Location: Pune, India (Work From Office)
Employment Type: Full-Time
Experience Level: Senior (10+ Years)
Department: Engineering
Role Overview
We are seeking a Senior SDET Performance Engineer to drive scalability, reliability, and performance validation across our cloud-native, microservices-based systems. In this role, you'll design and implement comprehensive performance testing strategies, build advanced automated frameworks, and partner with engineering, architecture, and SRE teams to ensure production-grade resilience. You'll leverage cutting-edge AI/ML techniques and observability tools to optimize system performance and predict potential bottlenecks before they impact users.
What You'll Do
- Design and implement end-to-end performance and load testing strategies for distributed microservices architectures, including load, stress, spike, endurance, and chaos testing scenarios
- Build custom simulators, traffic generators, and mocks for complex system dependencies, enabling realistic performance validation in isolated environments
- Develop fully automated performance test frameworks integrated into CI/CD pipelines (Jenkins, GitHub Actions, GitLab) with intelligent reporting and insights
- Define, measure, and track performance KPIs (latency, throughput, error rates, saturation, scalability limits) aligned with SRE principles (SLI/SLO, error budgets)
- Analyze and optimize bottlenecks across application, database, and infrastructure layers; tune Azure services (AKS, compute, storage, networking), Redis caching, database queries, and messaging systems
- Implement AI-driven observability using Prometheus, Grafana, Azure Monitor, and APM tools; leverage AI/ML for anomaly detection, predictive capacity planning, and automated root cause analysis
- Collaborate cross-functionally with architects, developers, product owners, and SRE teams to optimize system performance and drive resilience engineering initiatives
- Lead RCA efforts for performance issues and production incidents; contribute to capacity planning and scalability strategy
What We're Looking For
Required Experience & Skills:
- 10+ years in QA, development, automation, or performance engineering with demonstrated expertise in performance testing
- Strong hands-on experience with performance testing tools (K6, JMeter, Gatling) and custom framework development
- Proficiency in scripting languages (Python, C#, Java, or equivalent)
- Deep understanding of distributed systems, microservices architecture, and cloud-native design patterns
- Hands-on experience with Kubernetes (AKS preferred) and the Azure cloud ecosystem
- Strong knowledge of CI/CD, DevOps practices, and infrastructure-as-code (Terraform, Docker)
- Expertise in database performance tuning (PostgreSQL, MongoDB, MySQL, MariaDB)
- Solid understanding of SRE principles, observability, and monitoring tools
- Bachelor's degree in Computer Science or related field (or equivalent professional experience)
Nice to Have
- Experience with contact center or SaaS platforms
- Exposure to message brokers (Kafka, RabbitMQ)
- Knowledge of AIOps, AI-driven testing, and anomaly detection
- Experience building custom performance tools or simulators from scratch
- Familiarity with chaos engineering tools (Gremlin, Chaos Monkey)
- Experience with advanced observability platforms (Dynatrace, Datadog, New Relic)
- Background in machine learning or data science applied to performance engineering
What We Offer
- Competitive compensation and performance-based incentives
- Professional growth through exposure to cutting-edge AI/ML and cloud technologies
- Collaborative culture working alongside talented engineers, architects, and SRE teams
- Flexible work environment with work-from-office arrangement in Pune
- Career development opportunities in emerging areas like AIOps and AI-driven testing
- Impact-driven work on scalable, production-grade systems serving enterprise customers
About CODVO.AI
CODVO.AI is a forward-thinking technology company specializing in intelligent automation and cloud-native solutions. We empower organizations to build resilient, scalable systems through advanced testing, observability, and AI-driven engineering practices. Our team is passionate about innovation, quality, and delivering measurable business impact.
Work Arrangement: Work From Office | Shift: 9:30 AM - 6:30 PM IST | Days: 5 days/week | Engagement Type: Billable