Software Engineer III

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on Java concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing highly scalable micro-services based applications.
• Hands on experience in high throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc.
• Hands on experience in high throughput near real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc.
• Experience with Source Code Control Systems such as Git, bitbucket, svn, etc.
• Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud.
• Experienced in agile methodologies.
  

Preferred Qualifications, Capabilities, And Skills

• In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Hands on experience in high volume feature engineering with services such as EMR.
• Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc.
• Proficiency with relational DBs, SQL, RDS.
• Experience with recommendation and personalization systems.
• Interest in problems related to the financial services domain.
  

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