Key skills
GrafanaJavaKubernetesMongoDBOpenShiftOraclePostgresPrometheusPythonRedisSplunkGoAIGenerative AIECSCI/CDLeadershipCommunicationPresentation Skills
About this role
Role Overview
- Contribute to the stability, reliability, and performance of AI and DevOps platforms.
- Assist with vendor relationship management, including coordination with offshore managed services.
- Support efforts to improve service levels for end users by enhancing operational efficiencies.
- Partner with development teams to guide improvements in application stability and supportability.
- Contribute to frameworks for managing capacity, throughput, and latency.
- Assist in defining and implementing application onboarding guidelines and standards.
- Support team members by fostering a collaborative environment and encouraging skill development.
- Participate in cost-reduction efforts through Root Cause Analysis reviews, knowledge management, performance tuning, and user training.
- Participate in business review meetings to help align technology tools and strategies with business requirements.
- Ensure adherence to support processes and tool standards, and assist in enhancing processes to promote consistency and quality across the support program.
- Perform other duties and functions as assigned.
- Support platform leadership in defining the platform roadmap and partnering with engineering teams.
- Assist in executing resilience activities such as wargaming scenarios, chaos engineering tests, and disaster recovery drills.
- Contribute to automation initiatives aimed at reducing manual toil and improving platform efficiency.
- Support the enterprise-wide observability strategy, including monitoring, logging, tracing, and alerting.
- Maintain hands-on familiarity with platform architecture and services as needed for operational support.
- Assist in overseeing the operational health of production platforms (including OpenShift, ECS, CI/CD), ensuring SLAs are supported and incident processes are followed.
- Help implement and operate effective monitoring and observability strategies to support proactive issue detection and system health assessments.
Requirements
- 5–7 years of relevant experience in a hands-on technical or support leadership role
- Experience contributing to architecture discussions and ensuring solutions align with enterprise standards and long-term maintainability.
- Experience working with senior stakeholders or technology partners.
- Demonstrated experience supporting IT service improvements or platform stability initiatives.
- Strong communication and presentation skills, with the ability to convey technical concepts clearly.
- Experience supporting or contributing to technical roadmaps or operational workstreams.
- Experience participating in resilience-related activities such as incident simulations, disaster recovery exercises, or stability testing.
- Ability to collaborate with cross-functional support teams and technology groups.
- Strong organizational and workload-planning skills.
- Consistently demonstrates clear and concise written and verbal communication skills.
- Ability to communicate appropriately with relevant stakeholders.
- Working knowledge of Generative AI concepts preferred.
- Experience with CI/CD and configuration management tools preferred.
- Experience with Red Hat OpenShift or similar Kubernetes technologies preferred.
- Experience working with databases such as Postgres, Oracle, MongoDB, or Redis preferred.
- Experience writing or maintaining code in Java, Python, Go, or similar languages preferred.
- Hands-on experience with modern observability and monitoring tools (e.g., Prometheus, Grafana, Splunk, ELK) preferred.
Tech Stack
- Grafana
- Java
- Kubernetes
- MongoDB
- OpenShift
- Oracle
- Postgres
- Prometheus
- Python
- Redis
- Splunk
- Go
Benefits
- mentorship
- continuous learning
- flexibility with potential hybrid work opportunities