Platform Engineer IV: Data & API Platform

Tenets of Messaging System Engineering:

• Use technology to solve business problems and drive positive outcomes

• Build a scalable technology platform to support a growing business

• Deliver high-quality code to production, consistently

• Play a key role in building out a large scale distributed and event-based Data Platform

• Work with engineering team to peer review and propose process, standards, and guidelines and drive operational maturity of the big data integration platform

• Evangelize best practice use cases and provide knowledge transfer and training across teams and to other data movement delivery team members

• Analyze service performance to ensure solutions do not impact production systems

• Be self-driven and work effectively in a high demand team & project, and highlight any potential risks and issues

• Relentlessly pursue self-service, automation capabilities and solutions to reduce development cycle-time

• Collaborates with application teams to have a boots on the ground understanding of challenges and success

• Partners alongside risk and compliance teams to understand and ensure systems and solutions protect the Enterprise

• Perform root cause analysis on incident and problem tickets (4th level)

• Demonstrate leadership skills to drive the team to results.

I am the person Capital Group is looking for.

• Required Education Bachelor’s degree in Computer Science, Engineering, or related discipline

• 10 years’ experience building large scale, real-time distributed systems with solid coding, problem-solving, and design skills. Experience designing/building API’s and microservices.

• Full Stack Development (React, angular, Springboot, backend store) for developing Platform Tools.

• Experience with Event-driven architecture and messaging frameworks (Pub/Sub, Kafka, and/or RabbitMQ)

• Ability to demonstrate agile team-first attitude towards software development.

• Mature engineering practices (Git Ops, CI/CD, testing, secure coding, Git, tracing, alerting, etc)

• Experience with container applications (Docker, Kubernetes)

• Experience with Amazon Web Service cloud service platforms and web services (Lambda, EKS, EC2, S3)

• Familiar with automation software provisioning and configuration management tools (Terraform)

• Expert Python scripting knowledge and experience

Southern California Base Salary Range: $148,045-$236,872