Database & DevOps Engineer at geniSIGHTS Pvt Ltd · Chennai · 2 - 5 years · ₹3L - ₹8L / yr · Bootstrapped · Posted 16 Aug 2026

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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.

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The candidate should have at least 1 year of experience in AI/ML and hands-on experience with the below technologies:
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Kubernetes
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Key-Value Caching
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We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.
Key Responsibilities
- AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
- AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
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- Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
- Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.
Must-Have Skills & Qualifications
- 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
- Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
- Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
- Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
- CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).
Nice-to-Have Skills
- Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
- Experience with event-driven messaging systems (Kafka, Redis, or SQS).
- Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
- AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).
Company Overview:
Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.
Responsibilities
- Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
- Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
- Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
- Automate configuration and deployment tasks using Python (Ansible a plus).
- Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
- Write Shell and Python scripts to automate operations and reduce manual work.
- Manage Git workflows — branching, merge strategies, and pull request reviews.
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Qualifications
Must-Have Skills
- Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
- OS: Windows administration (systemd, package management, log analysis).
- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git — branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration — backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
- AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.
Nice-to-Have Skills
• Configuration Management: Ansible.
• Additional IaC: CloudFormation.
• Architecture: Knowledge of microservices architecture.
• Cloudflare: DNS, CDN, WAF.
• Artifact Repositories: Nexus, JFrog Artifactory, ECR.
• Other CI/CD Tools: GitHub Actions.
• AWS cost optimization / FinOps awareness.
• Datadog, CloudWatch, or Prometheus/Grafana.
• AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
• Database Basics: RDS backups, restores, performance tuning.
Job Title : DevOps / Infrastructure Engineer
Experience : 3+ Years
Location : Gurugram Sector 48
Work Mode : 6 Days WFO (Monday to Saturday) / 01st & 03rd Saturdays are off
Employment Type : Full-time
Role Overview :
We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.
Mandatory / Non-Negotiable Skills :
- Strong hands-on experience with Linux Administration & Troubleshooting.Strong experience with Jenkins and CI/CD pipelines.
- Hands-on experience with Docker and containerized environments.
- Strong understanding of Networking concepts – TCP/IP, DNS, HTTP/HTTPS, ports, routing, firewalls, load balancing, etc.
- Hands-on experience with Bare Metal Servers / Server Administration.
- Strong hands-on experience with AWS (EC2, VPC, IAM, Security Groups, Load Balancers, S3 & CloudWatch)
- Working knowledge of Redis
- Working knowledge of MongoDB
- Strong production troubleshooting and incident-resolution skills
Key Responsibilities :
- Manage, configure, monitor, and troubleshoot Linux and bare-metal servers
- Build, maintain, and troubleshoot Jenkins CI/CD pipelines
- Deploy, manage, and troubleshoot applications using Docker
- Manage and troubleshoot AWS infrastructure and services
- Configure and maintain networking, security groups, firewalls, ports, and connectivity
- Support and maintain Redis and MongoDB environments
- Perform server health checks, log analysis, performance troubleshooting, and incident resolution
- Work closely with development teams to support application deployments
- Identify root causes of infrastructure and production issues and implement preventive solutions
- Maintain infrastructure security, availability, and reliability
- Automate repetitive operational tasks wherever possible
Required Candidate Profile :
- 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
- Strong hands-on / production experience with all mandatory technologies.
- Good understanding of Linux systems and infrastructure.
- Strong troubleshooting and problem-solving abilities.
- Ability to take ownership of production infrastructure and deployment issues.
- Good communication and collaboration skills.
IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.
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- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
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- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
* Deploy and maintain company websites and HRM Cloud applications.
* Configure and manage cloud servers and Linux environments.
* Set up CI/CD pipelines using GitHub/GitHub Actions.
* Configure domains, DNS, SSL certificates, and HTTPS.
* Deploy frontend, backend/API, and database services.
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* AWS / Azure / DigitalOcean or equivalent cloud platform
* Linux server administration
* Git & GitHub
* CI/CD and GitHub Actions
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* Nginx / Apache
* DNS & domain configuration
* SSL/TLS and HTTPS
* Database deployment and backup
* Basic networking and security
* Monitoring and troubleshooting
* Experience deploying web applications to production
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* Kubernetes
* Terraform / Infrastructure as Code
* Cloud security
* Load balancing
* Redis / caching
* PostgreSQL / MySQL / MongoDB
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What We Offer
* Opportunity to work on HRM Cloud and SaaS products
* Exposure to real-world cloud infrastructure and production systems
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* Growth opportunities within the technology team
* Opportunity to work with an international product-focused company
How to Apply
Send your CV,GitHub profile, LinkedIn profile, and details of your previous cloud/DevOps projects.
Subject: Application – DevOps & Cloud Engineer
Job Description – DevOps Engineer
Company: Kanhasoft
Experience: 4+ Years
Location: Ahmedabad (Work from Office)
Employment Type: Full-Time
Job Overview
We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
- Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
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- Automate infrastructure provisioning and configuration management.
- Monitor application performance, server health, and system availability.
- Manage Linux servers, networking, security, and troubleshooting.
- Implement backup, disaster recovery, and security best practices.
- Collaborate with development and QA teams to streamline deployment processes.
- Identify and resolve infrastructure, deployment, and production-related issues.
- Optimize cloud resources, performance, and infrastructure costs.
Required Skills & Qualifications
- 4+ years of professional experience in DevOps or Cloud Infrastructure.
- Strong hands-on experience with AWS, Azure, or GCP.
- Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of Linux/Unix server administration.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Knowledge of Git and version control systems.
- Understanding of networking, DNS, load balancing, firewalls, and security.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
- Strong troubleshooting, problem-solving, and communication skills.
Preferred Qualifications
- Experience managing production environments.
- Knowledge of scripting languages such as Bash or Python.
- Experience with cloud security and cost optimization.
- Familiarity with microservices architecture.
What We Are Looking For
- A proactive professional with strong technical and analytical skills.
- Ability to work independently and manage multiple infrastructure tasks.
- Strong collaboration skills to work with cross-functional teams.
Job Title : DevOps Engineer – Linux, AWS & Infrastructure
Experience : 3+ Years
Location : Sector 48, Gurgaon
Work Mode : 6 Days WFO – Monday to Saturday
Week Off : 01st & 03rd Saturday Off
Employment Type : Full-Time
Job Summary :
We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.
Key Responsibilities :
- Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
- Perform system administration, networking, performance monitoring, and production troubleshooting.
- Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
- Manage Docker containers and Kubernetes environments.
- Work with AWS Cloud services, infrastructure, security, and deployment environments.
- Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
- Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
- Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
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- Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
- Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
- Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.
Mandatory Skills :
Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership
Preferred Skills :
- Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
- Hands-on experience with Terraform / CloudFormation.
- Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
- Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
- Experience handling production incidents, RCA, deployments, and system reliability.
- Exposure to cloud security, IAM, secrets management, and server hardening.
What We’re Looking For :
- 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
- Strong practical knowledge rather than certification-based/theoretical understanding.
- Good troubleshooting and analytical skills.
- Strong sense of ownership and accountability for production systems.
- Comfortable working in a 6-day work-from-office environment.
Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews












