Software Engineering SMTS

Join our team as a Senior Member of Technical Staff (SMTS) in Software Engineering. In this role, you will design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms. You will collaborate with software engineers, infrastructure teams, security partners, and product teams to improve service availability, deployment reliability, operational efficiency, and developer productivity. The ideal candidate has strong experience with software development, public cloud and cloud-native technologies, infrastructure automation, CI/CD, observability, and production operations.

• Design, build, automate, and operate secure, reliable, and scalable cloud infrastructure and production platforms.
• Develop software, automation frameworks, scripts, APIs, and engineering tools in Python, Go, Java, or comparable languages to reduce manual operations and improve platform reliability.
• Build and maintain Infrastructure as Code for repeatable provisioning, configuration, deployment, and lifecycle management of cloud resources.

• Experience working across the software and infrastructure delivery lifecycle: design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
• A demonstrated AI-first approach to engineering. You use AI tools (for example, Claude Code, GitHub Copilot, Codex, or Cursor) to work faster, build fluency across the stack, and contribute beyond your core specialty
• Effective written and verbal communication skills and the ability to collaborate across engineering and operational teams
• 6+ years of experience designing and building production software. This includes full-stack applications, backend services, developer tools, or internal platforms
• Understanding of distributed-system and reliability concepts, including scalability, fault tolerance, resiliency, service dependencies, capacity, availability, and performance
• Strong programming skills and experience working across frontend, backend, APIs, data stores, and distributed system boundaries
• Experience with Infrastructure as Code and configuration automation using tools such as Terraform, CloudFormation, Ansible, Helm, or comparable tooling
• Experience troubleshooting complex production issues across application, infrastructure, networking, and cloud layers
• Experience using AI development tools or techniques for automation, software development, troubleshooting, testing, debugging, and documentation
• Strong understanding of cloud infrastructure concepts, including compute, storage, networking, load balancing, identity and access management, security, high availability, and disaster recovery
• Experience with production observability using logs, metrics, traces, dashboards, and alerting platforms
• Development or automation experience using Core Java, Python, Go, or another programming language. You can build maintainable, production-quality automation, tools, services, or APIs
• Experience building, maintaining, or improving CI/CD pipelines and automated build, test, deployment, and release workflows
• Familiarity with databases (Postgres, HBase, Oracle, or similar) and database cluster technologies such as Oracle RAC (Real Application Clusters)
• Strong analytical and problem-solving skills, including the ability to diagnose complex infrastructure and production problems systematically
• Experience designing, deploying, or operating production workloads on public cloud platforms such as AWS, Azure, or Google Cloud Platform
• Experience with Linux systems and working knowledge of operating systems, networking, process, memory, storage, and performance fundamentals
• Experience with containerization and cloud-native technologies such as Docker, Kubernetes, or comparable container orchestration platforms
• 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
• Advanced prompt engineering skills. You can write precise, structured prompts and build the system context that makes AI outputs reliable, secure, and production-ready
• 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 technologies such as Prometheus, Grafana, OpenTelemetry, Splunk, or comparable platforms
• Experience with databases, caching systems, messaging platforms, or distributed data infrastructure
• Familiarity with multi-region, multi-cloud, disaster recovery, or large-scale cloud migration architectures
• Familiarity with Agile development practices and iterative release cycles