Automation Software Engineer (SWE3) [D.25.0178]

Responsibilities

• Develop and maintain scalable, secure Python applications, APIs, and microservices.
• Design, implement, and manage cloud infrastructure using common cloud technology providers.
• Utilize DevOps best practices to integrate CI/CD pipelines for automated testing and deployment.
• Optimize and troubleshoot system performance, scalability, and reliability in cloud environments.
• Collaborate with cross-functional teams (product, QA, data engineers) to ensure application and infrastructure meet business requirements.

Requirements

• Production-grade software development experience in Python.
• Experience with deployment and management of services in cloud-based hosting environments such as AWS/Azure.
• Service containerization and deployment with Docker/Kubernetes.
• Familiarity with Git.
• Atlassian Tools (Jira, Confluence).

Skills

• Production-grade software development experience in Python.
• Experience with deployment and management of services in cloud-based hosting environments such as AWS/Azure.
• Service containerization and deployment with Docker/Kubernetes.
• Familiarity with Git.
• Atlassian Tools (Jira, Confluence).
• Nice To Haves:
• Experience with additional programming languages (e.g., Python, Go, Java).
• Familiarity with network architecture and cloud networking components (VPC, VPN, Load Balancers).
• Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, or Microsoft Azure certifications.
• Experience with data engineering or managing large-scale data pipelines.
• Experience in container security or securing Kubernetes clusters and workloads.
• Familiarity with data storage systems (e.g., relational, NoSQL, or data lakes).

YOE Requirement

• 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.