Mozilla.ai
Staff Application Engineer, Workplace Technology
Job Description
Why Mozilla?Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser.
Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation.
This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:The role is part of the IT Function within the broader Mozilla Infrastructure team. The IT team supports ERP Services, Workplace services, Service-Desk and On-Prem DC Services across the organization aligned with the mission to build a safe & secure internet. As a Staff Software (Application) Engineer in the newly formed Workplace technology team, you’ll serve as a technical leader within the team, architecting scalable systems and automation that enhance collaboration, identity, and AI productivity across Mozilla.
You’ll design and deliver secure, efficient application workflows; mentor engineers; and partner across IT, Security, and People teams to advance the reliability and intelligence of our workplace platform. This role blends deep technical ownership with cross-functional impact — helping Mozilla innovate the way we work every day. Note: You don’t need to meet every listed qualification to be considered — we value diverse experiences and learning potential.
What you’ll do: Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini). Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access.
Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e. g. , virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale.
Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption. Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance. Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact.
Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture. Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations. Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction.
What you’ll bring: 7–10 years of software engineering or automation experience, including experience building scalable systems, integrations and agentic workflows in enterprise environments. Strong software design and development skills in Java, Go, Python, JavaScript/TypeScript (or Apps Script), or equivalent languages; experience with building production-ready services and agentic systems. Deep experience integrating SaaS platforms (collaboration tools, identity systems) using APIs, SDKs, event-driven architectures, and building automation/agent orchestration layers.
EWJD3