Skip to content
Momentus Space

Senior DevSecOps Engineer

San Jose, CA, United States; San Jose, CA, United StatesUnited States
Senior · Software
POSTED 10 OCTVERIFIED 1D AGO
Apply Ask
Role
31 days opentrue age
Posted 10 Oct
Pay
$158k–$180kno pay posted
$158k$229k
Market p25–p75
$182k–$229k
Momentus Space p25–p75
$158k–$180kn=5
SF Bay Area · n=1042 · 365d to 6 Nov
CompanyMomentus Space →
9open roles
Opened · 30d
+0
Closed · 30d
−0
2d of snapshots · 30d window
Market
17,077open · Senior Software engineering
Opened · 7d
+9335% of open
All software engineering
75,187open
All tracked boards · live 10 Nov · n=17,077
PythonGoAWSAzureKubernetesDockerTerraformLLMs

OUR COMPANY

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.

OUR PEOPLE

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.

JOB SUMMARY

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.

You will keep the existing environment healthy while the new one takes shape, then move workloads into it. You will also run the tooling that gives our engineers governed access to AI models and coding agents. This is a building role on a small team, and the scope is broad by design. You will not maintain a compliance binder; you will turn security requirements into code that produces its own evidence.

Preference for this role to be onsite but will consider hybrid and remote candidates.

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 Skills and Experience

  • 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

Desired Skills and Experience

  • AWS GovCloud experience, or work inside FedRAMP, NIST SP 800-171, CMMC, or ITAR-controlled environments
Source · Momentus SpaceFirst seen 2 NovOriginal ↗