Nexla

Role Description As a Customer Success Engineer at Nexla, you will serve as the critical technical bridge between our global customer base and our internal Engineering teams. In this role, you won't just close tickets; you will own the technical resolution process end-to-end. Leveraging your expertise in Python, SQL, and REST APIs, you will perform deep investigations into complex data integration issues, drive root cause analysis, and ensure our customers achieve their data goals. If you thrive in a 24x7 global environment and love digging into logs to solve intricate problems, this role is for you. Responsibilities - Perform deep technical investigations and solve complex issues reported by customers or proactively identified by Ops/L1 team. - Take end-to-end ownership of customer cases, including initial troubleshooting, identification of root cause, and case resolution. - Provide troubleshooting support to Nexla customers via multiple channels (email, support tickets, slack, virtual meetings, etc.). - Help customers round the clock and should be willing to work in shifts in a 24x7 work environment. - Investigate incidents utilizing the Nexla environment, connectors, logs, and other troubleshooting tools. - Drive root cause analysis in close partnership across several Engineering teams. - Document any known or newly identified solutions in our knowledge base and share this knowledge across the team. - Use judgment and effective communication skills to compose timely Global Alerts and issue visibility correspondence to other field teams like Sales, Customer Success. - Provide Support for product releases. Qualifications - Willingness to work in rotational shifts (including nights and weekends). - Minimum of 3-5 years of relevant work experience in technical support or related fields. - Strong dedication to customer satisfaction and advocacy. - Excellent written and verbal communication skills in English. - Highly developed, process-oriented skills for troubleshooting, problem-solving, and issue resolution. - Strong teamwork skills with a commitment to fostering a positive, ego-free workplace culture. - Ability to work in a fast-paced, highly collaborative, and global environment. - Excellent analytical abilities with strong attention to detail. - Technical Proficiency: - Strong Python programming. - Intermediate to advanced experience with databases (SQL, Oracle, Postgres, MySQL, MS SQL Server). - Extensive experience and a solid understanding of REST APIs and various authentication mechanisms (OAuth2, SSO, token-based authentication). - Proficiency in quickly writing Python or Shell scripts to assist in debugging or setting up alerts. - Good knowledge of data operations, especially with file formats such as CSV, XML, JSON, and Parquet. - Familiarity with Apache Airflow is an added advantage. - Experience with multiple operating systems, including Windows and UNIX/Linux. Location - Anywhere in India (preferably Bangalore). Benefits - Opportunity to work at the forefront of the GenAI revolution. - Be part of a critical layer of the modern data stack that powers the AI economy. - Work with industry titans like LinkedIn, DoorDash, and J&J. - Contribute to building infrastructure that democratizes data access for the next decade of innovation. - Engage in solving the hardest problems in data engineering.

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.

• Perform deep technical investigations and solve complex issues reported by customers or proactively identified by Ops/L1 team • Take end-to-end ownership of customer cases, including initial troubleshooting, identification of root cause, and case resolution. • Provide troubleshooting support to Nexla customers via multiple channels (email, support tickets, slack, virtual meetings, etc.) • Help customers round the clock and should be willing to work in shifts in a 24x7 work environment. • Investigate incidents utilizing the Nexla environment, connectors, logs, and other troubleshooting tools. • Drive root cause analysis in close partnership across several Engineering teams. • Document any known or newly identified solutions in our knowledge base and share this knowledge across the team. • Use judgment and effective communication skills to compose timely Global Alerts and issue visibility correspondence to other field teams like Sales, Customer Success • Provide Support for product releases