Role Description We at Coforge are hiring a Senior Data Site Reliability Engineer (#20669) with the following skill set. - Ensure the reliability, scalability, and performance of data platforms built on Databricks and Microsoft Azure. - Design, implement, and maintain CI/CD pipelines, cloud infrastructure, and automated deployment processes using Azure DevOps and Terraform. - Monitor, troubleshoot, and optimize data workloads, cloud environments, and platform stability while supporting incident and release management processes. - Collaborate with data engineering and platform teams to improve operational excellence, production reliability, cost optimization, and continuous platform improvements. Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or equivalent practical experience. - 5+ years of experience in Site Reliability Engineering, Data Engineering, Cloud Engineering, or related technical roles. - Strong SQL expertise including data querying, optimization, troubleshooting, and performance tuning. - Strong scripting skills in Python and Bash for automation and operational workflows. - Hands-on experience designing and managing CI/CD pipelines using Azure DevOps, including environments, triggers, permissions, and project administration. - Strong experience with Terraform and infrastructure-as-code practices. - Strong expertise in Microsoft Azure services including compute, storage, networking, and containerization technologies. - Experience working with Databricks technologies including Unity Catalog, Delta Lake, and Lakehouse Federation. - Solid experience in incident management, troubleshooting, post-mortems, runbooks, and stakeholder communication. - Experience managing production releases, release coordination, and ensuring stable deployment cycles. Requirements - Experience with observability and monitoring tools such as Prometheus or Grafana. - Background in data engineering, distributed systems, or big data technologies such as Apache Spark. - Experience optimizing cloud cost, platform performance, and scalability. - Familiarity with DevOps culture and Infrastructure as Code best practices. Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description The DevOps Team lead reports to the Sr. Director, DevOps & IT. It is a hands-on technical lead position with no direct people-management responsibilities. The position is responsible for building and maintaining the infrastructure that powers Datassential’s applications and data platforms. We focus on automation, reliability, and scalability to ensure our systems remain secure, efficient, and resilient. Our goal is to provide a strong, stable foundation that allows our engineering teams to deliver high-quality products quickly and reliably. - Build, manage, and enhance automated CI/CD pipelines on Buildkite and AWS and GCP-based infrastructure. - Implement and manage cloud infrastructure using Terraform. - Collaborate closely with development teams to understand requirements and troubleshoot application and infrastructure issues. - Own uptime management and platform observability. - Partner with other senior engineers on design, architecture, implementation, and security. - Help organize the team's day-to-day operations. - Own the health of our Jira boards. - Represent DevOps in stakeholder meetings. - Champion best practices and contribute to architectural direction. Qualifications - 8–12 years of experience in DevOps. - Extensive hands-on experience managing AWS cloud infrastructure (GCP exposure is a plus). - Expert-level proficiency with Infrastructure as Code (Terraform). - Strong experience with modern CI/CD pipeline tooling — Buildkite preferred. - Comfortable deploying and managing containerized workloads on AWS ECS. - Solid Linux administration skills. - Experienced with secure networking concepts. - Hands-on experience with monitoring and observability platforms. - Demonstrated experience coordinating technical work across a team. Requirements - Experience with security and compliance tools (Snyk, SonarCloud, Intruder.io, Vanta). - Experience managing AWS IAM and familiarity with JumpCloud. - Experience integrating Atlassian tools into CI/CD workflows. - Experience supporting ML workloads and MLOps pipelines. - Hands-on experience with AI developer tools. - Previous experience using AWS Serverless services. - Working knowledge of Kubernetes. Benefits - Competitive salary plus eligibility for a performance-linked annual bonus plan. - Affordable Medical, Dental, and Vision Insurance, including a no cost employee-only plan. - Paid parental leave. - 401K with dollar-for-dollar company match up to 5%. - Unlimited PTO, recharge days, and Christmas through New Year break. - 100% business travel reimbursement. - Wellness Reimbursement or HQ Gym access. - Remote stipend for 100% remote roles.

• Technical Leadership and Best Practices: Serve as a technical reference for the team, supporting development and promoting Site Reliability Engineering (SRE) best practices. • Availability and Performance: Ensure the availability, scalability, performance and security of the company's systems and infrastructure. • Maintain a stable, reliable and secure environment for all users and services. • DevOps Culture and Integration: Promote a DevOps culture, encouraging collaboration between development, infrastructure and information security teams. • Automation and Monitoring: Implement and manage tools and processes for automation, monitoring and orchestration of infrastructure and applications. • Incident Management and Continuous Improvement: Analyze incidents, identify root causes and propose preventive solutions to avoid recurrence. • Related Activities: Perform other duties inherent to the role, contributing to the efficiency and continuous improvement of services and processes.

• Design, build, and maintain CI/CD pipelines in Azure DevOps and Jenkins (YAML pipelines, Jenkinsfile, shared libraries) from commit to production • Manage and scale Kubernetes clusters on AKS across dev, staging, and production; author Helm charts; manage namespaces, RBAC, configmaps, secrets, and ingress • Provision and version infrastructure with Terraform/Bicep and manage configuration with Ansible across multiple Azure environments • Enforce security gates in pipelines — Trivy container scans, Checkov IaC policies, SonarQube SAST quality gates; manage secrets via HashiCorp Vault and Azure Key Vault • Own observability — Prometheus/Grafana dashboards, ELK/OpenSearch log aggregation, OpenTelemetry instrumentation; define and track SLOs and error budgets • Manage network configuration — DNS, VPN, ingress controllers, load balancers, and network policies; lead blameless post-mortems.