Site Reliability Engineer

We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to collaborate with software development and operations teams to ensure the reliability, scalability, and efficiency of systems. The role focuses on deploying, maintaining, and automating infrastructure and application environments, enhancing reliability, optimizing resource utilization, and continuously improving operational practices.

You will lead the adoption of AI-enabled platform capabilities, including generative AI (GenAI), autonomous agents, and AIOps. Responsibilities include defining and tracking Service Level Objectives (SLOs), managing error budgets, reducing toil through automation, and helping technology initiatives meet high customer standards.

Quick Facts

• Hybrid-by-design work mode and remote-work opportunity within Poland
• Opportunity to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Open to working with contractors; B2B cooperation terms are agreed individually

Responsibilities

• Collaborate with development, security, quality, and operations teams to implement SRE practices and ensure system reliability
• Define and support the required reliability, availability, and performance levels for services and applications
• Design and deliver cloud-based solutions tailored to client needs
• Troubleshoot, mitigate, and support timely resolution of infrastructure and application issues
• Implement monitoring for infrastructure and application reliability
• Guide adoption of AI technologies on the platform, including GenAI, AI agents, and AIOps, to improve operations
• Communicate technical concepts clearly to engineering teams and management stakeholders

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years of hands-on experience in Site Reliability Engineering or related roles
• Experience with at least one cloud platform: AWS, GCP, or Azure
• Experience implementing SRE practices, including SLO/SLI, error budgets, postmortems, toil reduction, capacity planning, and incident management
• Python or another scripting/programming language
• Strong monitoring-tools background
• Proficiency with CI/CD tools, infrastructure as code, and configuration management
• Solid knowledge of container orchestration technologies, including Kubernetes and Docker
• Upper-Intermediate English proficiency (B2) or higher

Nice to Have

• Kubernetes, AWS, GCP, Azure, or similar technology certifications
• DevOps experience
• Expertise in deploying and managing LLMs, including RAG technologies
• Knowledge of managing and optimizing AI/ML models in production, including deployment, monitoring, and maintenance
• Experience with native AI cloud services: AWS Bedrock, Google Vertex AI, and Azure AI
• Experience designing, building, and operating AI agents and agentic frameworks
• Experience with coding agents: Claude Code, OpenCode, Cursor, Trae, and Antigravity

Benefits

• Career development programs
• Thought leadership, mentoring, soft-skills, and well-being programs
• Certification opportunities in Anthropic, Gemini, GCP, Azure, and AWS
• English classes
• Stable pay
• Employee Stock Purchase Plan participation with a 15% discount
• Benefits package, including health insurance, multisport, and shopping vouchers
• Referral bonuses up to $2,000
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee
• Corporate, social, and well-being events

Benefits listed above are available to employees only. Only selected candidates will be contacted.