{"id":3212049,"url":"https://alion.io/job/deutsche-telekom-digital-labs-devops-engineer-2","title":"DevOps Engineer","company":{"id":409,"name":"Deutsche Telekom Digital Labs","domain":"dtdl.in","url":"https://alion.io/company/deutsche-telekom-digital-labs","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Istio","optional":true},{"name":"Service Mesh","optional":true},{"name":"SLI/SLO/SLA","optional":true}],"status":"live","first_seen_at":"2026-10-24T17:36:15Z","employer_posted_date":null,"last_verified_at":"2026-10-24T17:36:15Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a highly skilled DevOps Engineer II to join our Platform Engineering team. The ideal candidate will have strong hands-on expertise in cloud infrastructure, CI/CD automation, Kubernetes, observability, and infrastructure as code. You will work closely with engineering, SRE, QA, and product teams to build scalable, secure, and resilient cloud platforms powering next-generation digital products. This role requires someone who thrives in fast-paced product environments and can drive automation, reliability, and operational excellence across distributed systems.\n\nResponsibilities: \nDesign, implement, and maintain scalable CI/CD pipelines for microservices and cloud-native applications.\nManage and optimise Kubernetes-based container orchestration platforms.\nAutomate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.\nBuild and maintain cloud infrastructure primarily on AWS/GCP/Azure environments.\nImprove system reliability, scalability, performance, and security across environments.\nImplement monitoring, logging, and observability solutions using tools like Prometheus, Grafana, ELK, Datadog, or Splunk.\nCollaborate with development teams to streamline release cycles and deployment strategies.\nDrive DevSecOps best practices, including secrets management, vulnerability scanning, and compliance automation.\nTroubleshoot production issues, conduct root cause analysis, and support incident management.\nOptimise infrastructure costs and improve platform efficiency.\nContribute to automation initiatives for deployments, testing, scaling, and recovery processes.\n\nRequirements: \n4-6 years of experience in DevOps, Cloud Engineering, or Platform Engineering roles.\nStrong experience with cloud platforms such as AWS, Azure, or GCP.\nHands-on expertise in Kubernetes, Docker, and containerised environments.\nStrong knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI, or ArgoCD.\nExperience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.\nGood understanding of Linux systems, networking, and scripting (Bash/Python).\nExperience with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog, or Splunk.\nFamiliarity with microservices architecture and distributed systems.\nUnderstanding of security best practices in cloud-native environments.\nExperience working in Agile/Scrum-based engineering teams.\n\nGood to Have: \nExposure to SRE practices, including SLIs/SLOs and incident response management.\nExperience with service mesh technologies like Istio.\nKnowledge of serverless architectures and event-driven systems.\nExposure to AI/ML infrastructure or MLOps pipelines is a plus.\nRelevant cloud certifications (AWS/Azure/GCP/Kubernetes) preferred.\nSkills\nAWS, AWS CloudFormation, Ansible, Azure, GCP, Kubernetes, Terraform","description_format":"text","description_chars":2861,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","IT Consulting & Digital 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