Senior DevOps Developer operating Boeing’s Azure and Databricks data platforms. Improving cloud reliability, security, automation, and CI/CD for aviation software.
About the role
- DevOps Architect designing and owning AWS infrastructure for Netomi’s enterprise agentic AI platform. Automating deployments, security, observability, and scalable client solutions.
Responsibilities
- Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations
- Lead systems design decisions covering high availability, disaster recovery, multi-account strategy, network topology, and performance at scale
- Build and maintain Infrastructure as Code using Terraform, AWS CDK, or CloudFormation
- Architect and improve CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
- Write production-grade automation and tooling in Python and Bash, and contribute to Java/Node.js services where needed
- Use AI coding and assistant tools to accelerate IaC, scripting, documentation, and troubleshooting while reviewing output for security, correctness, and cost implications
- Lead client-facing workshops, architecture reviews, and technical discussions
- Translate business requirements into technical solutions and explain trade-offs
- Implement observability and drive incident response and post-mortem practices
- Embed security and compliance into infrastructure, including IAM least privilege, encryption, guardrails, and applicable SOC 2 / ISO / PCI requirements
- Mentor engineers and raise the technical bar of the team
Requirements
- 8+ years in DevOps, SRE, or cloud infrastructure roles, including 2+ years in an architect or technical lead capacity
- Deep, hands-on AWS expertise across VPC networking, IAM and Organizations, EC2/ECS/Lambda, RDS/DynamoDB/S3, CloudWatch, and cost optimization
- Proven record of designing distributed systems for scale, resilience, and fault tolerance
- Strong Python and Bash skills for automation; working proficiency in Java or Node.js
- Regular, practical use of AI assistants and coding agents in an engineering workflow
- Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and pushing back when technically necessary
- Hands-on experience with Infrastructure as Code and containers/Kubernetes
- AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional (nice to have)
- Kubernetes certifications (CKA/CKAD) (nice to have)
- Consulting or professional services background (nice to have)
- Experience building AI/LLM capabilities into internal tooling or pipelines (nice to have)
- Multi-cloud exposure (Azure/GCP) (nice to have)
Benefits
- Full Time - Remote
- Equal opportunity employer committed to diversity in the workplace
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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