Software Engineer III

orm effectively.

• Design, develop, and maintain scalable, secure, and efficient RESTful APIs using best practices on AWS platforms.

• Identify opportunities to automate remediation of recurring issues to enhance operational stability of software applications and systems.

• Collaborate with external partners, product teams, and business stakeholders to gather API requirements and ensure high-quality API performance and functionality.

• Implement security best practices for data transfer on cloud infrastructure.

• Participate in code reviews, pair programming, and ensure adherence to coding standards and best practices.

• Execute software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches to build solutions or resolve technical problems.

• Produce architecture and design artifacts for complex applications, ensuring design constraints are met, and gather, analyze, and synthesize data for continuous improvement of software applications and systems.

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Proficient in utilizing AWS services (e.g., Lambda, API Gateway, S3, EC2, IAM, Event Bridge) to design and deploy API-driven solutions, with a focus on cost-efficiency, scalability, and performance.

• Skilled in implementing Infrastructure as Code (IaC) using tools like Terraform.

• Experience in AWS-based API development using Python, with proficiency in RESTful API development and related tools such as Postman and Swagger/OpenAPI.

• Strong hands-on experience with Typescript and ReactJS.

• Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, and mobile.

• Proven experience in developing across all tiers of an application (middleware, integration, and database) and familiarity with design patterns.

• Expertise in best practices for data pipeline design, data architecture, and processing of structured and unstructured data.

• Experience in microservices architecture and development.

• Experience with AWS cloud monitoring tools like Datadog and CloudWatch.

• Solid understanding of agile methodologies, including CI/CD, application resiliency, and security, with experience in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Good to have Kafka Experience and Familiarity with monitoring tools such as Grafana
• Good to have Lake formation and Glue Experience
• Overall knowledge of the Software Development Life Cycle
• Familiarity with CI/CD pipelines, Docker, and Kubernetes.
• Experience in the financial domain is preferred.