Senior GRC Engineer

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more.

Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

Block Information Security is an engineering-driven team focused on scaling security through innovation. Our Security Governance team designs and promotes the frameworks and standards that safeguard customer data, elevate security considerations across the company, and simplify regulatory and compliance obligations. The team also operates the agent-first platform that turns those frameworks into running systems.

Most of governance is a data problem. The risk, control, and asset information needed to answer "are we secure and compliant?" is dispersed across dozens of systems: source control, service registries, identity providers, data warehouses, ticketing, CI/CD. GRC Engineers treat that as an engineering problem. You'll build the data pipelines, integrations, and agentic AI workflows that turn manual governance processes into products that run continuously, produce measurable results, and hold up to audit end to end.

You Will

• Build and operate the pipelines and integrations that aggregate, normalize, and join risk, control, and asset signals from systems of record across Block, including source control, the service registry, identity, ticketing, data platforms, and CI/CD
• Translate security standards and compliance requirements into policy-as-code: enforceable, testable rules that run continuously. For example, "every production service has an accountable owner" becomes a versioned, tested check instead of a quarterly spreadsheet
• Design agentic AI workflows that pair LLM reasoning with deterministic, auditable decision layers for evidence analysis, control monitoring, classification, and assessment
• Build the evals, benchmarks, and calibration harnesses that keep automated governance honest
• Automate evidence collection and continuous control monitoring to replace point-in-time audit preparation
• Define the technical approach for ambiguous, cross-team problem spaces. This is an early-stage program, and you will frame problems as often as you solve them
• Partner with Security Governance Partners, Compliance, and Engineering teams to find the manual processes most worth turning into product
• Help govern Block's own AI systems: the same platform that automates governance also assesses the autonomy and safety of Block's agents
• Contribute to technical design discussions, evaluating the security and reliability properties of the platform itself

You Have

• 7+ years building production software in backend, platform, data, or security engineering
• Multi-year ownership of a production system, including on-call, SLOs, and the maintenance work that starts after launch
• Proficiency with at least one of Python, Kotlin, Java, or Go, and comfort reading unfamiliar codebases
• Hands-on experience building with LLMs (prompting, tool use, agents, or LLM-backed features) and opinions about where model judgment belongs and where it doesn't. Judgment matters more here than volume
• Experience with integration patterns: REST APIs, webhooks, authentication flows, event-driven architectures
• Experience pulling, normalizing, and joining data from multiple imperfect sources, and handling the edge cases gracefully
• Experience defining technical direction where the problem was ambiguous, and carrying it across team boundaries
• Attention to detail balanced with pragmatism about risk-based prioritization

Nice to have (optional):

• Working knowledge of a security or compliance framework such as PCI DSS, SOX, SOC 2, ISO 27001, or NIST. Prior GRC experience is not required; we can teach the governance side
• Production-scale LLM or agentic systems experience

Technologies You Are Familiar With

• Languages & Frameworks: Python, Java, Kotlin, Go
• AI: LLM APIs (we build on Claude), agent frameworks and tool-use patterns such as Model Context Protocol, eval harnesses
• APIs & Data: HTTP, JSON, gRPC, Protocol Buffers, SQL, Snowflake
• Infrastructure: AWS, GCP, Kubernetes, Terraform, CI/CD (Buildkite), event-driven architecture

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A:

$217,800—$326,800 USD

Zone B:

$207,000—$310,400 USD

Zone C:

$196,100—$294,100 USD

Zone D:

$185,200—$277,800 USD

Use of AI in Our Hiring Process

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.