Top Tech Jobs & Startup Jobs in Delhi

Develop and maintain scalable, multi-process Python software for IT monitoring. Responsibilities include refining requirements, implementing features in Python, PHP, and MySQL, troubleshooting performance issues, writing unit tests, reviewing code, demonstrating functionality, and contributing to reliable, high-performance systems. The role also involves working with Product Management and applying CI/CD, DevOps, Agile, and software lifecycle practices.

Develop and maintain scalable C/C++ agents for Windows and Linux that collect, manipulate, and monitor host data. Lead requirements reviews, architecture decisions, feature implementation, defect resolution, code reviews, and feature demonstrations. The role involves remote patch deployment, REST integrations, multithreaded software, MySQL development, distributed systems, CI/CD, DevOps, and reviewing AI-generated code while ensuring performance, reliability, and maintainability.

Develop and maintain network inventory, monitoring, and topology features for the Skylar One platform. Troubleshoot Python and MySQL performance issues, implement backend features in Python, PHP, and MySQL, write unit tests, and support scalable multithreaded or multiprocess services. Collaborate with Product Management and engineering teammates while applying networking fundamentals, automation practices, software development lifecycle standards, and high-availability architecture principles.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

Build and maintain lab environments and CI/CD pipelines for the Skylar AI platform. Create automated end-to-end tests, simulate user journeys and telemetry, validate integrations and performance, manage versioning and rollback tests, support data generation, and document environments. Partner with product, data science, QA, and engineering to ensure reliable monthly updates and platform availability.