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!
Here's a closer look at this key role:
- Design and build streaming and batch data pipelines that process metrics, logs, and events for AI workflows.
- Develop ETL and feature‑extraction pipelines using Python and Java microservices.
- Integrate data ingestion and enrichment from multiple observability sources into AI‑ready formats.
- Build resilient data orchestration using Kafka, Airflow, and Redis Streams.
- Develop data indexing and semantic search for large‑scale observability and operational data.
- Work with structured and unstructured data lakes and warehouses (Delta Lake, Iceberg, ClickHouse).
- Collaborate with the AI Platform team to manage embeddings, metadata, and model context storage.
- Optimize latency and throughput for retrieval, query expansion, and AI response generation.
- Build and maintain Java microservices (Spring Boot) that serve AI and analytics data to Edwin and AIOps applications.
- Develop Python APIs (FastAPI / LangGraph) for LLM orchestration, summarization, and correlation reasoning.
- Implement schema contracts and streaming protocols (REST, gRPC, SSE, WebSockets) between services.
- Ensure fault‑tolerant, observable, and performant API infrastructure.
- Instrument services with OpenTelemetry for unified metrics, tracing, and logging.
- Implement data validation, schema evolution, and lineage tracking across AI pipelines.
- Enforce data privacy, RBAC, and compliance for model inputs and stored context.
- Collaborate with SRE and AI teams to monitor and optimize end‑to‑end AI system performance.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 4-5 years of experience in backend or data systems engineering.
- Experience building streaming data pipelines (Kafka / Spark or any similar technology).
- Strong programming background in Java and Python, including microservice design.
- Experience with ETL, data modeling, and distributed storage systems.
- Familiarity with LLM pipelines, embeddings, and vector retrieval.
- Understanding of Kubernetes, containerization, and CI/CD workflows.
- Awareness of data governance, validation, and lineage best practices.
- Strong communication and collaboration across AI, Data, and Platform teams.
Click here to read our International Applicant Privacy Notice.
LogicMonitor is an Equal Opportunity Employer
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.
For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Notice Regarding Use of AI in Hiring
We use artificial intelligence tools to assist with reviewing job applications, such as matching skills and experience to job requirements. These tools support, but do not replace, human review. All hiring decisions are made by our recruiting and hiring teams. You may opt out of AI processing at any time, and your application will still be reviewed. To opt out, please contact us at [email protected].
By submitting your application, you acknowledge this notice.
Our goal is to ensure an accessible and inclusive experience for every candidate.
If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form.
Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, or related field
- 4-5 years of experience in backend or data systems engineering
- Experience building streaming data pipelines (Kafka, Spark or similar)
- Strong programming background in Java and Python, including microservice design
- Experience building and maintaining Java microservices with Spring Boot
- Experience developing Python APIs using FastAPI or LangGraph
- Experience with ETL, feature extraction, data modeling, and distributed storage systems
- Familiarity with LLM pipelines, embeddings, and vector retrieval/semantic search
- Experience with data orchestration and streaming frameworks (Airflow, Redis Streams)
- Experience with data lake/warehouse technologies (Delta Lake, Iceberg, ClickHouse)
- Understanding of Kubernetes, containerization, and CI/CD workflows
- Experience implementing schema contracts, data validation, schema evolution, and lineage tracking
- Instrumenting services with OpenTelemetry for metrics, tracing, and logging
- Knowledge of streaming and service protocols (REST, gRPC, SSE, WebSockets)
- Awareness of data governance, privacy, RBAC, and compliance for model inputs and stored context
- Strong communication and collaboration skills across AI, Data, and Platform teams
What the Team is Saying
LogicMonitor Compensation & Benefits Highlights
-
Healthcare Strength — Multiple medical, dental, and vision options are described alongside mental-health resources such as Calm and an Employee Assistance Program. The availability of HSA/FSA options and broad coverage signals a competitive core health offering.
-
Leave & Time Off Breadth — Unlimited PTO in the U.S., supplemented by separate sick/personal time and paid volunteer time, is highlighted as a key part of the package. Feedback suggests this is viewed as a premium perk when team norms support real usage.
-
Parental & Family Support — Robust parental leave for all parents is emphasized together with fertility and family-planning support via Maven and adoption assistance. These family-oriented add‑ons are positioned as not universal across similarly sized tech firms.
LogicMonitor Insights
What We 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. For more information, visit www.logicmonitor.com and our blog, or follow us on LinkedIn, X, Facebook, and YouTube.
Why Work With Us
We love going to work and think you should too. We are customer-obsessed, work as one agile team, and strive to be better every day while building trust. These are our core values. So it's no surprise that we work hard and genuinely have fun working with each other as we expand our global presence and achieve record-breaking success.
Gallery
LogicMonitor Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We call our offices Centers of Energy, because they’re where we accelerate work, spark creativity, and ignite our culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
