We are looking for a Senior Software Engineer who can design and build automation that streamlines cluster provisioning, configuration, and lifecycle management, extend observability so that on-call engineers and platform users can quickly understand cluster health and performance across a growing fleet, and build self-service tooling that reduces the need for manual, one-off engineering support during onboarding. You'll work across the CI/CD pipeline, cloud infrastructure, and Solr cluster management stack, and collaborate closely with both the platform team (managed service, deployment, and reliability) and the SRE team (alarming, capacity, on-boarding).
Essential functions
- Design and build automation for onboarding new Solr use cases and tenants onto the managed platform, reducing manual setup and configuration steps.
- Extend and improve observability for the Solr platform, including metrics, dashboards, alerting, and tracing, so cluster health and performance are visible at scale.
- Design and develop tooling that gives platform consumers self-service visibility into their clusters, capacity, and configuration.
- Collaborate with the Platform and SRE sub-teams to identify gaps in tooling, automation, and monitoring as the platform scales, and prioritize the highest impact improvements.
- Troubleshoot and resolve system issues, improving system availability and performance as the number of onboarded use cases grows.
- Contribute to runbooks, documentation, and internal tooling that make the platform easier for the broader team to operate and support.
Qualifications
- Strong proficiency in Java, including backend development.
- Experience building RESTful services and resilient, high-performance backend components.
- Experience designing and implementing CI/CD automation using Gradle, Jenkins, Spinnaker, and GitHub.
- Solid working knowledge of AWS services, including deploying and managing applications in the cloud.
- Proficiency with Kubernetes for container orchestration, deployment, and application monitoring.
- Experience building or operating observability tooling (metrics, dashboards, alerting, logging, or tracing) for distributed systems.
- Experience designing systems for high availability, scalability, and performance.
- Comfortable working independently on ambiguous problems and collaborating across multiple engineering teams.
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
Would be a plus
- Experience with Apache Solr, Elasticsearch, or other distributed search and indexing technologies.
- Experience integrating with Apache Kafka and other message queuing systems.
- Experience building internal developer platforms or self-service infrastructure tooling.
- Experience with PagerDuty or similar alerting and incident management tooling.
- Familiarity with large-scale multi-tenant infrastructure and the operational challenges of onboarding new consumers safely.
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
- Please note that all onboarding must occur in person and you may be asked to travel to attend
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Never miss an opportunity! Create an alert based on the job you applied for.
