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Sr. Software Engineer; React, C#, AWS

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Van Kaizen
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, Full Stack Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Software Engineer (React, C#, AWS)

Our client is a company that is revitalizing the manufacturing industry via technology, and they are looking for Sr. Software Engineer to help the modernization of their application and software base in the Los Angeles Area!

To note: this role is to be on-site three days a week to Downtown LA (Wilshire and 110 Area), and does require the candidate to be a US Citizen or have their Permanent Residency (Green Card) without future sponsorship!

Responsibilities
  • Lead the design and architecture of software systems, ensuring scalability, reliability, and high performance.
  • Solve complex technical challenges and optimize system performance through innovative solutions.
  • Mentor and guide junior engineers, providing technical leadership and direction to help them grow.
  • Ability to write and maintain technical documentation.
  • Collaborate with cross-functional teams, including product, QA, and operations, to drive product development and ensure successful delivery
  • Adhere to Best Practices with company software
Qualifications
  • 4-7 years of software development experience, with deep expertise in cloud-based application development
  • Strong backend engineering expertise with C#, microservices, and distributed systems
  • Proficiency in designing and working with RESTful and Graph

    QL APIs

    .
  • Strong experience architecting and deploying cloud-native, serverless, and containerized applications on AWS (Lambda, ECS, Dynamo

    DB, S3, Step Functions, API Gateway, Fargate).
Nice to have
  • Experience or passion for integrating generative AI, LLMs, automation, or ML-driven solutions into production systems
  • Ability to lead the adoption of AI-enhanced workflows and developer productivity tools
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