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Position Summary
Harness Software Engineering Insights helps engineering leaders unlock metrics and insights to understand bottlenecks in their SLDC and drive efficiencies. It connects to 40+ SDLC tools and correlates data from these different tools to surface insights and metrics. It ingests and analyzes data from these SDLC tools and offers the box widget to serve insights into surface bottlenecks. The product provides additional customization to accommodate an enterprises software engineering workflow.
This is an opportunity to lead a high-growth team at a high-growth company.
Key Responsibilities
About You
Experience:
Technical Expertise:
Leadership Skills:
Harness is a rapidly growing startup that is disrupting the software delivery market. The Harness Software Delivery Platform includes product modules for every aspect of software delivery, including: Continuous Integration, Continuous Delivery, Feature Flags, Cloud Cost Management, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights, Continuous Error Tracking, Code Repository, Internal Developer Portal, Software Supply Chain Assurance, Infrastructure as Code Management and AI/ML infused throughout with AI Development Assistant (AIDA). The platform is designed to help companies accelerate their cloud initiatives as well as their adoption of containers and orchestration tools like Kubernetes and Amazon ECS and make software delivery easier, giving devs their nights and weekends back.
Job ID: 129358211
Skills:
Continuous Integration, Automated Testing, Microservices, Azure, Generative AI, multi-agent orchestration, model validation pipelines, Google Cloud AI Platform, observability tools, Agentic AI, Robust Agentic Engineering frameworks, GenAI applications, AI governance, responsible AI practices, AI frameworks, data flows
Skills:
Java, C, Cassandra, Saas, Microservices, React, Backbone Js, Agile, Kubernetes, Python, Golang, AI tools, Playwright, Cloud Distributed Systems
Skills:
Java, C, Cassandra, Saas, Microservices, React, Backbone Js, Agile, Kubernetes, Python, Golang, AI tools, Playwright, Cloud Distributed Systems
Skills:
Continuous Integration, Microservices, Automated Testing, Azure, AI frameworks, data flows, Agentic AI, Agentic Engineering, Google Cloud AI Platform, Generative AI, AI evaluation
Skills:
bedrock , Json, Nosql, Lambda, Python, Api Gateway, Dynamodb, Sql, Jenkins, Xml, Rest Apis, LangGraph, high-performance large-scale AI ML systems, cloud-native architectures, ChromaDB, LangChain, CrewAI, AWS ML services, Generative AI, AI model risk management, PGVector, prompt engineering, SageMaker, FAISS