Lead Platform Engineer, AI and DevSecOps
Hands-on technical lead role owning RadarFirst's cloud platform, DevSecOps, and agentic AI operations on AWS (Bedrock, AgentCore, ECS, Terraform, Go/Python). The engineer designs secure, observable SaaS infrastructure and CI/CD, runs incident response and AI governance for regulated customers, and mentors engineers while fostering a DevOps culture.
- Compensation
- $155K–$175K / yr
- Location
- United States, Remote
- Work setup
- Remote
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- 10+ years in DevOps, DevSecOps, SRE, platform engineering, cloud infrastructure, or related role
- Proven track record designing and operating production AWS infrastructure for SaaS or enterprise software
- Experience leading technical strategy, mentoring engineers, and influencing cross-functional teams
- Strong hands-on experience with infrastructure as code, CI/CD, containerization, configuration management, scripting, and operational automation
- Experience with AWS services (EC2, ECS, IAM, RDS, S3, Lambda, CloudWatch, OpenSearch) and related networking/security services
- Practical understanding of secure SDLC, application security, privacy, compliance, auditability, and risk management in regulated environments
- Experience with observability platforms and practices: metrics, logs, traces, SLOs, alerting, dashboards, incident response
- Familiarity with AI infrastructure, LLMOps, AgentOps, or MLOps concepts including monitoring, evaluations, governance, and cost optimization
- Strong understanding of secrets management, certificates, authentication, authorization, encryption, and cloud security controls
- Experience with vulnerability management and security tooling (SCA, SAST, DAST, IAST, RASP, penetration testing, security monitoring)
- Excellent communication, collaboration, leadership, analytical, and troubleshooting skills
Nice to have
- Hands-on experience with AWS Bedrock, AgentCore, AgentCore Gateway, or comparable agentic AI platforms
- Experience implementing LLM or agent evaluation frameworks (regression tests, golden datasets, human review, prompt/version management)
- Experience building governance for agent tool access (policy enforcement, identity, permissions, audit trails, redaction)
- Experience with OpenTelemetry, CloudWatch, Datadog, Langfuse, Arize/Phoenix, Promptfoo, TruLens, OpenAI Evals, or similar AI observability/evaluation tools
- Experience with regulated customers in healthcare, insurance, financial services, government, or privacy-sensitive industries
- SaaS scale-up experience
- Certifications such as SANS/SEC-540, SSCP, CISSP, CAP, CSSLP, HCISPP, AWS Certified DevOps Engineer, AWS Security Specialty, or AWS ML Specialty
Full description
Job Summary
RadarFirst is seeking a Lead Platform Engineer, AI & DevSecOps Engineer to lead the next stage of our cloud, security, reliability, and AI operations maturity. This role will own the platforms, practices, and operating model that enable our engineering teams to build, deploy, monitor, secure, and continuously improve production SaaS systems and agentic AI capabilities.
Since launching RadarFirst's first agentic AI offering using AWS Bedrock, Amazon Bedrock AgentCore, and AgentCore Gateway, we are expanding the DevOps remit to include production-grade AI infrastructure and operations. The person in this role will help mature the environment required by customers in highly regulated industries, including governance, secure agent/tool access, observability, continuous LLM and agent evaluations, traceability, incident response, cost controls, and operational readiness for future agent development.
This is a hands-on technical leadership role. The right candidate is an experienced platform, DevSecOps, or SRE leader who can set direction, build shared engineering practices, mentor others, and create a more DevOps-forward engineering culture across historically siloed teams.
This position can be based out of our HQ in Portland, OR, or remote from anywhere in the U.S.
Our Technical Stack
Our front end is built with Angular and Material Design, using TypeScript for strong typing and maintainability. Backend services are written in Go and Nest.js.
Technologies currently in use include Packer, Ansible, Docker, Terraform, CloudFormation, Python, Go, Bash, Datadog, Git, TeamCity, Jira, Slack, and Google's productivity suite.
We deploy on AWS using EC2, ECS, RDS-hosted PostgreSQL, S3, OpenSearch, Lambda, SES, CloudWatch, IAM, and related AWS services. Our agentic AI environment uses AWS Bedrock, Amazon Bedrock AgentCore, and AgentCore Gateway, with a growing need for AI-specific observability, evaluation, governance, and operational automation.
Essential Responsibilities & Duties
Platform and Reliability
- Own and evolve the DevSecOps, platform engineering, and AI operations roadmap, with clear goals for reliability, security, deployment maturity, developer productivity, auditability, and customer readiness.
- Design, implement, and operate secure, scalable, fault-tolerant AWS infrastructure for SaaS and AI workloads.
- Implement automation to reduce manual deployment, provisioning, compliance, monitoring, and support work.
- Monitor platform KPIs and cost drivers, including cloud spend, token consumption, model usage, latency, error rates, deployment frequency, change failure rate, recovery time, and operational toil.