Senior Software Engineer, Cloud

Responsibilities

• Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components.
• Convert ambiguous product requirements into clear technical designs and executable workstreams.
• Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams.
• Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery.
• Set and uphold high standards for reliability, scalability, performance, and security.
• Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence.
• Participate in the on-call escalation chain; helping reduce escalations and improve operational health.
• Build tools and services for automated infrastructure provisioning, deployment, and self-healing.
• Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud.

Requirements

• 5+ years of experience designing and operating large-scale, reliable systems in public cloud environments.
• A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations.
• Strong proficiency in Go (or comparable systems language with willingness to ramp).
• Experience with AI-assisted software development workflows including tools like Claude Code.
• Production experience with Kubernetes, including running and operating workloads.
• Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure.
• Familiarity with stream processing concepts.
• Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub).
• Ability to collaborate effectively with engineering, product, and customer-facing stakeholders.

Nice-to-Haves

• Experience building Kubernetes operators for stateful / storage workloads.
• Experience building or operating SaaS platforms.
• Experience with streaming platforms as a user or provider.
• Exposure to production agentic systems and building agentic workflows.

Compensation

U.S. base salary range for this role is $205,000 - $230,000.