Role Overview
We are seeking a highly skilled
CI/CD Engineer to design, implement, and support
end-to-end automation pipelines across application development, data/ML workflows, and AI/LLM deployments. The role includes ownership of
integration and deployment services, embedding
security-first (DevSecOps) practices, and extending governance to
MLOps and LLM SecOps ecosystems.
Key Responsibilities
- Design, develop, and maintain scalable backend and full-stack applications
- Build RESTful APIs and microservices using Node.js, TypeScript, Python, and Java
- Write clean, efficient, and maintainable code following best practices
- Collaborate with cross-functional teams (DevOps, QA, Product) to deliver high-quality solutions
- Participate in system design discussions and contribute to architecture decisions
- Optimize application performance, scalability, and reliability
- Conduct code reviews and ensure adherence to coding standards
- Debug, troubleshoot, and resolve production issues
- Work with databases (SQL/NoSQL) for data modeling and integration
- Contribute to CI/CD pipelines and automated testing frameworks
Qualifications & Experience
CI/CD Pipeline EngineeringDesign, build, and maintain scalable CI/CD pipelines for application, data, ML, and AI systems.Automate build, test, integration, and deployment workflows across cloud (Azure/AWS/GCP) and on-prem platforms.Implement multi-stage pipelines (build → test → security scan → deploy → monitor).Integrate source control systems (GitHub, GitLab, Azure DevOps). Integration & Deployment ServicesSupport enterprise integration services (APIs, microservices, event-driven architectures).Develop and maintain deployment strategies:- Blue/Green deployments
- Canary releases
- Feature toggles
Manage containerized deployments (Docker, Kubernetes).Ensure environment consistency using IaC tools (Terraform, Bicep, ARM). DevSecOps ImplementationEmbed security controls in CI/CD pipelines:- SAST, DAST, SCA, Container scanning
- Secrets scanning and credential management
Implement policy-as-code and compliance automation.Integrate tools like:- SonarQube, Checkmarx
- Aqua, Prisma Cloud, Trivy
Ensure compliance with security standards (ISO, SOC2, GDPR). MLOps / ML SecOpsBuild and maintain ML pipelines for:Model training, validation, deployment, monitoringEnable ML lifecycle automation (data → model → deployment → retraining).Integrate tools such as:MLflow, Kubeflow, Azure ML, SageMakerApply ML security practices:Data integrity checksModel drift detectionAdversarial robustness validationEnsure reproducibility and traceability of ML experiments. LLM SecOps (AI Governance & Security)Implement secure deployment pipelines for LLM-based applications.Monitor and enforce controls for:- Prompt injection risks
- Data leakage & sensitive information exposure
- Model misuse / hallucination tracking
Enable AI model governance:Versioning, audit trails, explainabilityIntegrate LLM observability tools (prompt monitoring, response evaluation).Apply Responsible AI practices (bias detection, fairness, compliance). Monitoring & Reliability EngineeringImplement observability frameworks using:Prometheus, GrafanaAzure Monitor, ELK StackTrack:Pipeline healthDeployment success ratesSecurity postureEnsure high availability and resilience of CI/CD systems. Collaboration & Stakeholder ManagementWork closely with:- Development teams
- Data scientists / ML engineers
- Security teams
- Drive adoption of DevOps culture and best practices.
- Provide support for release management and incident resolution.
Educational Background
- B.Tech/B.S./ M.S. in Computer Science, Statistics, Mathematics, or a related field
Additional Skills & Preferred Qualifications
- Strong communication, stakeholder management, and organizational skills
- Self-motivated, customer-focused, and detail-oriented mindset
- Certification in:
- Azure DevOps / AWS DevOps
- Kubernetes (CKA/CKAD)
- Experience with AI governance frameworks
- Background in data engineering or ML engineering
- Experience working in Agile/Scrum environments
- Knowledge of ERP systems (SAP) – strongly preferred
- Six Sigma Yellow Belt or Green Belt certification – a plus
- ITIL certification – a plus
Any Questions
Mukund.Dighe&mahle.com
