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Lead Systems Architect | 2026 Platform | San Francisco

Apex Logic Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead Systems Architect to spearhead the development of our proprietary 2026 Platform. As we prepare to redefine the industry standard for enterprise data processing, we need a technical leader who can architect scalable, high-performance systems capable of handling billions of transactions.

In this pivotal role, you will bridge the gap between complex engineering challenges and strategic business goals. You will lead a world-class team in San Francisco, ensuring our infrastructure is not just ready for today, but built for the future.

Responsibilities

  • Architect the core infrastructure for the 2026 Platform Release, focusing on scalability, security, and microservices architecture.
  • Lead a team of senior engineers and developers in the design and implementation of critical system upgrades.
  • Define and enforce technical standards, coding best practices, and architectural patterns across the organization.
  • Collaborate with product management to translate high-level business requirements into robust technical blueprints.
  • Drive the migration strategy from legacy monolithic systems to modern cloud-native solutions.
  • Mentor junior staff and conduct rigorous technical code reviews to maintain engineering excellence.
  • Ensure system reliability through comprehensive load testing and disaster recovery planning.

Qualifications

  • 10+ years of experience in software engineering and system architecture, with at least 3 years in a Lead/Principal capacity.
  • Deep expertise in distributed systems, cloud infrastructure (AWS/GCP), and containerization technologies (Kubernetes/Docker).
  • Strong proficiency in languages such as Java, Go, or Rust, with a focus on high-performance computing.
  • Proven experience managing major software version releases and overseeing complex integration projects.
  • Experience with AI/ML infrastructure integration and data pipeline architecture.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Kubernetes Docker AWS Java Go Rust Microservices System Design Python Cloud Architecture DevOps CI/CD Kubernetes System Architecture 2026 Platform

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