Senior Security Engineer

The Opportunity

Deepgram is looking for a Senior Security Engineer to build and automate the technical controls behind our security program. Most of our infrastructure is bare metal in colocation datacenters — GPU-intensive, running containerized workloads on Docker, managed with Ansible, and shipped through CI/CD on GitHub Actions — with AWS used for overflow capacity and a small set of services. Our engineering culture is high-trust and fast-moving. That means controls have to be delivered as code, be reproducible, and produce their own audit evidence — anything that depends on someone remembering to do it manually will not survive.

You will own real surface area: host hardening and configuration management across the fleet, vulnerability and patch management, penetration testing, container security, detection and response, CI/CD and supply chain security, and the engineering work behind our SOC 2, PCI DSS, and ISO 27001 obligations. You will also be expected to use AI and agentic tooling aggressively to punch above your weight on a small team, and to help us secure the AI systems we build and the AI tools we adopt internally.

This is the hands-on technical seat. A GRC and Security Compliance Lead owns policy authorship, security questionnaires, and the auditor relationship; you own the controls themselves and the evidence they generate, and you give that role the technical answers it needs.

This role reports to the Director of Information Security.

Note: as reflected on our published compensation ranges, we are open on level. Strong mid-level and senior candidates are both in scope, and we will calibrate title, scope, and compensation to demonstrated experience.

About Deepgram

Deepgram builds foundational voice AI — speech-to-text, text-to-speech, and voice agent infrastructure — used by enterprises and developers to build production voice applications at scale. Our models are trained and served on our own infrastructure, and we offer hosted, dedicated single-tenant, and self-hosted deployment options so customers can meet their own data residency and retention requirements. Learn more at deepgram.com .

Responsibilities

• Build, deploy, and maintain security controls across our bare-metal fleet and AWS footprint — access management, network segmentation and firewalling, encryption and secrets management, logging and detection coverage, endpoint security, and vulnerability management.
• Own configuration management and host hardening as code with Ansible, so baselines are reproducible across hundreds of Linux hosts and drift is detectable rather than merely documented.
• Secure containerized workloads: Docker image build pipelines, registry scanning, runtime hardening and detection, and secrets management.
• Run vulnerability management end to end — discovery, prioritization by real exploitability rather than raw CVSS, driving remediation with engineering teams, and reporting on it.
• Own patch and update management as a program: the server fleet, the endpoint fleet, base images, OS and package updates, firmware where it matters, and dependency upgrades. Set and hold patch SLAs, track exceptions, and automate the routine cases so they do not depend on anyone remembering.
• Own the penetration testing lifecycle: scoping and vendor selection, scheduling, triaging findings into engineering work with real owners and dates, verifying fixes on retest, and producing the summary we can share with customers.
• Write detections, tune out noise, and take part in incident response. Improve log, telemetry, and security-agent coverage where we are blind.
• Run periodic log and access reviews as a standing control, and automate the collection so each cycle produces its own evidence rather than a scramble.
• Automate compliance evidence collection for SOC 2, PCI DSS, and ISO 27001, and support audit fieldwork on technical questions — the GRC lead owns the auditor relationship and the narrative; you own the systems that make the evidence true and repeatable.
• Harden GitHub Actions CI/CD and the software supply chain: dependency and secret scanning, action pinning, SBOM, artifact and image signing, least-privilege OIDC in place of long-lived credentials.
• Apply AI and agentic tooling to security work — triage, evidence gathering, code review, detection engineering — and help secure how the rest of the company uses AI.
• Provide the technical input behind customer-facing security work: questionnaire and architecture answers, penetration test summaries, and hardening guidance for customers running Deepgram self-hosted.
• Partner with research, ML infrastructure, and SRE teams to secure GPU training and inference systems. Threat-model them with the people who run them, and agree on controls before building.
• Own the roadmap for your workstreams: set priorities and milestones, keep stakeholders informed, and bring recurring risks and root causes to leadership.

Skills Needed

• Solid experience in security engineering or infrastructure engineering with a security focus — enough that you have owned controls in production, not just recommended them.
• You’ve built a security roadmap with engineering or research leaders: you set milestones, got buy-in from the teams who own the systems, and delivered it. You can explain your trade-offs and the specific decisions you made, not just the frameworks you followed.