Writer

1 month ago

Software engineer, connectors & MCP

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Design and build secure, scalable AI integration platforms and backend services that connect enterprise systems for agent workflows. Lead API-driven, high-throughput services with strong security, identity, and observability, shaping the platform alongside product and engineering leaders in a hybrid, multi-city setup.

Location: San Francisco, New York, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation.
•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.

Pay and Benefits

Salary: USD 155,400 - 304,100 annually

Equity and Bonus:Equity

Perks:Health InsuranceParantal Leave401kEquityWellness StipendLearning Stipend

Key Requirements

•5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun.
•Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
•Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation).
•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.

Experience:5+ yearsEnterprise softwareAISaaS

Tech Stack:TypescriptDenoNode.jsBunMicroservicesOAuth2OIDCDockerKubernetesCI/CDPostgreSQLPython

Company Brief

Writer

Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: New York, United States

Founded: 2019

Website LinkedIn

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Writer

1 month ago

Software engineer, connectors & MCP

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation.
•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.

Pay and Benefits

Salary: USD 155,400 - 304,100 annually

Equity and Bonus:Equity

Perks:Health InsuranceParantal Leave401kEquityWellness StipendLearning Stipend

Key Requirements

•5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun.
•Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
•Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation).
•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.

Experience:5+ yearsEnterprise softwareAISaaS

Tech Stack:TypescriptDenoNode.jsBunMicroservicesOAuth2OIDCDockerKubernetesCI/CDPostgreSQLPython

Company Brief

Writer

Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: New York, United States

Founded: 2019

Website LinkedIn