Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Drives decisions that influence the product design, application functionality, and technical operations and processes.
- Serves as a function-wide subject matter expert in one or more areas of focus.
- Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle.
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
- Adds to the team culture of diversity, equity, inclusion, and respect.
- Ensure the data quality, SLAs for 100s of big-data pipelines running daily on-prem and AWS.
- Lead the troubleshooting, debugging, and fixing production issues. Provide timely communications to Business, Product, Modeling and Tech teams.
- Build automations and tools to reduce manual tasks and associated toil.
- Driving technology roadmap, reduce tech debt and work on Technology Lifecycle Management (TLM).
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong experience in Big Data development tool stack (Hortonworks, AWS), ETL data pipeline implementation.
- Strong development experience in Java, Python or Scala.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (Big Data, cloud, machine learning)
- Ability to tackle design and functionality problems independently with little to no oversight
- Practical cloud native experience
- Excellent debugging and trouble shooting skills.
- Experience in logging and monitoring tools such as Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Kibana, Grafana, CloudWatch, Datadog etc.
- Experience in Continuous Integration & Continuous Deployment processes using tools such as Jenkins and spinnaker.
- Collaboration with global team including participation in daily scrum meetings, peer reviews and design sessions.
Preferred qualifications, capabilities, and skills
- In-depth knowledge of the financial services industry and their IT systems
- AWS Certification
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)