Sr. DevOps Engineer

Job Description (JD)

Position: Senior DevOps Engineer (3-5 Years Experience)

Location: Bangalore or Ahmedabad (India)

Company Overview:

Trellance is a leading provider of data analytics, technology, and talent (including consulting) services for credit unions. Founded in 1989 (CSCU) to provide credit card processing services and rebranded in 2019, Trellance has been serving the credit union industry for 35+ years. Headquartered in Tampa, FL, Trellance provides services across the United States through its 3 brands - Rise Analytics, ProBridge and Optiri.

Established as a separate entity in 2025, Rise Analytics, a Trellance Company, empowers credit unions with cutting-edge analytics, AI and machine learning to turn data into actionable strategies. With deep industry expertise and innovative data solutions, Rise Analytics helps credit unions make smarter decisions, drive meaningful outcomes and achieve long-term success. Their powerful combination of technology and advisory services ensures every insight leads to impact.

CU Rise Analytics Pvt. Ltd. is a wholly owned subsidiary of Trellance, Inc. CU Rise Analytics is an offshore development centre of Trellance Inc., working collaboratively to offer comprehensive solutions for data analytics, technology and talent to allow our credit union clients to provide high quality service to their members and remain competitive. Our core expertise lies in data science and technology, encompassing data analytics, predictive modelling, business intelligence, and technology services.

Role Summary

We are seeking a highly motivated Platform & DevOps Engineer to accelerate our cloud engineering initiatives by building scalable, secure, and automated platforms that enhance developer productivity and operational excellence. The ideal candidate is passionate about Cloud Native technologies, Platform Engineering, Infrastructure as Code, GitOps, AI-assisted software delivery, and modern DevOps practices.

You will work closely with Cloud Infrastructure, Development, Security, and Product Engineering teams to deliver self-service platforms, automate software delivery, improve observability, and integrate AI-powered capabilities into the software development lifecycle.

Key Responsibilities

• Design, build, and manage cloud-native infrastructure on Microsoft Azure.
• Build and maintain Kubernetes platforms (AKS) with high availability and scalability.
• Develop reusable Infrastructure as Code modules using Terraform, Bicep, or similar tools.
• Implement GitOps workflows using ArgoCD/ FluxCD for automated application deployments.
• Build and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent platforms.
• Integrate AI-powered developer tools (e.g., GitHub Copilot, Microsoft Copilot, Claude) to improve engineering productivity.
• Design self-service developer capabilities through Internal Developer Platforms (IDP) and Backstage or similar frameworks.
• Implement observability/ monitoring solutions using Prometheus, Grafana, Loki, Fluent-bit, Datadog or Azure Monitor.
• Automate operational tasks using Python, PowerShell, Bash, or Go.
• Implement DevSecOps practices, including code scanning, container security, secrets management, and policy enforcement.
• Improve cloud cost efficiency through FinOps best practices.
• Participate in incident response, root cause analysis, and continuous service improvement.
• Collaborate with engineering teams to establish platform standards, reusable templates, and automation frameworks.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of hands-on experience in DevOps/SRE, Platform Engineering, or Cloud Infrastructure.
• Strong experience with Azure cloud services, especially AKS, Azure DevOps, Azure Monitor, and Entra ID.

• Hands-on exposure to AIOps tooling: anomaly detection, predictive alerting, AI-assisted root-cause analysis
• DevSecOps practice: pipeline-embedded vulnerability scanning, secrets management, policy-as-code

• Hands-on expertise with Kubernetes and containerization technologies.
• Strong Infrastructure as Code experience with Terraform or Bicep.
• Experience implementing GitOps using ArgoCD or Rancher.
• Proficiency in scripting using Python, PowerShell, or Bash.
• Experience with CI/CD pipeline design and optimization.
• Knowledge of observability tools and distributed tracing.
• Familiarity with DevSecOps tools such as SonarQube, Trivy, Snyk, or Veracode.
• Strong troubleshooting and automation skills.

Preferred Qualifications

• Exposure to Platform Engineering concepts and Internal Developer Platforms.
• Working knowledge of AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Claude Code or similar tools (ex: Cursor, Windsurf).
• Familiarity with OpenTelemetry and modern observability practices.
• Basic understanding of LLMs, Prompt Engineering, RAG, AI Agents, or MCP.
• Experience working in Agile/SAFe environments.
• Experience in regulated industries (Financial Services, Banking, FinTech).
• Exposure to MLOps concepts and AI application deployment.
• Familiarity with SRE principles

Soft Skills

We value engineers who:

• Think beyond tools and focus on solving business problems through automation.
• Demonstrate curiosity and continuously learn emerging cloud and AI technologies.
• Can clearly communicate technical concepts and deployment risks to technical and non-technical stakeholders.
• Take ownership of production systems and proactively improve reliability.
• Thrive in collaborative, cross-functional Agile teams.
• Balance innovation with operational excellence and security.

Preferred Certifications

• Microsoft Certified: Azure DevOps Engineer Expert
• Microsoft Certified: Azure Administrator Associate
• HashiCorp Terraform Associate
• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• GitHub Copilot Certification (or equivalent AI tooling certification)