Senior Devops Engineer/Devops Lead

Senior Cloud Engineer Job Description

Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]

Location: Remote [REQUIRES WORKING IN CST TIME ZONE]

Position Overview

The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud

strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives

through innovative cloud engineering.

Key Responsibilities

Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)

Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration

Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes

Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements

Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools

Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management

Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation

Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues

Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence

Stay current with emerging cloud technologies, trends, and best practices,

Required Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
• 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
• Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
• Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
• Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
• Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
• Experience with cloud security, governance, and compliance frameworks
• Excellent analytical, troubleshooting, and root cause analysis skills
• Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
• Ability to work independently, manage multiple priorities, and lead complex projects to completion

Preferred Qualifications

• Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
• Experience with cloud cost optimization and FinOps practices
• Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
• Exposure to cloud database technologies (SQL, NoSQL, managed database services)
• Knowledge of cloud migration strategies and hybrid cloud architectures

Location: Ahmedabad / WFO

Experience: 0–1 Year / Freshers

Internship: 6months ( leading to full-time employment )

About the Role

We are looking for a motivated DevOps Engineer Intern who is interested in Cloud, Automation, and Infrastructure. You will work with our engineering team on application deployments, cloud environments, CI/CD pipelines, and day-to-day DevOps activities.

What You'll Work On

• Work with Linux-based systems and perform basic troubleshooting.
• Use Git & GitHub for version control and team collaboration.
• Write basic Bash/Shell scripts to automate repetitive tasks.
• Work with Docker to build and run containerized applications.
• Assist with CI/CD pipelines and automated application deployments.
• Gain hands-on exposure to AWS, Azure, or GCP.
• Understand basic cloud networking, IAM, and security concepts.
• Troubleshoot deployment, application, and infrastructure issues.
• Maintain basic technical documentation and follow DevOps best practices.

Must-Have Skills

• Basic understanding of Linux.
• Hands-on knowledge of Git & GitHub.
• Basic Bash/Shell scripting.
• Understanding of Docker and containers.
• Basic understanding of at least one cloud platform (AWS/Azure/GCP).
• Understanding of CI/CD concepts.
• Basic networking concepts, including HTTP/HTTPS, DNS, ports, IP, and SSH.
• Good troubleshooting and problem-solving skills.
• Strong interest in DevOps, Cloud, and Automation.

Good to Have

• Hands-on experience with GitHub Actions.
• Basic knowledge of Terraform.
• Exposure to Kubernetes.
• Basic Python scripting.
• Personal DevOps/Cloud projects or a GitHub portfolio.
• AWS/Azure/GCP or DevOps certification.

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

The candidate should have a background in development/programming with experience in at least one of the following: .NET, Java (Spring Boot), ReactJS, or AngularJS.

Primary Skills:

1. AWS or GCP Cloud
2. DevOps CI/CD pipelines (e.g., Azure DevOps, Jenkins)
3. Python/Bash/PowerShell scripting

Secondary Skills:

1. Docker or Kubernetes

• Development/Technical support experience in preferably DevOps.
• Looking for an engineer to be part of GitHub Actions support. Experience with CI/CD tools like Bamboo, Harness, Ansible, Salt Scripting.
• Hands-on expertise with GitHub Actions and CICD Tools like Bamboo, Harness, CI/CD Pipeline stages, Build Tools, SonarQube, Artifactory, Nuget, Proget Veracode, LaunchDarkly, GitHub/Bitbucket repos, Monitoring tools.
• Handelling Xmatters,Techlines,Incidents
• Strong Scripting skills (PowerShell, Python, Bash/Shell Scripting) for Implementing automation scripts and Tools to streamline administrative tasks and improve efficiency.
• An Atlassian Tools Administrator is responsible for managing and maintaining Atlassian products such as Jira, Confluence, Bitbucket, and Bamboo.
• Expertise in Bitbucket, GitHub for version control and collaboration global level.
• Good experience on Linux/Windows systems activities, Databases.
• Aware of SLA and Error concepts and their implementations; provide support and participate in Incident management & Jira Stories. Continuously Monitoring system performance and availability, and responding to incidents promptly to minimize downtime.
• Well-versed with Observability tool as Splunk for Monitoring, alerting and logging solutions to identify and address potential issues, especially in infrastructure.
• Expert with Troubleshooting production issues and bugs. Identifying and resolving issues in production environments.
• Experience in providing 24x5 support.
• GitHub Actions
• Atlassian Tools (Bamboo, Bitbucket, Jira, Confluence)
• Build Tools (Maven, Gradle, MS Build, NodeJS)
• SonarQube, Veracode.
• Nexus, JFrog, Nuget, Proget
• Harness
• Salt Services, Ansible
• PowerShell, Shell scripting
• Splunk
• Linux, Windows

Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.

Responsibilities:

• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.

• Configure and manage EC2 instances to meet application requirements.

• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.

• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.

• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.

• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.

• Implement and monitor S3 storage solutions for secure and scalable data storage

• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.

• Configure Route 53 for domain management, DNS routing, and failover configurations.

• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.

• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.

• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.

• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.

• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.

• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.

• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.

• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.

• Strong communication skills with the ability to collaborate effectively with cross-functional teams.

• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.

Additional Information:

• We value creativity, innovation, and a proactive approach to problem-solving.

• We offer a collaborative and supportive work environment where your ideas and contributions are valued.

• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.

We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 technical support

● Build tools to reduce occurrences of errors and improve customer experience

● Develop software to integrate with internal back-end systems

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

● Develop scripts to automate visualization

● Design procedures for system troubleshooting and maintenance

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline