Kubernetes
Docker
Amazon Web Services (AWS)
Jenkins
GitWe are looking for an excellent experienced person in the Dev-Ops field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a DevOps Engineer, you will be responsible for managing and building upon the infrastructure that supports our data intelligence platform. You'll also be involved in building tools and establishing processes to empower developers to
deploy and release their code seamlessly.
Responsibilities
The ideal DevOps Engineers possess a solid understanding of system internals and distributed systems.
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable
application
Configuration management tools (Ansible/Chef/Puppet), Cloud
Service Providers (AWS/DigitalOcean), Docker+Kubernetes ecosystem is a plus.
Should be able to make key decisions for our infrastructure,
networking and security.
Manipulation of shell scripts during migration and DB connection.
Monitor Production Server Health of different parameters (CPU Load, Physical Memory, Swap Memory and Setup Monitoring tool to
Monitor Production Servers Health, Nagios
Created Alerts and configured monitoring of specified metrics to
manage their cloud infrastructure efficiently.
Setup/Managing VPC, Subnets; make connection between different zones; blocking suspicious ip/subnet via ACL.
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade
AWS resources (CPU, Memory, EBS)
The candidate would be Responsible for managing microservices at scale maintain the compute and storage infrastructure for various product teams.
Strong Knowledge about Configuration Management Tools like –
Ansible, Chef, Puppet
Extensively worked with Change tracking tools like JIRA and log
Analysis, Maintaining documents of production server error log's
reports.
Experienced in Troubleshooting, Backup, and Recovery
Excellent Knowledge of Cloud Service Providers like – AWS, Digital
Ocean
Good Knowledge about Docker, Kubernetes eco-system.
Proficient understanding of code versioning tools, such as Git
Must have experience working in an automated environment.
Good knowledge of Amazon Web Service Architects like – Amazon EC2, Amazon S3 (Amazon Glacier), Amazon VPC, Amazon Cloud Watch.
Scheduling jobs using crontab, Create SWAP Memory
Proficient Knowledge about Access Management (IAM)
Must have expertise in Maven, Jenkins, Chef, SVN, GitHub, Tomcat, Linux, etc.
Candidate Should have good knowledge about GCP.
EducationalQualifications
B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
EXPERIENCE: 2-6 yr
Shubham Vishwakarma
Full Stack Developer - Averlon
About Dhwani Rural Information Systems
About
Dhwani Rural Information Systems is a development-focused technology firm with a mission to equip organizations operating at the BoP level with information and communications technology (ICT) solutions that are smart, integrated, and inexpensive. They are a social impact initiative that is technology-driven. They provide organizations in the development sector and social entrepreneurs with the ability to successfully manage and monitor their programs by utilizing ICT and tech solutions.
Dhwani RIS was established in 2012 as a result of the underlying enthusiasm of the founders to harness the power of technology for the sake of social change. During one of Sunandan Madan and Swapnil Agarwal's internships at the Institute of Rural Management in Anand, the two founders of Dhwani came up with the concept that would eventually become the company. In the course of their close collaboration with rural NGOs and organizations functioning at the BoP level, they saw that these groups were still falling behind in terms of their technological adoption; hence, they identified a need.
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grafanaAbout 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
Amazon Web Services (AWS)DockerKubernetesJenkinsAbout the Job
This is a full-time role for a Lead DevOps Engineer at Spark Eighteen. We are seeking an experienced DevOps professional to lead our infrastructure strategy, design resilient systems, and drive continuous improvement in our deployment processes. In this role, you will architect scalable solutions, mentor junior engineers, and ensure the highest standards of reliability and security across our cloud infrastructure. The job location is flexible with preference for the Delhi NCR region.
Responsibilities
- Lead and mentor the DevOps/SRE team
- Define and drive DevOps strategy and roadmaps
- Oversee infrastructure automation and CI/CD at scale
- Collaborate with architects, developers, and QA teams to integrate DevOps practices
- Ensure security, compliance, and high availability of platforms
- Own incident response, postmortems, and root cause analysis
- Budgeting, team hiring, and performance evaluation
Requirements
Technical Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years of professional DevOps experience with demonstrated progression.
- Strong architecture and leadership background
- Deep hands-on knowledge of infrastructure as code, CI/CD, and cloud
- Proven experience with monitoring, security, and governance
- Effective stakeholder and project management
- Experience with tools like Jenkins, ArgoCD, Terraform, Vault, ELK, etc.
- Strong understanding of business continuity and disaster recovery
Soft Skills
- Cross-functional communication excellence with ability to lead technical discussions.
- Strong mentorship capabilities for junior and mid-level team members.
- Advanced strategic thinking and ability to propose innovative solutions.
- Excellent knowledge transfer skills through documentation and training.
- Ability to understand and align technical solutions with broader business strategy.
- Proactive problem-solving approach with focus on continuous improvement.
- Strong leadership skills in guiding team performance and technical direction.
- Effective collaboration across development, QA, and business teams.
- Ability to make complex technical decisions with minimal supervision.
- Strategic approach to risk management and mitigation.
What We Offer
- Professional Growth: Continuous learning opportunities through diverse projects and mentorship from experienced leaders
- Global Exposure: Work with clients from 20+ countries, gaining insights into different markets and business cultures
- Impactful Work: Contribute to projects that make a real difference, with solutions generating over $1B in revenue
- Work-Life Balance: Flexible arrangements that respect personal wellbeing while fostering productivity
- Career Advancement: Clear progression pathways as you develop skills within our growing organization
- Competitive Compensation: Attractive salary packages that recognize your contributions and expertise
Our Culture
At Spark Eighteen, our culture centers on innovation, excellence, and growth. We believe in:
- Quality-First: Delivering excellence rather than just quick solutions
- True Partnership: Building relationships based on trust and mutual respect
- Communication: Prioritizing clear, effective communication across teams
- Innovation: Encouraging curiosity and creative approaches to problem-solving
- Continuous Learning: Supporting professional development at all levels
- Collaboration: Combining diverse perspectives to achieve shared goals
- Impact: Measuring success by the value we create for clients and users
Apply Here - https://tinyurl.com/t6x23p9b
DockerKubernetesAmazon Web Services (AWS)Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
Python
C#**THIS IS A 100% WORK FROM OFFICE ROLE**
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
ROLE and RESPONSIBILITIES:
• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management
activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for
DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in
the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or
creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing
vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer
Essential Skills and Experience Technical Skills
• Proven 3+years of experience as DevOps
• A bachelor’s degree or higher qualification in computer science
• The ability to code and script in multiple languages and automation frameworks
like Python, C#, Java, Perl, Ruby, SQL Server, NoSQL, and MySQL
• An understanding of the best security practices and automating security testing and
updating in the CI/CD (continuous integration, continuous deployment) pipelines
• An ability to conveniently deploy monitoring and logging infrastructure using tools.
• Proficiency in container frameworks
• Mastery in the use of infrastructure automation toolsets like Terraform, Ansible, and command line interfaces for Microsoft Azure, Amazon AWS, and other cloud platforms
• Certification in Cloud Security
• An understanding of various operating systems
• A strong focus on automation and agile development
• Excellent communication and interpersonal skills
• An ability to work in a fast-paced environment and handle multiple projects
simultaneously
OTHER INFORMATION
The DevOps Engineer will also be expected to demonstrate their commitment:
• to gedu values and regulations, including equal opportunities policy.
• the gedu’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of gedu’s Environmental Policy.
• to their Health and Safety responsibilities to ensure their contribution to a safe and secure working environment for staff, students, and other visitors to the campus.
KubernetesDockerJenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
DockerKubernetesMandatory:
● A minimum of 1 year of development, system design or engineering experience ●
Excellent social, communication, and technical skills
● In-depth knowledge of Linux systems
● Development experience in at least two of the following languages: Php, Go, Python,
JavaScript, C/C++, Bash
● In depth knowledge of web servers (Apache, NgNix preferred)
● Strong in using DevOps tools - Ansible, Jenkins, Docker, ELK
● Knowledge to use APM tools, NewRelic is preferred
● Ability to learn quickly, master our existing systems and identify areas of improvement
● Self-starter that enjoys and takes pride in the engineering work of their team ● Tried
and Tested Real-world Cloud Computing experience - AWS/ GCP/ Azure ● Strong
Understanding of Resilient Systems design
● Experience in Network Design and Management
Python
Go Programming (Golang)JenkinsCloud native technologies - Kubernetes (EKS, GKE, AKS), AWS ECS, Helm, CircleCI, Harness, Severless platforms (AWS Fargate etc.)
Infrastructure as Code tools - Terraform, CloudFormation, Ansible
Scripting - Python, Bash
Desired Skills & Experience:
Projects/Internships with coding experience in either of Javascript, Python, Golang, Java etc.
Hands-on scripting and software development fluency in any programming language (Python, Go, Node, Ruby).
Basic understanding of Computer Science fundamentals - Networking, Web Architecture etc.
Infrastructure automation experience with knowledge of at least a few of these tools: Chef, Puppet, Ansible, CloudFormation, Terraform, Packer, Jenkins etc.
Bonus points if you have contributed to open source projects, participated in competitive coding platforms like Hackerearth, CodeForces, SPOJ etc.
You’re willing to learn various new technologies and concepts. The “cloud-native” field of software is evolving fast and you’ll need to quickly learn new technologies as required.
Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.
B.E/B.Tech/M.Tech or equivalent experience.
JavaJenkinsDockerOpening for a Java Developer with Devops experience
Experience required: 5 yrs to 10 yrs
Essential Required Skills:
Familiarity with Version Control such as GitHub, BitBucket
- Java programmer(Liferay, Alfresco will add plus point)
- AWS
- OPs(ansible, apache, python, terraform)
- Effective communication skills
- An analytical bent of mind and problem-solving aptitude
- Good time management skills
- Curiosity for learning
- Patience
Roles & Responsibilities:
- Candidate with good hand on exposure on AWS, Cloud, Devops, Ansible, Docker, Jekins.
- Strong proficiency in Linux, Open Source, Web based and Cloud based environments (ability to use open source technologies and tools)
- Strong scripting and automation (bash, Perl, common Linux utils), strong grasp of automation tools a plus.
- Strong debugging skills (OS, scripting, Web based technologies), SQL, Java and Database concepts are a plus
- Apache, nginx, git, svn, GNU tools
- Must have exposure on Grep, awk, sed, Git, svn
- Scripting (bash, python)
- API related skills (REST, and any other like google, aws, atlassian)
- Web based technology
- Strong Unix Skills
- Java programmer, Coding (Springboot, Microservices, Liferay, Alfresco will add plus point)
- Proficient in AWS
- Ops (ansible, apache, python, terraform)
Benefits
- Cash Rewards & Recognition on Monthly Basis
- Work-Life Balance (Flexible Working Hours)
- Five-Day Work Week
Amazon Web Services (AWS)PythonAmazon Web Services (AWS)Python
MongoDB
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon