{"id":3154062,"url":"https://alion.io/job/inmobi-devops-engineer","title":"DevOps Engineer","company":{"id":1289,"name":"InMobi","domain":"inmobi.com","url":"https://alion.io/company/inmobi","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":27,"ghost_share":0,"stale_share":0.296,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"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":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Skaffold","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-23T13:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-23T13:35:30Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Responsibilities: \nDebugging/Troubleshooting and fixing issues in the production environment by working with all stakeholders.\nDemonstrates the ability to multi-task and re-prioritize responsibilities based on changing requirements.\nProvide functional, design, and code reviews in related areas of expertise within the team and across teams.\nEstimates efforts, identifies risks, devises, and meets project schedules.\nRises above detail to see broader issues and implications for the whole product/team.\n\nRequirements: \n6-10 years of experience.\nStrong scripting skills in Python, Shell etc.\nExperience in cloud (Azure/AWS/GCP), the Kubernetes ecosystem, continuous integration and delivery (CI/CD), infrastructure automation, automation and scripting, networking, Linux containers, and cluster management.\nExpertise in Architecting and Implementing Azure service offerings, such as Azure VMs, Virtual Machine Scale Sets (VMSS), Azure Load Balancers, SQL Database, Cosmos DB, Azure Functions, Azure Virtual Networks (VNets), Subnets, Azure network settings, DNS settings, security policies, Routing, Azure storage, Azure Active Directory (AD), etc.\nExperience with high-throughput microservices.\nExpertise in Kubernetes to deploy, scale, load balance, and manage Docker containers.\nWorking knowledge of build automation and building CI/CD pipelines in Kubernetes.\nStrong experience in the Kubernetes ecosystem: Helm, Skaffold.\nExpertise in Infrastructure as Code (IaC), e. g., Terraform.\nExpertise in configuring the monitoring and alerting tools like Prometheus/Grafana, dashboarding, alerts setup, etc.\nChampion of automation. Must be doing automation daily from dev to deploy. To remove any need for manual intervention and debugging in the system.\nUnderstanding of observability and traceability.\nTo work in scrums/sprints with engineering teams on a daily basis.\nStrong computer fundamentals and problem-solving skills.\nMust be a proven performer and team player that enjoys challenging assignments in a high-energy, fast-growing, start-up workplace.\nProvide good attention to details.\nMust be excited by challenges surrounding the development of a highly scalable and distributed system for building audience targeting capabilities.\nAgility and ability to adapt quickly to changing requirements and scope and priorities. 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