Senior DevSecOps Engineer

📋 Job Overview

As an early mover in the in-space transportation and infrastructure services, Momentus is at the forefront of the commercialization of space. With an experienced team of aerospace, propulsion, and robotics engineers, Momentus has developed a cost-effective and energy-efficient in-space transport system.

🏢 About Momentus

Daring problems require daring solutions. We boldly charge into uncharted territory knowing that no matter the outcome we will benefit from the journey and move closer to our goals no matter what. Our teams know that working at Momentus means more than building innovative technology, it means creating entirely new markets in the space economy. We are level-headed, business-minded strategic thinkers intent on providing immediate value to our customers today while simultaneously preparing for the vast possibilities of the future. If this sounds like you, we should talk.

🎯 The Role

We are seeking a Senior DevSecOps Engineer to operate the cloud infrastructure our engineering teams depend on today and to build its successor from the ground up. The current environment spans AWS, Kubernetes, and CI. The next one is a new AWS GovCloud organization defined entirely as code, with the networking, identity, and software supply chain that a regulated engineering organization needs.

✅ Key Responsibilities

• Operate and improve our existing AWS environments, Kubernetes clusters, and CI platform, and migrate workloads into the new organization as it comes online
• Build a new multi-account AWS GovCloud organization as code
• Build and operate segmented network planes: Transit Gateway, Firewalls, IPAM, PrivateLink, and VPNs to our facilities
• Deliver secure environment ingress / egress
• Own the software supply chain from commit to cluster: CI/CD runner fleets, FIPS-validated images, signed artifacts, replicated registries, private PKI
• Partner with security and compliance to translate NIST SP 800-171 and CMMC controls into automated guardrails and evidence, and to triage and burn down security findings
• Write clear design notes, merge request reviews, and runbooks, and help improve the shared AI-assisted workflows the team uses every day
• Roll out and support AI developer tooling (Claude Code and similar) with managed settings, and review, harden, and operate the MCP servers and agent runtimes our teams depend on

📌 Required Qualifications

• Production Terraform or OpenTofu: reusable modules, state management, imports and refactors, and careful plan review
• Proficiency in Python and/or Go, plus shell scripting
• Clear, concise technical writing
• Deep hands-on AWS experience in a multi-account organization: IAM policy evaluation, Organizations and service control policies, and Identity Center or equivalent federation with an external IDP
• Cloud networking you can debug under pressure: VPC design, Transit Gateway routing and segmentation, firewalls and inspection, DNS, PrivateLink, and site-to-site VPN with BGP; you can answer “why can’t X talk to Y” across accounts
• CI/CD and container supply chain experience, including image builds, signing and verification, secrets management, and vulnerability scanning
• Hands-on experience running access to a hosted model service (Amazon Bedrock, Azure OpenAI, Vertex AI, or similar) or an LLM gateway
• Experience with AI coding agents (Claude Code or equivalent), with a working understanding of its risks: prompt injection, excessive agency, token and secret exposure, and untrusted tool servers

⭐ Desirable Experience

• AWS GovCloud experience, or work inside FedRAMP, NIST SP 800-171, CMMC, or ITAR-controlled environments
• Greenfield landing-zone or account-vending work, including AWS Network Firewall and IPAM
• Private PKI (for example AWS Private CA), HSM-backed key management, and mTLS
• Service mesh (Istio or similar) and GitOps tooling (Argo CD, Flux, or similar)
• LLM gateway operations (LiteLLM or equivalent), per-user cost attribution, and model invocation logging
• Building or securing MCP servers and agent workflows
• Shared AI workflows you built that other engineers adopted: hooks, commands, rules files, skills, or agent pipelines
• Operating Kubernetes in production, preferably EKS
• FIPS 140-3 validated cryptography and hardened container images
• Experience in aerospace, defense, or other export-controlled programs
• Previous experience working on DoD and other USG development and deployment programs
• Ability to hold and maintain a USG Security Clearance

🎁 Benefits

Annual Base Salary Range: $190,000.00 - $225,000.00/per year

Base pay is one part of our total compensation package (base+bonus+equity) and is determined within a range. Your actual base salary will be determined on job-related knowledge and skills, education, and experience. Our benefit plans include medical, dental, and vision insurance, 401k retirement plan, short and long term disability and life insurance. We also offer flexible PTO, along with 11 paid holidays, sick time and paid parental leave.

🛂 Visa & Eligibility

This position requires access to export-controlled commodities, technical data, technology, software, and services. U.S. citizenship, U.S. legal permanent resident status, or protected person status under 8 U.S.C. § 1324b(a)(3) is required.