Software Engineer - AI

LogicMonitor; Bengaluru; In loco; INR 2.000.000 - 4.000.000; Tempo pieno

Descrizione del lavoro

LogicMonitor in Bengaluru, India, is hiring a Software Engineer at the intersection of backend systems and data engineering. You will design and operate streaming and batch data pipelines powering Edwin AI, Dexda, and other AIOps products.

The role emphasizes scalable data infrastructure, AI-ready data, and robust API services. You will build Java microservices and Python APIs for LLM orchestration, ensure data privacy and governance, and collaborate across AI, Data, and Platform teams to

Competenze

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 3+ 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.

Mansioni

• Design and build streaming and batch data pipelines for AI workflows.
• Develop ETL and feature extraction pipelines using Java and Python microservices.
• Integrate data ingestion and enrichment from multiple sources into AI-ready formats.
• Build resilient data orchestration using Kafka, Airflow, and Redis Streams.
• Implement retrieval-augmented generation (RAG) pipelines with vector databases.
• Develop data indexing and semantic search for large-scale observability data.
• Work with data lakes and warehouses (Delta Lake, Iceberg, ClickHouse).
• Collaborate with AI Platform team to manage embeddings and model context storage.
• Optimize latency and throughput for retrieval, expansion, and AI response generation.

Conoscenze

Java

Python

Microservices

Kafka

Spark

ETL

Data modeling

Distributed storage

LLM pipelines

Embeddings

Vector retrieval

Kubernetes

CI/CD

Data governance

Communication

Formazione

Bachelor’s degree in Computer Science

Strumenti

Kafka

Spark

Descrizione del lavoro

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 Bangalore. You'll be working in a major tech center of Bangalore, 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! LogicMonitor is redefining observability through Edwin AI, our GenAI-powered AIOps platform that helps engineering and operations teams understand, investigate, and resolve issues faster across complex hybrid environments. Edwin AI brings together telemetry, topology, alerts, metrics, logs, traces, incidents, and operational context with the reasoning capabilities of large language models. LogicMonitor is advancing observability through AI-driven data intelligence, connecting massive telemetry streams with the reasoning capabilities of large language models. We’re looking for a Software Engineer who sits at the intersection of backend systems and data engineering, capable of building scalable data pipelines, APIs, and retrieval frameworks that fuel Edwin AI, Dexda, and other AIOps products. You’ll design, build, and optimize the data infrastructure that makes GenAI-powered insights reliable, explainable, and real-time.

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.
• Implement retrieval-augmented generation (RAG) pipelines with vector databases (Milvus, Qdrant, OpenSearch, Neo4j Vector).
• 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.

What You’ll Need

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 3+ 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.

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 [e-mail].

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.