DevOps Engineer

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

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.

DevOps Engineer

We are looking for a hands-on DevOps Engineer to manage and scale our cloud infrastructure, Kubernetes-based microservice deployments, monitoring systems, and data engineering infrastructure.

The person will be responsible for building reliable, secure, scalable, and cost-efficient infrastructure using automation-first practices. This role is important for supporting a high-growth B2C platform where availability, deployment velocity, observability, security, and cost efficiency are critical.

Key Responsibilities

• Manage and automate cloud infrastructure using Terraform.
• Deploy, manage, and troubleshoot microservices on Kubernetes.
• Build and maintain CI/CD pipelines to ensure reliable, controlled deployments.
• Implement safe release practices, including rolling deployments, rollback, and zero-downtime deployments.
• Manage monitoring, logging, alerting, dashboards, and production runbooks.
• Support incident response, production debugging, RCA, and preventive action closure.
• Ensure infrastructure is scalable, secure, highly available, and cost-optimised.
• Support data engineering infrastructure, including ClickHouse, PeerDB, Airflow, Kafka, and related platform components.
• Maintain infra-level security controls, backups, disaster recovery, and access governance.

Required Skills

• Strong experience with Terraform, Infrastructure as Code, and AWS.
• Strong experience with Kubernetes, Docker, Helm, ingress, and autoscaling.
• Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, ArgoCD, or similar.
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK/OpenSearch, New Relic, or similar.
• Good understanding of cloud networking, DNS, load balancers, VPC/VPN, SSL/TLS, firewalls, and WAF.
• Experience with Linux administration, shell scripting, and automation.
• Understanding of cloud security, IAM, secrets management, and access governance.
• Exposure to databases, queues, caches, and data infrastructure tools such as ClickHouse, PeerDB, Airflow, Kafka, or similar.
• Strong debugging and problem-solving skills during production incidents.
• Ability to work closely with engineering teams to improve deployment, monitoring, cost, and reliability. 

About GradRight

Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. Our mission is to drive transparency and accountability in the global higher education sector and create significant impact using the power of technology, data science and collaboration.

GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions in an integrated manner. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner.

In the last three years, we have enabled students to get the best deals on a $ 2.8+ Billion of loan requests and facilitated disbursements of more than $ 350+ Million in loans. GradRight won the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India & was among the top 7 global finalists in The PIEoneer awards, UK.

GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions. It is led by alumni of IIT Delhi, BITS Pilani, IIT Roorkee, ISB Hyderabad and University of Pennsylvania. GradRight is a Delaware, USA registered company with a wholly owned subsidiary in India. 

About the Role

We are looking for a passionate DevOps Engineer with hands-on experience in AWS cloud infrastructure, containerization, and orchestration. The ideal candidate will be responsible for building, automating, and maintaining scalable cloud solutions, ensuring smooth CI/CD pipelines, and supporting development and operations teams.

Core Responsibilities

Design, implement, and manage scalable, secure, and highly available infrastructure on AWS.

Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.

Containerize applications using Docker and manage deployments with Kubernetes (EKS, self-managed, or other distributions).

Monitor system performance, availability, and security using tools like CloudWatch, Prometheus, Grafana, ELK/EFK stack.

Collaborate with development teams to optimize application performance and deployment processes.

Required Skills & Experience

3–4 years of professional experience as a DevOps Engineer or similar role.

Strong expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, etc.).

Hands-on experience with Docker and Kubernetes (EKS or self-hosted clusters).

Proficiency in CI/CD pipeline design and automation.

Experience with Infrastructure as Code (Terraform / AWS CloudFormation).

Solid understanding of Linux/Unix systems and shell scripting.

Knowledge of monitoring, logging, and alerting tools.

Familiarity with networking concepts (DNS, Load Balancing, Security Groups, Firewalls).

Basic programming/scripting experience in Python, Bash, or Go.

Nice to Have

Exposure to microservices architecture and service mesh (Istio/Linkerd).

Knowledge of serverless (AWS Lambda, API Gateway).

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.

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

• Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
• Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
• Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
• Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
• Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
• Define and build processes to identify performance bottlenecks and scaling pitfalls
• Manage robust monitoring and alerting infrastructure 
• Explore new tools to improve development operations to automate daily tasks
• Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Strong background in Linux/Unix Administration and Python/Shell Scripting
• Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in query analysis, peformance tuning, database redesigning, 
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skills.
• Excellent leadership skill.

Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.

The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.

Should be well versed with

1. Designing and Deploying Large enterprise software in Cloud
2. Understands Cloud fundamentals
3. DevOps & Kubernetes
4. Experience deploying cloud applications and monitoring operations
5. Preferably Google Cloud
6. Associate or Professional Certification.