Job Description

• Bangalore Urban, Karnataka, India

Be part of something revolutionary

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet.

But we also have a vision for our people. We want the most talented, committed and driven people to power our transformative approach. In return, we’ll provide a nurturing environment where you can be a part of something special.

About the role...

Our QA team members actively participate and contribute for a full product life cycle process in an agile environment. And work in a fast paced, multi team and multi project environment.

What you’ll do for us…

• Provide technical assistance to improve system performance, capacity, reliability and scalability
• Identify Performance Bottlenecks and develop enhancements
• Work closely with the architects to gather non-functional requirement from stakeholders, preparing test plan and relevant docs, effort estimation and developing test scripts for complex applications
• Participate in architectural discussions, working closely with developers, business and clients in a highly collaborative and Agile environment
• Derive different workload models for load, stress and scalability while analyzing usage patterns from production logs
• Provide recommendations to optimize code based on results of analysis of results and monitoring
• Design performance automation techniques across the technology stack
• Develop new ideas/strategy/approach to continuously improve the process of performance engineering

What you’ll have…

• Experience: Performance Test Engineer with 5-10 years full time experience using Jmeter. Must be able to code in Java/Python and should have experience in writing stubs/scripts on a large scale implementation(500k – 1 million) preferably in .NET environment. Usage and knowledge of performance monitoring in-built tools viz. Perfmon, .NET CLR Tools, Visual Studio Concurrency Analyzer, Perfview
• Thorough Understanding of distributed system architecture which includes memory management and fragmentation behaviors, profiling(JetBrains, Visual Studio or similar), server and client performance testing
• Should have been involved in performance engineering exercises which include identification of bottlenecks including but not limited to memory leaks, chasing leaks, dominate trees, CPU utilization(Intel VTune Amplifier or similar), database tuning(SQL and NoSQL databases), GC pressure, optimization for heap graphs and heap sampling, synchronous and asynchronous event handling, circuit breaker pattern, concept of service mesh, service discovery and distributed tracing
• Experience in .NET applications and performance tuning
• Experience in containerization
• Experience in container management
• Skills: Good Understanding of Cloud Architecture specifically on AWS and/or Azure and/or Google Cloud and capacity planning of the Infra. Should be aware of various load balancers, security groups, setting up infrastructure across Availability Zone and across regions.
• Very good understanding of performance testing microservices architecture with middleware technologies for data integration. Performance testing of distributed systems with message brokers, Ingress and API Gateway
• Should have been involved in High Availability and Resilience testing( tools like Chaos Monkey) across the entire Infra stack
• Should be able to script ground up with service definitions, should have used tools such as Fiddler, Wireshark for web debugging and network analyzing
• Should have used any open source Performance logging, alerting and monitoring tools and stacks viz. ELK, Prometheus, Grafana, Nagios, App Dynamics(desirable but not mandated)
• Should have used Continuous Integration tools viz. Jenkins(desirable) to schedule automated execution
• We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function