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Full Stack Engineer

Job in Plano, Collin County, Texas, 75086, USA
Listing for: KMM Technologies, Inc.
Full Time position
Listed on 2026-05-10
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Full Stack Developer, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Lead Full Stack Developer‑Plano, TX (3 days onsite)

Need to be local to Plano - onsite position

About the Role

We’re looking for a hands‑on Senior Software Developer with deep experience building scalable, cloud‑native applications. You’ll design, build, and optimize services and UIs using Java 21+, Python 3.X, Angular 21, and AWS 2.0, with a strong emphasis on RDS (Postgre

SQL/Aurora). You’ll collaborate closely with product, architecture, Dev Ops, and QA to deliver high‑quality features in an agile environment. Experience with GenAI (Bedrock, Claude Sonnet) and graph technologies (Amazon Neptune/Graph APIs) is a strong plus.

What You’ll Do
  • Design & Develop:
    Build microservices and APIs in Java (preferably with AWS SDK v2) and supporting services in Python.
  • Front‑End Engineering:
    Develop performant, accessible front‑end features using Angular (Angular SDK/CLI) and modern Type Script patterns.
  • Cloud Architecture:
    Design and optimize cloud‑native workloads on AWS (ECS/EKS/Lambda, API Gateway, SQS/SNS, IAM, Cloud Watch).
  • Data & Storage:
    Model, tune, and operate relational workloads on Amazon RDS (Postgre

    SQL/Aurora); implement robust migration strategies and performance monitoring.
  • Quality Engineering:
    Champion automated testing (unit, integration, contract, end to end); familiarity with Karate framework is a plus.
  • Security & Compliance:
    Apply secure coding practices, secrets management, least privilege IAM, and encryption in transit/at rest.
  • Performance & Reliability:
    Optimize latency, throughput, and cost; implement observability (metrics/tracing/logging) and resilience patterns (circuit breakers, retries, backoff).
  • GenAI & Graph (Nice to Have):
    Prototype solutions using Amazon Bedrock (e.g., Claude Sonnet), evaluate prompt/response pipelines, and model relationships with Amazon Neptune or Graph APIs.
  • Agile

    Collaboration:

    Work closely with product owners and stakeholders; break down epics, estimate work, review code, and mentor engineers.
Required Qualifications
  • 10+ years of professional software development experience.
  • Expert in Java (Java 11+ preferred) and Python for backend/services and tooling.
  • Proficiency with AWS services and tooling (AWS SDK v2 preferred), CI/CD (Code Build/Code Pipeline/Git Hub Actions/Jenkins), IaC (Cloud Formation/Terraform).
  • Strong experience with RDS (Postgre

    SQL/Aurora)—schema design, query optimization, indexing, replication, and operational best practices.
  • Solid front‑end experience with Angular (RxJS, state management, Angular CLI, unit/e2e testing). ADK 21+ preferred
  • Strong grasp of RESTful APIs, event‑driven architectures, and microservices patterns.
  • Hands‑on with automated testing frameworks and practices (JUnit/Testcontainers/pytest; API testing).
  • Familiarity with containerization and orchestration (Docker, ECS/EKS).
  • Excellent problem‑solving, communication, and code review skills.
Nice‑to‑Have
  • Experience with GenAI on Amazon Bedrock (model selection, prompt engineering, guardrails, evaluation) and Claude Sonnet.
  • Graph experience with Amazon Neptune and Graph APIs (Gremlin/SPARQL).
  • Prior experience in mortgage/secondary market domains;
    Fannie Mae project background is a plus.
  • Karate test automation framework for API and E2E testing.
  • Git Lab experience (CI/CD pipelines, runners, branching strategies).
  • Terraform for infrastructure‑as‑code, particularly with AWS resources.
  • Knowledge of security frameworks (OAuth2/OIDC, JWT), and data governance/regulatory compliance.
  • Observability stack:
    Open Telemetry, Cloud Watch, Datadog, or similar.
Education
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent practical experience).
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