Tech Lead Software Engineering Senior Advisor II

Fiserv

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Berkeley Heights, NJOmaha, NEWilmington, DE
Salary
$186,000–$285,600 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $236k
$124k most similar roles pay here $303k

This role pays more than 84% of similar roles. Most pay $152,150–$223,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 87 open roles on FindRole.

Listed pay typically runs $115,000–$192,000 across 56 roles with salary data.

Most-posted roles

View all roles at Fiserv

At a glance

TL;DR · Tech Lead Software Engineering Senior Advisor II

As a Tech Lead Software Engineering Sr Advisor II, you will join the Issuer Solutions team to design, develop, and maintain software applications while establishing engineering standards for code quality, architecture patterns, and CI/CD pipelines. You will conduct solution architecture reviews and provide technical guidance to teams building with Java, Spring Boot, .NET, Angular, Python, and related technologies. Your role involves creating reusable patterns, prototyping solutions, and championing the adoption of artificial intelligence-assisted engineering workflows to improve delivery throughput. You will work within cloud-native environments using Kubernetes, OpenShift, Docker, AWS, Azure, or GCP, while managing relational and NoSQL databases. The position focuses on solving complex technical challenges and improving software quality across the portfolio by translating enterprise platform, security, and AI guidance into actionable practices for engineering teams in a financial technology context.

What you'll do

  • Define and evolve engineering standards for code quality, architecture patterns, CI/CD, and application security.
  • Conduct solution architecture reviews, code reviews, and design consultations for multi-language development teams.
  • Create reusable patterns, reference implementations, and technical decision frameworks to ensure consistency across the portfolio.
  • Translate enterprise platform, cloud, and AI guidance into actionable engineering practices for delivery teams.
  • Champion and measure the impact of artificial intelligence-assisted engineering workflows and developer tools.
  • Prototype solutions, build internal tools, and contribute to critical-path code to resolve complex technical challenges.
  • Identify systemic quality issues across the portfolio to improve defect rates and production outcomes.
  • Deliver technical training and mentoring to strengthen architectural thinking and AI fluency among engineers.

What we're looking for

  • You must possess valid and unrestricted U.S. work authorization.
  • A Bachelor's degree or higher in computer science, software engineering, information technology, or a related field is required.
  • You need 10+ years of experience in software engineering, including designing and supporting enterprise applications across modern stacks.
  • You need 8+ years of experience with Java, Spring Boot, Azure, AWS, and other enterprise frameworks for microservices and REST APIs.
  • You need 4+ years of experience building and maintaining CI/CD pipelines and DevOps practices using tools like GitLab CI or Jenkins.
  • You need 4+ years of experience in cloud-native and containerized environments using Kubernetes, OpenShift, Docker, AWS, Azure, or GCP.
  • You need 4+ years of experience using relational and NoSQL databases in enterprise application environments.
  • Experience adopting and scaling artificial intelligence-assisted development tools to improve engineering outcomes is required.

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