Staff Backend Engineer - JVM (Java/Kotlin) & AWS

🏢 Summary: Senior Backend Engineer role focused on designing, building, and operating high-scale distributed systems for real-time location intelligence data processing on the JVM. The position involves end-to-end ownership of cloud-native backend services on AWS, ensuring scalability, reliability, and performance in production environments. You will drive architectural decisions and deliver data-intensive integrations within a cross-functional team. 🗂️ Requirements: 4–5+ years of backend development experience in production environments, Strong expertise in Java or other JVM languages (Kotlin or Scala), Experience with Spring or Spring Boot, Proven experience designing and operating distributed systems, Hands-on experience with AWS and cloud-native architectures, Strong understanding of concurrency and data consistency, Experience with PostgreSQL or other relational databases, Experience debugging and optimizing production systems, Experience building high-throughput or data-intensive systems 📃 Skills: Java, Kotlin, Scala, Spring, SpringBoot, AWS, S3, SQS, SNS, Lambda, PostgreSQL, SQL, Concurrency, JVM, Terraform, MongoDB, Kubernetes, Athena, Glue, Batch, StepFunctions 🏢 Description: At Adsquare, our mission is driven by two core pillars: Passion – Solving complex challenges with great people, technology, and data Niche – Location Intelligence for Programmatic Advertising Our core values are at the heart of everything we do: Drive: We turn ambition into action Resilience: We adapt, persevere, and grow stronger No BS: We value honesty, transparency, and clear communication Humble: We choose modesty over vanity and let results speak for themselves Moral Compass: We do the right thing with fairness, integrity, and respect We are looking for candidates who not only bring strong technical expertise but also embody these values in their everyday work. Your Mission As a Senior Backend Engineer at Adsquare, you will take ownership of designing and operating high-scale distributed systems that power our core data products. Your primary mission is to build reliable, high-throughput backend services on the JVM that process and serve large volumes of location intelligence data in real time. You will work in a highly autonomous, cross-functional team and are expected to proactively identify problems, propose solutions, and drive them into production. In this role, you will: Design and evolve distributed backend systems with a strong focus on scalability, performance, and reliability Own services end-to-end: from architecture decisions to production operations Build and operate cloud-native systems on AWS Collaborate closely with Product and Data teams to deliver impactful features Continuously improve system design, engineering practices, and team effectiveness Your Profile We are looking for a senior-level engineer with strong backend and cloud experience, comfortable owning complex production systems. Must have 4–5+ years of experience building backend systems in production environments Strong expertise in Java or other JVM-based languages (Kotlin, Scala) and the Spring ecosystem Proven experience designing and operating distributed systems under real-world load Hands-on experience with AWS and cloud-native architectures Strong understanding of concurrency, data consistency, and system reliability Experience with PostgreSQL or other relational databases in high-throughput environments Ability to debug and optimize production systems (performance, memory, latency) Proactive mindset: you identify problems, take ownership, and drive solutions independently We especially value candidates who: Have worked on high-volume data or high-throughput systems Understand trade-offs between architectural approaches (sync vs async, etc.) Are comfortable making decisions in ambiguous environments What You Will Do Maintain and evolve existing partner integrations, ensuring reliability and scalability Design and build new integrations for large-scale data delivery Contribute to migrating services toward a cloud-native AWS architecture Monitor system health, troubleshoot production issues, and improve stability Desired Background We are particularly interested in candidates with experience in: Data-intensive or high-throughput backend systems Cloud-based architectures (especially AWS) API-driven or partner integration systems Monolith-to-distributed or cloud-native transformations Your Opportunities In this role, you will have real influence over the technical direction of our systems. We operate with a high level of ownership: engineers are expected to make decisions, propose improvements, and drive execution from idea to production. You will: Shape system architecture and key technical decisions Own services end-to-end and evolve them over time Contribute to scaling our systems and data processing capabilities Work in an environment that values initiative and accountability Recruiting Process Our hiring process is transparent, focused, and respectful of your time: Intro & Values Conversation – Getting to know each other, discussing experience, and aligning expectations Technical Interviews – Backend fundamentals and system design discussions Final Step – Team meeting followed by decision and offer A reference check will be conducted at the final stage. Our Tech Stack Our backend stack is centered around the JVM ecosystem and AWS: Core technologies: Java (11+) and Kotlin Spring / Spring Boot AWS (S3, SQS/SNS, Lambda, etc.) PostgreSQL Also used in our environment: Terraform (Infrastructure as Code) MongoDB Kubernetes Data tools (Athena, Glue, Batch, Step Functions) We do not expect experience with all of these technologies, but you should be comfortable working in modern cloud and data-intensive environments.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: 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. 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 to architect and build the core systems of a next-generation AdTech platform, focusing on high-throughput, low-latency services for campaign delivery, targeting, and attribution. The position involves defining system architecture from the ground up using Python, Django, Kubernetes, and AWS in a distributed, scalable environment. Engineers will drive technical direction, optimize performance, and provide leadership in a fast-paced, product-driven setting. 🗂️ Requirements: 5+ years of software development experience building scalable backend systems, Strong knowledge of algorithms, data structures, networking, and databases, Proven experience designing and scaling distributed systems, Experience with backend programming languages (e.g. Java, .NET, Python, Node.js), Ability to design high-throughput, low-latency systems, Experience with system architecture and technical decision-making, Availability to work until 1pm EST, Upper-intermediate English level 📃 Skills: Python, Django, Kubernetes, AWS, PostgreSQL, Java, .NET, Node.js, ETL, OpenRTB, Prebid.js, GoogleAdManager, AmazonUAM, DSP, SSP 🏢 Description: ID68432 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to architect and build the core systems of a next-generation AdTech platform that embeds products directly into visual experiences. You will design high-throughput, low-latency services for campaign delivery, targeting, attribution, and partner integrations using Python, Django, Kubernetes, and AWS. This is an early-stage initiative where senior engineers define the technical direction and system architecture from the ground up. What you will do Architect, build, and evolve core systems for the Ads platform; Design APIs and services supporting campaign management, targeting, delivery, attribution, and reporting; Build and optimize high-throughput, low-latency systems processing large volumes of events and data; Own critical systems end-to-end, including design, implementation, deployment, monitoring, and ongoing improvements; Drive architectural decisions and establish patterns that support scalability, reliability, and developer productivity; Collaborate closely with product, data, and partner teams to translate business requirements into robust technical solutions; Provide technical leadership through design reviews, system discussions, and mentoring other engineers; Contribute to engineering best practices, documentation, and long-term platform vision; Participate in hiring and help grow a strong, high-performing team. Must haves 5 years of software development experience building scalable systems using backend programming languages/frameworks (e.g. Java , .NET , Python , Node.js , etc); Deep understanding of computer science fundamentals, including algorithms, data structures, networking, and databases; Proven experience designing and scaling distributed systems with a focus on performance, observability, and fault tolerance; Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems; Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board; Exceptional ownership mindset; Availability to work till 1pm EST (till 8 pm Kyiv time) ; Excellent communication and cross-functional collaboration skills; Comfortable operating in a fast-paced, high-autonomy, product-driven environment; Experience with e-commerce and catalog management is preferred; Familiarity with Python , Django , Kubernetes , PostgreSQL , and AWS is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome; Upper-intermediate English level. Nice to haves Strong experience with complex ETL flows and high-throughput systems is highly preferred; Experience with AdTech (This may include experience with DSPs, SSPs, ad exchanges, affiliate programs, Prebid.js, Prebid Server, Google Ad Manager, Amazon UAM/TAM, OpenRTB, identity and addressability solutions, as well as ad operations workflows.) The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Backend Engineer role focused on architecting and building the core systems of a next-generation AdTech platform, designing high-throughput, low-latency services for campaign delivery, targeting, and attribution. The position involves defining system architecture from scratch, scaling distributed systems, and providing technical leadership in a fast-paced environment. Strong experience with scalable backend development and AdTech ecosystems is required. 🗂️ Requirements: 5+ years of experience building scalable backend systems, Experience in AdTech (DSPs, SSPs, ad exchanges, Prebid, Google Ad Manager, OpenRTB, etc.), Strong knowledge of algorithms, data structures, networking, and databases, Proven experience designing and scaling distributed systems, Experience with backend programming languages (Java, .NET, Python, Node.js), Ability to design high-throughput, low-latency systems, Upper-intermediate English level, Availability to work until 1pm EST, Experience mentoring engineers and driving architectural decisions 📃 Skills: Python, Django, Kubernetes, AWS, PostgreSQL, Java, .NET, Node.js, OpenRTB, Prebid.js, Prebid, GoogleAdManager, AmazonUAM, AmazonTAM, ETL 🏢 Description: ID52365 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to architect and build the core systems of a next-generation AdTech platform that embeds products directly into visual experiences. You will design high-throughput, low-latency services for campaign delivery, targeting, attribution, and partner integrations using Python, Django, Kubernetes, and AWS. This is an early-stage initiative where senior engineers define the technical direction and system architecture from the ground up. What you will do Architect, build, and evolve core systems for the Ads platform; Design APIs and services supporting campaign management, targeting, delivery, attribution, and reporting; Build and optimize high-throughput, low-latency systems processing large volumes of events and data; Own critical systems end-to-end, including design, implementation, deployment, monitoring, and ongoing improvements; Drive architectural decisions and establish patterns that support scalability, reliability, and developer productivity; Collaborate closely with product, data, and partner teams to translate business requirements into robust technical solutions; Provide technical leadership through design reviews, system discussions, and mentoring other engineers; Contribute to engineering best practices, documentation, and long-term platform vision; Participate in hiring and help grow a strong, high-performing team. Must haves 5 years of software development experience building scalable systems (backend programming languages/frameworks, e.g. Java , .NET , Python , Node.js etc); Experience with AdTech (This may include experience with DSPs, SSPs, ad exchanges, affiliate programs, Prebid.js, Prebid Server, Google Ad Manager, Amazon UAM/TAM, OpenRTB, identity and addressability solutions, as well as ad operations workflows); Deep understanding of computer science fundamentals (algorithms, data structures, networking, databases); Proven experience designing and scaling distributed systems focusing on performance, observability, and fault tolerance; Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems; Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board; Exceptional ownership mindset — you drive initiatives forward, raise the bar, and deliver lasting impact; Excellent communication and cross-functional collaboration skills; Availability to work till 1pm EST (till 8 pm Kyiv time) ; Comfortable operating in a fast-paced, high-autonomy, product-driven environment; Experience with e-commerce and catalog management is preferred; Familiarity with Python , Django , Kubernetes , PostgreSQL , and AWS is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome; Upper-intermediate English level. Nice to haves Strong experience with complex ETL flows and high-throughput systems is highly preferred. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Backend Engineer role focused on designing and building scalable serverless middleware services for digital ordering, payments, loyalty, and third-party integrations on a major consumer platform using AWS and Node.js/TypeScript. The position emphasizes event-driven architecture, infrastructure as code, secure authentication, and active use of AI-assisted development tools. It involves API development at scale, cloud-native deployments, and collaboration on high-quality, secure backend systems. 🗂️ Requirements: 4+ years of backend development experience, Experience building and operating RESTful and/or GraphQL APIs at scale, Proficiency in JavaScript or TypeScript, Experience with serverless architectures on AWS (Lambda, API Gateway, DynamoDB, SQS/SNS), Experience with CI/CD pipelines and Git-based source control workflows, Familiarity with Infrastructure as Code (Terraform or CloudFormation), Understanding of event-driven architecture, webhooks, async messaging, pub/sub, Experience integrating with third-party and vendor APIs, Strong debugging and production incident management skills, Upper-intermediate English level 📃 Skills: JavaScript, TypeScript, Node.js, AWS, Lambda, API Gateway, DynamoDB, SQS, SNS, Terraform, CloudFormation, Git, GitHub, Azure, REST, GraphQL, Cognito, OAuth2, OpenID, Datadog, Dynatrace, CloudWatch, Akamai, CloudFront, CI/CD 🏢 Description: ID72455 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to design and build scalable middleware services powering digital ordering, payments, loyalty, and third-party integrations across a major consumer platform. You will develop serverless applications using AWS Lambda and API Gateway, build Node.js/TypeScript microservices, design event-driven architectures with SQS/SNS, and implement infrastructure as code with Terraform. The role includes active use of AI-assisted development tools as a core part of the daily engineering workflow. What you will do Develop serverless applications using AWS Lambda and API Gateway; Build and maintain Node.js/TypeScript microservices; Design event-driven architectures using SQS/SNS; Build infrastructure as code using Terraform; Leverage AI-assisted development tools (GitHub Copilot, Claude, and similar) as a core part of daily engineering work — from code generation and refactoring to test coverage and documentation. Champion AI tooling adoption across the team; Create integrations with delivery providers and payment platforms; Collaborate with business stakeholders and product teams to understand functional and technical requirements; translate those into scalable, maintainable architecture and implementation plans; Conduct constructive code reviews and provide technical design guidance to peers and junior engineers, raising the overall quality and consistency of team output; Enforce data governance, security policies, and compliance standards throughout the software development lifecycle; Implement secure authentication and identity flows using Amazon Cognito. Must haves 4+ years of backend development experience ; Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Strong proficiency in one or more of: JavaScript/TypeScript (Node.js, Java, or C#) ; Experience with serverless architectures on AWS ( Lambda , API Gateway , DynamoDB , SQS/SNS ); Demonstrated experience building and operating RESTful and/or GraphQL APIs at scale; Experience with CI/CD pipelines and source control workflows (Git, GitHub Actions, Azure DevOps); Familiarity with Infrastructure as Code ( Terraform or CloudFormation); Solid understanding of integration patterns: event-driven architecture, webhooks, async messaging, and pub/sub; Experience integrating with third-party platforms and vendor APIs (e.g., delivery aggregators, POS systems, loyalty platforms, or similar ecosystem partners); Ability to translate ambiguous business requirements into clear technical specifications; Collaborative mindset with a willingness to give and receive candid code review feedback; Strong debugging, root-cause analysis, and production incident management skills. Upper-intermediate English level. Nice to haves DoorDash, Uber Eats, or similar delivery integrations; Payment platform integrations; Restaurant, retail, or QSR experience; Amazon Cognito expertise; Experience with multi-region AWS deployments and global traffic management (Akamai, CloudFront); Familiarity with identity and authentication patterns: OAuth 2.0, OpenID Connect, AWS Cognito; Hands-on experience with observability platforms (Dynatrace, Datadog, CloudWatch); Experience prompting, fine-tuning, or orchestrating LLMs/AI agents as part of a software delivery workflow; Experience in QSR, retail, or e-commerce domains; AWS Certified Developer – Associate or higher; Exposure to React Native or cross-platform mobile app integration patterns. The benefits of joining us Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 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 defining the technical direction and architecture of a domain within a borderless financial platform. The position involves designing scalable microservices, driving architectural decisions, and leading a small backend team in a distributed environment. The role emphasizes reliability, security, and high‑volume transaction processing in a cloud-based ecosystem. 🗂️ Requirements: 4-7 years backend engineering experience, Proficiency in Go, Experience with Java 21 or modern Java, Experience designing microservices with clear contracts, Experience with caching strategies including TTL and invalidation, Experience with event-driven or asynchronous architectures, Experience with structured logging, metrics, and alerting, Experience with AWS services, Experience with relational and non-relational databases, Experience with Spring Boot or similar frameworks, Experience reviewing code and architectural decisions, Availability to work in GMT+5:30 timezone 📃 Skills: Java, Go, Spring, JDBI, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS, EKS, ALB, RDS, S3, Kong, Datadog, Quickwit, JWT, RBAC, TLS, Docker, ArgoCD, GitHub, Microservices, Kafka, CDC 🏢 Description: Project overview This project focuses on developing a borderless financial platform that supports international banking flows, payments, account management and regulatory compliant operations. The product handles sensitive data and high volume transactions while prioritising reliability and security. Team You will work in a distributed environment with backend engineers, a product manager and platform specialists. The role involves leading a sub team of three to five engineers, conducting design reviews, ensuring code quality standards and supporting collaborative decision making. Position overview We are looking for a Senior Backend Engineer who will define the technical direction of a backend domain and drive architectural decisions. You will design microservices, create scalable solutions, guide a small engineering group and collaborate closely with product specialists to shape the delivery roadmap. We are looking for a person willing to work in the time zone: GMT+5:30. Technology stack Java 21, Go, Spring Boot, JDBI, custom workflow engines, PostgreSQL, CockroachDB, DynamoDB, Redis, SQS, SNS, Kafka, AWS EKS ALB RDS S3 Secrets Manager, Kong API Gateway, Datadog, Quickwit, JWT RBAC TLS request and response encryption VAPT, GitHub Actions, Docker, ArgoCD, microservices, event driven architecture, saga and orchestration patterns, CDC pipelines, maker checker workflows Responsibilities Plan and design backend microservices with clear boundaries and contracts Develop solutions for domains such as onboarding, payments, transaction orchestration or platform components Break complex epics into actionable tasks with clear acceptance criteria Review designs from other engineers to ensure scalability and fault tolerance Drive technical decisions including caching layers, asynchronous processing strategies, database choices and API versioning Evaluate build versus buy options for integrations and services Collaborate with a product manager to align on scope and prioritisation Lead a sub team of backend engineers and support their professional growth Support incident response, root cause analysis and long term improvements Monitor service performance using logging, metrics and tracing tools Requirements Professional backend engineering experience from 4-7 years Experience with Go (tooling & CLIs) Experience designing microservices with well-defined contracts and boundaries Experience with Java 21 or modern Java versions Experience with caching strategy design, including TTL and invalidation approaches Experience working with asynchronous processing, event-driven architecture, or queue-based workflows Experience using structured logging, metrics, and alerting to debug production systems Experience in making build versus buy decisions with clear trade-off analysis Experience reviewing code and identifying architectural or contract issues Experience with AWS-based services Experience working with relational and non-relational databases such as PostgreSQL or DynamoDB Experience writing backend services using Spring Boot or similar frameworks Nice to have Experience with financial or payments related systems Experience with KYC or AML flows Experience with workflow or orchestration engines Experience with platform wide pattern creation or reusable service design Experience with data encryption practices and security audits Experience with CockroachDB or high availability distributed databases What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Senior AI Software Engineer – Backend role focused on designing, building, and scaling production-grade AI backend services, including LLM integrations, RAG pipelines, and distributed cloud-native systems. The position emphasizes reliable, observable, and secure AI solutions deployed in AWS using modern backend and infrastructure practices. You will work in an Agile environment delivering scalable APIs, microservices, and AI-driven workflows for enterprise use cases. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, 6+ years backend or software engineering experience, Hands-on experience delivering AI-enabled or data-intensive backend solutions, Proficiency in at least one backend language: Python, Java, Go, Kotlin, C#, or TypeScript, Strong experience building REST APIs, microservices, and distributed systems, Experience with Python backend frameworks such as FastAPI and async programming, Experience integrating LLMs or cloud AI services with orchestration layers, Knowledge of RAG, vector search, and semantic retrieval concepts, Experience with SQL and NoSQL databases, Experience with AWS cloud services and cloud-native architectures, Experience with Terraform or infrastructure-as-code tools, Experience with Git and Agile/Scrum methodologies, Knowledge of testing, monitoring, logging, and AI evaluation practices 📃 Skills: Python, Java, Go, Kotlin, C#, TypeScript, FastAPI, REST, Microservices, LLM, RAG, Vector, SQL, NoSQL, AWS, Terraform, Git, Scrum, Kubernetes, Docker, CI/CD, Async, Serverless, Containers 🏢 Description: YOUR CONTRIBUTION Our culture is agile and collaborative, and we genuinely believe our people are some of the best with which you’ll ever work. We are looking for a skilled and passionate Senior AI Software Engineer – Backend to join our Centre of Excellence and the SWE team to design, build and scale production-grade AI services, intelligent workflows, and backend platforms that create measurable business value. YOUR “DAY-TO-DAY”: Design, develop and operate production-grade AI backend services, APIs, and event-driven components with strong focus on scalability, reliability, latency, and cost efficiency. Build and integrate capabilities based on LLMs and other AI services, including prompt orchestration, structured outputs, tool calling, and workflow automation. Develop retrieval and knowledge integration patterns such as RAG, vector search, and metadata-driven content pipelines for enterprise use cases. Participate and support Agile methods and frameworks by taking part in planning events, daily stand-ups, code reviews, and technical discussions. Collaborate closely with product, platform, frontend, DevOps, security, and data stakeholders as a valued member of a self-managing, cross-functional SWE team. Implement robust observability, evaluation and guardrails for AI solutions, including logging, tracing, monitoring, feedback loops and incident troubleshooting. Manage and optimize scalable distributed systems on the Cloud, using secure-by-design and infrastructure-as-code practices. Develop automated tests and evaluation suites to validate backend logic, model behavior, regression scenarios, and non-functional requirements. Translate product and business needs into reliable technical designs, reusable services, and maintainable integration patterns. Continuously improve architecture, developer experience, and engineering standards by contributing to best practices, reviews, and technical mentorship within the Backend community. BACKGROUND AND QUALIFICATIONS: Bachelor's Degree or higher in Computer Science, Software Engineering, Data Engineering, or related field, with appropriate professional experience. Proven work experience as a Backend Engineer or Software Engineer for 6+ years, with hands-on delivery of AI-enabled or data-intensive backend solutions. Strong experience with Agile delivery frameworks such as Scrum and modern source code management practices using Git. Knowledge of AI engineering patterns such as agentic workflows, semantic caching, prompt/version management, and human-in-the-loop controls. Strong proficiency in one or more backend languages such as Python, Java, Go, Kotlin, C#, or TypeScript, with production experience building APIs and services. Solid experience designing and operating backend services, microservices, and distributed systems, including RESTful APIs, asynchronous processing, and messaging patterns. Hands-on experience with Python-based AI/backend frameworks and service development patterns, such as FastAPI, async programming, data validation, and structured outputs. Experience integrating foundation model or cloud AI services and building reliable orchestration layers for prompts, tools, and model interactions. Good knowledge of data access patterns and storage technologies, including SQL and NoSQL databases, caching, and vector databases or semantic retrieval concepts. Experience with AWS cloud services and cloud-native engineering practices, including serverless, containers, observability, and infrastructure automation. Experience with Terraform or other infrastructure-as-code tooling. Knowledge of AI solution quality practices, including testing strategies, evaluation, monitoring, security, privacy, and responsible-use guardrails. Knowledgeable about software architecture, design patterns, logging, monitoring, and performance optimization. Excellent analytical and time management skills, strong teamwork mindset, and a pragmatic problem-solving attitude. Passionate about software engineering, continuous learning, and the practical adoption of emerging AI technologies. ADDITIONAL EXPERIENCE PREFERRED OR HELPFUL: Experience with cloud AI platforms and managed model services, preferably in AWS environments. Experience with Kubernetes, Docker containers, and CI/CD pipelines for deploying and operating AI-enabled services. Experience with product and collaboration tools such as Jira and Confluence. Summary: Senior AI Software Engineer – Backend Role in a nutshell: A senior backend engineer focused on building and scaling production-grade AI services — think LLM integrations, RAG pipelines, agentic workflows, and cloud infrastructure — within a collaborative, cross-functional team. Experience needed: 6+ years in backend/software engineering, with hands-on AI or data-intensive delivery. Must-have tech: Python (FastAPI, async), REST APIs, microservices, Terraform, AWS, SQL/NoSQL/vector databases, Git, Agile/Scrum. Nice to have: Kubernetes, Docker, CI/CD, Terraform, Jira/Confluence. Key soft skills: Strong communicator, team player, pragmatic problem-solver, passionate about AI and continuous learning. Degree: Computer Science, Software Engineering, or related field. The right candidate is someone who bridges solid backend engineering fundamentals with practical AI delivery experience — not just a data scientist or ML researcher, but an engineer who ships reliable, observable AI products in production.

🏢 Summary: The offer is for a Backend Engineer responsible for building and maintaining high-performance backend systems in a cloud-based environment using Java, Kubernetes, and AWS. The role focuses on developing containerized applications and operating them reliably in the AWS cloud. It is a long-term remote B2B contract centered on scalable and cloud-native technologies. 🗂️ Requirements: Proficiency in Java, Experience with JVM ecosystem and Spring Boot, Experience with Kubernetes and Docker, Hands-on experience with AWS services (Lambda, EC2, ECS, EKS), Basic knowledge of Terraform, Minimum 1-2 years of AWS or other cloud platform experience, Understanding of containerization concepts, Knowledge of Camunda or AWS Step Functions 📃 Skills: Java, Python, Spring, SpringBoot, Kubernetes, Docker, AWS, Lambda, EC2, ECS, EKS, Terraform, Angular, Camunda, StepFunctions, JVM 🏢 Description: Backend Engineer (Java/Kubernetes/AWS): Introduction & Summary: This role requires a skilled Backend Engineer proficient in Java with experience in Kubernetes and AWS. The ideal candidate will be responsible for developing and maintaining efficient backend systems that prioritize performance and reliability while leveraging cloud technologies. What we offer: Full Remote Rate: 180-200 PLN/ H+ VAT Long Term B2B contract Main Responsibilities: Develop and maintain backend systems, running in Kubernetes in the AWS cloud, with a focus on performance and reliability. Build and manage containerized applications using tools like Docker and Kubernetes. Utilize cloud services, particularly AWS, to deploy and operate applications efficiently. Key Requirements: Proficiency in Java is required, with additional experience in Python as a plus. Experience with the JVM ecosystem, especially Spring Boot. Familiarity with frontend technologies, particularly Angular. Solid understanding of containerization technologies, including Docker and Kubernetes. Hands-on experience with AWS cloud services like Lambda, EC2, ECS, and EKS. Basic Terraform knowledge is essential. Minimum of 1-2 years working with AWS or equivalent experience with other cloud platforms. Knowledge of business process modeling or workflow orchestration tools such as Camunda or AWS Step Functions. Nice to Have: Experience with CI/CD pipelines. Familiarity with microservices architecture. Understanding of Agile methodologies. Other Details: This position may offer remote work flexibility. The role is for a long-term assignment focusing on cloud-based technologies in a dynamic environment.

🏢 Summary: Long-term remote B2B contract for a Backend Engineer responsible for building and maintaining high-performance backend systems in Java, deployed on Kubernetes within AWS. The role focuses on developing containerized applications and leveraging cloud services to ensure scalability and reliability. Work involves JVM-based technologies and cloud-native architecture. 🗂️ Requirements: Proficiency in Java, Experience with Spring Boot and JVM ecosystem, Hands-on experience with AWS services (Lambda, EC2, ECS, EKS), Minimum 1–2 years of experience with AWS or other cloud platforms, Strong knowledge of Docker and Kubernetes, Experience building and managing containerized applications, Basic knowledge of Terraform, Knowledge of Camunda or AWS Step Functions 📃 Skills: Java, Spring, JVM, AWS, Lambda, EC2, ECS, EKS, Kubernetes, Docker, Terraform, Camunda, StepFunctions, Angular, Python 🏢 Description: Backend Engineer (Java/Kubernetes/AWS): Introduction & Summary: This role requires a skilled Backend Engineer proficient in Java with experience in Kubernetes and AWS. The ideal candidate will be responsible for developing and maintaining efficient backend systems that prioritize performance and reliability while leveraging cloud technologies. What we offer: Full Remote Rate: 180-200 PLN/ H+ VAT Long Term B2B contract Main Responsibilities: Develop and maintain backend systems, running in Kubernetes in the AWS cloud, with a focus on performance and reliability. Build and manage containerized applications using tools like Docker and Kubernetes. Utilize cloud services, particularly AWS, to deploy and operate applications efficiently. Key Requirements: Proficiency in Java is required, with additional experience in Python as a plus. Experience with the JVM ecosystem, especially Spring Boot. Familiarity with frontend technologies, particularly Angular. Solid understanding of containerization technologies, including Docker and Kubernetes. Hands-on experience with AWS cloud services like Lambda, EC2, ECS, and EKS. Basic Terraform knowledge is essential. Minimum of 1-2 years working with AWS or equivalent experience with other cloud platforms. Knowledge of business process modeling or workflow orchestration tools such as Camunda or AWS Step Functions. Nice to Have: Experience with CI/CD pipelines. Familiarity with microservices architecture. Understanding of Agile methodologies. German languages Other Details: This position may offer remote work flexibility. The role is for a long-term assignment focusing on cloud-based technologies in a dynamic environment.