Overview

Location: Remote

Experience: 7-10 Years Experience

Contract duration: 1-3 Months+ Extendable.

Primary Skills: DevOps, Cloud Engineering, DevSecOps or Platform Engineering.

Note: Pls do not share AP and Hyderabad Candidates. Also LinkedIn ID is must with at least 150+ connections.

Key Responsibilities

• CI/CD & Infrastructure Automation
  • Design, implement, and maintain secure CI/CD pipelines for data engineering and machine learning workloads.
  • Develop Infrastructure as Code (IaC) solutions using Terraform, AWS CloudFormation, or similar tools.
  • Automate application, infrastructure, and data platform deployments across environments.
  • Integrate security scanning, vulnerability assessment, and compliance validation into CI/CD workflows.
  • Implement automated deployment, rollback, and recovery mechanisms.
• AWS Platform & Multi-Account Management
  • Build, configure, and manage AWS multi-account environments using AWS Organizations and Control Tower.
  • Establish cloud environments aligned with AWS security best practices and well-architected principles.
  • Implement account-level guardrails, governance frameworks, and environment segregation.
  • Support scaling and management of enterprise-grade cloud infrastructure.
• Identity & Access Management
  • Design and implement secure IAM strategies across AWS services.
  • Configure IAM roles, policies, permission boundaries, and least-privilege access controls.
  • Manage AWS Lake Formation permissions and fine-grained access control for data assets.
  • Enforce Role-Based Access Control (RBAC) and secure authentication mechanisms.
  • Conduct periodic reviews of access privileges and security configurations.
• Security, Governance & Compliance
  • Automate governance controls and compliance checks as part of deployment pipelines.
  • Develop and maintain cloud security policies, standards, and operational guardrails.
  • Implement compliance automation for production and non-production environments.
  • Ensure adherence to organizational security, audit, and regulatory requirements.
  • Support security audits, risk assessments, and remediation activities.
• Monitoring, Logging & Observability
  • Implement enterprise-wide monitoring and observability solutions.
  • Configure and manage:
    • Amazon CloudWatch
    • AWS CloudTrail
    • AWS Config
    • Security Hub
    • GuardDuty
  • Develop alerting mechanisms for infrastructure, data pipelines, and SageMaker workloads.
  • Create operational dashboards and monitoring reports for stakeholders.
• Data & ML Platform Security
  • Secure AWS SageMaker environments and ML deployment pipelines.
  • Implement encryption strategies for data at rest and in transit.
  • Configure secure data access controls for S3, Glue, Athena, and Lake Formation.
  • Support model governance and secure ML lifecycle management.
• Secrets Management & Encryption
  • Implement secure credential management using:
    • AWS Secrets Manager
    • AWS Systems Manager Parameter Store
  • Configure KMS encryption for:
    • Amazon S3
    • Databases
    • Data pipelines
    • ML workloads
  • Establish key rotation and encryption best practices.
  • Eliminate hardcoded secrets and improve credential security across platforms.
• Security Operations & Incident Response
  • Conduct regular security reviews and infrastructure assessments.
  • Identify and remediate vulnerabilities across cloud environments.
  • Develop automated rollback and recovery mechanisms for security incidents.
  • Support incident response activities and post-incident reviews.
  • Collaborate with Security, DevOps, Data Engineering, and ML Engineering teams.
• Documentation & Operational Excellence
  • Create and maintain:
    • Security standards
    • Deployment procedures
    • Operational runbooks
    • Disaster recovery documentation
    • Compliance reports
  • Develop secure maintenance and operational playbooks.
  • Support knowledge transfer and security awareness initiatives.

Required Skills

• Technical Experience
  • 6-7 years of experience in DevOps, Cloud Engineering, DevSecOps, or Platform Engineering.
  • Strong hands-on experience with AWS cloud services and security best practices.
  • Experience building CI/CD pipelines using:
    • Azure DevOps
    • GitHub Actions
    • Jenkins
    • GitLab CI/CD
  • Expertise in Infrastructure as Code:
    • Terraform
    • AWS CloudFormation
• AWS Services
  • AWS Organizations
  • AWS Control Tower
  • IAM
  • AWS Lake Formation
  • AWS KMS
  • AWS Secrets Manager
  • Amazon S3
  • AWS Glue
  • AWS Lambda
  • AWS Step Functions
  • Amazon SageMaker
  • AWS Config
  • CloudWatch
  • CloudTrail
  • Security Hub
  • GuardDuty
• Security & Compliance
  • Identity and Access Management (IAM)
  • Least Privilege Access Design
  • Security Automation
  • Compliance Monitoring
  • Vulnerability Management
  • Data Encryption
  • Governance Frameworks
  • Audit Readiness
• Scripting & Automation
  • Python
  • Shell Scripting (Bash)
  • PowerShell (Preferred)
  • YAML/JSON-based deployment templates

Preferred Skills

• AWS Certified Security – Specialty (Preferred)
• AWS Certified DevOps Engineer – Professional
• AWS Certified Solutions Architect – Associate/Professional
• Experience supporting enterprise Data Lake or Lakehouse platforms.
• Exposure to MLOps and Machine Learning infrastructure security.
• Experience with container platforms such as Docker and Kubernetes.
• Familiarity with SOC2, ISO 27001, GDPR, or similar compliance frameworks.

Soft Skills

• Strong analytical and troubleshooting skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in cross-functional teams.
• Strong documentation and process improvement mindset.
• Proactive approach to security and risk management.
• Ability to operate effectively in Agile environments.