Senior DevOps Engineer

Nexla is the leading Integration platform, built with AI, for AI. Nexla takes a metadata driven approach to converge diverse integrations across Data, Documents, Agents, Applications, and  APIs into a single design pattern. We accelerate the development of solutions for GenAI, Analytics, and Inter-company data. Nexla makes data users and developers up to 10x more productive by delivering a true blend of no-code, low-code, and pro-code interfaces.

Leading companies including DoorDash, LinkedIn, Johnson & Johnson, and LiveRamp trust Nexla for mission-critical data. Named in the 2022, 2023, and 2024 Gartner Magic Quadrant™ for Data Integration Tools and top-rated by customers on Gartner Peer Insights, Nexla is a remote-first company headquartered in San Mateo, California.

At Nexla, our culture is built around our core values: Have Empathy, Be Curious, Be Intellectually Honest, Achieve Excellence, and Remember to Relax. We put our customers at the heart of everything we do, foster a data-driven mindset, take ownership of our work, and believe in the power of teamwork to achieve ambitious goals.

As a Senior DevOps Engineer, you will be the backbone of Nexla’s high-scale, AI-driven integration platform. We are seeking a dedicated infrastructure expert to ensure our systems run flawlessly as we process billions of rows of data for top-tier enterprises. By taking ownership of our core infrastructure, CI/CD pipelines, and Kubernetes environments, you will directly accelerate our engineering team's productivity and guarantee the reliability of mission-critical data flows. This is a unique opportunity to shape the foundation of a product that is defining the next wave of intelligent, context-aware data movement.

• →Kubernetes Management: Take end-to-end ownership of Amazon EKS infrastructure, specifically managing the creation, scaling, and seamless version upgrading of clusters.
• →CI/CD Automation: Design, implement, and optimize robust CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI to ensure rapid, secure software delivery.
• →Infrastructure as Code (IaC): Architect, provision, and maintain cloud infrastructure utilizing IaC principles with Terraform.
• →Configuration Management: Automate server provisioning and application deployment processes, primarily using Ansible.
• →Cloud Architecture & Security: Design and explain AWS architectures while identifying and deploying cybersecurity measures through continuous vulnerability assessments.
• →Operational Excellence: Drive engineering teams toward SecDevOps best practices and create monitoring dashboards by integrating API statuses and application logs.
• →Incident Management: Perform root cause analysis and lead incident management to facilitate rapid iteration and massive growth.
• →Collaboration: Partner with SREs, L2/Support, and developers to deploy and scale new product features and improve production monitoring in a large-scale Linux environment.

• Experience: 8+ years of total experience, with a strong focus specifically in DevOps and SRE.
• EKS Mastery (Must Have): Proven hands-on experience in the creation and upgrading of Amazon EKS clusters.
• CI/CD Expertise (Must Have): Deep understanding of continuous integration practices and CI/CD methodology for both containerized and non-containerized applications.
• IaC (Must Have): Advanced proficiency in Infrastructure as Code using Terraform (and AWS CloudFormation).
• Configuration Management: Experience with configuration management tools; Ansible is highly preferred (experience with Chef or Salt is also valued).
• Technical Breadth: Strong understanding of Linux systems administration, networking, and large cluster orchestration
• Cloud Services: Hands-on experience with AWS cloud services including IAM, VPC, EC2, S3, Lambda, ECS, and API Gateway.
• Programming: Proficiency in at least one programming language such as Python.
• Soft Skills: Excellent communication and organizational skills, with a proven ability to coordinate effectively within a team and with customers.

• Impact at scale from day one. Your code processes billions of rows for companies like DoorDash and LinkedIn.
• The AI wave is real for us. We're not bolting AI onto a legacy product. Intelligent connectors, context-aware data movement, and agentic workflows are the core of what we're building next.
• Small team, big problems. You'll have direct access to the CTO, real influence over product direction, and the autonomy to make significant technical bets.
• Recognized platform with startup energy. The credibility of enterprise validation with the speed and ownership of an early-stage company.