DevOps Engineer (ELK / AWS) ([email protected])

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.

We are seeking an experienced Senior Systems Operations Engineer with 6+ years of experience in Application Production Support, Systems Operations, and Incident Management. The ideal candidate will be responsible for maintaining the stability, availability, and performance of production applications and infrastructure while ensuring adherence to ITIL processes and operational excellence.

The candidate should possess strong expertise in Linux/Unix administration, SQL/Oracle Database support, Production Issue Analysis, Incident & Change Management, and monitoring tools such as Splunk, Grafana, and AppDynamics. The role requires excellent troubleshooting skills, stakeholder communication, and the ability to lead critical incident resolution activities in a 16X7 production environment.

Key Responsibilities:

•           Provide advanced production support for critical business applications, ensuring high availability and performance.

•           Lead incident and change management processes, including root cause analysis and resolution of production issues.

•           Monitor application health using tools such as SPLUNK, Grafana, and AppDynamics.

•           Collaborate with development, infrastructure, and business teams to drive continuous improvement in system operations.

•           Maintain and optimize Linux/Unix environments and SQL/Oracle databases.

•           Document operational procedures, troubleshooting steps, and best practices.

Required Skills:

•           Strong experience with Linux/Unix system administration.

•           Advanced proficiency in SQL and Oracle database management.

•           Expertise in incident and change management within enterprise environments.

•           Proven ability to analyse and resolve production issues efficiently.

•           Hands-on experience with monitoring and alerting tools: SPLUNK, Grafana, AppDynamics.

•           Excellent communication and collaboration skills.

•           Experience with cloud platforms (AWS, Azure, GCP)

Desired Candidate Profile

•           6+ years of experience in Application Production Support and Systems Operations.

•           Proven experience managing mission-critical production environments.

•           Strong expertise in Linux/Unix, SQL, Oracle Database, and monitoring tools.

•           Demonstrated success in incident resolution, RCA preparation, and service improvement initiatives.

•           Ability to work effectively in a fast-paced 16x7 production support environment.

•           Exposure to AI tools and implementation as well

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data

protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent

troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.

Responsibilities Include:

Review proposed feature requirements

Create test plan and test cases

Analyze performance, diagnosis, and troubleshooting

Enter and track defects

Interact with customers, partners, and development teams

Researching customer issues and product initiatives

Provide input for service documentation

Required Skills:

Bachelor's degree in Computer Science, Information Systems or related discipline

3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience

Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB

Experience with technologies such as REST, Angular, Messaging, Databases, etc.

Strong troubleshooting skills and issue isolation skills

Possess excellent communication skills (written and verbal English)

Must be able to work as an individual contributor within a team

Ability to think outside the box

Experience in configuring infrastructure

Knowledge of CI / CD

Desirable skills:

Programming skills in scripting languages (e.g., python, bash)

Knowledge of Linux administration

Knowledge of testing tools/frameworks: TestNG, Selenium, etc

Knowledge of Identity and Security

Job Description

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Key Responsibilities and Must-have skills:

• Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
• Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
• Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies and risk management strategies
• Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
• Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
• Experience with application discovery preferably with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
• Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
• Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
• Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
• Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
• Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
• Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
• Hands-on Experience with application build/release processes CI/CD pipelines
• Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

• Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
• Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
• Assist Sales and Marketing team in creating sales and marketing collateral
• Write whitepapers and technology blogs to be published on social media and Intuitive website
• Create case studies for projects successfully executed by Intuitive delivery team
• Conduct sales enablement sessions to coach sales team on new offerings
• Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
• Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
• Strong passion for modern technology exploration and development
• Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
• Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
• Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
• Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles