{"id":1229947,"url":"https://alion.io/job/mediamint-platform-engineer-ai-systems","title":"Platform Engineer - AI Systems","company":{"id":2307227,"name":"MediaMint","domain":"mediamint.com","url":"https://alion.io/company/mediamint-com","size_band":"201-500","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":["Hyderabad, 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":"AI Agents","optional":false},{"name":"Bootstrap","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-21T12:18:00Z","employer_posted_date":null,"last_verified_at":"2026-09-21T12:18:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Platform Engineer (AI Systems) :\n\nThe team :\n\nThis team builds, operates, and owns the production platform that runs our AI agents. The foundation is a cloud-agnostic, secure-by-default modern CNI Kubernetes stack. What this team ships, this team operates. There is no handoff - the team owns the full product lifecycle, including design, security, packaging, release, and operations.\n\nWhat you'll work on :\n\n- Build the Kubernetes production stack: ingress, SSO, databases, object storage, caching, secrets, and telemetry, shipped as one versioned package that installs with a single command.\n\n- Extend the self-service layer: custom resources and controllers that auto provisions application teams scoped databases, buckets, caches, and identity realms with least-privilege credentials.\n\n- Build and harden the sandboxed execution services that run untrusted, model-generated code for AI and data workloads: process isolation, resource budgets, durable session workspaces.\n\n- Build the agent runtime: the trusted service that holds the LLM provider connection, streams conversation turns, and dispatches every tool execution into the sandbox rather than running it in-process.\n\n- Write the services and tooling around the platform in Python or Go: HTTP APIs, executors, Kubernetes controllers, bootstrap and release automation.\n\n- Prove the security model: build telemetry, alerting, and automated checks that assert the isolation controls against live deployments.\n\n- On-call responsibilities: team members take turns being on-call for production issues. The rotation is 1-6 (1 week on and 6 weeks off).\n\nRequirements:\n\n- 2-5 years of professional or project experience writing systems software or infrastructure as code.\n\n- Strong fundamentals in algorithms.\n\n- Demonstrated depth in Go or Python.\n\n- Demonstrated depth in Kubernetes or Terraform.\n\n- Academic excellence.\n\nWe understand that this is a junior engineering role, and demonstrated depth in one skill from each pair (e.g. Kubernetes and Python) is what passes the interview.\n\n90-day success criteria:\n\nBy day 30:\n\n- Run the current platform locally: bootstrap the stack, deploy the sandbox and agent runtime on it, and onboard the example app through the self-service claims.\n\n- Ship a first change to production - small is fine; the point is completing one full design-review-release cycle.\n\nBy day 60:\n\n- Own a backlog item end to end: design, implementation, release, and the operational follow-up, with review from the team.\n\n- Land a change in at least two of the three products (stack, sandbox, agent runtime).\n\nBy day 90:\n\n- Carry a quarterly backlog item without day-to-day supervision.\n\n- Complete an on-call shadow week and join the 1-6 rotation.\n\n- Run the isolation checks against a live deployment and explain what each control prevents.\nSkills\nKubernetes, Python, Terraform, Algorithm, Cloud, Golang, OS Deployment, DevOps","description_format":"text","description_chars":2902,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.888,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["seen:6","velocity","win:early","comp:junior"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mediamint-platform-engineer-ai-systems","json_url":"https://alion.io/job/mediamint-platform-engineer-ai-systems.json","meta":{"generated_at":"2026-09-29T03:16:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3031,"day_limit":5000,"remaining_today":1969,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}