Hiring for Leading companies

1 day ago

Navi Mumbai, Maharashtra, India Acura Solution Full time ₹ 12,00,000 - ₹ 36,00,000 per year


Job Description:

Job Title: Senior DevOps Engineer
Focus: Deployment Expertise on Render, Vercel, AWS | Infrastructure for AI/ML Products
Location: Navi Mumbai (WFO Mandatory)
Department: IT
Employment Type: Full-time

About the Role:
We are seeking an experienced Senior DevOps Engineer to take a lead role in the design,
implementation, and management of cloud-based infrastructure for our AI and media streaming
solutions. You will have significant responsibility for optimizing deployment pipelines, scaling cloud
infrastructure, and ensuring the robustness and high availability of our systems.
Key Responsibilities:

• Lead Deployment Architecture: Design, deploy, and manage scalable cloud infrastructure on
Render, Vercel, and AWS (EC2, S3, Lambda, ECS, etc.) for AI-powered and media streaming
applications.

• CI/CD Pipeline Management: Architect and implement efficient CI/CD pipelines for
continuous, high-quality deployments across all environments.

• Containerization & Orchestration: Lead containerization efforts with Docker, and implement
Kubernetes for container orchestration and scaling.

• Infrastructure Automation: Automate deployment workflows and infrastructure
provisioning, ensuring efficiency and reliability across environments.

• System Monitoring & Performance Optimization: Proactively monitor system performance,
diagnose issues, and optimize infrastructure for reliability, cost-effectiveness, and scalability.

• Cross-functional Collaboration: Work closely with Backend, AI, and Product teams to align
infrastructure and deployment strategies with product requirements and timelines.

• Mentorship: Mentor junior DevOps engineers, promote best practices, and contribute to a
culture of continuous improvement.
Required Skills:

• Experience: 4+ years of experience in DevOps, cloud infrastructure, and automation, with a
proven track record in managing deployments and CI/CD pipelines at scale.

• Cloud Platforms Expertise: Deep knowledge of Render, Vercel, and AWS (EC2, S3, Lambda,
ECS, CloudFormation, etc.).

• CI/CD Tools: Advanced experience with GitHub Actions, Jenkins, and related CI/CD tools for
automating build, test, and deployment pipelines.


• Containerization & Orchestration: Expertise in Docker, Kubernetes, and related container
orchestration technologies.

• Infrastructure as Code: Strong experience with Terraform, CloudFormation, or similar IaC
tools to provision and manage cloud resources.

• Monitoring & Optimization: Familiarity with monitoring tools (e.g., Prometheus, Grafana)
and experience in tuning infrastructure for high availability and cost optimization.

• Collaboration: Proven ability to work in cross-functional teams, and effectively communicate
technical solutions to both technical and non-technical stakeholders.
Bonus Skills:

• Experience with scaling AI or media streaming applications in the cloud.

• Exposure to serverless technologies and edge computing.

• Knowledge of security best practices for cloud infrastructure.


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