Senior Release/Software Engineer, Salesforce

• 5+ years of experience as a Release Engineer, DevOps Engineer, or a similar role with a strong focus on release engineering
• Expert-level proficiency in CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions)
• Deep hands-on experience with AWS infrastructure and services (e.g., EC2, S3, VPC, IAM, EKS/ECS, Lambda, CloudFormation, Terraform)
• Proven experience with containerization technologies (Docker) and orchestration (Kubernetes)
• Strong scripting skills in languages like Python, Bash, Groovy or Go
• Familiarity with AI/ML concepts and deployment challenges (e.g., model versioning, serving, MLOps pipelines). Experience with AI-specific AWS services is a significant plus
• Experience with configuration management tools (e.g., Ansible, Puppet, Chef) is a plus
• Solid understanding of software development lifecycle (SDLC) methodologies (Agile, Scrum)
• Strong background in Java development
• Excellent problem-solving skills and the ability to troubleshoot complex systems
• Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams
• A proactive, service ownership-driven mindset with a passion for automation and continuous improvement, including on-call duties
• A related technical degree required

Desirable

• In this pivotal role, you will be instrumental in defining, optimizing, and maintaining our release processes and infrastructure
• You will work closely with development, operations, and product teams to ensure efficient, reliable, and high-quality software delivery, with a particular focus on our cutting-edge AI-powered products
• Design and Implement Release Pipelines: Architect, implement, and maintain robust and scalable CI/CD pipelines for various applications, including those leveraging AI/ML models. Drive automation across the entire software delivery lifecycle
• Tooling and Infrastructure Management: Evaluate, select, and integrate best-of-breed tools for build, test, deployment, and monitoring. Manage and optimize our AWS cloud infrastructure related to release and deployment
• AWS Cloud Optimization: Leverage your deep expertise in AWS to optimize our cloud infrastructure for performance, cost-efficiency, and reliability, specifically for CI/CD workflows and AI-related deployments
• AI/ML Deployment Strategies: Develop and implement best practices for deploying and versioning AI/ML models, ensuring reproducibility and efficient inference. Address unique challenges associated with MLOps
• Monitoring and Alerting: Establish comprehensive monitoring and alerting for release pipelines and deployed applications to proactively identify and resolve issues
• Troubleshooting and Support: Provide expert-level support for release-related issues, working closely with development and operations teams to quickly diagnose and resolve problems
• Process Improvement: Continuously identify and implement improvements to our release processes, tools, and infrastructure, driving efficiency and reducing friction
• Mentorship and Leadership: Mentor junior engineers, share knowledge, and contribute to a culture of continuous learning and improvement within the team
• Security and Compliance: Ensure release processes adhere to security best practices and compliance requirements