Senior Performance Engineer

Checkmarx • Pune, Maharashtra, India • 5d ago

Why This Job is Featured on The SaaS Jobs

Modern SaaS platforms increasingly live or die on reliability under load, and this Senior Performance Engineer role sits directly in that reality. The listing points to a cloud native, microservices based product surface running on Kubernetes and AWS, where performance validation is not a one off exercise but an ongoing engineering discipline. In an application security context, resilience and scalability are especially visible because enterprise deployments tend to amplify edge cases and extreme workloads.

From a SaaS career perspective, the work described builds durable expertise in how subscription software behaves in production like environments. Designing automated load and endurance frameworks in Python, pairing test design with observability signals, and tracing bottlenecks across distributed systems are skills that transfer across most serious SaaS engineering orgs. The emphasis on dashboards, monitoring, and cross functional debugging also develops the systems thinking that becomes increasingly valuable as products add services and customer usage patterns diversify.

This role tends to suit engineers who prefer evidence driven problem solving and enjoy turning ambiguous performance symptoms into measurable hypotheses. It also fits someone comfortable operating across QA, DevOps, and architecture boundaries, and who wants hands on ownership of tooling and analysis rather than focusing solely on feature delivery.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

Job Description

Senior Performance Engineer

Research & Development
India - Pune
Senior
Full time
ID: P1139

Description

Who are we?

Checkmarx is the AI-powered application security leader helping the world’s most security- conscious enterprises secure the software that powers modern life. For more than two decades, our unified platform and services have helped organizations protect human- and AI- generated code from the first line through runtime, reducing risk across applications, cloud, and the software supply chain without slowing innovation.

We’re trusted by 1,600+ customers in 70+ countries, including some of the largest enterprises and governments in the world. Guided by research-led innovation and a developer-first mindset, we help every developer, security team, and enterprise build software that is risk-free by design.

What are we looking for?

We are looking for a hands-on Senior Performance Engineer to join our Automation Platform Engineering team.

This role focuses on validating the performance, scalability, and resilience of our products under real-world and extreme workloads. You will play a key role in designing, developing, and maintaining performance testing frameworks, creating realistic load, stress, and endurance scenarios, analyzing system behavior, and identifying performance bottlenecks in microservices-based, Kubernetes, and cloud-native environments.

Working closely with Development, DevOps, and Architecture teams, you will help ensure our products meet the highest standards for performance, reliability, and scalability.

This is an excellent opportunity for someone who enjoys solving complex performance challenges, working with modern technologies, driving automation, and promoting performance excellence across large-scale enterprise applications.

How will you make an impact?

In this role, you will be responsible for:

Designing and automating complex performance, load, stress, and endurance test scenarios using Python and pytest
Developing load generators, stress tools, and performance analysis utilities
Building and maintaining performance dashboards, monitoring, and alerting solutions
Analyzing application and infrastructure performance to identify bottlenecks and optimization opportunities
Investigating and troubleshooting performance issues across distributed systems
Researching, evaluating, and implementing new performance testing techniques and tools
Collaborating closely with Development, DevOps, and Architecture teams to improve product performance, scalability, and reliability

Requirements

What is needed to succeed?

Required qualifications

4–6 years of experience in performance, load, and stress testing within Kubernetes and cloud-native environments
4–6 years of hands-on Python development experience
Strong Linux troubleshooting and debugging skills
Hands-on experience with Kubernetes, including debugging pods, nodes, deployments, jobs, and cluster resources
Practical experience with AWS, including EC2, VPC/networking concepts, and EKS
Experience automating performance testing using Python and test frameworks such as pytest
Experience leveraging AI tools and LLM-based applications as part of day-to-day QA and engineering workflows
Strong analytical and problem-solving skills with a debugging-oriented mindset
Ability to work independently, take ownership, and drive issues through to resolution
Strong communication and collaboration skills

Desired qualifications

Familiarity with MongoDB
Experience with Playwright
Familiarity with Metabase
Familiarity with Kubernetes internals (resource management, networking, scheduling, events, etc.)
Experience with observability tools such as Groundcover, Lens, Prometheus, Grafana, or similar platforms
Experience with Argo CD
Understanding of software testing principles and the software development lifecycle (SDLC)

What we have to offer

Checkmarx offers a collaborative and innovative work environment, professional development opportunities, challenging career paths, competitive compensation, excellent work-life balance, and outstanding benefits and perks throughout the year.

Checkmarx is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, or any other characteristic protected by applicable law.