• Own reliability and operability of 1 to 2 production services, including services on the money path. • Design and maintain CI/CD pipelines that enable frequent, safe deployments. • Define and improve observability across metrics, logs, and alerts. • Participate in on call rotations and lead incident response when needed. • Identify and reduce operational risk by improving resilience and failure handling. • Automate repetitive operational workflows such as deployments, rollbacks, and recovery steps. • Partner with Backend, Security, and Infra teams to translate system requirements into infrastructure solutions • Improve reliability metrics such as availability, MTTR, alert quality, and incident frequency.

• Own the full lifecycle of our Azure production environment and provide expert support to our development teams. • Design and maintain production-grade Azure infrastructure using Bicep, ensuring all resources from networking to application services are managed as code. • Implement and manage Azure API Management (APIM), Azure App Gateway, and Azure Front Door to ensure secure, scalable, and high-performance application delivery. • Deploy and operate containerized workloads on Azure Kubernetes Service (AKS), including cluster optimization, Helm chart management, and advanced networking configurations. • Support and manage Azure Event Hubs with Kafka protocol support for real-time data streaming and event-driven microservices. • Develop end-to-end YAML pipelines in Azure DevOps for automated provisioning and application deployment, integrating gates and automated testing. • Own the reliability of the Azure environment by monitoring health via Azure Monitor and Application Insights, leading incident response, and performing Root Cause Analysis (RCA). • Enforce Azure Security services, including Entra ID (Azure AD) RBAC, Managed Identities, Azure Key Vault for secrets, and Azure Policy for governance and compliance. • Collaborate with developers to integrate code into pipelines, manage Git branching strategies, and provide mentorship on cloud-native best practices.

Maintain system reliability and performance for healthcare imaging platforms by monitoring infrastructure, optimizing SQL database performance, and leading deployment rollouts, ensuring high availability and proactive incident management.

Role Description 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. Responsibilities - 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. Qualifications - 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. Benefits - 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. - Small team, big problems. - Recognized platform with startup energy. Location and Compensation - Pune (highly preferred) or Bengaluru. Why Build Your Future at Nexla? We are standing at the precipice of the GenAI revolution, but the biggest bottleneck isn't the models, it's the data. By joining Nexla, you aren’t just entering a company; you are stepping into the critical layer of the modern data stack that powers the AI economy. We are the Data Fabric that enables industry titans like LinkedIn, DoorDash, and J&J to turn messy, siloed data into ready-to-use products for RAG and predictive models. This is your opportunity to move beyond simple tooling and build the actual infrastructure that democratizes data access for the next decade of innovation. If you want to solve the hardest problems in data engineering and own a piece of a market projected to hit billions, your career belongs here.