{"id":3203556,"url":"https://alion.io/job/neurofin-devops-engineer","title":"DevOps Engineer","company":{"id":4403216,"name":"Neurofin","domain":"neurofin.ai","url":"https://alion.io/company/neurofin","size_band":null,"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":"junior","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"ArgoCD","optional":true},{"name":"Claude Code","optional":true},{"name":"CloudFormation","optional":true},{"name":"Copilot","optional":true},{"name":"Datadog","optional":true},{"name":"GitOps","optional":true},{"name":"Loki","optional":true},{"name":"Pulumi","optional":true}],"status":"live","first_seen_at":"2026-10-24T10:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-24T10:35:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We're looking for a hands-on DevOps Engineer to join our growing engineering team. You'll work closely with developers and platform leads to build, maintain, and improve our cloud infrastructure, CI/CD pipelines, and observability stack. This is a high-ownership role you'll be contributing to real production systems from day one.\n\nResponsibilities: \nProvision and manage cloud infrastructure across one or more public cloud providers (AWS preferred).\nBuild and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins[Any].\nWork with containerised workloads, Docker, Kubernetes (EKS/AKS/GKE).\nSupport monitoring and alerting using Prometheus, Grafana, or equivalent tooling.\nAssist with security hardening, access management (IAM), and compliance hygiene.\nWrite and maintain Infrastructure as Code using Terraform or similar tools.\nCollaborate with developers to debug deployment issues and improve release velocity.\nDocument infrastructure runbooks, architecture decisions, and incident playbooks.\n\nRequirements: \n2+ years of hands-on DevOps or cloud infrastructure experience.\nSolid working knowledge of at least one public cloud: AWS, Azure, or GCP.\nExperience with Linux administration and shell scripting (Bash/Python).\nFamiliarity with containerisation, Docker, and basic Kubernetes operations.\nExposure to CI/CD pipeline design and management.\nGood grasp of networking fundamentals: VPCs, subnets, DNS, load balancers, security groups.\n\nGood to Have: \nMulti-cloud exposure across AWS + Azure, or GCP.\nExperience with AI-assisted development tooling, such as Claude Code, GitHub Copilot, or similar.\nHands-on with IaC tools Terraform, Pulumi, or CloudFormation.\nFamiliarity with GitOps workflows and tools like ArgoCD or Flux.\nExposure to observability stacks, such as Grafana, Loki, Prometheus, or Datadog.\nBasic understanding of security and compliance concepts (IAM hardening, secret management, audit logging).\nSkills\nAWS, Amazon Web Services, Azure, DevOps, DevOps Engineer, GCP, Google Cloud Platform, 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