Staff Software Engineer

🏢 Summary: Hands-on DevOps Engineer role focused on operating and evolving a secure, mission-critical fintech platform used by global financial institutions. Responsible for production operations, CI/CD pipelines, cloud infrastructure, monitoring, incident management, and release coordination in a regulated environment. Combines engineering and operations to ensure reliability, security, and scalability at scale. 🗂️ Requirements: Experience with Linux/Unix systems in production, Proficiency in Infrastructure as Code using Terraform and Ansible, Experience building and maintaining CI/CD pipelines, Hands-on experience with cloud platforms (Azure preferred), Experience with containers and orchestration (Docker, Kubernetes), Scripting skills in Python and Bash, Strong security and incident response experience, Experience with monitoring and logging tools 📃 Skills: Linux, Unix, Terraform, Ansible, CI/CD, Azure, Docker, Kubernetes, Python, Bash, ELK, Grafana, Datadog, ISO27001, SOC2 🏢 Description: An innovative financial technology company is seeking an experienced DevOps Engineer to help operate and evolve a highly secure, mission‑critical platform used by global financial institutions. You’ll be responsible for production operations, CI/CD, cloud infrastructure, monitoring, incident management, and release coordination across a distributed platform. The role is hands‑on, blending operations with engineering in a regulated environment. Key skills Linux/Unix systems in production Infrastructure as Code (Terraform, Ansible) CI/CD, monitoring (ELK, Grafana, Datadog) Cloud platforms (Azure preferred) Containers & orchestration (Docker, Kubernetes) Scripting (Python, Bash) Strong security and incident response experience Nice to have Financial services experience Security, networking, or blockchain exposure Compliance standards (ISO27001, SOC2) What’s on offer Complex technical challenges in modern fintech Collaborative, high‑calibre engineering team Competitive package and flexible working Interested in building reliable, secure platforms at scale—apply to find out more.

🏢 Summary: DevOps Engineer role focused on building and optimizing scalable AWS-based infrastructure, driving CI/CD automation, and improving system reliability. The position involves environment architecture planning, infrastructure as code, Kubernetes orchestration, and production support in a collaborative DevOps team. The offer targets experienced engineers ready to take ownership of cloud-native, automated environments. 🗂️ Requirements: 3+ years experience as DevOps Engineer, 3+ years production experience with AWS, AWS Professional-level certification, Strong Linux administration skills, Strong networking knowledge, Strong scripting skills in Bash, Python or Go, Experience with CI/CD tools, 2+ years practical experience with Kubernetes, Understanding of relational and NoSQL databases, Experience with configuration management tools, Experience with Infrastructure as Code, Understanding of observability stack, Upper-Intermediate English level 📃 Skills: AWS, Linux, Networking, Bash, Python, Go, CI/CD, Kubernetes, SQL, NoSQL, Terraform, Ansible, CloudFormation, Prometheus, Grafana 🏢 Description: Are you passionate about building scalable infrastructure and driving automation? We are looking for a DevOps Engineer to join our high-performing DevOps team at Sigma Software. You will work alongside more than 30 talented specialists, applying industry best practices and modern methodologies to deliver top-quality solutions. At Sigma Software, we value innovation, professional growth, and collaboration. Joining us means access to diverse projects, cutting-edge technologies, and a supportive environment where you can take ownership and make a real impact. RESPONSIBILITIES Participate in environment and architecture planning Drive automation of CI/CD pipelines and other project processes Optimize existing environments and infrastructure structure Recommend new technologies and procedures to enhance service availability and management Troubleshoot production system and network issues related to performance and functionality Support and maintain existing environments Consult development teams on infrastructure-related questions REQUIREMENTS More than 3 years of hands-on experience as a DevOps Engineer At least 3 years of production experience with AWS AWS Professional-level certification (e.g., Solutions Architect — Professional and/or DevOps Engineer — Professional) Strong Linux administration and networking skills Strong scripting and coding skills with Bash, Python, and/or Go Experience with CI/CD tools At least 2 years of practical experience with Kubernetes Good understanding of relational and NoSQL databases Proven experience with configuration management tools and Infrastructure as Code Deep understanding of the observability stack At least an Upper-Intermediate level of English WILL BE A PLUS Hands-on experience with Azure and/or GCP Experience with GitOps and noOps approaches Expertise in OpenShift and AWS ECS Familiarity with serverless models Experience working on multiple projects simultaneously PERSONAL PROFILE Proactive, ownership-oriented mindset Strong problem-solving skills Ability to work collaboratively in large teams Comfortable working in a dynamic, fast-paced environment

🏢 Summary: The offer is for a DevOps Engineer responsible for designing and optimizing scalable infrastructure, automating CI/CD pipelines, and maintaining production environments. The role focuses on AWS-based cloud solutions, Kubernetes orchestration, Infrastructure as Code, and observability practices to ensure high availability and performance. 🗂️ Requirements: 3+ years of DevOps experience, 3+ years of production experience with AWS, AWS Professional-level certification, Strong Linux administration, Strong networking skills, Scripting skills with Bash, Python or Go, Experience with CI/CD tools, 2+ years of Kubernetes experience, Knowledge of relational and NoSQL databases, Experience with configuration management tools, Experience with Infrastructure as Code, Understanding of observability stack 📃 Skills: AWS, Linux, Networking, Bash, Python, Go, Kubernetes, CI/CD, SQL, NoSQL, IaC, Observability, ConfigurationManagement 🏢 Description: Are you passionate about building scalable infrastructure and driving automation? We are looking for a DevOps Engineer to join our high-performing DevOps team at Sigma Software. You will work alongside more than 30 talented specialists, applying industry best practices and modern methodologies to deliver top-quality solutions. At Sigma Software, we value innovation, professional growth, and collaboration. Joining us means access to diverse projects, cutting-edge technologies, and a supportive environment where you can take ownership and make a real impact. RESPONSIBILITIES Participate in environment and architecture planning Drive automation of CI/CD pipelines and other project processes Optimize existing environments and infrastructure structure Recommend new technologies and procedures to enhance service availability and management Troubleshoot production system and network issues related to performance and functionality Support and maintain existing environments Consult development teams on infrastructure-related questions REQUIREMENTS More than 3 years of hands-on experience as a DevOps Engineer At least 3 years of production experience with AWS AWS Professional-level certification (e.g., Solutions Architect — Professional and/or DevOps Engineer — Professional) Strong Linux administration and networking skills Strong scripting and coding skills with Bash, Python, and/or Go Experience with CI/CD tools At least 2 years of practical experience with Kubernetes Good understanding of relational and NoSQL databases Proven experience with configuration management tools and Infrastructure as Code Deep understanding of the observability stack At least an Upper-Intermediate level of English WILL BE A PLUS Hands-on experience with Azure and/or GCP Experience with GitOps and noOps approaches Expertise in OpenShift and AWS ECS Familiarity with serverless models Experience working on multiple projects simultaneously PERSONAL PROFILE Proactive, ownership-oriented mindset Strong problem-solving skills Ability to work collaboratively in large teams Comfortable working in a dynamic, fast-paced environment

🏢 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: Staff Software Engineer role focused on building and scaling LLM-based backend systems for insurance submission processing using AI and cloud technologies. The position involves owning end-to-end technical decisions, designing scalable architectures, and processing large volumes of unstructured data for high-stakes insurance workflows. The role offers significant ownership, competitive compensation, equity, and collaboration with a distributed engineering team. 🗂️ Requirements: 8+ years of software engineering experience, Strong system design, debugging, and problem-solving skills, Experience deploying LLMs in production at scale, Experience with AWS and serverless technologies, Experience with asynchronous workflows and cloud environments, Proficiency in Python or strong object-oriented programming background, Experience with relational databases, Ability to own projects end-to-end with minimal oversight, Strong proactive communication skills 📃 Skills: Python, AWS, Lambda, EC2, PostgreSQL, LLM, SQL, Serverless, Cloud, Backend, AI 🏢 Description: About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $100k – $185k USD* We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff engineer on the Submission Processing team, you’ll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team. You’ll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 8+ years of software engineering experience. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. Have worked with LLMs in production and understand what it takes to deploy them at scale. Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Know Python (our main stack), though we’re open to strong candidates from other OO backgrounds Are comfortable with relational databases, ideally PostgreSQL. Are excited by problems others are struggling with. Bonus: experience with document pipelines and processing large amounts of data What you’ll get: Competitive salary (based on experience level*). Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $7T global industry. 20 days of PTO a year. Global team offsites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, 2024 - Lisbon, 2025 - Cartagena) Healthy living/gym stipend. Mobile phone bill stipend. Continuing education credits. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Technical role supporting AI and DevOps platforms, focused on ensuring stability, reliability, and performance of critical services across the organization. The position involves incident management, platform resilience, automation, and observability in collaboration with SRE, engineering, and support teams. The engineer contributes to operational excellence, platform enhancements, and continuous improvement of cloud-native environments. 🗂️ Requirements: 6-8 years experience in technical support, platform operations, or engineering, Experience supporting IT services, infrastructure, or platform operations, Hands-on experience with incident management and root cause analysis, Experience with cloud-native platforms and container orchestration, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Knowledge of databases such as Postgres or MongoDB, Programming or scripting experience in Java, Python, or Go, Understanding of architecture concepts and system design, Experience with resilience testing and disaster recovery activities 📃 Skills: OpenShift, Kubernetes, ECS, CI/CD, Prometheus, Grafana, Splunk, Postgres, MongoDB, Java, Python, Go, AI, DevOps, SRE 🏢 Description: Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning. Responsibilities: Collaborative Application Support: Provides application support by partnering with vendors, offshore managed services, and internal development and engineering teams to ensure platform stability and operational readiness. Service Level Improvement: Actively supports efforts to improve service levels by participating in incident management, problem resolution (RCA), and knowledge-sharing initiatives. Platform Resilience and Testing: Assists in resilience-related activities, including incident simulations, disaster recovery exercises, and platform readiness testing to ensure business continuity. Automation and Efficiency: Supports automation efforts designed to reduce manual tasks, improve operational efficiency, and contribute to cost-saving initiatives. Monitoring and Observability: Helps maintain platform health by supporting observability practices, including monitoring, logging, tracing, and alerting for proactive issue identification. Platform Onboarding and Enhancement: Assists with application onboarding activities and contributes to platform enhancement initiatives in partnership with engineering and support leads. Data Collection for Planning: Helps collect and track capacity, performance, and latency data to support platform planning efforts and prepare materials for business review meetings. Troubleshooting and Incident Response: Maintains a practical understanding of platform components (like OpenShift, ECS, CI/CD) to effectively support troubleshooting and incident response activities. Qualifications: Experience: 6-8 years of relevant experience in technical support, platform operations, or engineering. Core Expertise: Demonstrated experience supporting IT services, platform operations, or infrastructure, with participation in resilience and stability-focused activities. Architectural Acumen: Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions. Collaboration and Communication: Strong communication skills and a proven ability to collaborate effectively with business partners, engineering teams, and other cross-functional stakeholders. Cloud-Native & DevOps Tooling (Preferred): Experience with Red Hat OpenShift/Kubernetes, CI/CD tools, and modern observability/monitoring tools (e.g., Prometheus, Grafana, Splunk). Database & Scripting Skills (Preferred): Experience with databases (e.g., Postgres, MongoDB) and scripting or coding abilities in languages like Java, Python, or Go. Organizational Skills: Strong organizational skills with the ability to manage a daily workload and effectively prioritize tasks. Generative AI Knowledge (Preferred): A working knowledge of Generative AI concepts. What we can offer you: By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include: Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program) Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates Employee Assistance Program financed by Employer Paid Parental Leave Program (maternity and paternity leave; statutory and 2 weeks additional paid paternity leave) Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events. Additional day off for volunteering Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform. Opportunity to receive an annual discretionary incentive award Special offers and discounts for employees Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. #LI-KK1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: 165 020,00 zł - 280 980,00 zł ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

🏢 Summary: Remote-first DevOps / Senior DevOps Engineer role focused on developing and optimizing CI/CD, containerization, and infrastructure for a business-critical CCaaS platform used by B2B clients. The position involves close collaboration with development teams, automation of infrastructure processes, and building monitoring and observability solutions. The role includes shaping container orchestration direction and supporting hybrid infrastructure environments. 🗂️ Requirements: Advanced experience with CI/CD (GitHub Actions, Jenkins, Ansible), Very good knowledge of Docker, Experience with application containerization, Experience with monitoring and observability tools, Experience working closely with development teams, Ability to independently lead technical and infrastructure initiatives, Linux administration skills 📃 Skills: GitHub, Actions, Jenkins, Ansible, Docker, Swarm, Kubernetes, Prometheus, ELK, Zabbix, Linux, PHP, .NET, Node, Python, PostgreSQL, Redis, Kafka 🏢 Description: Szukamy DevOps Engineera / Senior DevOps Engineera, który będzie pracował blisko zespołów developerskich oraz rozwijał obszar infrastruktury, automatyzacji i konteneryzacji. To rola dla osoby, która rozumie kod, proces developmentu i potrafi projektować rozwiązania infrastrukturalne razem z zespołami - nie tylko obsługiwać końcowy etap wdrożenia. Pracujemy przy platformie CCaaS wykorzystywanej przez dużą bazę klientów B2B. System jest krytyczny biznesowo dla naszych klientów, a obszary związane z AI są już aktywnie rozwijane jako istotna część naszej platformy produktowej. Czym będziesz się zajmować: Budowaniem i optymalizacją pipeline’ów CI/CD we współpracy z developerami. Wspieraniem zespołów SCRUM w obszarze release, deploymentu i infrastruktury. Udziałem w projektowaniu oraz wdrażaniu usług w środowiskach kontenerowych. Rozwijaniem konteneryzacji usług. Przygotowywaniem środowiska pod dalszą standaryzację i przyszłą orkiestrację kontenerów. Rozwojem monitoringu i observability. Automatyzacją procesów infrastrukturalnych. Udziałem w deployment governance i standaryzacji procesów release. Stack: CI/CD: GitHub Actions, Jenkins, Ansible Konteneryzacja: Docker, Docker Swarm Kierunek rozwoju: Kubernetes / orkiestracja kontenerów Monitoring: Prometheus, ELK, Zabbix Systemy: Linux Dodatkowo w środowisku aplikacyjnym: PHP, .NET, Node, Python, PostgreSQL, Redis, Kafka Czego oczekujemy: Zaawansowanego doświadczenia z CI/CD: GitHub Actions, Jenkins, Ansible. Bardzo dobrej znajomości Dockera. Doświadczenia w konteneryzacji aplikacji. Doświadczenia z monitoringiem i observability. Doświadczenia we współpracy z zespołami developerskimi. Samodzielności w prowadzeniu tematów technicznych i infrastrukturalnych. Mile widziane: Znajomość Kubernetes lub doświadczenie w przygotowywaniu środowisk pod orkiestrację kontenerów. Doświadczenie w migracji aplikacji z VM do kontenerów. Doświadczenie w porządkowaniu procesów release i deployment governance. RAG, bazy wektorowe, architektury oparte o LLM Jak pracujemy Pracujemy w modelu remote-first. Jeśli jesteś z Łodzi lub Poznania, możemy spotykać się na miejscu, ale nie jest to wymagane. Zespół DevOps liczy obecnie 6 osób. Infrastruktura działa w modelu hybrydowym. Szczegóły dotyczące architektury, skali środowiska i organizacji pracy omawiamy podczas rozmowy technicznej. Rola może obejmować dyżury on-call. Szczegóły dotyczące modelu dyżurów omawiamy podczas rozmowy rekrutacyjnej. Co oferujemy Pracę remote-first. Dostęp do narzędzi AI wspierających development i automatyzację, zgodnie z firmową polityką bezpieczeństwa. Benefity dofinansowanie opieki medycznej i karty sportowej Realny wpływ na CI/CD, konteneryzację, monitoring, standardy deploymentu, standardy pracy Pracę blisko zespołów developerskich oraz produktu krytycznego biznesowo dla klientów B2B.

🏢 Summary: Senior Backend Engineer role focused on transforming a mission-critical e-commerce domain supporting subscriptions and purchasing journeys for millions of users. The position centers on migrating a monolithic system to scalable microservices, improving performance and reliability, and shaping the future architecture of a global platform. Engineers will work with event-driven systems and modern AI tools while owning solutions end-to-end. 🗂️ Requirements: 5+ years of professional backend engineering experience, Strong experience designing and operating microservices architectures, Experience modernising legacy systems and decomposing monoliths, Solid understanding of distributed systems and scalable backend design, Commercial experience with Go, Java, Kotlin or Scala, Hands-on experience with Kafka or similar event-streaming technologies, Hands-on experience with PostgreSQL, Hands-on experience with Docker and Kubernetes, Experience with CI/CD pipelines, Practical experience using AI coding assistants (Claude Code, Cursor, Copilot or similar), Ability to review and validate AI-generated code, Comfortable owning solutions from idea to production 📃 Skills: Go, Golang, Java, Kotlin, Scala, Kafka, PostgreSQL, Docker, Kubernetes, CI/CD, GraphQL, DDD, TDD, BDD, Microservices 🏢 Description: Join a global e-commerce technology organisation serving millions of customers across multiple international markets. As a Senior Backend Engineer, you will become part of a team responsible for one of the company's most critical customer-facing domains. The platform supports customer subscriptions, plans, and purchasing journeys used daily by millions of users. This is not a maintenance role. The team is actively transforming a mission-critical domain, modernising legacy systems, reducing technical debt, and building the next generation of scalable services that will support future growth. You will play a key role in migrating core functionality from a monolithic architecture to modern microservices while helping shape the future architecture of a global platform. What You'll Do Build & Scale Core Services Design, develop, and maintain scalable backend services within a distributed microservices architecture. Build reliable systems supporting millions of customer interactions. Improve performance, reliability, and scalability across critical customer-facing services. Drive Modernisation Lead the migration of key business domains from monolithic systems to modern microservices. Reduce technical debt and improve long-term maintainability. Design solutions that support future platform growth. Shape Architecture Participate in architecture discussions and technical decision-making. Design orchestration layers supporting complex customer journeys and business processes. Help define engineering standards and best practices. Work with Event-Driven Systems Build and operate services powered by event-driven architectures. Work extensively with Kafka and real-time lifecycle events. Design resilient and observable distributed systems. Raise Engineering Standards Conduct code reviews and support other engineers through technical guidance. Promote best practices across software development, testing, deployment, and observability. Contribute to a strong culture of ownership and continuous improvement. AI-Powered Engineering Use modern AI tools and coding agents throughout the software development lifecycle. Leverage AI for onboarding, architecture exploration, implementation, testing, debugging, and productivity improvements. Apply engineering judgement to validate, verify, and safely integrate AI-generated outputs. What We're Looking For Backend Engineering Expertise 5+ years of professional backend engineering experience. Strong experience designing and operating microservices architectures. Experience modernising legacy systems and decomposing monoliths. Solid understanding of distributed systems and scalable backend design. Technical Stack Commercial experience with Go (Golang), Java, Kotlin or Scala Engineers coming from a JVM background should be open to working in a Go-driven environment. Hands-on experience with: Kafka or similar event-streaming technologies PostgreSQL Docker Kubernetes CI/CD pipelines Product & Ownership Mindset Comfortable owning solutions from idea through production. Strong problem-solving skills and ability to make technical trade-offs. Experience collaborating with product, business, and engineering stakeholders. AI Fluency Practical experience using AI coding assistants such as Claude Code, Cursor, Copilot, or similar tools. Understanding of how context, prompts, constraints, and validation influence AI-generated outputs. Ability to critically review and verify AI-generated solutions. Nice to Have Experience with subscription-based products. Experience in e-commerce environments. GraphQL knowledge. Familiarity with DDD, TDD, and BDD practices. What We Offer Opportunity to build systems used by millions of customers globally. High-impact engineering work with significant architectural ownership. International collaboration across distributed engineering teams. End-to-end ownership from idea to production. Hybrid working model (3 days per week in the Warsaw office). B2B cooperation model. 30 days of paid annual leave. Modern office located in Warsaw city centre. Continuous learning and professional growth opportunities.

🏢 Summary: The offer is for an experienced DevOps Engineer to design, build, and optimize scalable cloud-native infrastructure and CI/CD ecosystems for large-scale, globally distributed enterprise systems. The role focuses on automation, reliability, monitoring, and continuous delivery across modern cloud platforms. You will collaborate with engineering and operations teams to modernize and maintain highly available cloud environments. 🗂️ Requirements: 5+ years experience in DevOps or software engineering for scalable distributed systems, Strong experience with Google Cloud Platform (GCP), Strong experience with Microsoft Azure, Hands-on experience with AKS, VNET, Key Vault, Application Insights, Logic Apps, Storage Accounts, Function Apps, Experience with CI/CD tools such as GitHub Actions or Azure DevOps, Experience with infrastructure automation, Experience with monitoring and logging solutions, Experience working in Agile environments, Strong troubleshooting and problem-solving skills, Understanding of security and operational best practices 📃 Skills: GCP, Azure, AKS, VNET, KeyVault, ApplicationInsights, LogicApps, StorageAccounts, FunctionApps, GitHubActions, AzureDevOps, CI/CD, Kubernetes, IaC, Monitoring, Logging, Cloud, DevOps 🏢 Description: With over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow. We are looking for an experienced DevOps Engineer who is passionate about building scalable cloud infrastructure, automating delivery processes, and improving system reliability in large-scale enterprise environments. In this role, you will work closely with engineering and operations teams to design, maintain, and optimize modern cloud-native infrastructure and CI/CD ecosystems supporting globally distributed systems. Project Overview Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, the United Kingdom, and Canada. A Fortune 500 company and member of the S&P 500 Index, the client was founded in 1984 and employs approximately 10,000 coworkers worldwide. Together with Intellias, the client is building and modernizing enterprise-scale platforms and cloud infrastructure supporting highly available, globally distributed systems. Responsibilities Design, build, and maintain CI/CD pipelines and infrastructure supporting continuous integration, delivery, and deployment Collaborate closely with development and operations teams to ensure high-quality, reliable, and efficient software delivery Automate manual operational processes, including testing, deployments, monitoring, and infrastructure management Develop and maintain monitoring, logging, and alerting solutions to proactively identify and resolve production issues Troubleshoot complex production incidents, perform root cause analysis, and implement long-term remediation plans Manage and optimize cloud infrastructure resources to ensure scalability, reliability, performance, and cost-efficiency Implement security best practices and support compliance with industry standards and regulations Continuously improve platform stability, automation, and operational efficiency Stay up to date with emerging DevOps technologies and industry best practices Requirements 5+ years of hands-on experience in software engineering or DevOps for highly scalable, highly available, globally distributed systems Strong experience with cloud platforms, particularly Google Cloud Platform (GCP) and Microsoft Azure Hands-on experience with Azure services, including: AKS VNET Key Vault Application Insights Logic Apps Storage Accounts Function Apps Experience with DevOps and CI/CD tooling such as GitHub Actions, Azure DevOps, or similar platforms Strong understanding of infrastructure automation and cloud-native environments Experience with monitoring, logging, and observability solutions Proven track record of delivering solutions in Agile environments Strong troubleshooting and problem-solving skills Good understanding of security and operational best practices Nice to Have Experience with Infrastructure-as-Code tools Experience working with Kubernetes and containerized environments Exposure to enterprise-scale cloud modernization initiatives Knowledge of cost optimization and cloud governance practices Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school This is an exciting opportunity to join a large-scale international project and contribute to building modern, reliable, and scalable cloud infrastructure solutions.

🏢 Summary: Senior DevOps & Automation Engineer responsible for designing, building and maintaining automated, scalable Azure cloud environments. The role focuses on Infrastructure as Code, CI/CD, integrations, Power Platform automation, observability, security and cost optimization. You will shape standards and implement automation-first practices across cloud and digital platforms. 🗂️ Requirements: Higher education in relevant field, 3–5 years professional experience, Minimum 3+ years in Cloud / DevOps / Automation, Hands-on experience with Azure services (App Services, Functions, Logic Apps, Storage, SQL PaaS), Experience with CI/CD pipelines (Azure DevOps or GitHub), Experience with Infrastructure as Code (Terraform, Bicep or ARM), Scripting skills (PowerShell or Python), Experience with APIs and REST integrations, Knowledge of Power Platform (Power Automate, Power Apps, governance), Understanding of event-driven architecture, Experience with containers (AKS or Docker), Knowledge of Service Bus or Event Grid, Experience with RBAC, IAM and Conditional Access 📃 Skills: Azure, Terraform, Bicep, ARM, PowerShell, Python, CI/CD, AzureDevOps, GitHub, REST, API, PowerPlatform, PowerAutomate, PowerApps, PowerBI, AKS, Docker, ServiceBus, EventGrid, RBAC, IAM, ConditionalAccess, AzureMonitor, LogAnalytics, AppInsights 🏢 Description: Dołącz do nas jako Senior DevOps & Automation Engineer i pomóż nam budować nowoczesne, skalowalne i zautomatyzowane środowiska chmurowe! Twoją rolą będzie projektowanie, rozwój i utrzymanie procesów automatyzujących zarządzanie platformami cyfrowymi oraz środowiskiem Azure. Będziesz mieć realny wpływ na kształtowanie standardów, bezpieczeństwo i efektywność operacyjną – od IaC, przez DevOps, po Power Platform. Jeśli lubisz łączyć technologię z optymalizacją i skalowalnością – czekamy właśnie na Ciebie. Twój zakres obowiązków: Automatyzacja środowisk chmurowych: projektowanie i rozwój mechanizmów automatycznego provisioning’u zasobów w Azure (IaaS, PaaS, SaaS), budowa i utrzymanie Infrastructure as Code (Bicep / Terraform / ARM), automatyzacja konfiguracji i lifecycle usług (creation / change / decommission), tworzenie self-service’owych mechanizmów dla użytkowników i zespołów projektowych DevOps & Platform Engineering: rozwój i utrzymanie pipeline’ów CI/CD (Azure DevOps / GitHub Actions), budowa standardów deploymentowych dla aplikacji i usług, tworzenie „golden templates” i reusable komponentów platformowych, wspieranie zespołów deweloperskich w adopcji DevOps Integracje i automatyzacja procesów: projektowanie integracji między systemami (API, event-driven, webhooki), automatyzacja procesów biznesowych z użyciem Power Platform (Power Automate, Logic Apps), integracje między Azure, M365 / SharePoint / Teams, systemami zewnętrznymi Power Platform & Digital Platforms: zarządzanie środowiskiem Power Platform (governance, DLP, capacity), automatyzacja wdrożeń Power Apps / Power Automate, monitorowanie wykorzystania i optymalizacja kosztów Power Platform, definiowanie standardów wykorzystania low-code/no-code Monitoring & Observability: projektowanie i rozwój systemów monitoringu (Azure Monitor, Log Analytics, App Insights), wdrażanie podejścia Observability – metrics, logs, traces; budowa mechanizmów wykrywania anomalii (performance, cost, availability); automatyzacja reakcji na zdarzenia (alerts → actions) Governance, Security & Compliance (automation-first): automatyzacja polityk (Azure Policy, Defender, Conditional Access); wdrażanie modelu least privilege i automatyzacja PIM; automatyczne kontrolowanie zgodności środowisk (compliance checks); integracja security w pipeline’ach (DevSecOps) FinOps & Cost Optimization: budowa mechanizmów monitorowania kosztów; automatyzacja optymalizacji (rightsizing, scheduling, tagging); analiza wykorzystania usług PaaS/SaaS; tworzenie rekomendacji kosztowych Wsparcie architektów i rozwój standardów: implementacja standardów definiowanych przez architektów; udział w projektowaniu nowych rozwiązań (technical input); rozwój dokumentacji technicznej i wzorców wdrożeniowych Wykonywanie innych zadań zgodnie z poleceniem przełożonego Nasze oczekiwania: Wykształcenie wyższe kierunkowe 3–5 lat doświadczenia zawodowego, w tym min. 3+ lat w obszarze Cloud / DevOps / Automation Praktyczne doświadczenie w Azure (App Services, Functions, Logic Apps, Storage, SQL PaaS) Doświadczenie z CI/CD (Azure DevOps / GitHub) Znajomość narzędzi do automatyzacji: IaC (Terraform / Bicep / ARM) oraz PowerShell / Python / scripting Doświadczenie w pracy z API, integracjami i REST Znajomość Power Platform (Power Automate, Power Apps, governance), podstawy Data / BI (Power BI) Znajomość architektury event-driven Doświadczenie z kontenerami (AKS / Docker) Znajomość Service Bus / Event Grid Doświadczenie z RBAC / IAM / Conditional Access Umiejętność pracy w środowisku z naciskiem na automatyzację, bezpieczeństwo i optymalizację kosztów Umiejętność współpracy z zespołami technicznymi i biznesowymi oraz dostawcami technologii To oferujemy: Pracę hybrydową Prywatną opiekę medyczną Ubezpieczenie na życie Kartę Multisport Nowoczesną Platformę Benefitową Szkolenia i rozwój kompetencji zawodowych Kartę lunchową 400 PLN Paczki świąteczne dla dzieci Jeden dodatkowy dzień wolny Pracowniczy Program Emerytalny (PPE)