Senior Engineer - Workforce Tools & Integrations

Jobgether · US

Company

Jobgether

Location

US

Type

Full Time

Job Description

Team: IT

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer - Workforce Tools & Integrations in the United States.

This role sits at the intersection of cloud engineering, AI-driven automation, and workforce productivity platforms, shaping the tools used daily by large-scale internal teams. You will design and build scalable, secure, and event-driven systems that integrate across modern enterprise tools and services. The position involves working on AI-enabled workflows, internal developer platforms, and integrations that improve operational efficiency and reliability. You will collaborate with cross-functional engineering teams spanning DevOps, security, infrastructure, and product. The environment is highly collaborative, innovation-driven, and focused on continuous improvement. Your work will directly enhance how teams deliver services faster, safer, and with greater impact.

Accountabilities:

In this role, you will be responsible for designing, building, and maintaining scalable workforce tools, integrations, and cloud-native services that support enterprise operations.

  • Design and implement secure, cost-effective, and scalable software solutions using modern cloud and microservices architectures
  • Build and maintain integrations across internal platforms and external APIs, including AI/LLM-enabled systems and automation workflows
  • Contribute to architectural decisions and uphold engineering best practices across CI/CD, DevOps, and Agile delivery models
  • Develop event-driven services and reusable components that enhance system reliability, extensibility, and performance
  • Participate in Agile ceremonies, peer reviews, production issue resolution, and continuous improvement initiatives
  • Collaborate with product and architecture teams to translate requirements into technical solutions and effort estimates
  • Support operational excellence by ensuring adherence to security standards, coding guidelines, and deployment best practices
  • Requirements:

    The ideal candidate brings strong full-stack or backend engineering expertise with proven experience in modern cloud and integration-heavy environments.

    • 5–8 years of production software engineering experience across the full development lifecycle
    • Strong hands-on experience with JavaScript/TypeScript, Node.js, React, and AWS serverless technologies
    • Demonstrated experience building and maintaining integrations with external APIs and distributed systems
    • Experience designing and operating AI-enabled systems, including LLM integrations, MCP servers, and related infrastructure
    • Understanding of AI system security practices including guardrails, access control, and secrets management
    • Strong knowledge of scalable architecture, system design, testability, and maintainability principles
    • Experience working in Agile, CI/CD, and DevOps environments with production ownership responsibilities
    • Excellent communication, collaboration, and mentoring skills in cross-functional engineering teams
    • Ability to evaluate and adopt emerging technologies, particularly AI-driven tools and workflows
    • U.S. work authorization and willingness to travel 3–5 times per year
    • Benefits:

      • Competitive salary range: $153,000 – $166,000, adjusted based on location and experience
      • Annual bonus eligibility and merit-based salary progression opportunities
      • Fully remote-first flexibility with optional hybrid arrangements near office locations
      • Comprehensive health, dental, and wellness benefits package
      • Mission-driven, impact-oriented work environment focused on education and opportunity access
      • Strong emphasis on professional growth, learning, and continuous skill development
      • Collaborative engineering culture with mentorship, feedback, and knowledge-sharing practices
      • Opportunity to work with modern AI technologies and cutting-edge cloud infrastructure.
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Date Posted

05/19/2026

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