1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.

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Must Have -
a. Background working with Startups
b. Good knowledge of Kubernetes & Docker
c. Background working in Azure
What you’ll be doing
- Ensure that our applications and environments are stable, scalable, secure and performing as expected.
- Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
- Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
- Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
- Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
- Automate everything so that nothing is ever done manually in production.
- Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
- DDoS attacks and fat fingers.
- Troubleshoot issues across the whole stack - software, applications and network.
- Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
- Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.
Requirements
- 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
- 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
- Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
- Prior experience implementing industry standard security best practices, including those recommended by Azure
- Proficiency with Bash, and any high-level scripting language.
- Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
- Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
- Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
- Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.
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.
Required Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
Role:
- Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
- Making suggestions towards shaping the strategy for a feature and engineering design.
- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.
- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
- Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
- An active member of the team, through useful contributions to projects and in team meetings.
- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.
Requirements:
- Acquired strong proven professional programming experience.
- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
- Proven track record and expert in one of the field - DevOps/Frontend/Backend
- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
- Experience with at least one of the Database systems - RDBMS and NoSQL
- Ability to document requirements and specifications.
- A naturally inquisitive and problem-solving mindset.
- Strong experience in using AGILE or SCRUM techniques to build quality software.
- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro
One of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer 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
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.
You will be responsible for
1. Setting up, maintaining cloud (AWS/GCP/Azure) and kubernetes cluster and automating
their operation
2. All operational aspects of devtron platform including maintenance, upgrades,
automation.
3. Providing kubernetes expertise to facilitate smooth and fast customer onboarding on
devtron platform
Responsibilities:
1. Manage devtron platform on multiple kubernetes clusters
2. Designing and embedding industry best practices for online services including disaster
recovery, business continuity, monitoring/alerting, and service health measurement
3. Providing operational support for day to day activities involving the deployment of
services
4. Identify opportunities for improving the security, reliability, and scalability of the platform
5. Facilitate smooth and fast customer onboarding on devtron platform
6. Drive customer engagement
Requirements:
● Bachelor's Degree in Computer Science or a related field.
● 2+ years working as a devops engineer
● Proficient in 1 or more programming languages (e.g. Python, Go, Ruby).
● Familiar with shell scripts, Linux commands, network fundamentals
● Understanding of large scale distributed systems
● Basic understanding of cloud computing (AWS/GCP/Azure)
Preferred Qualifications:
● Great analytical and interpersonal skills
● Passion for creating efficient, reliable, reusable programs/scripts.
● Excited about technology, have a strong interest in learning about and playing with the
latest technologies and doing POC.
● Strong customer focus, ownership, urgency and drive.
● Knowledge and experience with cloud native tools like prometheus, kubernetes, docker,
grafana.

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)
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database






