{"id":3605352,"url":"https://alion.io/job/weekday-lead-devops-engineer-4","title":"Lead DevOps Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":93,"ghost_share":0,"stale_share":0.978,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-06T05:58:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1500000,"max":3000000,"currency":"INR","period":"year","gross":null,"usd_annual":31746},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenShift","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"AIOps","optional":true},{"name":"FinOps","optional":true},{"name":"GCP","optional":true}],"status":"closed","first_seen_at":"2026-11-02T11:34:57Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T16:44:12Z","board_verified":false,"closed_at":"2026-11-05T16:44:12Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 1500000 - Rs 3000000 (ie INR 15 - 30 LPA)\nMin Experience: 7+ years\nLocation: Bengaluru, Karnataka, India\nJobType: full-time\nWe are looking for an experienced Lead DevOps Engineer with strong expertise in cloud infrastructure, automation, CI/CD, containerization, and Site Reliability Engineering (SRE). The ideal candidate will have deep, hands-on experience designing and managing large-scale cloud environments, building robust deployment pipelines, strengthening security practices, and ensuring the reliability and scalability of production systems.\nThe candidate should demonstrate strong scripting capabilities, infrastructure-as-code expertise, and the ability to lead technical initiatives while mentoring engineers and collaborating across teams.\nRequirements\nKey Responsibilities\nDesign, implement, and manage scalable, secure, and highly available cloud infrastructure across AWS and other cloud platforms.\nDevelop automation scripts using Python and/or Bash to streamline infrastructure operations and deployment workflows.\nBuild and maintain Infrastructure as Code (IaC) solutions using Terraform and/or Ansible.\nDesign, implement, and govern Jenkins CI/CD pipelines, ensuring efficient build, testing, integration, and deployment processes.\nManage production environments using Docker, Kubernetes, and OpenShift.\nEstablish and improve observability frameworks, monitoring systems, and SRE practices to ensure platform reliability and performance.\nOwn and strengthen cloud security posture, particularly across AWS infrastructure.\nManage advanced cloud networking components, including routing, Transit Gateways, Site-to-Site VPNs, and Client VPNs.\nCollaborate with data and analytics teams to support platforms and tools such as Lakehouse, Data Warehouses, Databricks, Amazon QuickSight, and Power BI.\nDrive technical decision-making, mentor team members, and coordinate with cross-functional teams to deliver infrastructure initiatives.\nIdentify opportunities to improve infrastructure efficiency, scalability, security, and operational performance.\nRequired Skills and Expertise\nStrong scripting experience in Python and/or Bash.\nDeep, architecture-level, hands-on expertise in AWS, with experience in Azure or other cloud platforms.\nStrong understanding of multi-cloud architecture and infrastructure management.\nExpertise in Infrastructure as Code using Terraform and/or Ansible.\nProven experience designing and governing Jenkins CI/CD pipelines.\nStrong knowledge of Git and version control practices.\nProduction-level experience managing Docker, Kubernetes, and OpenShift environments.\nHands-on experience with observability frameworks, monitoring, and SRE practices.\nStrong understanding of AWS security posture management and cloud security best practices.\nKnowledge of advanced cloud networking, including routing, Transit Gateways, Site-to-Site VPN, and Client VPN.\nFamiliarity with Lakehouse architecture, Data Warehousing, Databricks, QuickSight, and Power BI.\nStrong leadership, mentoring, problem-solving, and cross-team collaboration skills.\nPreferred Skills\nExperience implementing and managing AIOps solutions at scale.\nDeep multi-cloud expertise across AWS, Azure, and GCP.\nExperience managing FinOps practices and cloud cost optimization at an organizational scale.\nExposure to large-scale cloud infrastructure and enterprise DevOps environments.\nMust-Have Skills\nPython\nBash\nAWS\nGood-to-Have Skills\nFinOps\nAWS 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