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DevOps Engineer
DevOps EngineerVultron • San Francisco, California, United States
DevOps Engineer

DevOps Engineer

Vultron • San Francisco, California, United States
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Why Vultron

Vultron is bringing general intelligence to government contracting. As an early member of the team, you’ll be part of a transformative company from its early stages.

Exceptional Market Demand : Secured significant contracts with government and defense contractors across the world.

World-Class Team : ex-Anduril, Robinhood, Google, Amazon, DoD, etc. Founding team includes early members at $1B+ startups in the defense sector.

Competitive Compensation : Industry-leading salary and equity offerings.

Challenges

We are harnessing the transformative power of Generative AI and autonomous technology to revolutionize the way things are done, breaking away from old methods to significantly improve efficiency, security, and creativity in all kinds of government-related initiatives.

Handling Sensitive Data : Dealing with highly confidential information from critical government contracting firms.

Pushing AI Frontiers : Solving problems that surpass the scope of current AI benchmarks in the government context.

Uncharted Territory : Addressing unique challenges in natural language processing and optimizing AI models for specific government contracting functions, while ensuring secure and compliant data handling.

Role

As a key member of Vultron, you will :

Design, build, and operate the foundational infrastructure behind our AI platforms.

Build scalable & secure cloud and on-premise systems that support AI workflows, meet compliance obligations, and enable rapid iteration and deployment across diverse environments.

Bring deep experience in self-hosting open-source infrastructure

Qualifications

3+ years in infrastructure, DevOps, or platform engineering roles.

Demonstrated experience with Terraform to manage cloud infrastructure (AWS, Azure).

Experience self-hosting and managing open-source infrastructure such as Postgres, Prometheus / Grafana, object storage (e.g., SeaweedFS), and observability pipelines.

Strong scripting ability in Bash and Python.

Deep understanding of system-level security, networking, and backup strategies.

Proven leadership in software development with strong cross-functional collaboration and a growth mindset driven by continuous learning and exploration of new technologies.

Due to compliance requirements with certain government customers, this role requires access to systems restricted to U.S. persons (as defined by 22 C.F.R. § 120.62). U.S. citizenship is preferred due to additional restrictions imposed by some contracts.

Bonus

Experience deploying open-source AI tools (e.g., vLLM, TGI, Hugging Face Transformers, embedding pipelines, FAISS).

Familiarity with GPU-based systems, model serving, and low-latency inference workloads.

Previous ownership of infrastructure supporting FedRAMP Moderate Equivalency, SOC 2, or NIST 800-171 compliance.

Experience with audit prep, documentation, and evidence collection for regulated environments.

Ability to operate independently in air-gapped or hybrid network environments.

Experience in defense tech or high-stakes enterprise markets is a plus.

Eligibility to obtain a U.S. Government security clearance

Bay Area based

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