Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficiency in Java/J2EE and REST APIs, Python, Web Services and experience in building event-driven Micro Services and Kafka streaming. Experience in Spring Framework and AWS Services in public cloud infrastructure.
- Experience in RDBMS and NOSQL databases. Working proficiency in developmental toolsets like GIT/BitBucket, JIRA, Maven
- Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
- An AWS certification is preferred, but not a pre-requisite.
- Experience on cloud engineering including Pivotal Cloud Foundry, AWS.
- Experience in PERF testing and turning as well as shift left practices.
- DDD (domain driven design)