Senior Software Engineer

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 advancing observability through AI‑driven data intelligence, connecting massive telemetry streams with the reasoning capabilities of large language models.

We are seeking a senior backend or data engineer to design, build, and operate reliable distributed data-processing systems.

The ideal candidate combines strong software-engineering fundamentals with production experience in streaming, distributed computation, stateful processing, and data-intensive services. This person should be comfortable owning ambiguous technical problems and delivering production-ready solutions with minimal oversight.

This is an engineering role focused on scalable systems supporting data and machine-learning workloads. It is not primarily a data science or ML research position.

Here’s a closer look at this key role:

• Design and implement scalable distributed services and data-processing pipelines using Spark (scala/pyspark).
• Build reliable batch and streaming systems with predictable latency and throughput.
• Develop high-quality Python services and contribute to JVM-based systems when needed.
• Improve system performance, reliability, observability, and operational efficiency.
• Design safe state-management, retry, recovery, and replay mechanisms.
• Implement idempotent processing and well-defined consistency guarantees.
• Evaluate distributed frameworks and make pragmatic architectural decisions.
• Diagnose production issues involving latency, resource pressure, data skew, concurrency, or inconsistent state.
• Establish meaningful service-level indicators and capacity-planning practices.
• Build automated unit, integration, performance, and failure-recovery tests.
• Lead technical designs and migrations for complex platform components.
• Write clear design documents, operational runbooks, and implementation plans.
• Review code and mentor engineers in distributed-systems practices.
• Collaborate with backend, ML, data, infrastructure, and product teams.
• Participate in operational support and continuously improve production readiness.

What You’ll Need:

• Strong professional experience building production backend, data-platform, or distributed-processing systems especially Spark/ pyspark.
• Advanced Python/ Java software-engineering skills.
• Experience with at least one distributed processing framework such as Spark (preferred), Ray, Flink, or Databricks platform.
• Experience with Kafka or another distributed event-streaming platform.
• Strong understanding of:

Distributed-system failure modes

Data partitioning and wor…