Tech Lead, Software Development Engineering(Java, Spring, Microservices, API)

Responsibilities

• Contribute significantly to designing, implementing, enhancing, and documenting observability solutions using tools such as Dynatrace, Prometheus, Grafana, OpenTelemetry, ELK, or Splunk.
• Develop and maintain end to end telemetry pipelines for metrics, distributed traces, logs, and events across applications, microservices, and infrastructure.
• Work within an agile delivery framework to deliver accurate estimates and high quality deliverables for observability and reliability initiatives.
• Support architectural direction, technical design, and end to end delivery of observability platforms, APIs, and integrations. Enable distributed tracing, service dependency mapping, and topology visualization for microservices and cloud native applications.
• Design and maintain alerting, SLI/SLO, and error budget frameworks aligned with SRE best practices. Leverage AI driven analytics (e.g., anomaly detection, noise reduction, automatic root cause analysis) to improve operational efficiency.
• Participate in full lifecycle development, including unit testing, system integration, performance validation, and production readiness.
• Contribute to IaC driven and pipeline based automation for observability configuration and onboarding.
• Partner with developers, architects, SREs, and platform teams to identify gaps in visibility and translate reliability goals into technical solutions.
• Support production services through monitoring, debugging, incident response, post incident analysis, and continuous improvement.
• What You Need to Have
• 10+ years of experience in software development and platform engineering across all phases of the SDLC.
• Strong hands on experience with observability and monitoring platforms (Dynatrace, Prometheus, Grafana, ELK, Splunk, Datadog, or similar).
• Solid expertise in Java and the Spring ecosystem (Spring Boot, Spring Actuator, Spring Integration).
• Strong understanding of microservices architecture, RESTful APIs, and OpenAPI specifications.
• Hands on experience with OpenTelemetry, distributed tracing, metrics instrumentation, and log correlation.
• Experience designing alerting strategies, SLOs/SLIs, and incident response workflows.
• Ability to apply AI enabled engineering tools for faster troubleshooting, dependency analysis, test generation, and documentation.
• Strong analytical, communication, and problem solving skills to simplify and resolve complex production and reliability challenges.
• Comfortable using GenAI tools (Copilot / ChatGPT Enterprise) to boost engineering productivity
• What Would Be Great to Have
• Experience in Payments or Financial Services.
• Development experience with JavaScript.
• Exposure to identity governance concepts, RBAC and entitlement models.
• Experience using AI/ML insights for anomaly detection, access pattern analysis, or policy optimization.
• Thank you for considering employment with Fiserv. Please:
• Apply using your legal name
• Complete the step-by-step profile and attach your resume (either is acceptable, both are prefer

Additional Information

Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Tech Lead, Software Development Engineering(Java, Spring, Microservices, API) What does a successful Senior Developer do at Fiserv? A successful Observability Tech Lead designs, develops, and operates enterprise grade observability platforms and capabilities that provide deep visibility into application, infrastructure, and business performance. They build and enhance metrics, logs, traces, events, and topology intelligence using platforms such as Dynatrace, Prometheus, Grafana, Open Telemetry, ELK, or Splunk. They work within agile delivery teams to deliver scalable, resilient, and compliant observability solutions, enabling faster detection, root cause analysis, and remediation of production issues. They actively adopt AI assisted engineering to accelerate development, troubleshooting, documentation, and operational insights.

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