
Artificial Intelligence • SaaS • Enterprise
BayRock Labs is a global leader in product engineering, specializing in crafting cutting-edge software solutions that drive innovation and success for startups and enterprises. With a customer-first approach rooted in collaboration and integrity, BayRock Labs has established itself as a trusted partner, delivering tailored solutions to meet complex business challenges while leveraging AI technology to enhance operations and efficiency. Their commitment to excellence has empowered numerous clients across various industries, making a significant impact on the tech landscape.
1001 - 5000 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
October 13

Artificial Intelligence • SaaS • Enterprise
BayRock Labs is a global leader in product engineering, specializing in crafting cutting-edge software solutions that drive innovation and success for startups and enterprises. With a customer-first approach rooted in collaboration and integrity, BayRock Labs has established itself as a trusted partner, delivering tailored solutions to meet complex business challenges while leveraging AI technology to enhance operations and efficiency. Their commitment to excellence has empowered numerous clients across various industries, making a significant impact on the tech landscape.
1001 - 5000 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
• Design, implement, and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline • Build and maintain infrastructure as code using Terraform or AWS CloudFormation • Monitor and optimize system performance, reliability, and scalability across AWS services • Manage containerized applications using Docker and orchestration tools like Kubernetes or ECS • Implement security best practices across cloud infrastructure and deployment workflows • Collaborate with development and QA teams to streamline release cycles and improve deployment efficiency • Troubleshoot production issues and participate in on-call rotations as needed • Maintain documentation for infrastructure, processes, and configurations
• 8+ years of experience in DevOps or Site Reliability Engineering • Strong hands-on experience with AWS services (EC2, S3, Lambda, RDS, CloudWatch, IAM, etc.) • Proficiency in scripting languages (Python, Bash, or Shell) • Experience with infrastructure as code (Terraform, CloudFormation) • Familiarity with containerization and orchestration (Docker, Kubernetes, ECS) • Solid understanding of networking, monitoring, and logging tools (Prometheus, Grafana, ELK, etc.) • Knowledge of CI/CD tools and practices • Excellent problem-solving and communication skills. • AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect) preferred • Experience with serverless architecture and microservices preferred • Exposure to Agile/Scrum methodologies preferred • Familiarity with GitOps and automated testing frameworks preferred
• Health insurance • Work-life balance • Professional growth
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