Top Software Engineer Jobs in Poland

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

Design and maintain backend services and data pipelines, develop front-end features, optimize solutions, and collaborate with teams to drive impactful features.

Lead and execute manual, exploratory and automated tests across projects. Create test cases, perform API and UX testing, develop automation, maintain test environments, document results, verify fixes, and collaborate with product teams to improve release quality.

The R&D Senior Software Developer will lead a small team, developing innovative software solutions for power grids while ensuring code quality, security, and participating in agile practices.

The Senior Software Engineer will design and maintain backend functionality using APL and C#/.NET, contributing to code quality, performance, reliability, and stakeholder collaboration.

Join a scrum team to design, develop, test, and support enterprise post-trade financial products. Write C# code, learn and work with APL, create automated (E2E/API/UT) tests, collaborate with product and technical leads, support legacy systems, and improve automation and processes as a full‑stack developer (SOA).

Owns Redpanda Cloud’s usage-based billing and payment services end to end, including Metronome metering, Stripe credit-card management, invoicing, reconciliation, and auditability. The role involves designing, building, operating, and evolving distributed systems; partnering with finance, product, customer success, and engineering; maintaining secure customer-facing UIs; and participating in on-call support.

Design, build, and operate Redpanda’s Agentic Data Plane and cloud services across AWS, Azure, and GCP. Lead architecture and technical projects, develop scalable and reliable systems, automate infrastructure provisioning and self-healing, and ensure resilience, observability, security, and zero-downtime upgrades. Participate in on-call escalation, collaborate across engineering and customer-facing teams, and help achieve a 99.99% SLA.

Lead technical direction for Redpanda Cloud customer-facing systems covering authentication, account management, usage-based billing, payments, and cloud marketplaces. Own architecture for reliable, auditable billing and payment flows across AWS, GCP, and Azure. Drive technical roadmaps, stabilize inherited systems, mitigate risk, improve reliability and security, mentor engineers, and participate in on-call operations.

Lead the design, development, operation, and support of Splunk’s UEBA product. Build scalable Python and React applications, guide architecture, resolve customer issues, participate in on-call operations, integrate technologies, and mentor junior engineers. Collaborate with product, design, customers, and engineering teams while applying cloud, DevOps, data-storage, monitoring, and AI development practices.

Lead the technical direction and hands-on development of Coder’s agentic engineering systems. Build production software in Go, with React and TypeScript as needed, and evolve agent execution, tool use, context management, streaming, and long-running workflows. Make architectural decisions, lead complex projects, improve reliability and performance, collaborate with Product and Design, and mentor engineers. The role requires distributed systems expertise, LLM and agentic workflow experience, and familiarity with AWS and cloud-native infrastructure.

Design, build, and deploy cloud-native, distributed data platform components for LSEG's DaaS initiative. Develop APIs, CI/CD pipelines, and infrastructure automation using modern cloud tools to support high-scale production environments and future AI-driven capabilities.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Lead development in an agile team for SimCorp Dimension’s Portfolio Analytics product. Responsibilities include refining client requirements, designing and implementing scalable backend services and APIs, testing solutions, supporting the product, and improving engineering practices, performance, maintainability, CI/CD, telemetry, and cloud readiness. The role also involves developing product expertise, collaborating internationally, experimenting with technologies, and applying AI to practical engineering tasks.

Develop, test, deploy, and operate backend services for authentication, authorization, and identity management. Work across the full SDLC, maintain reliability and scalability, collaborate with product/architecture/SRE teams, and use automated tests, CI/CD pipelines, and cloud-native tooling to deliver secure identity solutions.

Design, own, scale, and iterate data processing pipelines for Mapbox Roads. Implement new pipelines, monitor performance metrics, and enforce security best practices. Collaborate in a cross-functional team to build navigation and high-definition mapping features.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Own and improve the durable execution engine for AI agents: runtime, scheduling, checkpointing, resumption, and recovery. Ensure correctness, reliability, and scalability under load; enable integrations with orchestration frameworks, agent harnesses, and model capabilities.

Lead design and implementation of enterprise identity and access: SSO (OIDC/SAML), RBAC with query-time enforcement, SCIM provisioning, token exchange/on-behalf-of flows, service accounts, entitlements, session and token governance to enable secure, auditable access at scale.

The Senior Software Engineer will enhance business processes through AI, focusing on intelligent data handling and automated decision-making in a hybrid work environment.

Design, build, and scale production AI agents and backend services for conversational reasoning, retrieval, tool-calling, and workflow automation. Integrate GDS/APIs, own architecture for distributed AI systems, improve model performance, observability, and evaluation, and define engineering best practices.

Lead architectural and code-level performance engineering for Elasticsearch, from design through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks and regression detection, and automate profiling and optimization with AI-assisted tooling. Collaborate across teams, embed performance practices into product development, and mentor engineers. The role requires deep Java and JVM expertise, concurrency knowledge, distributed systems experience, and proficiency with performance benchmarking and optimization.

Develop embedded software functionality for ARM-based 5G mmWave radio units. Responsibilities include system architecture, software and Linux distribution testing, troubleshooting, debugging, standards compliance, system integration, and collaboration with engineers and project managers. The role requires Python and embedded development experience; C/C++, Xilinx SoCs, bare-metal programming, CI/CD, Git, Linux build systems, kernel drivers, and LTE/5G knowledge are preferred.

Design and implement embedded software components, code, debug, test, document, and maintain firmware and hardware integrations. Support cloud connectivity and FOTA solutions, assist test and support teams, participate in planning and customer meetings, follow engineering best practices, report progress, identify process improvements, and escalate technical issues to leads.

Design, build, and operate scalable developer-facing testing infrastructure and tooling: distributed test execution, telemetry, flaky-test detection/self-heal, synthetic test data, GenAI-assisted diagnosis, and integrations with CI/CD and tracing systems to improve pre-production feedback and developer productivity.