- Proficient in Java, Node or Python
- Experience with NewRelic, Splunk, SignalFx, DataDog etc.
- Monitoring and alerting experience
- Full stack development experience
- Hands-on with building and deploying micro services in Cloud (AWS/Azure)
- Experience with terraform w.r.t Infrastructure As Code
- Should have experience troubleshooting live production systems using monitoring/log analytics tools
- Should have experience leading a team (2 or more engineers)
- Experienced using Jenkins or similar deployment pipeline tools
- Understanding of distributed architectures

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GCP Cloud Engineer:
- Proficiency in infrastructure as code (Terraform).
- Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
- Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
- Design Disaster Recovery and backup strategies to meet application objectives.
- Working knowledge of Google Cloud
- Working knowledge of various tools, open-source technologies, and cloud services
- Experience working on Linux based infrastructure.
- Excellent problem-solving and troubleshooting skills
NOTE- This is a contractual role for a period of 3-6 months.
Responsibilities:
● Set up and maintain CI/CD pipelines across services and environments
● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity
● Manage cloud environments (staging, production) with cost and reliability in mind
● Ensure secure access, role policies, and audit logging
● Contribute to internal tooling, CLI automation, and dev workflow improvements
Must-Haves:
● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering
● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)
● Proficiency in writing scripts (Bash, Python) for automation
● Good understanding of system monitoring, logs, and alerting
● Strong debugging skills, ownership mindset, and clear documentation habits
● Infra monitoring tools like Grafana dashboards
We are a managed video calling solution built on top of WebRTC, which allows it's
customers to integrate live video-calls within existing solutions in less than 10 lines of
code. We provide a completely managed SDK that solves the problem of battling
endless cases of video calling APIs.
Location - Bangalore (Remote)
Experience - 3+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.
Key Responsibilities
• As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.
• Creating and managing build and release pipelines with Azure DevOps and Jenkins.
• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.
• Troubleshoot server performance issues & handle the continuous integration system.
• Automate infrastructure provisioning using ARM Templates and Terraform.
• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.
• Diagnose and develop root cause solutions for failures and performance issues in the production environment.
• Deploy and manage Infrastructure for production applications
• Configure security best practices for application and infrastructure
Essential Requirements
• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)
• Strong knowledge of CI/CD principles.
• Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.
• Experience of writing automation scripts with PowerShell, Bash, Python, etc.
• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.
• Understanding of secure DevOps practices
Good to Have -
• Knowledge of scripting languages such as PowerShell, Bash
• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.
• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)
• Strong communication skills and ability to explain protocol and processes with team and management.
• Must be able to handle multiple tasks and adapt to a constantly changing environment.
• Must have a good understanding of SDLC.
• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.
• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.
• Organized, flexible, and analytical ability to solve problems creatively.
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 also 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. This would be a hybrid role and the person would be expected to also do some application-level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and
platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration
management tools with a goal to be able to re-provision environments at any point in
time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based
auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom
workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a
sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming
languages.
- Extensive experience in any Javascript based framework since we will be deploying
services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL










