Staff Software Engineer, Full-stack
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Role details
Tech stack
Job description
- Set technical direction on a problem that spans multiple squads, framing it clearly enough that teams move in the same direction instead of solving it in isolation
- Make the architectural calls that others build on, choosing the tradeoffs that save the org months rather than the ones that get paid down for years
- Own the shared architecture in the seams no single squad holds, the systems that everyone depends on and no one is scoped to
- Raise the technical judgment of the engineers around them, so good decisions get made even when they’re not in the room
- Refines the standard for how the org uses AI tooling well, keeping quality and ownership intact as the leverage goes up
Requirements
- 12+ years of software engineering experience with a track record of technical leadership across teams and platforms.
- Strong experience designing scalable distributed systems, APIs, data models, and cloud-native architectures.
- Full-stack expertise with the ability to work across frontend, backend, and infrastructure as needed.
- Active user of AI-assisted development tools, with a thoughtful approach to integrating them into engineering workflows.
- Excellent written and verbal communication skills, including driving technical alignment through design docs and architecture discussions.
- Comfortable leading through ambiguity and influencing without direct authority.
Nice to Have Qualifications
- Background in mission-critical or high-compliance domains (FedRAMP, SOC2, DoD)
- Experience with authentication and identity infrastructure at scale (OIDC, SAML, federated identity)
- Prior experience in a high-growth B2B SaaS environment scaling through significant inflection points
- Familiarity with event-driven architectures and the trade-offs of async-first system design
Benefits & conditions
Posted Yesterday Remote Hiring Remotely in United States 205K-230K Annually Expert/Leader Remote Hiring Remotely in United States 205K-230K Annually Expert/Leader Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment. The summary above was generated by AI Consequential Work. Dedicated People. About Onebrief
Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination.
About the company
Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real.
We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world.
Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth. Engineering at Onebrief
Engineering at Onebrief means building systems that must perform reliably in complex, high-stakes environments where operational outcomes matter more than activity, output, or elegant theory alone.
This is work for engineers who care about reliability, adaptability, observability, and building systems that succeed under real-world conditions. As AI transforms how software is built, engineering here is increasingly focused on verification, judgment, and helping teams operate more effectively at scale.
You’ll likely feel energized here if you care about:
- meaningful technical challenges
- systems that operate under real-world constraints
- outcomes over activity
- and grounded teams focused on solving important problems well.
Why this role exists
Onebrief builds software for military planning, where the cost of a slow or wrong decision is measured in something more than a missed sprint. That raises the bar on the engineering itself. The systems have to hold up under real operational load, in environments where the customer can’t tolerate failures or downtime.
A Staff Software Engineer sets the technical direction that keeps that bar met as the product and the org grow. Not by writing the most code, but by making the decisions that everyone else’s code depends on: how a system is structured, where the hard boundaries sit, which tradeoffs are worth the complexity. A Staff Software Engineer is delivering at a high level, building the foundation in the shared architecture no one team owns outright.
Onebrief is building in the AI-native era, and Staff engineers here lead on how the org uses these tools well: what to trust to them, where human judgment stays non-negotiable, and how to keep quality and ownership intact as the leverage goes up.
What You’ll Do
- Own and drive technical strategy across multiple squads, shaping architectural decisions that have a lasting impact on Onebrief’s platform.
- Tackle the company’s most ambiguous technical challenges, turning loosely defined problems into scalable solutions that teams can execute.
- Build the shared systems, patterns, and platform capabilities that enable engineering teams to move faster and deliver more effectively.
- Partner with engineering and product leadership to influence the technical roadmap, balancing long-term platform health with rapid customer delivery.
- Shape how engineering works by evolving AI-assisted development practices, engineering standards, and technical decision-making across the organization.
- Raise the technical bar by mentoring engineers through design reviews, architectural guidance, and cross-team collaboration.
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