Security Platform Engineer

Docusign • San Francisco, CA

1d • Hybrid

About The Position

Docusign Security Operations, comprising Threat Intel, Detection Engineering, and CSIRT, identifies and mitigates threats through detection building, alert analysis, and forensic investigations. We are proactive intent-driven problem-solvers dedicated to securing the business. At Docusign, we prioritize trust, safeguarding customer data, and platform integrity. Our dynamic and global team innovates at speed with cutting-edge tech, fostering continuous improvement and proactive defense against evolving threats. Detection Engineering owns the security data platform that powers our detection operations, enabling the identification of threats and delivering actionable alerts to our CSIRT for effective response. Docusign is seeking a skilled and motivated Senior Security Platform Engineer to join our Detection Engineering team. Reporting to the Manager of Detection Engineering, you will play a central role in building and operating the security data pipeline that underpins our detection and response capabilities. This role is focused on onboarding log sources to our SIEM, designing and building security data pipelines, and ensuring the reliability and quality of the telemetry that we collect. You will own cloud infrastructure through Terraform across multiple Azure tenants, build and maintain CI/CD pipelines in Azure DevOps, and develop automated security operations workflows. We are looking for someone with the engineering depth to ensure the right data arrives in the right place, in the right shape, on time. This role requires a strong technical foundation in data engineering or DevOps, an SRE-minded approach to reliability, the ability to be on-call, and a passion for building and maintaining the critical infrastructure that powers our detection efforts. We strongly encourage applications from software engineers, data engineers, and site reliability engineers who have security experience or a demonstrated interest in security. If you've built reliable data pipelines, written production automation, or managed cloud infrastructure and you're motivated by the problem of keeping an organization's security telemetry complete, fresh, and trustworthy this role is for you. This position is an individual contributor role reporting to the Sr. Manager, Threat Detection Engineering.

Requirements

• Basic 5+ years in cybersecurity, SRE, data engineering, or a related field, with at least 2 years focused on security data pipelines or SIEM platform engineering
• Infrastructure-as-Code skills — Terraform for managing cloud resources across multiple Azure tenants and subscriptions, with real experience managing state, writing reusable modules, handling drift, and working in brownfield environments. AWS or GCP experience is transferable
• Hands-on experience onboarding log sources into a SIEM (e.g., Microsoft Sentinel, Splunk, Elastic) — including working with platform/data owners, configuring collection agents/connectors, writing parsers, and validating data in production
• Experience designing and operating security data pipelines — including architecture decisions around ingestion, buffering, transformation, routing, and storage
• Proficiency with data engine/stream processing tooling for filtering, normalizing, enriching, and routing logs (e.g., Cribl, Logstash, Azure Data Explorer, custom ETL)
• DevOps fundamentals — GitHub-based PR workflows, CI/CD pipelines (Azure DevOps preferred; GitHub Actions transferable), automated testing and deployment of infrastructure and pipeline configurations
• Software development ability in Python (preferred) or Go — not just scripting, but writing maintainable, testable code for automation, tooling, and integrations
• Experience implementing observability and reliability checks for data pipelines — monitoring for ingestion failures, latency spikes, volume drops, schema drift, and data quality issues
• Familiarity with cloud-native logging and monitoring services (e.g., Azure Monitor, Event Hubs, Log Analytics workspaces)
• Understanding of security log types and their value — network, endpoint, identity, cloud audit, application — even if you haven't written detections against them

Nice To Haves

• Experience managing infrastructure across multiple Azure AD tenants and subscriptions
• Background in SRE or platform engineering with an interest in security
• Experience querying and analyzing logs in a SIEM (e.g., KQL, SPL) — for validating data onboarding, troubleshooting pipeline issues, and verifying data quality and completeness
• Exposure to the MITRE ATT&CK framework and how data source coverage maps to detection coverage
• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field

Responsibilities

• Onboard and integrate log sources into our SIEM and work with platform and data owners to identify, scope, and operationalize new telemetry — from initial source discovery through parsing, normalization, and validation in production
• Design and implement security data pipelines
• Architect end-to-end flows for collecting, transforming, enriching, and routing security telemetry at scale and make decisions about pipeline topology, buffering, backpressure, and delivery guarantees
• Transform and enrich data in-flight, using data engine tooling to filter noise, normalize schemas, enrich events with contextual data (asset metadata, threat intel, identity), and route logs to their correct destination — whether that's the SIEM or a data lake
• Own infrastructure-as-code and CI/CD and manage cloud resources via Terraform across multiple Azure AD tenants and subscriptions
• Build and maintain CI/CD pipelines that deploy infrastructure changes, pipeline configurations, and data onboarding through version-controlled git workflows with code review, automated testing, and repeatable deployments
• Build automation and tooling and develop software (Python primarily) to automate repetitive security operations workflows — log source onboarding, health checks, data validation, alerting integrations, and operational runbooks
• Implement pipeline reliability and observability and design and maintain monitoring that alerts on logging disruptions, ingestion latency, volume anomalies, parsing failures, and data quality degradation
• Establish SLOs for data freshness, completeness, and correctness, ensuring the team knows when data stops flowing before the adversary takes advantage of it
• Support Detection Engineers by ensuring the data platform delivers the telemetry their detections require, in the schema they expect, with the freshness guarantees their detection logic depends on
• Contribute to operational excellence, document pipeline architecture, runbooks, and onboarding processes, and participate in on-call rotation for data platform issues
• Clearly and concisely communicate technical security concepts, findings, and recommendations to both technical and non-technical stakeholders

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree