Cloud & DevOps Engineer

Description :

Company Profile :

Mannara Technologies is a Professional IT Services firm and dedicated to helping our clients get actionable insights from their data. Mannara Technologies has delivered experience, knowledge, and best practices in Data Management, Business Intelligence, Financial Performance Management, and Enterprise Applications in order to help our clients solve business challenges. Our focus is on exceeding our clients' expectations and enabling them to unleash the power of information in their enterprise. Whether defining a Business Intelligence Strategy, executing a Data Management Program, or delivering a high-performance Analytics or Performance Management Solution, Mannara Technologies helps our clients achieve their goals, through business-aligned solutions.

Job Title : Senior Engineer IT Cloud

Job Summary :

We are seeking a highly skilled and hands-on Cloud & DevOps Engineer with strong expertise in AWS, Azure, Infrastructure as Code (IaC), and modern DevOps practices. The ideal candidate will be responsible for designing, implementing, and managing scalable, secure, and highly available cloud infrastructure while driving automation and continuous delivery initiatives.

This role requires a deep understanding of cloud-native architecture, containerization, CI/CD pipelines, and emerging technologies like AIOps and MLOps.

Location : Pune, Hinjewadi, Phase-3/Magarpatta (Hybrid)

Professional Experience :

- Design, implement, and manage scalable, secure, and highly available cloud infrastructure on AWS and/or Microsoft Azure.

- Deploy and manage cloud services including EC2, EKS, ECS, and Load Balancers.

- Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible.

- Implement and manage CI/CD pipelines using tools like GitLab, ensuring efficient software delivery and deployment.

- Collaborate with development teams to enable DevOps and GitOps practices.

- Manage cloud-native architectures including IaaS and PaaS components such as virtual machines, virtual networks, storage, and serverless computing.

- Monitor system performance and reliability using modern observability and AIOps tools.

- Support MLOps workflows and integration of AI/ML models into production environments.

- Automate operational processes using scripting languages such as Python, JavaScript, and PowerShell.

- Ensure compliance with security best practices and industry standards.

Personal Attribute and Characteristics :

- Excellent communication skills in English - both verbal and written.

- Candidates should possess excellent learning ability and take up challenges. Be a good team player.

- Professional approach to problem solving.

- Assertive, confident & result oriented.

Scope & Responsibility :

- Design, implement, and manage scalable cloud infrastructure solutions across AWS and Azure environments.

- Provision and maintain cloud resources including EC2, EKS, ECS, load balancers, virtual networks, and storage services.

- Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible.

- Collaborate with cross-functional teams to implement CI/CD pipelines using GitLab and GitOps methodologies.

- Monitor, optimize, and ensure high availability, performance, and cost-efficiency of cloud infrastructure.

- Support deployment and management of containerized applications using Kubernetes and container services.

- Implement and maintain security best practices, compliance standards, and access controls across cloud environments.

- Work on DevOps automation including scripting (Python, JavaScript, PowerShell) to improve operational efficiency.

- Assist in implementing AIOps/MLOps practices to enhance system monitoring, predictive analytics, and automation.

- Troubleshoot infrastructure, deployment, and performance issues across cloud and application layers.

- Maintain documentation for infrastructure, processes, and configurations.

- Stay updated with emerging technologies in cloud computing, DevOps, and AI-driven operations.

Education

- Bachelors or masters degree in computer science, Information Systems & Mathematics or a related discipline.

Compensation

Competitive base + performance-based bonuses. Full benefits including accidental, medical, insurance, and paid vacation.