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Product Engineering | PxE Platforms | Group Engineering Leader

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: California

Lead a full‑stack engineering workstream delivering cloud‑native products and Generative AI (GenAI) capabilities. You will guide day‑to‑day technical execution, ensure secure and reliable delivery, and partner with product, design, and stakeholders to translate requirements into working software—while incorporating strong system design and privacy‑by‑design practices.

Recruiting for this role ends on 2/28/2026 Key responsibilities

Workstream leadership:
Own delivery for an engineering workstream (scope, plan, dependencies, risks), coordinating across engineers, product, QA, and platform/security partners.

System design & architecture:
Produce and socialize system designs (component diagrams, sequence flows, data flows, scalability/resiliency patterns, failure modes), and drive design reviews and technical tradeoffs.

Hands‑on full‑stack delivery:
Design and build front‑end and back‑end components; review code, improve test coverage, and drive pragmatic engineering standards.

GenAI implementation:
Deliver GenAI features using patterns like Retrieval Augmented Generation (RAG), prompt design, tool/function calling, and agent‑style workflows.

Agent orchestration with Lang Graph:
Build and maintain multi‑step GenAI workflows using Lang Graph (stateful execution, routing, tool use, human‑in‑the‑loop patterns), including traceability and evaluation.

Cloud‑native engineering:
Build and operate solutions on AWS, Azure, and/or Google Cloud Platform (GCP) using Platform as a Service (PaaS), Functions as a Service (FaaS), containers, and microservices.

Dev Sec Ops  execution:
Implement continuous integration/continuous delivery (CI/CD), quality gates, security scanning, and release practices using tools such as Azure Dev Ops (ADO) and/or Git Hub, plus static analysis tools (e.g., Sonar Qube).

Reliability & operations:
Apply Site Reliability Engineering (SRE) fundamentals—instrumentation, monitoring/alerting, incident response readiness, and post‑incident improvement.

Privacy & data protection:
Embed privacy factors into design and delivery (data minimization, purpose limitation, retention, consent/notice where applicable, access controls, encryption, secrets management, auditing). Ensure GenAI solutions address PII/PHI handling, data residency needs, and safe logging/telemetry practices.

Agile delivery:
Operate within Scaled Agile Framework (SAFe), Lean, and Extreme Programming (XP) practices as applicable; contribute to sprint planning, story refinement, and technical acceptance criteria.

Coaching & team development:
Mentor engineers, support technical onboarding, and contribute to interviewing and hiring.

Stakeholder communication:
Communicate tradeoffs, delivery status, and risks clearly; provide crisp technical recommendations to business outcomes.

Qualifications Required (full stack & system design)

6+ years professional software engineering experience with modern full‑stack delivery.

3+ years building and deploying cloud‑native solutions on AWS/Azure/GCP.

1+ years hands‑on experience delivering GenAI capabilities in products or internal platforms.

Prior experience with system design capability (distributed systems fundamentals, API‑first design, scalability, resiliency, caching, data modeling, and security patterns).

Prior experience with multiple of the following (depth in at least one primary stack):
Angular and/or React, Node.js, Python, C#, .NET Core, Java, and/or Golang, SQL and No

SQL databases.

Prior experience with object‑oriented programming (OOP), data structures/algorithms, secure coding, and performance considerations.

Prior experience driving quality through code reviews, automated testing, and clean engineering practices.

Prior experience with Dev Sec Ops  practices (CI/CD, branching strategies, automated testing, security scanning, quality gates).

Prior experience with privacy/security engineering practices: PII classification, least privilege, encryption in transit/at rest, secrets handling, retention controls, and audit logging.

Prior experience with observability and operational readiness (logs/metrics/traces; incident practices where applicable).

Prior experience integrating with one or more LLM…

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