DevOps Specialist

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Position Overview:

PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.

Key Responsibilities:

AI Model Deployment & Integration

• Assist in containerizing and deploying AI/ML models into production using Docker.
• Support integration of models into existing systems and APIs.

Infrastructure Management

• Help manage cloud and on-premise environments to ensure scalability and consistency.
• Work with Kubernetes for orchestration and environment scaling.

CI/CD Pipeline Automation

• Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Implement basic automated testing and rollback mechanisms.

Hosting & Web Environment Management

• Assist in managing hosting platforms, web servers, and CDN configurations.
• Support DNS, load balancer setups, and ensure high availability of web services.

Monitoring, Logging & Optimization

• Set up and maintain monitoring/logging tools like Prometheus and Grafana.
• Participate in troubleshooting and resolving performance bottlenecks.

Security & Compliance

• Apply basic DevSecOps practices including security scans and access control implementations.
• Follow security and compliance checklists under supervision.

Cost & Resource Management

• Monitor resource usage and suggest cost optimization strategies in cloud environments.

Documentation

• Maintain accurate documentation for deployment processes and incident responses.

Continuous Learning & Innovation

• Suggest improvements to workflows and tools.
• Stay updated with the latest DevOps and AI infrastructure trends.

Requirements:

• Around 6 months of experience in a DevOps or related technical role (internship or professional).
• Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
• Exposure to scripting languages (e.g., Bash, Python) is a plus.
• Strong problem-solving skills and eagerness to learn.
• Good communication and documentation abilities.

Compensation

• Joining Bonus: INR 2,500 one-time bonus upon joining.
• Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
• Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
• Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.

Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now

#Devops #Docker #Kubernetes #DevOpsIntern

Key Responsibilities:

Cloud Management:

• Manage and troubleshoot Linux environments.
• Create and manage Linux users on EC2 instances.
• Handle AWS services, including ECR, EKS, EC2, SNS, SES, S3, RDS,
• Lambda, DocumentDB, IAM, ECS, EventBridge, ALB, and SageMaker.
• Perform start/stop operations for SageMaker and EC2 instances.
• Solve IAM permission issues.

Containerization and Deployment:

• Create and manage ECS services.
• Implement IP whitelisting for enhanced security.
• Configure target mapping for load balancers and manage Glue jobs.
• Create load balancers (as needed).

CI/CD Setup:

• Set up and maintain CI/CD pipelines using AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.

Database Management:

• o Manage PostgreSQL RDS instances, ensuring optimal performance and security.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 3.5 years of experience in a AWS and DevOps.
• Strong experience with Linux administration.
• Proficient in AWS services, particularly ECR, EKS, EC2, SNS, SES, S3, RDS, DocumentDB, IAM, ECS, EventBridge, ALB, and SageMaker.
• Experience with CI/CD tools (AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline).
• Familiarity with PostgreSQL and database management.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

Role : Senior Engineer Infrastructure

Key Responsibilities:

● Infrastructure Development and Management: Design, implement, and manage robust and scalable infrastructure solutions, ensuring optimal performance,security, and availability. Lead transition and migration projects, moving legacy systemsto cloud-based solutions.

● Develop and maintain applications and services using Golang.

● Automation and Optimization: Implement automation tools and frameworksto optimize operational processes. Monitorsystem performance, optimizing and modifying systems as necessary.

● Security and Compliance: Ensure infrastructure security by implementing industry best practices and compliance requirements. Respond to and mitigate security incidents and vulnerabilities.

Qualifications:

● Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

● Good understanding of prominent backend languageslike Golang, Python, Node.js, or others.

● In-depth knowledge of network architecture,system security, infrastructure scalability.

● Proficiency with development tools,server management, and database systems.

● Strong experience with cloud services(AWS.), deployment,scaling, and management.

● Knowledge of Azure is a plus

● Familiarity with containers and orchestration services,such as Docker, Kubernetes, etc.

● Strong problem-solving skills and analytical thinking.

● Excellent verbal and written communication skills.

● Ability to thrive in a collaborative team environment.

● Genuine passion for backend development and keen interest in scalable systems. 

Designation - DevOps Engineer

Urgently required. (NP of maximum 15 days)

Location:- Mumbai

Experience:- 3-5 years.

Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.

DevOps Engineer Job Description:-

Responsibilities

• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer & client 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

Requirements

• Work experience as a DevOps Engineer or similar software engineering role
• Work experience on AWS
• Good knowledge of Ruby or Python
• Working knowledge of databases and SQL
• Problem-solving attitude
• Team spirit
• BSc in Computer Science, Engineering or relevant field

This person MUST have:

• B.E Computer Science or equivalent
• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
• Experience configuring/maintaining one monitoring tool.
• Excellent verbal & written communication skills.
• Candidates with certifications - AWS, GCP, CKA, etc will be preferred
• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.

Location:

• Remotely, anywhere in India

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

If you are looking for good opportunity in Cloud Development/Devops. Here is the right opportunity.

EXP: 4-10 YRs
Location:Pune
Job Type: Permanent
Minimum qualifications:

• Education: Bachelor-Master degree 
• Proficient in English language. 

Relevant experience:

• Should have been working for at least four years as a DevOps/Cloud Engineer 
• Should have worked on AWS Cloud Environment in depth 
• Should have been working in an Infrastructure as code environment or understands it very clearly. 
• Has done Infrastructure coding using Cloudformation/Terraform and Configuration Management using Chef/Ansibleand Enterprise Bus(RabbitMQ/Kafka) 
• Deep understanding of the microservice design and aware of centralized Caching(Redis), centralizedconfiguration(Consul/Zookeeper)