Career Mentors, LLC

Career Mentors, LLC

Senior / Staff Software Engineer (Infrastructure)

New York City, New York, United States · Staff+ · Full-time

No sponsorship$190k-$220kDetected 131 days ago
TypeScriptKubernetesTerraformResearchCommunication

About the role

  • Senior / Staff Software Engineer (Infrastructure) Location: New York, NY (Full-time, on-site 5 days/week) Compensation: $190,000 – $220,000 base + competitive equity Hiring: 1 candidate ASAP The Role Own self-hosted deployments for sensitive federal and defense customers. This high-ownership infrastructure role begins hands-on — managing deployments across
  • cloud to fully air-gapped on-prem environments, providing compliance guidance, and performing deep debugging — and evolves into building automation, tools, and broader platform-level infrastructure to support efficient scaling for enterprise clients. Key Responsibilities Adapt, own, and maintain infrastructure for large customers in federal/defense spaces

Responsibilities

  • Develop automation, playbooks, and tools to transition from manual operations to scalable multi-customer support.
  • This high-ownership infrastructure role begins hands-on - managing deployments across cloud to fully air-gapped on-prem environments, providing compliance guidance, and performing deep debugging - and evolves into building automation, tools, and broader platform-level infrastructure to support efficient scaling for enterprise clients.
  • Adapt, own, and maintain infrastructure for large customers in federal/defense spaces across heterogeneous environments.
  • Serve as a forward-deployed engineer, including potential on-site support for classified deployments.
  • The government requires TopTechTalent.ai to maintain information on those who seek employment with the company, including their race and sex.

Requirements

  • Must be a US Person per ITAR.

Nice to have

  • Harden and continuously evaluate security configurations in self-hosted setups.
  • Contribute directly to the product codebase to improve deployability, security, observability, and reliability.
  • Debug complex technical issues in novel or limited-access environments and enhance observability for future efficiency.
  • Participate in an on-call rotation to handle software updates, migrations, network changes, and production incidents.
  • 3+ years of experience in infrastructure software engineering.
  • Demonstrated ownership of production Kubernetes clusters (through professional work, research, or substantial personal projects).
  • On-call experience debugging complex production system failures.
  • Startup background preferred (ideally Series B/C stage)

Compensation

  • $190,000 - $220,000 base + competitive equity Hiring: 1 candidate ASAP The Role Own self-hosted deployments for sensitive federal and defense customers.

Company info

  • Guide customers in establishing and implementing compliant architectures, navigating strict security and operational requirements (FedRAMP Moderate equivalent, CMMC, NIST SP 800-53, IL-5/6).

Equal opportunity

  • TopTechTalent.ai believes that all persons are entitled to equal employment opportunities.
  • TopTechTalent.ai recruits, hires, trains, promotes, disciplines and provides other conditions of employment without regard to a person's race, color, ethnicity, religion, gender, gender identity, or expression, age, national origin, citizenship status, disability, veteran's status, sexual orientation, marital status or other classifications protected under law or Company policy.
  • This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.
  • Accordingly, to help us comply with this requirement, we encourage you to provide us with the following self-identification information.

Visa & Work Authorization

  • ut regard to a person's race, color, ethnicity, religion, gender, gender identity, or expression, age, national origin, citizenship status, disability, veteran's status, sexual orientation, marital status or other classi

This listing is sourced directly from Career Mentors, LLC's careers page and normalized into a canonical job model.