Location: Houston, TX
Primary Responsibilities:
• Troubleshoots incidents, conducts blameless post-mortems and ensures permanent closure of incidents.
• Engages with development team throughout the life cycle to help develop software for reliability.
• Applies analytics on historic data, such as incidents and usage patterns, to predict issues and take proactive action.
• Drives adoption of self-healing and resiliency patterns such as circuit breaker, bulkhead etc.
• Designs and conducts performance tests, identifies bottlenecks and opportunities for optimization.
• Defines and drives adoption of best-in-class monitoring frameworks to accomplish end to end flow monitoring and noiseless alerting.
• Designs, develops, tests and delivers software to automate manual operational work
• Deploys software and product upgrades.
• Adds value to team delivery and works with team to complete tasks to high quality and actively learns new skills.
• Facilitates maximum speed of delivery by objectively binding to error budgets of the service.
• Manages the effort split between manual operational work and engineering work.
• Coaches other team members and manages teams as needed.
Required Skills:
• Excellent debugging and troubleshooting skills.
• Expert in performance monitoring and capacity management of large systems using various tools.
• Expert in at least one technology stack (Java/J2EE/Python) with designing, coding, testing, and delivering software.
• Expert in at least one of the relational databases (SQL Server, Oracle, DB2 etc.).
• Hands-on experience with cloud technologies (Cloud Foundry, Kubernetes, AWS).
• Hands-on experience with big data services (Hadoop, HDFS, Hive, Yarn, HBase, Kafka, Zookeeper).
• Working knowledge of Groovy, batch scripting, PowerShell or shell scripting.
• Experience developing, deploying and debugging distributed systems in a Linux, Hadoop environment.
• Experience with monitoring tools such as AppD, Splunk, ELK, Geneos.
• Analysis of SLI metrics and performance data. Interpreting and correlating it to SLOs and SLAs.
• Experience with deployment automation, CI/CD, DevOps, Jenkins, GIT, BitBucket.
• Experience with cloud/container environments, big data, analytical tools (Tableau, Alteryx).
• Expert practitioner in one or more technology domains, may be a cross-domain expert able to solve complex and mission-critical problems within a business or across the firm.
• Working knowledge of infrastructure components like routers, load balancers and networks.
• Comfortable working in Agile mode and proficient in continuous integration and continuous delivery.
• Solid understanding of micro-service design methodologies.
• Solid analytical and problem-solving skills.
• A proven team lead with excellent communications skills.
• Attention to detail and time-management skills.
• Is endlessly curious about applications and application stability.