Software Engineer, LogicMonitor
Artificial Intelligence
$120.2-165.3k
Hybrid observability powered by AI
Open for applications
Hybrid observability powered by AI
1001+ employees
Open for applications
$120.2-165.3k
1001+ employees
Company mission
To expand what’s possible for businesses by advancing their technology.
Role
Who you are
- 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
What the job involves
- 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
- 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
Application process
- Anticipated Application Close Date: 01/07/25
Our take
As businesses shift from reactive to proactive monitoring, there is a need for tools which empower them to make predictions and solve problems before they start. This is what LogicMonitor supplies, through an observability platform for hybrid environments.
The company's extensive product suite encompasses monitoring of all sorts, including but not limited to network, virtual machine, database, container and SaaS. Each service supplies real-time insights and automated monitoring, with agentless architecture.
LogicMonitor is held in high regard by the industry, evidenced by its being named in the Visionary quadrant of the Gartner Magic Quadrant 2024. It has also seen significant funding which will support further development and growth for the business.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Nov 2024
$400m
GROWTH EQUITY VC
Jun 2016
$130m
GROWTH EQUITY VC
Total funding: $543m
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Board Member at Rapid7 and Founding LP at Operator Collective. Was also a Board Member at Poema Global, and CCO, VP and Global Head of Customer Success at Slack.
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