DevOps Engineer, Vultron

Salary not provided

AWS

Python

Bash

Postgres

Terraform

Azure

Prometheus

Grafana

DevOps

Mid and Senior level

San Francisco Bay Area

AI for federal proposal development

Be an early applicant

AI for federal proposal development

1-20 employees

B2BArtificial IntelligenceEnterpriseSaaS

Be an early applicant

Salary not provided

AWS

Python

Bash

Postgres

Terraform

Azure

Prometheus

Grafana

DevOps

Mid and Senior level

San Francisco Bay Area

1-20 employees

B2BArtificial IntelligenceEnterpriseSaaS

Company mission

To enable organizations to save significant time writing proposals, creating more time to focus on strategic initiatives.

Job

Company

Role

Who you are

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

Desirable

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

What the job involves

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

Our take

Securing federal contracts is essential for national growth, yet the process can be daunting. For example, in FY23 the US spent $774.6 billion, awarding contracts to nearly 110,000 companies. However, preparing proposals in response to government Requests for Proposals (RFPs) can be both time-consuming and expensive.

Vultron is transforming the proposal development process for the public sector with its AI-powered platform, which embeds domain-specific capabilities throughout the federal proposal lifecycle. This approach streamlines workflows, enabling contractors to produce high-quality proposals more efficiently and at a lower cost.

And it hasn't gone unnoticed, with the company recently securing substantial funding, reflecting strong investor confidence. Along with 16x revenue growth in the past year and recognition as the 2024 Company of the Year in AI Government Proposals by GovCIO Outlook, Vultron is ready for a future of exciting growth.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Jul 2025

$17.1m

SERIES A

Oct 2024

$4.9m

SEED

Total funding: $22m

Company HQ

SoMa, San Francisco, CA

Leadership

Mac Liu

(Founder & CEO)

Previously an Engineering Manager/Technical Lead at Anduril Industries. Prior to that, they were a Software Engineer at Robinhood and Google, as well as a Program Manager at Collins Aerospace.

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