{"id":4045656,"url":"https://alion.io/job/accedo-infrastructure-platform-engineer","title":"Infrastructure & Platform Engineer","company":{"id":1941358,"name":"Accedo","domain":"accedo.tv","url":"https://alion.io/company/accedo-tv","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, 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":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"FinOps","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"New Relic","optional":true},{"name":"SigNoz","optional":true}],"status":"live","first_seen_at":"2026-11-10T23:35:45Z","employer_posted_date":null,"last_verified_at":"2026-11-10T23:35:45Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"We are looking for a hands-on Infrastructure & Platform Engineer to build, operate and improve the cloud infrastructure and shared engineering capabilities used by our customer projects and internal teams. AWS is our primary cloud platform.\n\nThe role combines infrastructure and platform engineering, with a stronger emphasis on hands-on infrastructure. You will use infrastructure as code, automation and AI-assisted engineering workflows to deliver secure, reliable and cost-effective environments, troubleshoot operational and deployment issues, and create reusable platform capabilities that help development teams deliver software safely and independently.\n\nThe role suits an engineer who can work independently on well-defined outcomes, communicates clearly with technical and non-technical stakeholders, and is keen to learn unfamiliar services and systems.\n\nObjective of the role:\nProvision, change and maintain AWS infrastructure across development, test and production environments.\nUse Terraform as the primary infrastructure-as-code tool, while supporting AWS CDK-managed services where appropriate.\nOperate common AWS services covering networking, DNS, CDN and web hosting, identity and access, compute, storage, databases, messaging, secrets and monitoring.\nMaintain and improve CI/CD infrastructure, including GitHub Actions, deployment roles, OIDC integrations, secrets and environment configuration.\nBuild and improve reusable platform capabilities, including Terraform modules, deployment patterns, guardrails, templates and self-service workflows for engineering teams.\nInvestigate infrastructure, networking and deployment problems; identify root causes, implement safe fixes and verify outcomes.\nApply practical security controls, including least-privilege IAM, secure secret handling, certificates, access controls and resource governance.\nImprove reliability and observability through useful logs, metrics, alerts, operational checks and runbooks.\nParticipate in an out-of-hours on-call rota, responding to infrastructure alerts and incidents, carrying out initial diagnosis and remediation, and escalating or handing over when appropriate.\nSupport infrastructure upgrades, capacity changes and cost optimisation.\nCreate reusable automation and scripts that reduce manual work and make common changes repeatable.\nUse approved AI coding assistants and agents to accelerate investigation, implementation, testing, documentation and pull-request preparation or review.\nBuild safe, auditable AI-assisted workflows for repetitive operational work, with scoped access, appropriate human approval and clear evidence supporting any recommendation or change.\nWork directly with internal customers and project teams to clarify requirements, explain trade-offs and deliver pragmatic solutions.\nKeep technical documentation and handover notes accurate enough for another engineer to operate the service.\n\nEssential Experience & Skills:\nPractical commercial experience building and operating infrastructure in AWS.\nStrong working knowledge of Terraform in production environments, including modules, state, plans and safe change management.\nExperience creating reusable infrastructure modules, deployment patterns, templates or other shared capabilities for engineering teams.\nGood understanding of Linux, command-line tooling and core networking concepts such as VPCs, subnets, routing, DNS, HTTP and TLS.\nExperience with CI/CD pipelines and source control; GitHub and GitHub Actions are preferred.\nAbility to automate routine tasks in at least one scripting language, such as Python, Bash, PowerShell or TypeScript.\nPractical experience using AI coding assistants or engineering agents in day-to-day work, together with the judgement to challenge, test and verify their output rather than accept it uncritically.\nStrong troubleshooting skills across infrastructure, application deployment and network boundaries.\nWillingness and ability to participate in the team's out-of-hours on-call rota.\nAwareness of cloud security fundamentals, especially IAM, secrets and least-privilege access.\nAbility to take ownership of work, prioritise sensibly and make progress with limited day-to-day supervision.\nClear, customer-focused communication and a collaborative approach to supporting development teams.\nCuriosity and willingness to learn new services, tools and project environments.\n\nDesirable experience:\nAWS CDK, particularly with TypeScript.\nContainers and Docker.\nKubernetes or Amazon EKS, including Helm and cluster add-ons; deep platform-engineering expertise is not required.\nCloudFront, Route 53, WAF, API Gateway, Lambda, ECS, S3, DynamoDB, RDS, ElastiCache/Valkey or Amazon MQ.\nGitHub OIDC integrations and automated AWS deployments.\nExperience creating reusable AI instructions, prompts, skills or agent workflows for engineering and operational tasks.\nFamiliarity with tool-connected AI workflows, such as Model Context Protocol (MCP) integrations for AWS, Terraform, Kubernetes, observability or engineering knowledge systems.\nExposure to AI-assisted operations, such as telemetry investigation, alert enrichment, incident triage, knowledge retrieval or automated reporting.\nCloudWatch, New Relic, SigNoz or similar observability platforms.\nAWS cost analysis, rightsizing and practical FinOps improvements.\nExperience supporting multiple customer or product environments.\nRelevant AWS certification, although demonstrable hands-on experience is more important.\n\nWhat you'll need to succeed:\nWithin the first six months, the successful candidate should be able to deliver routine AWS and Terraform changes independently and safely diagnose and resolve common deployment, access, DNS, networking and service issues.\nSupport project teams with clear advice and predictable follow-through.\nImprove a shared infrastructure or deployment capability that makes engineering teams more self-sufficient.\nUse approved AI tools effectively while retaining ownership of technical decisions, validation and security.\nImprove at least one recurring operational process through automation, an AI-assisted workflow or better documentation.\nContribute confidently to production changes, reviews and incident follow-up with appropriate support for higher-risk decisions.\nSkills\nAWS, Amazon Web Services, CI / CD, Terraform","description_format":"text","description_chars":6323,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Media & Entertainment","Software"],"lifecycle":[{"event":"open","at":"2026-11-10T23:35:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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