Software Developer - Senior Consultant Level, Middleware Reliability Engineering

Visa Visa · Fintech · Bengaluru, India, IN

Software Developer for Middleware Reliability Engineering team focused on enhancing observability, migrating to ELK, integrating with AI/ML frameworks for operational support, implementing OpenTelemetry, and designing cloud observability strategies for middleware services. Requires strong Python for automation and expertise in middleware technologies, with a focus on reliability and performance.

What you'd actually do

  1. Lead the review and enhancement of our observability strategy for the middleware portfolio, integrating with Prometheus, Grafana, and Splunk to ensure comprehensive coverage and effectiveness
  2. Play a key role in our migration from Splunk to ELK stack, ensuring seamless transition and improved functionality
  3. Develop and maintain integrations with internal AI ML frameworks to enhance operational support and incident response
  4. Evaluate opportunities and implement OpenTelemetry (OTEL) across our middleware stack
  5. Design and implement observability strategies for middleware products deployed on public cloud platforms (AWS, Azure, GCP)

Skills

Required

  • 10+ years of relevant work experience with a Bachelor’s Degree or at least 8 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 10+ years of relevant work experience.

Nice to have

  • 5+ years of experience working with observability solutions (Prometheus, Grafana, Splunk, ELK)
  • Strong Python coding experience for developing automation tools and integrations
  • Working knowledge of middleware products (e.g., Tomcat, Apache, JBoss, Hazelcast, IBM DataPower)
  • Experience with monitoring and logging infrastructure design and implementation
  • Familiarity with public cloud platforms (AWS, Azure, GCP) and their monitoring capabilities
  • Understanding of infrastructure-as-code principles using tools like Terraform or Ansible
  • Experience with CI CD pipelines and practice
  • Experience with OpenTelemetry (OTEL) implementation
  • Knowledge of AI ML integration for operational tooling
  • Experience with containerization technologies (Docker, Kubernetes)
  • Background in Site Reliability Engineering or similar operational roles
  • Experience with middleware performance tuning and optimization
  • Understanding of security best practices for middleware components
  • Problem-Solving Excellence
  • Automation Mindset
  • Continuous Learning
  • Collaborative Approach
  • Operational Focus
  • Adaptability

What the JD emphasized

  • AI ML integration
  • operational support
  • incident response
  • observability strategy
  • middleware infrastructure
  • Always On availability

Other signals

  • integrations with internal AI ML frameworks
  • enhance operational support and incident response
  • AI ML integration for operational tooling