Top Software Engineer Jobs in Krakow

Build and own React Native features for Kraken’s consumer mobile app, from product discovery through launch, measurement, and iteration. Partner with Product and Design to create responsive, trustworthy financial experiences using dynamic or real-time data. Guide development for a new Asian-market app, including regional UX, connectivity restrictions, vendors, and telemetry. Contribute to architecture, performance, reliability, code reviews, and product engineering standards.

Own the roadmap and technical vision for CI/CD and release infrastructure. Identify and remediate pipeline bottlenecks and supply-chain security risks, design scalable release gates, direct engineers through complex projects, lead incident response, and establish engineering standards through mentorship, reviews, documentation, and technical alignment.

Develop and maintain automation frameworks, tools, workflows, and test environments for end-to-end testing and benchmarking of distributed cloud systems. Design release qualification tests, operate highly distributed systems, and collaborate with engineering and support teams to ensure resilient, scalable, high-performing software releases.

Build and maintain reliable, scalable software systems for Housecall Pro’s platform organization. Own features from design through deployment, troubleshoot complex issues, participate in architecture and code reviews, collaborate with cross-functional teams, establish engineering best practices, mentor junior engineers, and apply AI tools to improve productivity and system quality. The role supports either Identity and Access Management or API development, with Ruby as the primary technology.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Develop and maintain Avid’s media solutions through hands-on software engineering. Responsibilities include translating requirements into designs, implementing and testing complex systems, debugging virtualized environments, and resolving data integrity, performance, scalability, and stability issues. The role requires collaboration with distributed global teams, backend services, web applications, and message-oriented systems. The engineer will also coordinate deliverables, analyze end-to-end workflows, and contribute to technical solutions across the product.

Develop and maintain Java backend services, REST APIs, microservices, cloud-native components, event-driven systems, and database integrations. Write automated tests, troubleshoot production issues, participate in code reviews, and collaborate with QA, Product, Architecture, SRE, and Delivery teams. The role works under senior guidance on defined assignments while progressively expanding platform and domain ownership.

Develop and maintain Python-based Splunk services and add-ons for large-scale, real-time data ingestion and processing. Participate in requirements, design, development, testing, automation, deployment, code reviews, troubleshooting, and on-call support. Build cloud-based backend solutions using AWS, Azure, or GCP, with LLMs, Generative AI, agentic architecture, and RAG. Improve system reliability, diagnose production issues, and create maintainable, documented software.

Develop and maintain React.js user interfaces, reusable components, and front-end libraries. Optimize application performance across browsers and devices, translate designs into code, collaborate with product and backend teams, write tests, debug production issues, and maintain modern React development practices and tools.

Own the architecture and delivery of customer-facing Rust backend services for trading, payments, and crypto experiences. Lead ambiguous, cross-team initiatives from concept through launch, shape product roadmaps, mentor engineers, review designs, and establish engineering standards. The role requires deep expertise in asynchronous Rust, distributed systems, RPC, Kafka, and event-driven architectures, plus an AI-first development approach and strong product engineering mindset.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Build performance models, benchmarks, profiling tools, and regression detection for logging, metrics, vector search, and ES|QL. Analyze bottlenecks, implement Java and JVM-level optimizations, and contribute to AI-assisted benchmarking automation. Collaborate across teams, provide technical guidance, conduct peer reviews, and improve the scalability, predictability, and efficiency of Elasticsearch.

The Infrastructure Software Engineer will build and optimize systems managing vast data, collaborate with teams for reliability, and handle operational issues.

Join the Collections backend team to design, build, and maintain scalable, highly available systems that manage delinquent loans and recovery strategies. Collaborate with product, risk, and engineering teams to implement reliable, well-tested backend solutions, debug large codebases, and contribute to team growth and operational excellence.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Own the search infrastructure for an LLM-powered financial intelligence platform. Build hybrid keyword and vector search, tune relevance, integrate OpenAI embeddings with Elasticsearch, optimize query performance and indexing, and develop asynchronous Python services using FastAPI. The role also involves RAG pipeline development, search-quality evaluation, and designing efficient document schemas for retrieval.

Develop and enhance MetaMask social and multi-chain experiences across Portfolio, browser extension, and mobile platforms. Collaborate across teams on complex projects, mentor engineers, and build scalable full-stack applications using React, React Native, modern JavaScript, blockchain technologies, APIs, testing, and continuous integration. Ensure cross-platform compatibility and apply web security best practices.

Develop and maintain high-performance maritime software using .NET, Python, cloud technologies, and modern architectural patterns. Design, test, debug, document, and optimize applications while delivering new features and supporting existing systems. Collaborate with product owners, project leaders, designers, and engineers to translate requirements into technical solutions. Implement unit and functional tests, participate in code reviews, troubleshoot user issues, and continuously improve system reliability, performance, and code quality.

Designs and develops backend services for Elastic’s Streams data pipeline, Logstash, and the OpenTelemetry Collector. Responsibilities include solving distributed systems problems, maintaining test coverage, reviewing code, collaborating across teams, supporting enterprise customers, and participating in on-call rotations. The role requires expertise in Java, Golang, or Ruby and includes work in observability, streaming, open source, and cloud-native technologies.

Architect and develop resilient, high-scale distributed platform systems across AWS, GCP, Azure, and on-premises environments. Lead technical design decisions, reliability engineering, observability, incident response, and recovery practices. Build Kubernetes-native software, improve system performance, and establish service health standards. Translate roadmaps into technical designs and milestones, lead design reviews, and mentor engineers while collaborating across teams in an agile environment.

Develop platform software for high-performance networking hardware. Responsibilities include Linux kernel and user-space code, IOMMU and ASIC integration, hardware register access, configuration management services, routing protocol agents in C/C++, and automated Python-based testing. Interns receive mentorship, technical training, hackathon opportunities, and may receive a full-time offer after graduation.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Design, develop, maintain, and deploy Java backend applications and microservices. Build scalable features, improve performance, security, and reliability, troubleshoot issues, participate in code reviews, document systems, and collaborate with cross-functional teams. The role also involves supporting continuous improvement and knowledge sharing in Agile/Scrum environments.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

Build and maintain production systems for AI music products, including backend services, APIs, workers, media pipelines, model inference infrastructure, queues, scheduling, storage, and observability. The role requires debugging across software and infrastructure boundaries, optimizing distributed systems, and owning technical projects end-to-end. Relevant experience includes media processing, ML infrastructure, cloud platforms, Kubernetes, Docker, Terraform, and large-scale data pipelines.

Build and operate the inference API platform powering AI services at global scale. Own distributed systems, datastores, observability, analytics, billing, usage metering, role-based controls, and CI/CD. Diagnose performance issues using query profiling and flame graphs, optimize reliability and latency, and deliver features end-to-end from design through production rollout. Collaborate directly with product and engineering teams in a fast-paced, ambiguous startup environment.