Top Software Engineer Jobs in Warsaw

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Design, develop, debug, and improve Elastic’s cloud control-plane foundations. Provide technical leadership, guide cross-team architecture, establish development best practices, and create reliable, scalable SaaS infrastructure. Collaborate globally with engineering and support teams to diagnose issues, plan technical direction, prioritize fixes and features, and advise on new product capabilities.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Leads performance engineering and automation for Akamai’s cloud compute infrastructure. Designs distributed testing and benchmarking frameworks, establishes performance standards, optimizes CI/CD pipelines, analyzes telemetry, resolves bottlenecks, and mentors engineers. The role requires expertise in Python, Linux, Bash, Jenkins, Git, automated testing, and performance validation across hardware and software platforms.

Develop scalable performance-testing frameworks and automated benchmarking suites for distributed cloud platforms. Design regression, load, stress, and performance tests; establish hardware validation standards and performance thresholds; monitor latency, throughput, SLAs, and infrastructure bottlenecks; and integrate testing and performance gates into Jenkins CI/CD pipelines. Collaborate with developers, SREs, and datacenter teams to improve test architecture, resolve performance issues, and deliver actionable insights from telemetry and data analysis.

Develop and maintain automated Python and Pytest test suites for backend services, REST APIs, CLI utilities, virtual machine lifecycle operations, live migrations, and KVM hypervisor upgrades. Integrate regression tests into CI/CD pipelines, investigate failures, identify root causes, and collaborate with developers on resolutions. The role also supports software platform maintenance and may involve frontend testing, Linux infrastructure, and configuration management tools.

Leads automated quality engineering for cloud infrastructure, including test framework architecture, CI/CD pipelines, regression and performance testing, hypervisor upgrade validation, API and CLI testing, database integrity checks, and resilience testing. Collaborates with software developers, SREs, and datacenter operations teams to improve quality, reliability, fault tolerance, and maintenance workflows across ARM and x86 compute environments.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Design, develop, test, document, and release React-based web applications for a CRM platform. Own complex UI features end to end, make front-end technical decisions, collaborate with product, design, QA, and engineering teams, maintain code quality and automated testing, mentor mid-level engineers, and improve performance, accessibility, and delivery practices through Agile, Lean, DevOps, and CI/CD methods.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Build and support enterprise software applications, SaaS integrations, and internal systems for HR, payroll, finance, and other teams. Develop full-stack solutions, service integrations, automated tests, and secure interfaces; contribute to architecture, cloud migration, CI/CD, system upgrades, and platform modernization. Collaborate with business stakeholders, DevOps teams, vendors, and technology groups to resolve operational issues and deliver resilient, scalable applications.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Senior software solutions engineer responsible for resolving complex Ethernet and InfiniBand adapter/DPU issues, developing tooling and features, collaborating with customers and engineering, and improving reliability and experience of NVIDIA networking products. Role mixes 50% customer support/issue ownership and 50% R&D.

Build and own Aura’s AI Intelligence Platform, creating scalable systems that unify sensitive data and enable secure, privacy-preserving AI agents. Design architecture, develop distributed systems, support production operations, and make technology decisions across AWS, Python, and TypeScript. Establish security, privacy, observability, testing, and reliability practices while mentoring engineers and influencing technical direction across teams.

Build and maintain backend services powering food search and logging. Tune Elasticsearch performance across indexing, query evaluation, relevance, cluster management, and monitoring. Develop search-quality metrics and experiments, evaluate data technologies, and collaborate with engineering and product teams. Write production Scala services while working with SQL and Python, large-scale data infrastructure, databases, Kafka, cloud platforms, and AI-powered development tools.

Define infrastructure and platform architecture across fintech engineering teams, including cloud topology, networking, deployment pipelines, observability, security, and infrastructure as code. Lead architecture decisions, technical standards, reliability practices, and cross-team adoption without direct authority. Own the infrastructure layer of an agentic engineering harness, including CI/CD, sandboxing, tool execution, and guardrails. Mentor engineers and contribute to platform and product strategy.

Define frontend technical direction for a fintech platform area across architecture, design systems, micro-frontends, state management, performance, rendering, and accessibility. Author ADRs and RFCs, evaluate technology trade-offs, evolve an AI-native engineering harness, and drive adoption of frontend standards across teams. Provide product strategy input and mentor Staff-track engineers. The role requires extensive frontend, fintech, cross-team architecture, technical leadership, and technical writing experience.

Develop and maintain backend software features within distributed microservice architectures. Participate in the full software development lifecycle, including design, coding, reviews, testing, performance improvement, observability, incident resolution, and postmortems. Collaborate with senior engineers, product management, and SRE/DevOps teams while using AI coding tools and continuously improving technical skills and code quality.

Design, build, and operate scalable Java services supporting real-time sports data and betting products. Own complex technical initiatives from architecture through production, contribute to AWS cloud-native systems, mentor engineers, improve testing and engineering practices, and influence technical direction across distributed teams.

Build, test, deploy, and maintain high-performance Java services processing millions of real-time sports events. Collaborate on distributed systems, AWS cloud-native solutions, architecture, peer reviews, TDD, and production operations. Work closely with senior engineers through pair programming and collaborative problem-solving while developing ownership of features and services.

Design, build, and operate scalable Java services for real-time sports data and betting systems. Own complex initiatives from architecture through production, contribute to AWS cloud-native systems, mentor engineers, improve testing and engineering practices, and influence technical direction. The role involves distributed systems, 24/7 mission-critical operations, code reviews, stakeholder collaboration, and production support at global scale.