The future of financial data access
Senior Software Engineer/Developer
Location
United States
Posted
15 days ago
Salary
$125K - $135K / year
Job Description
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or closely related field (or foreign education equivalent including 3-year foreign degree) and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) architecting and building highly performant and resilient applications in multi-Cloud platforms using Go and Amazon Web Services (AWS).
- Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) architecting and building highly performant and resilient applications in multi-Cloud platforms using Go and Amazon Web Services (AWS).
- Demonstrated Expertise (DE) designing and developing secure, high-performance APIs for fintech product and authentication applications; and performing backend development using Golang, Java and Python, including parsing, validating, and transforming API requests to facilitate seamless integration with frontend systems.
- DE implementing Continuous Integration / Continuous Deployment (CI/CD) pipelines using Bitbucket YAML configurations; and enabling automated deployments using SonarCloud and Snyk for proactive vulnerability scanning prior to promotion to higher environments.
- DE developing and optimizing SQL and NoSQL queries to support robust CRUD operations across diverse database platforms (Postgres, Redis and DynamoDB); and benchmarking database performance to ensure access to data under heavy load conditions.
- DE using Docker and Kubernetes for container performance monitoring and application scaling; maintaining cloud infrastructure and security using AWS Cloud Services -- EC2, ECR, RDS, S3, and CloudFront; and monitoring software performance across external applications and internal backend microservices to ensure optimal performance and reliability using Datadog.
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