About the role

Role overview

DevOps / MLOps / AIOps Engineer (Contract-to-hire), remote in the US. You will design and maintain cloud infrastructure, CI/CD pipelines, and end-to-end observability to keep AI systems and related services reliable in production.

Key responsibilities

Own cloud infrastructure and the full deployment lifecycle for AI/agent systems
- Azure Container Apps, managed-identity secret references via Key Vault
- Release pipeline for Elixir/OTP services and agent workers
Enable and operate agent serving & scaling
- Support two deployment models:
  - self-hosted workers for sensitive data on the firm’s infrastructure
  - managed cloud sandboxes for other workloads
- Manage scaling, connection pooling, and per-session supervision
Build and maintain CI/CD with quality gates
- Formatting, Credo strict, compile with warnings-as-errors
- Run full test suite and staging auto-migration job
- Protect main with branch protection and required reviews
Deliver production observability and monitoring
- Telemetry for LLM requests and cron jobs
- Dashboards, alerting, and regression-detection signals
- Track token/cost/latency for both product core and agent runtime
Manage LLM + infrastructure cost
- Token spend, model selection, and capacity planning
Lead incident response and on-call

Technologies / work areas

Azure: Container Apps, Container Apps Jobs, managed identity, Key Vault, runtime configuration
Agents & polyglot services: Elixir/OTP (BEAM) alongside Python workers in containers
Background jobs & runtime: Oban, Finch (HTTP pooling), SSE streaming infrastructure
Multi-cloud: AI services across Azure, AWS, and Google Cloud

Requirements

5+ years in DevOps, MLOps, or platform engineering
Strong experience with cloud infrastructure and CI/CD
Production observability across metrics, logs, traces, and alerting
On-call and incident-response maturity
Strong cost-optimization mindset (genuine focus on reducing token and infrastructure costs)
Comfort operating polyglot containerized services (BEAM releases + agentic workers)

Nice to have

Experience with Azure/AWS/GCP and Elixir release operations
LLM cost and observability tooling (e.g., token accounting, eval-in-prod signals)
Depth in container orchestration and secrets management

About Elios AI

Elios AI is building an in-house AI platform team for a fast-growing financial advisory and accounting firm. The platform focuses on reliable production operation of AI agents and cloud infrastructure in a regulated, sensitive-data environment.

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