
Technology Jobs in Warsaw

Frequently Asked Questions..
Senior Software Engineers in Warsaw earn 25,000–38,000 PLN gross on a UoP contract in 2026, rising to 45,000 PLN at top firms including Google and Goldman Sachs for AI/ML Engineering and Cloud Security Architecture roles. SGI provides real-time salary benchmarking to help you negotiate or offer market-leading rates.
B2B contracts are the standard for 2026's top-tier contractors, offering 15–20% higher take-home pay through tax-efficient structures like Ryczałt. UoP (Employment Contract) is the preferred choice for those requiring 100% job security, paid leave, and full social security benefits. The right choice depends on your seniority and risk tolerance. SGI's Warsaw consultants help both employers and candidates navigate these legal structures to find the most compliant and profitable fit.
Warsaw has a critical talent gap in three areas where demand far outstrips supply: Generative AI & MLOps, Cloud Security, and Data Engineering. • Generative AI & MLOps engineers with skills in LangChain, Hugging Face, and Kubeflow. • Cloud Security architects holding CISSP/CCSP with hands-on Azure or GCP security experience. • Data Engineers with PySpark, Snowflake, and dbt expertise. SGI specialises in these niche verticals, connecting passive talent with organisations that need high-complexity problem solvers.
SGI operates as a strategic Source-to-Scale partner, delivering Market Mapping, Competitor Intelligence, and Employer Branding strategies, not just CVs. For firms new to the Polish market, SGI advises on Boots-on-the-Ground requirements to compete with hyperscalers and build a high-retention engineering culture.
Warsaw fully supports English-speaking candidates relocating to Poland - the majority of international firms, including Samsung R&D and Microsoft Development Center, operate entirely in English. SGI targets roles that offer visa sponsorship and relocation packages, ensuring international specialists transition smoothly into Poland's tech ecosystem.
SGI's specialised vetting process screens candidates for both technical depth, including specific experience in LLM fine-tuning or Kubernetes orchestration and cultural alignment. This delivers a high-quality shortlist within 48–72 hours, significantly faster than generalist recruitment agencies.