Company Overview : Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What You'll Do : This position is an individual contributor role reporting to the Sr. Manager, Threat Detection Engineering. - Responsibility

- Onboard and integrate log sources into our SIEM. Work with platform and data owners to identify, scope, and operationalize current 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. Make decisions about pipeline topology, buffering, backpressure, and delivery guarantees
- Transform and enrich data in-flight. Use 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. Manage cloud resources via Terraform. Build and maintain CI/CD pipelines that deploy pipeline configurations, detection content, and infrastructure changes through proper git flow with review, testing, and automated rollback




- Build automation and tooling. 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. 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. Ensure the team knows when data stops flowing before the adversary takes advantage of it
- Collaborate with Detection Engineers to ensure they have the data they need, in the schema they expect, with the freshness guarantees their detections require
- Contribute to operational excellence. Document pipeline architecture, runbooks, and onboarding processes. Participate in on-call rotation for data platform issues
- Embrace and implement Detection-as-Code principles throughout the detection lifecycle. This includes using version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines for detections to ensure consistency, reliability, and scalability
- Design, develop, and implement high-fidelity threat detections based on threat intelligence, attacker TTPs, and analysis of security telemetry. Focus on creating detections that are effective, accurate, and minimize false positives




- Communicate technical concepts. Clearly and concisely communicate technical security concepts, findings, and recommendations to both technical and non-technical stakeholders

Job Designation :

- Hybrid**: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
- Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What You Bring :

- Basic**
- 8+ years in cybersecurity, SRE, data engineering, or a related field, with at least 2 years focused on security data pipelines or SIEM platform engineering
- 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
- Experience with data engine/stream processing tooling for filtering, normalizing, enriching, and routing logs (e.g., Cribl, Logstash, Azure Data Explorer, custom ETL)
- Experience with Infrastructure-as-Code - Terraform for managing cloud resources (Azure preferred; AWS or GCP transferable), with real experience managing state, modules, and drift
- Experience with DevOps fundamentals - git flow, pu

📌 Sr. Detection Engineer (Bengaluru)
🏢 Docusign
📍 Bengaluru