{"id":3286679,"url":"https://alion.io/job/avenga-senior-devopsplatform-engineer","title":"Senior DevOps/Platform Engineer","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":76,"open_postings":25,"ghost_share":0,"stale_share":0.96,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-01T06:10:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":87000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-26T13:35:25Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-01T14:56:06Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. \nAt the core of the role\nWe’re looking for an experienced DevOps Engineer with a strong interest in AI-driven automation to help modernize cloud infrastructure and software delivery. The role combines hands-on experience with AWS, GCP, Azure, CI/CD pipelines, and infrastructure automation with the use of AI tools, autonomous agents, and Model Context Protocol (MCP) to optimize DevOps workflows.\nYou’ll play a key role in integrating AI into engineering processes, building smarter automation solutions, and improving delivery efficiency and engineering productivity.\nCore skills you’ll bring\n5+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or a related field.\n\nStrong experience designing, implementing, and maintaining CI/CD pipelines, particularly with GitLab CI/CD, including automated testing, build processes, deployments, release management, and rollback strategies.\n\nHands-on experience with AWS, Google Cloud Platform (GCP), and Microsoft Azure, including cloud infrastructure management and migrating applications, workloads, and services between platforms with minimal downtime.\n\nExperience with Docker, Kubernetes, and container orchestration, including deployment management, scaling, service discovery, configuration, and workload reliability.\n\nProficiency with tools such as Terraform or OpenTofu, alongside scripting languages such as Python or Bash, to automate infrastructure provisioning, configuration, and lifecycle management.\n\nExperience integrating automation workflows with APIs, development platforms, and cloud services.\n\nActive use of AI tools, autonomous agents, and Model Context Protocol (MCP).\n\nStrong understanding of cloud security, identity and access management, secrets management, monitoring, logging, alerting, vulnerability scanning, and incident troubleshooting.\n\nExperience building reusable CI/CD templates, self-service deployment workflows, standardized environments, and internal developer tooling to improve engineering productivity and delivery efficiency.\n\nThe impact you'll create\nBuild and maintain CI/CD pipelines using GitLab.\n\nManage AWS, GCP, and Azure infrastructure and migrations.\n\nDeploy and scale containerized workloads using Docker and Kubernetes.\n\nAutomate infrastructure using Terraform/OpenTofu, Python, and Bash.\n\nIntegrate APIs, cloud services, and development platforms.\n\nApply AI tools, autonomous agents, and MCP to DevOps workflows.\n\nImplement cloud security, access controls, and secrets management.\n\nMaintain monitoring, logging, alerting, and incident response.\n\nDevelop reusable CI/CD templates and self-service deployment workflows.\n\nBuild internal developer tools to improve engineering productivity.\n\n What supports your journey\nPeople are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. 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