(AME4768) DevSecOps Senior Engineer/Lead

POSITION IS LOCATED IN TORRANCE, CA

Minimum Educational Qualifications - BS/MS degree

The DevSecOps Senior Engineer/Lead at the Digital Services Development is responsible for leading CI/CD, DevSecOps, cloud platform engineering, and environment management 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. The individual partners 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.

Key Responsibilities:

• 5-10 years of experience in DevOps, DevSecOps, Platform Engineering, Cloud Engineering, or related disciplines supporting enterprise-scale applications and distributed systems.
• 3+ years of experience 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, ElastiCache etc.
• 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.
• Strong experience with Docker, Kubernetes, Amazon EKS, and container platform operations.
• Implement DevSecOps practices including vulnerability management, secrets management, policy enforcement, compliance validation, and software supply chain security.
• Strong knowledge of cloud security including IAM, RBAC, encryption, OAuth2/OIDC, JWT, network security, and Zero Trust principles.
• Build and manage observability, monitoring, logging, and alerting solutions using CloudWatch, Prometheus, Grafana, ELK/OpenSearch, Datadog, Splunk, or similar tools.
• Programming experience in Python, Bash, Go, or similar scripting languages.
• Drive platform reliability, resiliency, operational excellence, disaster recovery, and production readiness.
• Experience leveraging 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.
• Familiarity with enterprise AI/LLM concepts including Prompt Engineering, RAG, Vector Databases, AI Agents, LLMOps, AI Security Guardrails, and Responsible AI practices.
• 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.

Desired Skills:

• 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.

The hiring range for this position is $55.00 to $62.00 per hour, which factors in various geographic regions. The base pay rate actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.