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The Harness Engineering team is seeking a Principal Engineer to lead complex cross platform initiatives and lead technical projects across geographies. Principal Engineers are recognized experts in Harness technology domain, and represent the senior technical leadership within their organization. Principal Engineers carry the responsibility of steering the course for their organizational segment, partnering with senior leadership, prioritizing initiatives to achieve a range of objectives.
Principal Engineers at Harness
Poses a careful blend of domain specific engineering expertise and world class technical leadership. There are a number of competencies that a Principal Engineer must display.
Responsibilities
Requirements
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: 129358175
Skills:
Java, Devops, Build Tools, Maven, Teamcity, Bash, Python, Pipelines, Linux System Engineering, make
Skills:
Distributed Systems, Data Structures, Multithreading, Devops, React, Algorithms, Agile Development, Asynchronous programming, Docker, Kubernetes, Python, Infrastructure as Code, GraphQL APIs, AI Coding Assistants, Object-Oriented Programming
Skills:
model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, live traffic sampling, real-time performance monitoring, offline test sets, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, observability tooling, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification
Skills:
Gatling, Cassandra, Sql, Python Scripting, Jmeter, Openshift, Loadrunner, Kubernetes, SQL Server Query Store, k6, Locust, Postgres pg profile, Linux command line, Tanzu, Java memory management, Oracle AWR, CI/CD pipelines, Scylla
Skills:
Dlp, cloud-native distributed systems, CASB, malware protection, SaaS security, AI-assisted intelligence, AI or machine-learning capabilities, traffic-classification, application-discovery, application-intelligence