Software Engineer (Connectors & Message Control Program)

• We’re looking for an exceptional software engineer to join our rapidly evolving team at WRITER
• In this pivotal role, you’ll be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate
• You’ll dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity
• This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works
• You’ll report to our senior director, engineering
• Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation
• Contribute to the design and evolution of our AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems
• Own backend service design for high-throughput, low-latency APIs that enable reliable agent workflows and complex cross-system orchestration
• Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance
• Partner with product and cross-functional engineering leaders to shape roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities
• Lead production excellence through a metrics-first reliability strategy, defining and enforcing SLOs/SLAs, maturing observability, and driving resilience, incident readiness, and performance optimization at scale
• Raise the engineering bar through architecture reviews, pragmatic design standards, rigorous testing strategy, and mentorship of senior and mid-level engineers

Benefits

• Health: Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA.
• Family-friendly: Competitive parental leave policy, working parents can truly own their schedules.
• Hybrid culture: We’re built around a mix of in office collaboration and remote work when needed.
• Finance: Company stock options, plus a 401k plan with employer contributions.
• Growth: Learning and development stipend and generous PTO.
• SF/NY/London office space: Three beautiful sunny offices in three incredibly exciting cities.- Deep hands-on knowledge of authentication and security patterns for third-party integrations (OAuth2/OIDC, API keys, token lifecycle, secret management, least-privilege access)
• Proven cloud-native experience on AWS, GCP, or Azure, including containerized workloads (Docker/Kubernetes), CI/CD, and production operations
• Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication
• Demonstrated ability to lead through ambiguity: partner cross-functionally, mentor engineers, drive technical decisions, and own delivery from design through production
• 5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun; scope and leveling can flex across Senior to Staff based on architectural impact and leadership
• Solid backend fundamentals in modern server frameworks and data systems (e.g., TypeScript/Node or Python ecosystems, PostgreSQL), with ability to choose the right tool for the system; experience with Python is a plus but not required
• You embody our core values of Connect, Challenge, and Own. You build strong partnerships across teams, challenge conventional thinking to drive innovation, and take ownership of your work with a focus on delivering meaningful impact and excellence
• Strong experience with observability and reliability engineering, including defining/operating service metrics, SLOs/SLAs, alerting, incident response, and performance tuning
• Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation), not just prompt or model experimentation