Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- 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, Applicant Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Hands-on software engineering expertise with Python
- Demonstrated AWS cloud expertise and hands-on AWS full stack software engineering experience
- Hands-on experience with AWS data lake that includes AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS S3, AWS EC2
- Working experience in Big Data platform technologies: HDFS, Hive, Yarn, Spark, or Kafka
Preferred qualifications, capabilities, and skills
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using Bitbucket, Terraform, SonarCube, Vericode, Jenkins, Artifactory, DataDog, and ServiceNow
- Demonstrated strength in leading micro-services based software development engineering teams
- Demonstrated strength in applying DevSecOps and DevOps development practices