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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Platform Engineer - **Company:** Rough House Games, Inc. - **Location:** Los Angeles, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Performance Management, Automation of Tests, Microsoft Azure, Backup Devices, Bash Shell, Software as a Service, Cloud Computing, Cloud Engineering, Software Quality, Continuous Delivery, Continuous Integration, Data Recovery, Software Debugging, DevOps, Disaster Recovery, Distributed Systems, Github, Python (Programming Language), Open Source Technology, Systems Development Life Cycle, Runbook, Server Administration, Software Engineering, Web Applications, Data Logging, Network Routing, Scripting, Google Cloud, Load Balancing, Performance Testing, Delivery Pipeline, Software Security, Multi-Cloud, Amazon Virtual Private Cloud (VPC), Cloudformation, AI Platforms, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Database Backup, Terraform, Docker - **Published:** September 28, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-devops-platform-engineer-los-angeles-ca--470eb38a-b69b-4532-84a8-3b58df9e3b34 ## About the Role Technical Requirements - Core Skills (Must Have): * 5+ years of experience operating production cloud infrastructure (GCP and/or AWS), ideally in multi-cloud environments. * Deep experience with CI/CD systems and pipeline design (e.g., GitLab CI, GitHub Actions). * Strong experience with Kubernetes and container orchestration in production. * Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar). * Proficiency with Docker and core containerization concepts. * Experience implementing and operating observability stacks (metrics, logs, traces). * Solid understanding of web application deployment, scaling, and reliability fundamentals. * Scripting skills in Python, Bash, or similar for automation. * Experience integrating automated tests into deployment workflows. * Strong problem-solving and debugging skills, especially in distributed systems. * Clear, concise communication and a collaborative working style. Preferred / Bonus Skills (Nice To Have): * Experience with database administration, backup, and recovery strategies. * Familiarity with security best practices for cloud-native and multi-tenant applications. * Experience with performance testing, capacity planning, and cost optimization. * Strong understanding of networking, load balancing, and traffic routing. * Experience with AI/ML, HPC, or other data- and compute-intensive workloads. * Contributions to internal DevOps/Platform tooling or open-source automation projects. What Makes You A Great Fit: * You're motivated by giving developers a platform that "just works" so they can ship safely and fast. * You default to automation, repeatability, and simplicity over manual, one-off fixes. * You're comfortable working across SaaS, customer VPCs, and on-prem environments and enjoy the challenge of standardizing them. * You naturally validate your work end-to-end-using the application, not just watching dashboards. * You can explain complex infrastructure tradeoffs to any audience and drive alignment. * You're excited to apply your skills to AI in life sciences and support teams doing high-impact scientific work., Amazon Web Services (AWS), Applications Security, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Bash Scripting, Best Practices, Biology, Capacity and Performance Management, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Support/Service, Data Modeling Tools, Data Recovery, Database Administration, Database Backup, DevOps, Disaster Recovery, Documentation, Drug Development, Drug Discovery, GCP (Good Clinical Practices), GitHub, Health Plan, Incident Response, Internet Application, Load Balancing, Machine Tool, Metrics, Microsoft Windows Azure, Network Routing, On Call, Open Source, Performance Management, Performance Testing, Psychiatry and Mental Health, Python Programming/Scripting Language, Reporting Dashboards, Root Cause Analysis, Scalable System Development, Scripting (Scripting Languages), Software Administration, Software Design, Software Development, Software as a Service (SaaS), Team Player, Test Automation, Testing ## Description As a Senior DevOps Platform Engineer, you will own the deployment backbone that makes Salt's multi-environment AI platform reliable, fast, and secure. You'll design and operate infrastructure that runs across SaaS, VPC, and on-prem-supporting customers who depend on Salt for mission-critical life sciences workloads. The Role (What You'll Be Doing): * Drive velocity by building and maintaining high-speed, reliable CI/CD pipelines. * Own multi-cloud deployment consistency across SaaS, VPC, and on-prem environments (GCP, AWS, Azure), ensuring parity and predictable behavior. * Define and enforce infrastructure and deployment standards to prevent environment drift. * Implement and evolve monitoring, logging, and alerting to ensure platform health, performance, and SLOs. * Automate provisioning and configuration of infrastructure using infrastructure-as-code. * Design and maintain application security, backup, and disaster recovery procedures. * Partner closely with developers to improve application performance, reliability, and operability. * Participate in incident response, including on-call rotations, root cause analysis, and remediation. * Maintain clear, discoverable documentation for infrastructure, deployment processes, and runbooks. * Support QA by enabling automated testing in pipelines and stable test environments. * Champion and spread best practices for code quality, security, and deployment standards.