1 day ago
Remote, United States or Remote, CanadaSenior
Responsibilities
- Design scalable, secure, and cost-efficient AWS architectures for greenfield builds and migrations.
- Lead systems design for 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 automation and tooling in Python and Bash, and contribute to Java or Node.js services as needed.
- Use and critically review AI coding assistants for infrastructure, scripting, documentation, and troubleshooting work.
- Lead client-facing workshops, architecture reviews, and technical discussions with technical and executive stakeholders.
- Implement observability with CloudWatch, Datadog, or similar tools and drive incident response and post-mortem practices.
- Embed security and compliance into infrastructure through least-privilege IAM, encryption, and guardrails.
- Mentor engineers and raise the team’s technical standards.
Requirements
- At least 8 years of experience in DevOps, SRE, or cloud infrastructure roles, including at least 2 years in an architect or technical lead capacity.
- Deep hands-on AWS expertise across VPC networking, IAM, Organizations, EC2, ECS, Lambda, RDS, DynamoDB, S3, CloudWatch, and cost optimization.
- Proven experience designing distributed systems for scale, resilience, and fault tolerance.
- Strong Python and Bash skills, with working proficiency in Java or Node.js.
- Regular practical use of AI assistants and coding agents, with the ability to verify their security, correctness, and cost implications.
- Experience leading client or stakeholder engagements, presenting architectures to leadership, managing expectations, and challenging technically unsound requests.
- Hands-on experience with Infrastructure as Code and containers or Kubernetes.
- Preferred qualifications include AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification, Kubernetes certifications such as CKA or CKAD, consulting or professional services experience, experience building AI/LLM capabilities into internal tooling or pipelines, and Azure or GCP exposure.
Tech Stack
Amazon DynamoDBAWSAzureBashDatadogGitHub ActionsGitLab CI/CDGoogle Cloud PlatformJavaJenkinsKubernetesNode.jsPythonTerraform
Categories
About Netomi
Netomi builds an agentic AI platform for enterprise customer experience, automating support across chat, email, and voice through a no-code, SaaS model. Founded in 2016 and headquartered in San Mateo, it is used by global brands such as Delta Air Lines, United Airlines, and MetLife, and is backed by investors including WndrCo, Accenture Ventures, Adobe Ventures, Y Combinator, and Index Ventures.