Job description

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 We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page . While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted. 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. To find a location’s zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information. 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 Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. 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. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. 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Requirements

Must-haves

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
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
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
To find a location’s zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
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 Application Guidelines

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdaillmpythonkotlinjavagorestsqlawsgcpkubernetes

Platform: greenhouse
Effort: quick