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Added 5 mins ago
A
Electrical Engineer
Actalent
Halfmoon, NY
- $120,000 to $160,000 USD / year
We are seeking an Electrical Engineer to join a growing product development team focused on LED lighting systems, power electronics, and driver technologies. This role will be responsible…
Added 7 mins ago
J
Senior Electrical Engineer
Jobgether
Remote, United States
- $120,000 to $150,000 USD / year
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Added 23 mins ago
Civil Engineering Specialist - Road Design
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- $40 to $50 USD / hour
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Added 40 mins ago
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- $170,000 to $210,000 USD / year
…traditional insurance operations. As a Senior Infrastructure Security Engineer, you will play a dual role in strengthening cloud infrastructure and establishing robust security practices…
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Added 47 mins ago
Lead Platform Engineer, AI and DevSecOps
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Remote, United States
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…
Added 47 mins ago
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Added 52 mins ago
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Added 1 hour ago
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Providence, RI
- $40 to $50 USD / hour
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
Pre-Sales Solutions Engineer-Hyperscaler
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San Jose, CA · Pleasanton, CA · Concord, NH · San Bruno, CA · Milpitas, CA · Mountain View, CA · Los Altos, CA · Redwood City, CA · San Francisco, CA · Santa Clara, CA · Fremont, CA · San Mateo, CA · Sunnyvale, CA · Palo Alto, CA
…environment. Our team culture thrives on creativity, teamwork, and continuous improvement, focusing on advancing systems through innovative network architectures. This role offers the…

RadarFirst

Lead Platform Engineer, AI and DevSecOps

Remote, United States

The salary range for this role is $155,000 - $175,000

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Job details

Pay: The salary range for this role is $155,000 - $175,000
Experience: 10+ years of experience in DevOps, DevSecOps, SRE, platform engineering, cloud infrastructure, or a closely related engineering role.
Posting language: English
Posted: Oct 13, 2026

Original job 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.

AI Operations

Lead the operational maturity of RadarFirst's agentic AI platform, including the management of AWS Bedrock, AgentCore, AgentCore Gateway, agent/tool governance, policy controls, observability, evaluation workflows, and cost management.
Build observability across infrastructure, applications, and agentic workflows, including logs, metrics, traces, token usage, latency, error rates, tool invocation behavior, evaluation results, and customer-impacting SLOs.
Partner with Engineering, Product, Security, Compliance, and Customer-facing teams to ensure AI systems meet expectations for regulated industries, including auditability, access control, privacy, traceability, incident response, and defensible governance.
Define and evolve CI/CD, infrastructure-as-code, and release-management practices that improve speed, safety, reproducibility, and rollback confidence.

Security and Governance

Lead incident response and reliability improvement efforts, including post-incident reviews, root-cause analysis, alert tuning, runbooks, operational readiness reviews, and long-term remediation.
Maintain and improve security practices across cloud infrastructure, CI/CD, secrets management, authentication, authorization, vulnerability scanning, and software supply chain controls.

Leadership and Culture

Create shared engineering standards and paved paths that help product engineers ship safely without waiting on bespoke DevOps support.
Drive a DevOps-forward engineering culture by reducing team silos, improving ownership models, clarifying operational responsibilities, and coaching teams on secure, observable, supportable software delivery.
Mentor DevOps, platform, and software engineers; help develop future technical leaders and raise the organization's operational bar. Opportunity exists for people management for a small team.

Qualifications

10+ years of experience in DevOps, DevSecOps, SRE, platform engineering, cloud infrastructure, or a closely related engineering role.
Proven track record designing and operating production AWS infrastructure for SaaS or enterprise software environments.
Experience leading technical strategy, mentoring engineers, influencing cross-functional teams, and improving engineering culture.
Strong hands-on experience with infrastructure as code, CI/CD, containerization, configuration management, scripting, and operational automation.
Experience with AWS services such as EC2, ECS, IAM, RDS, S3, Lambda, CloudWatch, OpenSearch, and related networking and security services.
Practical understanding of secure SDLC, application security, privacy, compliance, auditability, and risk management in regulated customer environments.
Experience with observability platforms and practices, including metrics, logs, traces, SLOs, alerting, dashboards, and incident response.
Familiarity with AI infrastructure, LLMOps, AgentOps, or MLOps concepts, especially production monitoring, evaluations, governance, cost optimization, and safe release practices for non-deterministic systems.
Strong understanding 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.
Excellent communication, collaboration, leadership, analytical, and troubleshooting skills.

Strong Plus

Hands-on experience with AWS Bedrock, Amazon Bedrock AgentCore, AgentCore Gateway, or comparable agentic AI platforms.
Experience implementing LLM or agent evaluation frameworks, including automated regression tests, golden datasets, human review workflows, prompt/version management, safety checks, and release thresholds.
Experience building governance for agent tool access, including policy enforcement, identity, permissions, audit trails, redaction, approval flows, and controlled access to internal systems.
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/security-sensitive industries.
SaaS scale-up experience.
Certifications or training such as SANS/SEC-540, SSCP, CISSP, CAP, CSSLP, HCISPP, AWS Certified DevOps Engineer, AWS Certified Security Specialty, or AWS Certified Machine Learning Specialty.

Research shows that people who identify as being from underrepresented groups are more likely to doubt the strength of their qualifications, so we encourage you to submit an application if you're interested in this role despite any reservations you may have about your background or skill set.

Who We Are

At RadarFirst, our mission is to make regulatory risk and data privacy simple, actionable, and sustainable.

We’re transforming how organizations handle incidents and compliance with automated, purpose-built SaaS solutions. Recognized as pioneers in privacy, we’ve earned patents, industry awards, and the confidence of some of the world’s most highly regulated industries, from healthcare and insurance to finance and beyond.

Our Values

Build What’s Next
Be Good People
Own the Outcome
Customer Success is Our Success
True Transparency

Why Join RadarFirst?

At RadarFirst, our team is filled with smart, thoughtful, and forward-thinking contributors who are experts at what they do. Our culture of innovation and trust is paramount to our success. We work hard, but we also encourage and support a healthy work/life balance. We offer a generous package of benefits and perks that make RadarFirst a great place to work, including:

Comprehensive benefits that include medical and dental, 401k, Life and Disability insurance, generous flexible time off policy, paid holiday time, and 12 weeks paid parental leave. Plus flexible spending accounts for medical, dependent care, and commuter expenses
Community outreach programs to encourage giving back to our community both as a group and individually
Commitment to anti-racism work and accountability to our short-term and long-term equity & inclusion action plan

RadarFirst is a community-first organization, operating on a hybrid model. We actively support all employees working in the way they need. For those who wish to work from the office, these are some features of our downtown Portland office:

On-site amenities such as indoor bike racks, showers, lockers, and gym facilities
Casual work environment in an ideal central location, close to great food, shopping, and transportation options

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

The salary range for this role is $155,000 - $175,000

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More about this job

Skills

AWS
DevOps
Incident response
TypeScript
Go
Ansible
Docker
IBM Terraform
Python
Bash
Datadog
Git
Jira
Slack
PostgreSQL
Identity and access management
Regulatory compliance
Cost management
CI/CD
Infrastructure as code
Root cause analysis
Supply chain management
Leadership
Coaching
Team leadership
Penetration testing
Communication skills
Collaboration
Troubleshooting
CISSP
AWS certification
Machine learning
Research

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