Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We’re a small but rapidly growing company, which means there’s lots of room for growth and learning opportunities abound!
Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table.
Senior DevOps Engineer — Agentic AI Platform
Location: Remote | Full-time | Competitive Compensation
At Apiphani, we’re building the future of infrastructure automation through agentic AI. As a Senior DevOps Engineer, you’ll design, deploy, and manage the core infrastructure that powers our platform — ensuring reliability, scalability, and observability across environments.
You’ll work closely with software engineers, QA, and product teams to build a secure, automated, and cloud-native foundation. This role combines hands-on cloud engineering with infrastructure-as-code, CI/CD automation, and AI system enablement.
What You’ll Do
- Design, provision, and maintain AWS-based infrastructure for production and development environments
- Build and optimize CI/CD pipelines using GitHub Actions to support multi-language deployments
- Manage container orchestration and deployments using Kubernetes and Docker
- Implement Infrastructure as Code using Terraform and Terragrunt, with strong versioning and reusability practices
- Configure observability and monitoring for AWS services using CloudWatch, CloudTrail, and related tools
- Set up and manage secret management systems (AWS Secrets Manager, Parameter Store, or Vault)
- Oversee database infrastructure, with a focus on PostgreSQL and SQL migration workflows
- Create and maintain infrastructure diagrams and documentation for visibility and auditing
- Implement cost and billing management strategies to optimize AWS spend and efficiency
- Develop automation scripts and utilities using Bash, Python, or Node.js
- Deploy and support Lambda-based serverless workloads
- Collaborate with AI and application teams to ensure infrastructure readiness for AI workloads and data pipelines
- Establish best practices for infrastructure reliability, scalability, and security
What We’re Looking For
- 5+ years of experience in DevOps, Cloud Engineering, or Infrastructure roles
- Deep expertise with AWS services (EC2, S3, RDS, Lambda, CloudFormation, CloudWatch, etc.)
- Strong background in Kubernetes administration and containerized deployments
- Proven experience writing and managing Infrastructure as Code using Terraform and Terragrunt
- Hands-on experience managing CI/CD workflows with GitHub Actions
- Proficiency in scripting with Bash, Python, and/or Node.js for automation tasks
- Understanding of PostgreSQL administration, SQL schema management, and migrations
- Experience with observability and monitoring in AWS environments
- Familiarity with cost optimization and billing management for AWS accounts
- Knowledge of secret management solutions (AWS Secrets Manager, Vault, or equivalent)
- Ability to create clear infrastructure documentation and architecture diagrams
- Exposure to AI/ML stacks or interest in supporting agentic AI applications
Bonus Points
- Experience with container security and policy enforcement tools
- Familiarity with AI-related compute infrastructure (e.g., GPU instances, SageMaker, Bedrock)
- Understanding of networking concepts including VPC design, subnets, and load balancing
- Contributions to open-source IaC or DevOps tooling
- AWS certification or equivalent cloud credential
Why Join Apiphani
You’ll be part of a highly technical, fast-moving team building the foundation for a new generation of agentic AI systems. This is an opportunity to own our infrastructure roadmap — from design and automation to observability and AI enablement. Everything you build will directly power the next phase of intelligent enterprise operations.
- Medical/dental/vision - 100% paid for employees, 50% paid for dependents
- Life and disability - 100% paid for employees
- 401K - 3% contribution, no employee contribution necessary
- Education and tuition reimbursement - up to $50K annually
- Employee Stock Options Plan
- Accident, critical illness, hospital indemnity benefits offered through our providers
- Employee Assistance Program
- Legal assistance
- Paid Time Off - up to 6 weeks per year
- Sick Leave - up to 2 weeks per year
- Parental Leave - up to 12 weeks
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
