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Senior DevOps Engineer

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Aviatrix
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 131500 - 154700 USD Yearly USD 131500.00 154700.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

About the Role

We are looking for a seasoned Senior Dev Ops Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey‑level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI‑driven tooling, and modern cloud operations, partnering closely with development and Tech Ops teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities
  • Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
  • Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
  • Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
  • Integrate AI and large language model (LLM) capabilities into Dev Ops tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context‑aware pipeline tooling.
  • Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
  • Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
  • Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
  • Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
  • Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.
Qualifications
  • 5+ years of related Dev Ops/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
  • Deep, hands‑on expertise with Terraform for infrastructure as code — this is a must‑have.
  • Hands‑on, production‑level experience building and deploying AI/LLM‑integrated systems — this is a must‑have. You have worked directly with large language model APIs, designed AI‑assisted workflows, and shipped real tooling powered by LLMs in an engineering or Dev Ops context.
  • Hands‑on, production‑level experience with Model Context Protocol (MCP) — this is a must‑have. You have implemented MCP‑based integrations to build intelligent, context‑aware developer tools, automation pipelines, or agent workflows, not just read about it.
  • Strong command of CI/CD platforms (e.g., Git Hub Actions, Git Lab CI, Jenkins, CircleCI, or similar).
  • Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
  • Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
  • Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high‑quality solutions with minimal supervision.
Preferred
  • Experience with Kubernetes, Helm, or container orchestration platforms.
  • Familiarity with Git Ops workflows (e.g., ArgoCD, Flux).
  • Scripting proficiency in Python, Bash, or Go.
  • Knowledge of observability tooling (Datadog, Prometheus/Grafana, Open Telemetry).
  • Experience building internal developer platforms (IDPs).
US Pay Range

The US National annual base salary range for this full‑time position is $131,500‑$154,700 + benefits + 401(k) match + equity.

Benefits

US:
We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long‑term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.

Outside the US:
We offer…

Position Requirements
10+ Years work experience
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