{"id":3682907,"url":"https://alion.io/job/geeksoft-consulting-senior-aws-devops-engineer","title":"Senior AWS DevOps Engineer","company":{"id":20414,"name":"GeekSoft Consulting","domain":"geeksoftconsulting.com","url":"https://alion.io/company/geeksoft-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-03T13:44:59Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T10:28:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.Requirements Experienced Senior AWS DevOps Engineer to design, build, and manage secure, scalable, and highly available cloud infrastructure. Drive automation, optimize CI/CD pipelines, and collaborate with engineering teams to ensure reliable deployments and optimal platform performance. Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform or CloudFormation), and CI/CD pipeline implementation. Expertise in Docker, Kubernetes, infrastructure monitoring, and cloud security. Proficiency in Python or Bash scripting, with strong troubleshooting and problem-solving skills. Ability to take ownership of technical decisions, drive engineering best practices, and mentor team members. Exposure to AI/ML workloads, MLOps pipelines, and AWS AI services such as Amazon SageMaker and Bedrock is preferred.\nBenefits A challenging, innovating environment. 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