Production Support Engineering - Cloud DevOps Engineer SMTS

We are looking for a Cloud & Dev Ops Engineer, Senior Member of Technical Staff (SMTS), to design, build, automate, and operate reliable, secure, and scalable cloud infrastructure and production platforms. You will work with software engineers, infrastructure teams, security partners, and product teams. Your work will improve service availability, deployment reliability, operational efficiency, and developer productivity.

The ideal candidate has strong experience with public cloud and cloud-native technologies, infrastructure automation, CI/CD, observability, and production operations. They also have practical software development experience in Python, Java, Go, or another programming language. This is an engineering-focused Dev Ops role. We expect automation and software development to replace repetitive manual operations.

You approach ambiguous infrastructure and production problems methodically. You understand system behavior across application and infrastructure layers. You use modern engineering practices, including AI-assisted development, to improve reliability, automation, and delivery effectiveness.

• 6+ years of experience in a senior or lead role in Cloud Dev Ops engineering.
• Experience in performance engineering and benchmarking.
• Experience designing, deploying, or operating production workloads on public cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience developing production software in Core Java, Python, or another object-oriented programming language.
• Strong understanding of cloud infrastructure concepts, including compute, storage, networking, load balancing, identity and access management, security, high availability, and disaster recovery.
• Experience with containerization and cloud-native technologies such as Docker, Kubernetes, or comparable container orchestration platforms.
• Experience with Infrastructure as Code and configuration automation using tools such as Terraform, Cloud Formation, Ansible, Helm, or comparable tooling.
• Experience building, maintaining, or improving CI/CD pipelines and automated build, test, deployment, and release workflows.
• Development or automation experience using Python, Go, Java, or another programming language. You can build maintainable, production-quality automation, tools, services, or APIs.
• Familiarity with databases (Postgres, HBase, Oracle, or similar) and database cluster technologies such as Oracle RAC (Real Application Clusters).
• Experience with Linux systems and working knowledge of operating systems, networking, process, memory, storage, and performance fundamentals.
• Experience with production observability using logs, metrics, traces, dashboards, and alerting platforms.
• Understanding of distributed-system and reliability concepts, including scalability, fault tolerance, resiliency, service dependencies, capacity, availability, and performance.
• Experience troubleshooting complex production issues across application, infrastructure, networking, and cloud layers.
• Experience working across the software and infrastructure delivery lifecycle: design, implementation, testing, deployment, monitoring, incident response, and continuous improvement.
• Experience using AI-assisted development tools or techniques for automation, software development, troubleshooting, testing, debugging, or documentation.
• Strong analytical and problem-solving skills, including the ability to diagnose complex infrastructure and production problems systematically.
• Effective written and verbal communication skills and the ability to collaborate across engineering and operational teams.

• Experience operating large-scale distributed systems or high-availability production platforms.
• Experience with Kubernetes ecosystem technologies, service discovery, ingress, service mesh, autoscaling, or container platform engineering.
• Experience building internal developer platforms, self-service infrastructure, deployment frameworks, or operational automation.
• Experience developing backend services, APIs, command-line tools, controllers, operators, or automation frameworks.
• Experience with Site Reliability Engineering (SRE) practices, including service level objectives (SLOs), service level indicators (SLIs), error budgets, capacity management, and incident management.
• Experience with cloud security, IAM, secrets management, vulnerability management, policy enforcement, and infrastructure security controls.
• Experience with observability…