Software Engineer – Backend (Python)

Software Engineer Backend (Python)

Experience: 4+ years

Location: Remote

• Role OverviewWe are looking for a skilled Backend Software Engineer (Python) to design, build, and scale backend services focused on log query discovery, execution, and observability platforms.
• The role involves working with distributed log systems, Splunk integrations, and high-performance APIs in a microservices environment.
• Core ResponsibilitiesDesign and develop RESTful APIs using Flask for log query discovery and execution.
• Integrate backend services with Splunk APIs across multiple distributed log layers.
• Implement query validation, access control, and workload analysis mechanisms.
• Build secure service-to-service authentication using shared secrets and JWT.
• Enable parallel query execution and aggregate responses efficiently.
• Ensure performance, reliability, and scalability of backend services.
• Collaborate with platform and infrastructure teams for deployment and observability.
• Required Technical SkillsPython 3.9+ with strong experience in the Flask framework.
• Hands-on experience with Splunk Query Language (SPL) and Splunk SDK for Python.
• Experience working with log databases and S3 / object storage systems.
• Solid understanding of distributed systems (e.g., Spark, Flink, Kubernetes).
• Strong knowledge of RESTful API design and microservices architecture.
• Experience writing unit and integration tests using Pytest.
• Containerization and orchestration using Docker and Kubernetes (Helm).
• Nice-to-Have SkillsAdvanced Splunk expertise, including index management and retention policies.
• Experience with alternative log/observability stacks such as:
• Elastic / ELK, ClickHouse, TIG/TICK, or OpenSearch
• Exposure to platform engineering and observability frameworks.
• Hands-on experience in distributed computing environments.
• Familiarity with tools such as Whisper, Mosaic, and Rio.
• What We OfferOpportunity to work on large-scale distributed systems.
• Exposure to modern observability and platform engineering practices.
• Collaborative and high-impact engineering environment.