Senior Software Engineer

Reposted 17 Days Ago
Easy Apply
Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Junior
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software
Hybrid Observability powered by AI
The Role
Design, build, and deploy AI-powered observability solutions using LLMs, NLP, generative AI, RAG, semantic search, and AI-driven analytics. Develop incident reports, root-cause explanations, remediation suggestions, and context-aware retrieval capabilities. Optimize models for scalable cloud-native deployment and collaborate with product, infrastructure, platform engineering, and data science teams.
Summary Generated by Built In

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 workload skew
    Concurrency and synchronization
    Idempotency and delivery guarantees
    State management and checkpointing
    Backpressure and load shedding
    Retries, recovery, and replay
    Memory, network, and serialization costs
  • Experience with distributed databases or large-scale state stores.
  • Strong testing, debugging, profiling, and production-diagnostics skills.
  • Experience operating containerized services in Kubernetes or a similar environment.
  • Ability to navigate unfamiliar systems and independently drive work from investigation through production delivery.
  • Strong written and verbal communication skills.

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

  • 2-3 years of experience in AI/ML engineering focused on generative AI, AI-driven automation, and NLP
  • Strong proficiency in Python, Java, or similar programming languages
  • Hands-on experience with LLMs, RAG, and prompt engineering
  • Familiarity with embedding-based search, semantic retrieval, and transformer models
  • Familiarity with microservices, REST APIs, and cloud platforms such as AWS, GCP, Kubernetes, and Docker
  • Strong problem-solving skills for developing AI-powered observability solutions
  • Excellent communication and cross-functional collaboration skills
  • Familiarity with observability, ITOps, or monitoring platforms

What the Team is Saying

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LogicMonitor Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is presented as comprehensive, spanning medical, dental, vision, and mental‑health resources such as Calm and an Employee Assistance Program. These offerings are consistently highlighted across company materials and third‑party profiles.
  • Leave & Time Off Breadth — Time‑off programs feature unlimited vacation for North America alongside dedicated sick/personal days and volunteer time off. This structure signals strong support for work‑life balance beyond standard PTO banks.
  • Parental & Family Support — Support includes paid parental leave for birth, non‑birth, and adoptive parents plus family‑building resources through Maven covering fertility, parenting/pediatrics, and menopause. The breadth of family‑oriented benefits stands out within the described package.

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The Company
HQ: Santa Barbara, CA
1,100 Employees
Year Founded: 2007

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.

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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.

Typical time on-site: Flexible
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HQSanta Barbara, CA
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