Associate DevOps Engineer
LogicMonitor
| Company | LogicMonitor |
| Category | Engineering |
| Location | Pune |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 15 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Us:
We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.
This position is located in Pune. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
To learn more about life at LogicMonitor, check out our Careers Page .
What You'll Do:
LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise.
Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row!
To maintain operational uptime of all mission critical systems. To facilitate and automate operational tasks while also looking for ways to streamline and improve them. Work with developers in order to provide feedback to make the the product function better within the LM infrastructure. Develop TechOps skills to become a valuable member of the core LM Operations team.
Here's a closer look at this key role:
Help to maintain uptime of LogicMonitor's SaaS based service and implement technical/process enhancements to improve uptime
Deploy production applications
Help ensure the security of the production environment
Begin to write code to automate various aspects of infrastructure maintenance and and deployments
Support development and work closely with developers and more senior teammates to understand drivers of operational and architecture/design changes
Lead by example in providing good documentation and thorough Runbooks
Understand all aspects of LM Product
What You'll Need:
We are looking for a passionate and highly motivated Associate DevOps Engineer with 1-2 years of industry experience who is eager to build intelligent automation platforms powered by Generative AI and Agentic AI while strengthening our cloud infrastructure and DevOps ecosystem.
The ideal candidate should possess a strong software engineering mindset with excellent Python programming skills, hands-on experience with modern DevOps tools, Kubernetes, Infrastructure as Code (IaC), CI/CD pipelines, and automation. This role is ideal for engineers who enjoy solving operational challenges by combining AI capabilities with cloud-native technologies.
Required Technical Skills
1-2 years of hands-on experience in DevOps, Platform Engineering, or Cloud Engineering.
Strong programming skills in Python (mandatory).
Experience building automation tools and scripts using Python.
Good understanding of Generative AI concepts, LLMs, prompt engineering, embeddings, and AI-assisted workflows.
Exposure to Agentic AI frameworks or AI orchestration platform
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