Lead / Senior Data Analyst (k/m)

🏢 Summary: Backend engineering role within the Kernel team focused on developing and improving a critical execution engine that runs pricing models safely and reliably at scale. The position involves implementing backend enhancements, strengthening automated testing, and supporting debugging and internal tooling while growing expertise in systems engineering. It offers hybrid work in Warsaw with competitive salary and long-term development in high-impact AI-driven infrastructure. 🗂️ Requirements: Experience building backend components or services in Python or a strongly typed compiled language (Rust, Go, Java, Kotlin, C, C++), Experience writing automated tests for backend code, Strong knowledge of data structures and algorithms, Ability to debug software issues using logs, metrics, and reproducible scenarios, Experience collaborating through code reviews or pair programming, Willingness to learn Rust and deepen systems engineering expertise 📃 Skills: Python, Rust, Go, Java, Kotlin, C, C++, Backend, Testing, Algorithms, Data-structures, Debugging, Git, Linux 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw Salary for Associate (IC1) : UoP (Contract of Employment) = 13,000 - 18,000 PLN per month gross B2B = 15,000 - 21,000 PLN per month net +VAT About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Kernel team The Kernel team sits at the core of hx’s platform, responsible for the execution engine that runs pricing models safely, reliably, and at scale. Their work underpins the decisions insurers make using hx, ensuring complex pricing logic executes consistently while maintaining the performance and reliability required for mission critical underwriting workflows. Within this space, the team builds and maintains the systems that interpret, execute, and validate model logic. This includes improving the safety and determinism of execution, strengthening automated testing and verification, and developing tools that allow engineers and actuaries to trust the platform when deploying high value pricing models. In this role, you will support the Kernel team by contributing well scoped features, tests, and internal tooling while learning how the execution engine works end to end. You will work closely with experienced engineers to understand the architecture, investigate issues, and gradually take on more complex ownership as your understanding of the system grows. Your engineering responsibilities Implement small, well scoped backend improvements within the Kernel execution engine, delivering reliable changes that strengthen the stability and correctness of model execution. Extend and maintain automated test suites that validate execution behaviour, increasing confidence in changes and helping the team maintain a high standard of safety in a critical system. Contribute to internal tooling and scripts that support testing, debugging, and developer workflows, improving the speed and reliability with which the team can analyse Kernel behaviour. Assist with structured debugging investigations by running defined scenarios, collecting logs and metrics, and summarising findings that help engineers identify root causes more quickly. Learn the architecture and execution model of Kernel through hands on development and collaboration, steadily progressing from small tasks to more complex changes within the system. Work closely with experienced engineers through reviews and pairing, contributing to a collaborative engineering culture while building the discipline required to operate safely in a high impact backend system. What you need to be successful Built backend components or services in Python, or a strongly typed compiled language such as Rust, Go, Java, Kotlin, C, or C++, delivering reliable functionality and maintainable code in production or academic systems. Written automated tests for your own work, helping ensure changes behave as expected and maintaining confidence in system correctness as software evolves. Applied core computer science fundamentals such as data structures and algorithms to implement efficient and reliable backend logic. Investigated software issues by reproducing problems, gathering relevant logs or data, and clearly communicating observations and hypotheses to collaborators. Collaborated effectively with other engineers through code reviews, pair programming, or mentorship, responding constructively to feedback and improving your work through iteration. Demonstrated a strong learning mindset by picking up new technologies or languages, with enthusiasm to develop expertise in Rust and systems engineering over time. Interview Process Initial call with Talent team (30 minutes) Manager Interview with Technical Assessment (90 minutes) Values Interview with Tech Leadership (60 minutes) Offer How hx Warsaw Works At hyperexponential, we believe in a balance between remote work, and building relationships across teams and locations. You’ll have your main office in Warsaw, 2 days a week, with also ability to travel to London HQ to meet the wider team. International travel will be much less frequent, perhaps 2-3 times a year. Warsaw HQ was established in 2023, quickly hiring our first handful of high-calibre engineers. Fast-forward to today in 2026, there are 50+ in Warsaw and surrounding cities who travel for the collaborative environment. On Wednesdays you’ll often find Warsaw HQ organising team lunch paid by hx, getting drinks after hours. The office is also dog-friendly, so feel free to bring yours along! What Your Offer Could Look Like B2B Share Options at a highly successful Series B company 25 days of non-working + Polish bank holidays £5,000 GBP budget for Learning & Development Mental Health Support and Therapy via Spectrum Life Optional for you: access to Private Healthcare via Luxmed + Multisport (fully funded by yourself as B2B Contractor) Top-spec laptop (MacOS or Windows) Contract of Employment (UoP) Share Options at a highly successful Series B company £5,000 GBP budget for Learning & Development 26 days of holiday + Polish bank holidays Company pension Company Sick Pay for 10 days at 100% salary Mental Health Support and Therapy via Spectrum Life Monthly Wellbeing allowance via Juno Private Healthcare Insurance via Luxmed Multisport - Classic level Top-spec work equipment (MacOS, Windows + additional monitors, mechanical keyboards etc)

🏢 Summary: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 Summary: Long-term B2B role in a large-scale, business-critical banking project focused on developing new features for a global credit platform. Work within a modern, continuously updated tech stack, contributing to AI and LLM-driven solutions in a complex, modular system. Emphasis on high code quality, cross-functional collaboration, and advanced financial processes in an international environment. 🗂️ Requirements: Minimum 4 years commercial experience in backend or frontend development, Strong knowledge of Java 8/17, Strong knowledge of Spring Boot, Strong knowledge of Hibernate, Strong knowledge of Oracle, Strong knowledge of PL/SQL, Strong knowledge of Liquibase, Experience with Angular 19/20, Experience with Nx, Knowledge of micro-frontend architecture, Experience with NgRx, Experience with CI/CD tools, Experience with Kubernetes, Experience with ELK Stack, Fluent English 📃 Skills: Java, Spring, Hibernate, Oracle, PLSQL, Liquibase, Angular, Nx, NgRx, Bitbucket, Jenkins, SonarQube, Kubernetes, ELK, Microfrontend, CI/CD 🏢 Description: 📍 Hybryda/ Warszawa lub Kraków (1-2 wizyty w tygodniu w biurze) 💰 155–165 PLN/h (B2B) 🌍 English: Fluent 📍Branża: bankowość Oferujemy udział w długoterminowym i stabilnym projekcie krytycznym biznesowo, o dużej skali i złożoności, nowoczesny stack technologiczny stale aktualizowany - maksymalnie jedna wersja poniżej najnowszej, możliwość pracy przy rozwiązaniu wykorzystywanym globalnie, współpraca z najlepszymi specjalistami, duży nacisk na jakość i zrozumienie technologii, udział w rozwijaniu własnego ekosystem AI i rozwiązań LLM, przewaga rozwoju nowych funkcjonalności nad utrzymaniem systemu. Obowiązki Tworzenie i rozwój rozwiązań zgodnych z długoterminową roadmapą produktową. Współpraca z międzynarodowymi zespołami cross-funkcyjnymi przy projektowaniu i implementacji nowych funkcjonalności. Dbanie o wysoką jakość kodu poprzez testy, code review oraz przestrzeganie standardów developerskich. Estymowanie prac, planowanie zadań oraz regularne raportowanie statusu do interesariuszy. Wsparcie i mentoring członków zespołu oraz dzielenie się wiedzą techniczną. O projekcie Projekt koncentruje się na rozwoju i wdrażaniu nowych funkcjonalności dla globalnej platformy wspierającej procesy kredytowe dla dużych klientów korporacyjnych. Zespół regularnie realizuje nowe inicjatywy biznesowe, rozwija istniejące moduły oraz dostarcza rozwiązania odpowiadające na potrzeby wielu rynków i krajów. System działa produkcyjnie od kilku lat, jest wykorzystywany na całym świecie i należy do grupy kluczowych aplikacji banku. Platforma składa się z ponad 20 rozbudowanych modułów. Praca przy projekcie wiąże się z realizacją złożonych wyzwań biznesowych i technologicznych, współpracą w międzynarodowym środowisku oraz poznawaniem zaawansowanych procesów finansowych. Wymagania Minimum 4 lata komercyjnego doświadczenia w developmencie backendowym lub frontendowym wraz z dobrą znajomością „drugiej strony” stacku. Bardzo dobra znajomość: Java 8/17 Spring Boot Hibernate Oracle PL/SQL Liquibase Doświadczenie frontendowe: Angular 19/20 Nx architektura micro-frontend Jest NgRx Znajomość narzędzi i procesów CI/CD: Bitbucket Jenkins SonarQube Doświadczenie z: Kubernetes ELK Stack Umiejętność pracy zespołowej i proaktywne podejście. Bardzo dobra znajomość języka angielskiego w mowie i piśmie. Ta rola nie jest dla Ciebie, ale masz znajomego, który by się sprawdził? Poleć go i zgarnij nawet 5000 zł. Referral Program: Talent from your network Nie zwlekaj i zaaplikuj już teraz! Nr ref.: 30/5/2026/MN/3511

🏢 Summary: Senior BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

🏢 Summary: Machine Learning Engineer role focused on designing, building, and deploying production ML systems across Lyft Business, including pricing, fraud detection, marketplace optimization, and agentic AI applications. The position involves owning models end-to-end, developing scalable ML infrastructure, and translating business problems into impactful ML solutions. The role operates in high-scale environments influencing revenue, operations, and user experience. 🗂️ Requirements: Experience with GenAI and LLM ecosystems, Experience building and deploying production ML models, Experience with pricing, marketplace, or fraud ML problems, Experience with feature engineering and ML pipelines, Experience with cloud ML services, Ability to productionize research prototypes, Experience running experiments and evaluating ML performance, Ability to design scalable ML systems, Proficiency in writing production-quality code 📃 Skills: Python, MachineLearning, LLM, GenAI, RAG, LangChain, LangGraph, SageMaker, Bedrock, AWS, GraphNN, KnowledgeGraphs, NetworkAnalysis, APIs, Experimentation 🏢 Description: At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. Responsibilities: Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions Contribute to team engineering standards — code quality, observability, documentation, and testing practices Experience: Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) Experience with pricing, marketplace, or fraud-related ML problems Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend services for a modern accounting platform. The position involves designing distributed systems, building secure and high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to build scalable data pipelines and incident response infrastructure. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing and operating production backend systems at scale, Strong expertise in API design and data modelling, Deep understanding of distributed systems and architectural trade-offs, Hands-on experience with AWS or GCP in production environments, Practical experience with CI/CD pipelines and automated testing, Experience building and maintaining observability and on-call practices 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems, DataModelling, Observability 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior Backend Engineer role focused on designing and scaling AI-powered backend systems for submission triage, transforming unstructured insurance data into structured, actionable insights. The position involves architecting data pipelines, integrating AI with deterministic logic, and driving key technical decisions in a high-impact product area. Work is hybrid from Warsaw with ownership over production-grade systems used by global insurers. 🗂️ Requirements: Experience building and scaling production backend systems on JVM (Java or Kotlin), Strong background in complex data processing or workflow orchestration, Experience designing systems that transform unstructured or semi-structured data into structured outputs, Ability to design resilient architectures with robust data validation and error handling, Experience collaborating with Product and cross-functional teams to translate workflows into technical solutions, Proven ownership in ambiguous environments with evolving requirements, Ability to make pragmatic architectural trade-offs for production systems 📃 Skills: Java, Kotlin, JVM, API, AI, MachineLearning, DataPipelines, Backend, Microservices, SQL 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw Salary for Senior (IC3) : UoP (Contract of Employment) = 23,000 - 31,000 PLN per month gross B2B = 27,000 - 37,000 PLN per month net +VAT About hyperexponential (hx) At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About Your Role Engineering at hx tackles complexity that matters. Submission Triage is one of our most strategically important product areas, transforming how the world's largest insurers handle inbound submissions. Where carriers once relied on slow, manual processes to sort through documents, emails, and attachments, we're building AI-powered workflows that convert chaos into clarity - enabling underwriters to focus on the risks that matter most. The Triage team sits at the intersection of ambitious product vision and technical depth. You'll work alongside Product, AI specialists, and client-facing teams to architect systems that ingest unstructured data from multiple channels, apply intelligent triage logic, and deliver actionable insights at speed. This isn't incremental improvement - it's reimagining how submission intake works in a market where every hour counts. As a Senior Engineer , you'll own meaningful architecture decisions, shape product direction through engineering judgement, and see your work deployed into production environments at global insurers within weeks. Success here is measured in faster quote turnarounds, reduced manual effort, and revenue growth for one of hx's highest-priority products. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! Your Senior Engineer Responsibilities Design and build scalable backend architecture for Triage that handles diverse submission formats (Excel, PDF, Word, images, email) and converts unstructured data into structured, actionable fields with measurable improvements in processing speed and accuracy. Partner directly with Product and clients to translate underwriting workflows into technical requirements, turning ambiguous problems into concrete system designs that demonstrably reduce manual triage time. Architect data pipelines that integrate AI-powered extraction with deterministic business logic, ensuring reliability and explainability while accelerating time-to-value for new client deployments. Drive technical decisions around system modularity, API design, and multi-tenant configuration strategies that support diverse client needs without creating unmaintainable complexity or slowing iteration speed. Collaborate with AI teams to identify where machine learning adds genuine value versus where traditional logic performs better, optimising for both accuracy and client trust in production environments. Establish patterns and architectural standards for a strategically critical product area, raising engineering quality while maintaining the velocity needed to respond to market demands and competitive pressures. What You Need To Be Successful Built and scaled production backend systems on the JVM (Java, Kotlin, or similar) that handled complex data processing or workflow orchestration, delivering measurable improvements in throughput, latency, or system reliability. Designed architectures for systems that ingested unstructured or semi-structured inputs and transformed them into structured outputs, demonstrating strong judgement around data validation, error handling, and pipeline resilience. Worked closely with product teams or clients to shape technical solutions based on real-world workflows, translating user needs into engineering decisions that balanced delivery speed with long-term maintainability. Delivered features in ambiguous problem spaces where requirements evolved rapidly, showing ownership over outcomes rather than simply executing pre-defined tickets or specifications. Made pragmatic trade-offs between technical excellence and time-to-market, shipping solutions that were good enough to validate hypotheses while maintaining the quality standards needed for production reliability. Collaborated with cross-functional teams (product, design, AI, or customer success) to drive alignment around technical direction, demonstrating strong communication skills and an ability to influence without formal authority. Interview Process Initial screening with Talent team to kick things off (30 minutes) Manager Interview (60 minutes) Technical Assessment - Code Review & Systems Design (120 minutes) Values Interview (60 minutes) We offer! How hx Warsaw Works At hyperexponential, we believe in a balance between remote work, and building relationships across teams and locations. You’ll have your main office in Warsaw, 2 days a week, with also ability to travel to London HQ to meet the wider team. International travel will be much less frequent, perhaps 2-3 times a year. Warsaw HQ was established in 2023, quickly hiring our first handful of high-calibre engineers. Fast-forward to today in 2025, there are 50+ in Warsaw and surrounding cities who travel for the collaborative environment. On Wednesdays you’ll often find Warsaw HQ organising team lunch paid by hx, getting drinks after hours. The office is also dog-friendly, so feel free to bring yours along! What Your Offer Could Look Like B2B Share Options at a highly successful Series B company 25 days of non-working + Polish bank holidays £5,000 GBP budget for Learning & Development Mental Health Support and Therapy via Spectrum Life Optional for you: access to Private Healthcare via Luxmed + Multisport (fully funded by yourself as B2B Contractor) Top-spec laptop (MacOS or Windows) Contract of Employment (UoP) Share Options at a highly successful Series B company £5,000 GBP budget for Learning & Development 26 days of holiday + Polish bank holidays Company pension Company Sick Pay for 10 days at 100% salary Mental Health Support and Therapy via Spectrum Life Monthly Wellbeing allowance via Juno Private Healthcare Insurance via Luxmed Multisport - Classic level Top-spec work equipment (MacOS, Windows + additional monitors, mechanical keyboards etc)

🏢 Summary: B2B contract for a Data Scientist working in a hybrid model (3 days onsite in Warsaw) focused on building, implementing, and maintaining statistical and machine learning models supporting actuarial processes. The role involves advanced data analysis, feature engineering, process automation, and close collaboration with actuarial and underwriting teams. 🗂️ Requirements: Very good knowledge of Python for data analysis and modeling, Strong knowledge of machine learning, predictive analytics, and statistical inference, Experience with data processing tools (pandas, SQL), Experience with data visualization tools (matplotlib, seaborn, ggplot2), Experience with code repositories, Strong analytical and problem-solving skills, Ability to work onsite in Warsaw 3 days per week 📃 Skills: Python, MachineLearning, PredictiveAnalytics, Statistics, pandas, SQL, matplotlib, seaborn, ggplot2, Git, SAS, AWS, Azure, Emblem, Radar 🏢 Description: Profil: Data Scientist Miejsce świadczenia usług: model hybrydowy – 3 razy w tygodniu praca z biura (Warszawa) + 2 razy w tygodniu praca zdalna – warunek konieczny. Forma współpracy: B2B. kontrakt Stawka: 150 - 180 zł/h Zakres obowiązków: Projektowanie, wdrażanie oraz utrzymanie modeli statystycznych i modeli uczenia maszynowego wspierających funkcje aktuarialne. Analiza dużych i złożonych zbiorów danych w celu formułowania praktycznych wniosków wspierających procesy decyzyjne. Prowadzenie eksploracyjnej analizy danych (EDA) oraz tworzenie cech (feature engineering) w celu zwiększenia jakości i interpretowalności modeli. Wsparcie automatyzacji i optymalizacji procesów aktuarialnych z wykorzystaniem nowoczesnych narzędzi oraz frameworków data science. Ścisła współpraca z aktuariuszami, underwriterami oraz zespołami likwidacji szkód w celu przekładania potrzeb biznesowych na rozwiązania analityczne. Przygotowywanie prezentacji wyników analiz i rekomendacji w sposób przystępny dla odbiorców technicznych. Wymagania: a. Must-have: Bardzo dobra znajomość języka Python w zakresie analizy danych i modelowania. Solidna wiedza z obszaru uczenia maszynowego, analityki predykcyjnej oraz wnioskowania statystycznego. Doświadczenie w pracy z narzędziami do przetwarzania danych (np. pandas, SQL) oraz wizualizacji danych (np. matplotlib, seaborn, ggplot2). Umiejętność pracy z repozytorium kodu. Silne kompetencje analityczne: rozwinięte umiejętności rozwiązywania problemów i dociekliwość w pracy z danymi. Umiejętność efektywnej komunikacji i współpracy w zespołach interdyscyplinarnych. Dyspozycyjność do pracy w biurze 3 razy w tygodniu. b. Nice-to-have: Znajomość narzędzi pricingowych WTW (Emblem, Radar). Znajomość branży ubezpieczeniowej. Znajomość narzędzi SAS. Znajomość systemów kontroli wersji (Git). Znajomość środowisk chmurowych (AWS, Azure). Benefity: Prywatna opieka medyczna Karta Multisport lub dostęp do kafeterii MyBenefit Ubezpieczenie na życie Co zyskasz dzięki aplikacji na ofertę Antal? Gdy Twoja aplikacja zostanie rozpatrzona pozytywnie (zostaniesz zaproszony/a do procesu), otrzymasz wsparcie Konsultanta/Konsultantki, który/a utrzyma z Tobą stały kontakt (mailowo lub telefonicznie), pomoże Ci przygotować się do rozmowy rekrutacyjnej z przyszłym pracodawcą oraz zatroszczy się o jakość procesu rekrutacyjnego, w którym aktualnie bierzesz udział. Kim jesteśmy? Jesteśmy liderem rekrutacji specjalistów i menedżerów oraz doradztwa w obszarze HR. Marka obecna jest w 35 krajach, w Polsce działa od 1996 roku. Przez ten czas zbudowaliśmy wiele karier kandydatów, dzięki elastycznemu i kompleksowemu podejściu do wszystkich rekrutacji. Antal tworzy ponad 130 profesjonalnych konsultantów ds. rekrutacji, którzy są oni nie tylko skutecznymi rekruterami, ale także wykwalifikowanymi doradcami, specjalizującymi się zarówno w zakresie wybranego sektora, jak i stanowiska.

🏢 Summary: Join the product team responsible for Allegro’s main listing and search page, building high-scale, data-driven solutions used by millions of users. The role focuses on developing and optimizing features in a microservices ecosystem, running large-scale A/B tests, and processing massive real-time data streams. You will deploy production features that handle billions of requests while leveraging modern DevOps and AI-supported development tools. 🗂️ Requirements: Commercial experience in backend or full-stack software development, Ability to design and implement scalable systems handling high traffic, Experience with microservices architecture, Experience with A/B testing and data-driven development, Knowledge of containerization and orchestration tools, Experience with version control and CI/CD pipelines, Ability to work in a hybrid model (Toruń-based team) 📃 Skills: Kubernetes, Docker, Consul, GitHub, GitHubActions, Microservices, ServiceMesh, Hermes, MachineLearning, AI 🏢 Description: About the job: A listing is not just an ordinary product list - it's a command center and a crucial stage of the shopping journey. This is where, in a fraction of a second, we have to connect and serve the essence of Allegro to the user. You will be right in the middle of the company's business and technological innovations, directly impacting how we present what matters most to buyers: from Allegro Smart! badges, through price presentation and coins, all the way to express delivery times. Your Impact and Growth: From the very beginning, you become a fully-fledged member of the product team with a real impact on how the main search page evolves. You deploy features to production, see their immediate effects, and learn how to optimize a product based on the behavior of millions of real people, rather than textbook theories. You enter a true technological proving ground - you create solutions that handle billions of requests and process gigantic data volumes in real-time. Our Data-Driven Culture: In the listing team, we base every change on hard data, not guesswork or intuition. Here, you will learn experiment-driven programming. You will learn how to design, implement, and analyze A/B tests on a massive sample of users. You will see with your own eyes how a minor optimization in your code translates into real customer behaviors and the business metrics of the entire company. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 11 200 - 15 250 Annual bonus based on your annual performance and company results. Our team is based in Toruń. What we offer: - Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. - Annual bonus based on your annual performance and company results. - Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). - A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. - A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). - English classes that we pay for related to the specific nature of your job. - A training budget, inter-team tourism ( more here ), hackathons, and an internal learning platform where you will find multiple trainings. - An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. - Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: - You will join a team you can count on - we work with top-class specialists who have sharing knowledge and experience in their DNA. - You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. - You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. - You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). - You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. - You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. - You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!