Staff Software Engineer II - CI

About the Role

We are looking for an experienced Staff Software Engineer 2 to design develop and optimize highly scalable and distributed systems. The ideal candidate should have strong expertise in Java and Go along with deep knowledge of distributed computing principles cloudnative architectures and scalable backend services.

This role requires strong operational excellence ensuring system reliability scalability and observability while driving best practices in incident management performance tuning and automation. You will work closely with crossfunctional teams to build resilient highperformance applications. Experience with CI/CD pipelines DevOps practices and cloud platforms (AWS/GCP/Azure) will be a plus.

Key Responsibilities

System Architecture & Scalability

• Design & Build: Architect and develop scalable faulttolerant backend systems that handle millions of requests per second.
• Microservices Development: Implement microservices using Go Java or Python ensuring high availability and resilience.
• Cloud & Kubernetes: Deploy and manage applications on AWS GCP or Azure with Kubernetes (EKS GKE AKS).
• EventDriven Architectures: Work with Kafka Pulsar RabbitMQ for distributed
• messaging and streaming workloads.
• Develop observability logging and monitoring with Prometheus Grafana and OpenTelemetry.
• Troubleshoot complex issues in hightraffic productionscale environments.
• Mentor junior engineers and help define best coding practices architectural patterns and system design principles.

Operational Excellence & Incident Management

• Reliability & Resilience: Implement best practices for graceful degradation retries circuit breakers and autoscaling.
• Incident Response & OnCall Management: Define SLAs/SLIs/SLOs set up robust alerting & escalation processes for incident handling.
• Postmortems & RCA (Root Cause Analysis): Lead postincident analysis drive corrective actions and improve system reliability.
• Observability & Monitoring: Define and implement logging monitoring and distributed tracing using Prometheus OpenTelemetry Grafana Datadog.

Performance Optimization & Security

• Performance Tuning: Diagnose and optimize latency throughput and memory utilization for largescale distributed systems.
• Multithreading & Concurrency: Design and implement highly concurrent multithreaded backend services for parallel processing.
• Database & Storage Optimization: Improve performance of SQL (PostgreSQL MySQL) and NoSQL (Cassandra DynamoDB Redis MongoDB) solutions.
• Security & Compliance: Implement API security authentication authorization and ensure compliance with SOC2 ISO 27001 PCI DSS.

Leadership & Collaboration

• Mentorship & Code Reviews: Guide engineers in best practices for platform engineering microservices and distributed systems.
• CrossTeam Collaboration: Work with cloud engineering security and product engineering teams to align platform capabilities with business needs.

Key Qualifications

• 812 years of experience in backend platform engineering distributed systems and microservices.
• Strong programming expertise in Go Java or Python with a focus on multithreading and concurrency.
• Expertise in Kubernetes service meshes (Istio Linkerd) and cloud infrastructure.
• Deep understanding of gRPC REST APIs GraphQL and API performance tuning.
• Handson experience with CI/CD and infrastructure automation (Terraform Pulumi).
• Handson experience with Kubernetes Docker and Helm in cloud environments.
• Solid understanding of networking API gateways and authentication mechanisms (OAuth JWT gRPC REST GraphQL).
• Ability to debug and optimize highconcurrency lowlatency applications.
• Strong problemsolving and analytical skills in complex distributed environments.
• Proven ability to manage production incidents and other operational excellence practices.