Lead DevOps Engineer (FDE)
Shuru Technologies Lead DevOps Engineer (FDE)
Shuru is a self-managed technology team specializing in accelerating visions through product, technology, and AI leadership. With a focus on bespoke execution, we deliver impactful solutions that are scalable and designed for success. At Shuru, we deliver mobile solutions that meet and exceed customer expectations. Our collaborative and fast-paced environment encourages creativity and innovation.
We are looking for a Lead Forward Deployed Engineer to lead strategic enterprise AI deployments from discovery through production. You will work directly with customer executives, operators, and engineering teams to identify high-value business problems, build production-ready agentic AI solutions, and integrate our platform into real customer workflows.
This role combines hands-on software engineering, customer leadership, solution architecture, and product strategy. You will also help build the Forward Deployed Engineering function by creating reusable playbooks, mentoring engineers, and turning customer learnings into core product capabilities.
Job Responsibilities
- Lead customer discovery and translate business goals into clear technical plans, milestones, and success metrics.
- Own strategic enterprise deployments from pilot through production, with a target deployment timeline of 30-90 days.
- Build production integrations across customer data warehouses, CRMs, identity providers, approval workflows, and internal systems.
- Develop agentic AI applications using LLMs, RAG, tool calling, structured outputs, and multi-step workflows.
- Design evaluation frameworks, golden datasets, monitoring, and quality controls for customer-specific use cases.
- Manage executive and technical stakeholders, communicate risks, and lead customer enablement and change management.
- Partner with Product and Engineering to convert customer needs into reusable product features.
- Mentor FDEs, define delivery standards, and help establish the team’s hiring and operating playbook.
- Support production systems, troubleshoot incidents, and ensure solutions remain secure, reliable, and maintainable.
Requirements
- 10+ years of experience building and shipping production software.
- Strong experience with Python, TypeScript, Go, Java, or Rust; Python is preferred.
- Hands-on experience building production LLM or agentic AI applications.
- Experience with RAG, prompt design, tool calling, agent orchestration, embeddings, and vector databases.
- Strong knowledge of APIs, data pipelines, SQL, cloud platforms, Docker, and enterprise integrations.
- Familiarity with authentication and identity technologies such as OAuth, SAML, SSO, SCIM, Okta, or Microsoft Entra ID.
- Experience working directly with enterprise customers and managing complex, multi-stakeholder relationships.
- Ability to explain technical decisions in terms of business value, cost, risk, and delivery timelines.
- Strong written communication, problem-solving, and stakeholder-management skills.
- Experience mentoring engineers or leading complex technical engagements.
Benefits
- Competitive salary and benefits package.
- Work with experienced product and engineering leaders.
- Opportunities for learning, mentorship, and career growth.
- A chance to make a real impact across diverse, innovative projects.