DevSecOps Senior Engineer/Lead

Intone Inc; Torrance (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Intone Inc is seeking a DevSecOps Senior Engineer/Lead in Torrance, CA for a 12-month contract. You will lead CI/CD, IaC, container platforms, and security throughout development, QA, staging, and production environments.

Collaborate with architecture, security, and operations teams to accelerate delivery and ensure reliability at scale. Responsibilities include building pipelines, managing IaC, container operations, and implementing secure software supply chains while enabling AI-powered

Qualifications

• Bachelor's or Master's degree required.
• 5–10 years of experience in DevOps, DevSecOps, Platform Engineering, Cloud Engineering, or related disciplines for enterprise-scale apps.
• 3+ years in a senior technical role such as DevSecOps Lead, Platform Engineer, Senior DevOps Engineer, or SRE.
• Strong hands-on experience with AWS cloud services including EKS/ECS, Lambda, IAM, VPC, CloudWatch, S3, RDS, Kinesis, MQ, RedShift, Secrets Manager, SNS, SQS, EventBridge, and ElastiCache.
• Strong knowledge of cloud security including IAM, RBAC, encryption, OAuth2/OIDC, JWT, network security, and Zero Trust principles.
• Programming experience in Python, Bash, Go, or similar scripting languages.
• Familiarity with enterprise AI/LLM concepts including Prompt Engineering, RAG, Vector Databases, AI Agents, LLMOps, AI Security Guardrails, and Responsible AI practices.

Responsibilities

• Design, build, and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, AWS CodePipeline, ArgoCD, or similar technologies.
• Infrastructure as Code (IaC) using Terraform, CloudFormation, Helm, and related automation frameworks.
• Build and manage Docker, Kubernetes, and Amazon EKS container platform operations at enterprise scale.
• Implement DevSecOps practices including vulnerability management, secrets management, policy enforcement, compliance validation, and software supply chain security.
• Build and manage observability, monitoring, logging, and alerting solutions using CloudWatch, Prometheus, Grafana, ELK/OpenSearch, Datadog, Splunk, or similar tools.
• Drive platform reliability, resiliency, operational excellence, disaster recovery, and production readiness.
• Leverage AI-assisted engineering tools such as GitHub Copilot, Amazon Q, OpenAI, Claude, Cursor, or similar technologies to improve developer productivity, automation, troubleshooting, and operational efficiency.
• Collaborate with development, architecture, security, and infrastructure teams to improve platform scalability, security posture, developer experience, and engineering productivity.
• Lead cloud modernization, automation, platform engineering, and DevSecOps initiatives while mentoring engineering teams on best practices.

Skills

AWS

Kubernetes

CI/CD

Terraform

IaC

GitOps

Python

Go

Docker

DevSecOps

Security

AI/LLM concepts

Education

Bachelor's degree

Master's degree

Tools

Jenkins

GitLab CI/CD

GitHub Actions

AWS CodePipeline

ArgoCD

CloudFormation

Helm

Docker

Kubernetes

Prometheus

Grafana

ELK/OpenSearch

Datadog

Splunk

CloudWatch

OpenAI

Job description

This is a 12-month contract position for a DevSecOps Senior Engineer/Lead based in Torrance, California. You will lead CI/CD, DevSecOps, cloud platform engineering, and environment management initiatives for digital platforms. This role drives automation, security, observability, reliability, and AI-enabled engineering practices while ensuring development, QA, staging, and production environments remain stable, scalable, and secure. You will partner closely with development, architecture, security, and operations teams to support complex enterprise programs, accelerate software delivery, improve developer productivity through AI-powered tools and automation, and maintain highly available cloud-native platforms.

Responsibilities

• Design, build, and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, AWS CodePipeline, ArgoCD, or similar technologies
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, Helm, and related automation frameworks
• Build and manage Docker, Kubernetes, and Amazon EKS container platform operations at enterprise scale
• Implement DevSecOps practices including vulnerability management, secrets management, policy enforcement, compliance validation, and software supply chain security
• Build and manage observability, monitoring, logging, and alerting solutions using CloudWatch, Prometheus, Grafana, ELK/OpenSearch, Datadog, Splunk, or similar tools
• Drive platform reliability, resiliency, operational excellence, disaster recovery, and production readiness
• Leverage AI-assisted engineering tools such as GitHub Copilot, Amazon Q, OpenAI, Claude, Cursor, or similar technologies to improve developer productivity, automation, troubleshooting, and operational efficiency
• Collaborate with development, architecture, security, and infrastructure teams to improve platform scalability, security posture, developer experience, and engineering productivity
• Lead cloud modernization, automation, platform engineering, and DevSecOps initiatives while mentoring engineering teams on best practices

Qualifications

• Required
  • Bachelor's or Master's degree
  • 5–10 years of experience in DevOps, DevSecOps, Platform Engineering, Cloud Engineering, or related disciplines supporting enterprise-scale applications and distributed systems
  • 3+ years in a senior technical role such as DevSecOps Lead, Platform Engineer, Senior DevOps Engineer, or Site Reliability Engineer (SRE)
  • Strong hands-on experience with AWS cloud services including EKS/ECS, Lambda, IAM, VPC, CloudWatch, S3, RDS, Kinesis, MQ, RedShift, Secrets Manager, SNS, SQS, EventBridge, and ElastiCache
  • Strong knowledge of cloud security including IAM, RBAC, encryption, OAuth2/OIDC, JWT, network security, and Zero Trust principles
  • Programming experience in Python, Bash, Go, or similar scripting languages
  • Familiarity with enterprise AI/LLM concepts including Prompt Engineering, RAG, Vector Databases, AI Agents, LLMOps, AI Security Guardrails, and Responsible AI practices
• Preferred
  • Experience integrating and operating AI/LLM services using AWS Bedrock, Amazon Q, OpenAI, Azure AI, Anthropic Claude, or equivalent enterprise AI platforms
  • Experience supporting LLMOps pipelines, AI model deployment, governance, monitoring, and security
  • AWS, Kubernetes, Terraform, Security, DevOps, AI/ML, or related professional certifications