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Principal Engineer - Java, Low-latency

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Wells Fargo

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Wells Fargo is seeking a Principal Engineer to provide deep technical leadership for the design, evolution, and modernization of our distributed, high‑performance compute platforms supporting mission‑critical risk computation. This role is pivotal in architecting next‑generation grid and distributed computing capabilities, optimizing compute‑intensive workloads, and ensuring our platforms scale reliably to support significantly larger data volumes, more complex calculations, and increasingly stringent SLA and regulatory requirements. The Principal Engineer will play a key role in enabling our transition toward cloud‑enabled, distributed risk computation frameworks while championing AI/GenAI‑driven solutioning across the platform.

Job Responsibility:

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
  • Provide architectural leadership for large‑scale, compute‑intensive risk platforms that are reaching the limits of existing designs and infrastructure
  • Define and evolve distributed, scalable, and resilient system architectures for high‑performance risk computation workloads
  • Lead performance engineering and optimization initiatives to improve throughput, reduce latency, and lower overall compute costs while meeting aggressive SLAs
  • Drive resiliency, availability, and fault‑tolerance improvements required for mission‑critical and regulator‑visible risk calculations
  • Establish technical ownership and accountability across multiple teams, enforcing consistent engineering standards and best practices
  • Act as a senior technical advisor across delivery teams, influencing design decisions and resolving complex cross‑cutting technical challenges
  • Partner with business, risk, and regulatory stakeholders to ensure platform capabilities align with evolving requirements
  • Lead and mentor senior engineers, fostering a culture of high engineering rigor, innovation, and continuous improvement
  • Champion strategic modernization initiatives, including cloud migration, distributed computation frameworks, and adoption of AI/GenAI/Agentic AI where applicable
  • Collaborate closely with infrastructure, DevOps, and SRE teams to ensure operational excellence, observability, and efficient incident response
  • Operate within an agile delivery framework, enabling rapid, high‑quality delivery of business outcomes
  • Own end‑to‑end technical design and quality for critical platform components
  • Drive results with a strong sense of urgency, bringing complex technical issues to resolution despite ambiguity or resistance
  • Proactively identify architectural risks, performance bottlenecks, and operational gaps, and define mitigation strategies
  • Partner with multiple teams to reduce defects, improve engineering consistency, and accelerate time to market
  • Provide hands‑on guidance during complex debugging, performance tuning, and production incidents
  • Demonstrate outstanding flexibility, collaboration, and leadership across diverse technical and non‑technical teams
  • Ensure adherence to agreed timelines, engineering standards, and regulatory expectations
  • Exhibit an impeccable sense of ownership and accountability for platform stability, scalability, and long‑term sustainability

Requirements:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Overall 15+ years of Software Engineering experience
  • Expert‑level proficiency in Core Java, including: Advanced multithreading and concurrency models, JVM internals, memory management, and JVM/GC performance tuning
  • Proven expertise in high‑throughput system design and performance engineering
  • Strong hands‑on experience with reactive and asynchronous programming models, including lock‑free and wait‑free data structures
  • Deep understanding of distributed systems, including: Akka Cluster management and coordination (desired), Designing for fault tolerance, scalability, and network partitions
  • Experience with event‑driven and messaging systems, such as: Kafka, JMS, Solace, Aeron, or MQ, especially for real‑time data processing and low‑latency use cases
  • Strong experience with distributed caching technologies, particularly Apache Ignite (desired)
  • Solid expertise in SQL and query optimization for high‑volume, compute‑heavy data workloads
  • Advanced knowledge of data structures, algorithms, and core computer science fundamentals
  • Working knowledge of computer networking concepts relevant to distributed systems
  • Experience working on Linux/Unix platforms in production environments
  • Familiarity with modern engineering and DevOps tooling (e.g., GitHub, Jenkins, UDeploy, CI/CD pipelines)
  • Strong proponent and practitioner of AI / GenAI / Agentic AI‑based solutioning, with the ability to identify and drive high‑value use cases
  • Prior experience in Capital Markets / Investment Banking, preferably in risk, trading, or regulatory platforms
  • Excellent communication, influencing, and stakeholder‑management skills
  • Flexibility in schedule as occasionally required for critical releases or incidents

Nice to have:

  • Akka Cluster management and coordination
  • Apache Ignite
  • Prior experience in Capital Markets / Investment Banking, preferably in risk, trading, or regulatory platforms

Additional Information:

Job Posted:
May 05, 2026

Expiration:
May 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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