CI/CD Engineer

MAHLE
Department Icon IT / Software Development & Related
Posted: 3 months ago
0-1 years
Pune, Maharashtra
IT / Software Development & Related
work from office
Full Time
Posted: 3 months ago
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Job Description

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 Engineering
  • Design, 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 Services
  • Support 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 Implementation
  • Embed 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 SecOps
  • Build and maintain ML pipelines for:
  • Model training, validation, deployment, monitoring
  • Enable ML lifecycle automation (data → model → deployment → retraining).
  • Integrate tools such as:
  • MLflow, Kubeflow, Azure ML, SageMaker
  • Apply ML security practices:
  • Data integrity checks
  • Model drift detection
  • Adversarial robustness validation
  • Ensure 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, explainability
  • Integrate LLM observability tools (prompt monitoring, response evaluation).
  • Apply Responsible AI practices (bias detection, fairness, compliance).
  • Monitoring & Reliability Engineering
  • Implement observability frameworks using:
  • Prometheus, Grafana
  • Azure Monitor, ELK Stack
  • Track:
  • Pipeline health
  • Deployment success rates
  • Security posture
  • Ensure high availability and resilience of CI/CD systems.
  • Collaboration & Stakeholder Management
  • Work 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

    Skills

    PythonDevopsItilJavaKubernetesNode.jsTestingRestfulCloudSql

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    About Company

    MAHLE is a leading international development partner and supplier to the automotive industry. We develop and manufacture high-tech components and systems for engines, transmission, electric vehicles, and thermal management. We also provide aftersales solutions.

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