{"id":4234339,"url":"https://alion.io/job/xebia-aws-platform-engineer","title":"AWS Platform Engineer","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":61,"open_postings":40,"ghost_share":0.65,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-11-12T10:38:37Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Lacework","optional":false},{"name":"Orca Security","optional":false},{"name":"OWASP ZAP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pylint","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"tfsec","optional":false},{"name":"Trivy","optional":false}],"status":"live","first_seen_at":"2026-11-13T09:57:14Z","employer_posted_date":null,"last_verified_at":"2026-11-13T09:57:14Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 17 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.\n\nWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.\n\nIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as ING, Millenium Bank, Play, Wavin, Arabian Drilling, FedEX, Leroy Merlin, Edenred, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.\n\nYou will be:\n\nleading the DevOps/Platform Engineering team, coordinating technical delivery, mentoring team members, and supporting their development,\n\ndesigning, building, and maintaining a shared AWS platform across multiple accounts, regions, teams, and environments,\n\ndriving the development and continuous improvement of container orchestration and CI/CD platforms,\n\nestablishing standardized infrastructure provisioning, deployment strategies, and reusable engineering solutions,\n\noverseeing cloud infrastructure architecture, networking, security, and cross-account connectivity,\n\ndriving infrastructure modernization, security improvements, and compliance initiatives,\n\ncollaborating with architects and engineering teams on technical decisions, PoCs, migrations, and platform evolution,\n\npromoting engineering standards, cost optimization, knowledge sharing, and best practices across teams.\n\nYour profile:\n\nextensive hands-on experience with AWS cloud infrastructure and platform engineering,\n\npractical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,\n\nstrong experience designing and operating multi-account and multi-region AWS environments,\n\ndeep practical knowledge of Amazon EKS, Kubernetes, Amazon ECS, Fargate, Lambda, EC2, ECR, VPC, ALB, CloudWatch, EventBridge, and DynamoDB,\n\nstrong experience with Terraform, including developing reusable modules and standardized Infrastructure as Code solutions,\n\nproficiency in GitLab CI/CD, GitLab Runners, Kubernetes executors, and reusable pipeline libraries,\n\nexperience designing and maintaining containerized CI/CD execution environments,\n\nunderstand advanced deployment strategies, including blue/green deployments, canary releases, and automated production rollouts,\n\nstrong knowledge of AWS networking, VPC architecture, cross-account connectivity, service-to-service communication, TLS/mTLS, and proxy solutions,\n\nexperience with Python, Bash, AWS CLI, and infrastructure automation,\n\nunderstand DevSecOps practices and have experience integrating security and quality controls into CI/CD pipelines,\n\nfamiliarity with infrastructure and container security tools such as tfsec, Trivy, Lacework, Orca Security, and OWASP ZAP,\n\nunderstand PCI compliance requirements, security-by-design principles, and infrastructure governance,\n\nexperience with automated testing and code quality tools such as Pytest, Behave, Hadolint, and Pylint,\n\nunderstand cloud architecture, microservices, shared platform services, and infrastructure modernization,\n\nexperience with architecture documentation, ADRs, PoCs, technical evaluations, and migration planning,\n\nunderstand FinOps principles and have experience with AWS cost analysis, resource optimization, and rightsizing,\n\nproven experience leading or mentoring technical teams, coordinating delivery, and supporting team development,\n\ncommunicate effectively with architects, product owners, delivery managers, and engineering teams,\n\nfamiliarity with Agile/Scrum methodologies and can promote consistent engineering practices across teams,\n\nwork from the European Union region and a work permit are required.\n\nNice to have:\n\nexperience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,\n\ninterest 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.\n\nRecruitment Process:\n\nCV review – HR call – Interview – Client Interview – 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