Tech Lead, Systems Engineering

Fiserv

Not specified (assumed hybrid based on industry standards)
5+ years devops or sre experience
Deep aws cloud platform knowledge
Terraform infrastructure as code
Fiserv is seeking a Tech Lead in Systems Engineering to enhance their global payment gateway platform's reliability, scalability, and security. The role requires extensive DevOps experience, particularly with AWS and CI/CD pipelines, and involves mentoring junior engineers while fostering a culture of continuous improvement

Job Summary

  • This role ensures the reliability, scalability, and security of a globally distributed, high-availability payment gateway platform operating 24/7.
  • The successful candidate will lead by example to foster a culture of continuous learning while mentoring junior DevOps engineers.
  • You will apply GenAI tools and leverage ML/NLP automation to optimize workflows, testing, and product development within a regulated fintech environment.

Matching Summary

Match Score: 85

Fiserv is seeking a Tech Lead in Systems Engineering to enhance their global payment gateway platform's reliability, scalability, and security. The role requires extensive DevOps experience, particularly with AWS and CI/CD pipelines, and involves mentoring junior engineers while fostering a culture of continuous improvement.

Skills & Requirements

Must-have

  • 5+ years DevOps or SRE experience
  • Deep AWS cloud platform knowledge
  • Terraform infrastructure as code
  • GitLab CI pipeline maintenance
  • Kubernetes and Helm expertise
  • Python programming for automation

Nice-to-have

  • Experience with PI Planning process
  • Background in payments or banking
  • Agile development environment experience
  • Multi-locational matrix organization work
  • AI-assisted development skills
  • Ethical AI usage governance

Key Requirements

  • BE/BTech, ME/MTech in Computer Science or equivalent
  • 5+ years in DevOps or Site Reliability Engineering roles
  • Hands-on deep learning projects delivered to production
  • Strong Python skills with PyTorch and/or TensorFlow
  • Experience deploying ML services on major cloud providers

Work Rights

Not specified

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