Devops azure

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

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.

Key Skills Required:

·         You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services. 

·         You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers. 

·         You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.

·         You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application

To be the right fit, you'll need:

·         Expert in Cloud Services like AWS.

·         Experience in Terraform Scripting.

·         Experience in container technology like Docker and orchestration like Kubernetes.

·         Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.

·         Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)

Key Responsibilities: 

• Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices. 
• Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications. 
• Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others. 
• Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure. 
• Automation: Identify and automate repetitive tasks to improve efficiency and reliability. 
• Security: Implement security best practices and ensure compliance with industry standards. 
• Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products. 

Required Skills and Qualifications: 

• Experience: 2-5 years of experience in a DevOps role. 
• AWS: In-depth knowledge of AWS services and solutions. 
• CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar. 
• GitOps Expertise: Proficient in GitOps methodologies and tools. 
• Kubernetes: Strong hands-on experience with Kubernetes and container orchestration. 
• Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar. 
• Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar. 
• Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar. 
• Version Control: Strong understanding of version control systems, primarily Git. 
• Problem-Solving: Excellent problem-solving and debugging skills. 
• Collaboration: Ability to work in a fast-paced, collaborative environment. 
• Education: Bachelor’s or master’s degree in computer science or a related field. 

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

KNOLSKAPE is looking for a DevOps Engineer to help us build Educational platforms and products that make learning experiential for leaders of the world.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, setting up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 2+ years of experience in building infrastructure experience with Cloud Providers ( AWS / Azure / GCP)
• Build and Deployment Management (Gitlab).
• Experience in writing automation scripts using Shell, Python, and Terraform based.
• Good experience in building pipelines with YAML-based knowledge of the GitLab environment.
• System Administration skill set.
• Docker/Kubernetes container infrastructure and orchestration
• Deploying/operating NodeJs/PHP/LAMP framework-based clusters with infrastructure.
• Monitoring, metrics collection, and distributed tracing
• Infrastructure as code” – Experience with Terraform preferred.
• Strong AWS Deployment Experience
• Provide system-level technical support
• Desire to learn new technologies while supporting existing
  
  

Roles and Responsibilities

• End to End-building CI/CD pipelines using tools like Jenkins and Jenkins Pipelines etc.
• Build CI/CD pipelines to orchestrate provisioning and deployment of both large scale systems
• Develop and implement instrumentation for monitoring the health and availability of services including fault detection, alerting, triage, and recovery (automated and manual)
• Develop, improve, and thoroughly document operational practices and procedures.
• Perform tasks related to securing and keeping the products, tools, and processes you are responsible for securing our infrastructure.
• Agile software development practices
• Understand IT processes, including architecture, design, implementation, and operations
• Open Source development experience
• Self-motivated, able and willing to help where help is needed
• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility

Location: Bangalore

About KNOLSKAPE

KNOLSKAPE is an end-to-end learning and assessment platform for accelerated employee development. Our core belief is that desired business outcomes are achieved best when learning needs are aligned with business requirements, but traditional methodologies for capability development require a new, more updated approach. Keeping with this philosophy, we offer engaging, immersive, and experiential learning and assessment solutions - strategy cascading, business acumen, change management, leadership pipeline, digital capabilities, and talent assessments. Leveraging a blended omnichannel delivery model, KNOLSKAPE offers instructor-led classroom sessions, live virtual sessions, and self-paced courses to suit every learning need.

More than 300 clients in 25 countries have benefited from KNOLSKAPE's award-winning experiential solutions. A 120+ strong team based out of offices in Singapore, India, Malaysia, and the USA serves a rapidly growing global client base across industries such as banking and finance, consulting, IT, FMCG, retail, manufacturing, infrastructure, pharmaceuticals, engineering, auto, government and academia.

KNOLSKAPE is a global Top 20 gamification company, recipient of numerous Brandon Hall awards, and has been recognized as a company to watch for in the Talent Management Space, by Frost & Sullivan, and as a disruptor in the learning space, by Bersin by Deloitte.