[Hiring] Senior AWS DevSecOps @Poland and Eastern Europe

Role Description

You will be:

• designing and implementing scalable AWS infrastructure across multi-account environments,
• building and maintaining reusable Infrastructure as Code (Terraform) modules and platform components,
• implementing automation across provisioning, deployment, and governance workflows,
• embedding security, compliance, and operational controls into CI/CD pipelines using policy-as-code,
• improving platform reliability through observability, monitoring, and incident response practices,
• collaborating with platform, security, and application teams to deliver and adopt platform capabilities.

Qualifications

• 8+ years of experience in cloud, infrastructure, or platform engineering roles,
• strong hands-on experience designing and operating AWS environments at scale (multi-account),
• proven expertise in Infrastructure as Code such as Terraform,
• experience implementing CI/CD pipelines and embedding DevSecOps practices,
• strong knowledge of AWS core domains - networking, IAM, container platforms (e.g. EKS), and security principles,
• experience improving platform reliability through observability, monitoring, and incident management,
• familiarity with least-privilege IAM strategies, and secure-by-design cloud architecture,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Requirements

• Work from the European Union region and a work permit are required.

Benefits

• AWS certifications (e.g. Solutions Architect – Professional, DevOps Engineer – Professional) are nice to have,
• experience implementing AWS landing zones and Control Tower at scale,
• familiarity with policy-as-code and automated compliance controls,
• experience working in large-scale, distributed enterprise environments,
• exposure to FinOps practices and cloud cost optimization strategies,
• experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
• interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process

• CV review
• HR call
• Interview
• Client Interview
• Decision