Senior Software Engineer
Posted Updated
Summary
A senior engineer builds and maintains reliable Golang microservices, designing and debugging features, containerizing services with Helm for Kubernetes deployment, and writing high-coverage tests (unit, contract, end-to-end, integration) while improving performance end to end.
Job Summary (List Format):
- Develop and maintain microservices primarily using Golang, with a focus on reliability and resilience.
- Design, build, debug, and enhance features; improve performance and resolve bugs iteratively.
- Containerize services for deployment on Kubernetes (k8s) environments using Helm charts.
- Gain and apply a comprehensive understanding of end-to-end technical architecture and dependencies.
- Write high-coverage tests, including unit, contract, end-to-end, and integration tests.
- Manage code with Git and utilize CI/CD pipelines for building, testing, and deployment.
- Build, test, and deploy remotely to various environments, including local and lower-level environments.
- Review and improve team members' code for performance, readability, and correctness; contribute to code design and process discussions.
- Report status updates and manage risks for assigned applications/services.
- Participate in demos and acceptance discussions with cross-functional teams (analysts, developers, product owners).
- Assist with task planning, estimation, and sprint-based workflow activities.
- Take ownership of delivery tasks including design, development, testing, deployment, configuration, and documentation to meet business requirements.
- Work collaboratively in a team environment with a strong focus on delivering solutions for real-world problems.
- Demonstrate proficiency in Python/Golang and SQL in production settings, with a willingness to learn new technologies.
- Experience with large data volumes, high throughput, and low latency systems.
- Familiarity with modern service design, containers, orchestration, streaming platforms, APIs, and in-memory/NoSQL stores.
- Comfortable in a DevOps-driven workflow, including CI/CD and evolving development processes.
- Communicate effectively with a range of technical and non-technical stakeholders.
- Adhere to best practices in code review, version control, and change control, especially in scale-up environments.
- Experience optimizing solutions within technology constraints.
- Interest or experience in deploying machine learning technologies to production.
- Develop and maintain microservices primarily using Golang, with a focus on reliability and resilience.
- Design, build, debug, and enhance features; improve performance and resolve bugs iteratively.
- Containerize services for deployment on Kubernetes (k8s) environments using Helm charts.
- Gain and apply a comprehensive understanding of end-to-end technical architecture and dependencies.
- Write high-coverage tests, including unit, contract, end-to-end, and integration tests.
- Manage code with Git and utilize CI/CD pipelines for building, testing, and deployment.
- Build, test, and deploy remotely to various environments, including local and lower-level environments.
- Review and improve team members' code for performance, readability, and correctness; contribute to code design and process discussions.
- Report status updates and manage risks for assigned applications/services.
- Participate in demos and acceptance discussions with cross-functional teams (analysts, developers, product owners).
- Assist with task planning, estimation, and sprint-based workflow activities.
- Take ownership of delivery tasks including design, development, testing, deployment, configuration, and documentation to meet business requirements.
- Work collaboratively in a team environment with a strong focus on delivering solutions for real-world problems.
- Demonstrate proficiency in Python/Golang and SQL in production settings, with a willingness to learn new technologies.
- Experience with large data volumes, high throughput, and low latency systems.
- Familiarity with modern service design, containers, orchestration, streaming platforms, APIs, and in-memory/NoSQL stores.
- Comfortable in a DevOps-driven workflow, including CI/CD and evolving development processes.
- Communicate effectively with a range of technical and non-technical stakeholders.
- Adhere to best practices in code review, version control, and change control, especially in scale-up environments.
- Experience optimizing solutions within technology constraints.
- Interest or experience in deploying machine learning technologies to production.
What they ask for
Required
- Develop and maintain microservices primarily using Golang, with focus on reliability and resilience
- Design, build, debug, and enhance features; improve performance and resolve bugs iteratively
- Containerize services for deployment on Kubernetes (k8s) using Helm charts
- Comprehensive understanding of end-to-end technical architecture and dependencies
- Write high-coverage tests including unit, contract, end-to-end, and integration tests