Lead Platform Engineer, AI and DevSecOps

Job summary

Lead platform and DevSecOps operations for production SaaS systems and agentic AI capabilities, setting the roadmap for reliability, security, deployment maturity, and developer productivity. Design and operate AWS infrastructure, including Bedrock and AgentCore services, while improving CI/CD, infrastructure automation, observability, AI evaluations, governance, and incident response for regulated-industry workloads. Establish shared engineering practices and mentor teams to strengthen operational ownership.

Qualifications

• At least 10 years of experience in DevOps, DevSecOps, SRE, platform engineering, cloud infrastructure, or a related engineering role.
• Track record designing and operating production AWS infrastructure for SaaS or enterprise software.
• Experience leading technical strategy, mentoring engineers, influencing cross-functional teams, and improving engineering culture.
• Hands-on experience with infrastructure as code, CI/CD, containers, configuration management, scripting, and operational automation.
• Understanding of AWS services including EC2, ECS, IAM, RDS, S3, Lambda, CloudWatch, OpenSearch, and related networking and security services.
• Practical knowledge of secure SDLC, application security, privacy, compliance, auditability, and risk management in regulated environments.
• Experience with observability practices and platforms, including metrics, logs, traces, SLOs, alerting, dashboards, and incident response.
• Familiarity with AI infrastructure and production monitoring, evaluations, governance, cost optimization, and safe release practices for non-deterministic systems.
• Knowledge of secrets management, certificates, authentication, authorization, encryption, and cloud security controls.
• Experience with vulnerability management and security tooling such as SCA, SAST, DAST, IAST, RASP, penetration testing, and security monitoring.
• Strong communication, collaboration, leadership, analytical, and troubleshooting skills.

Responsibilities

• Own and evolve the DevSecOps, platform engineering, and AI operations roadmap.
• Design, implement, and operate secure, scalable, fault-tolerant AWS infrastructure for SaaS and AI workloads.
• Automate deployment, provisioning, compliance, monitoring, and support processes.
• Lead operational maturity for AWS Bedrock, AgentCore, and agentic AI workflows, including governance, observability, evaluations, and cost management.
• Monitor platform reliability, cloud and token costs, model usage, latency, errors, deployment performance, and operational toil.
• Define and improve CI/CD, infrastructure-as-code, and release-management practices.
• Lead incident response, root-cause analysis, post-incident reviews, and reliability improvements.
• Strengthen security across cloud infrastructure, CI/CD, secrets, access controls, vulnerability scanning, and software supply chains.
• Establish shared engineering standards and paved paths for safe software delivery.
• Mentor platform, DevOps, and software engineers and foster operational ownership across teams.

Skills

Certifications

Industry

Relocation