NodeJS (Node.js)
MongoDB
JavascriptNode JS Developer – Exp: 2-6 Years
Responsibilities:
- Developing and maintaining high performance and scalable web applications and API’s.
- Managing front-end and third party APIs integration.
- Writing unit, integration and E2E test cases.
- Implementation of security and data protection.
- Managing deployment and handling client interaction and demos
Skills And Qualifications:
- Highly proficient in JavaScript and Typescript, PassportJs, Sequelize.
- Working knowledge of Node.js frameworks such as ExpressJs, SailsJs, VueJs and ElectronJs.
- Good understanding of server-side templating languages such as Jade, EJS, Mustache etc.
- Good understanding of server-side CSS preprocessors such as Stylus, Less,Sass etc.
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Sound knowledge of Testing frameworks such as Mocha, Chai, Jasmine, Cucumber etc.
- Experience of writing unit, integration and E2E tests.
- Experience of working with SQL and No-SQL databases.
- Experience of integrating third party APIs.
- Good understanding of code versioning tools, such as Git.
- Good Communication Skills.
Introduction to Jellyfish Technologies
Founded in 2011, Jellyfish Technologies is a global software development company leading the revolution in Fintech, Insurtech, healthtech, IoT, BPA, and DCX, among others.
We apply advanced AI & ML technologies and robotics to offer new-age and highly efficient solutions to international clients. We have recently launched an automated productivity product in the North American market.
We are a service/product based software development company that transforms ideas into applications. Our cross functional team of motivated, skilled and experienced software engineers and designers, help the clients unlock the business values of their enterprises in a time-bound and cost-effective manner.
Website: https://www.jellyfishtechnologies.com/">https://www.jellyfishtechnologies.com
LinkedIn: https://www.linkedin.com/company/teamjft/">https://www.linkedin.com/company/teamjft/
Shubham Vishwakarma
Full Stack Developer - Averlon
About Jellyfish Technologies
About
Company social profiles
Similar jobs
Kubernetes
Docker
Amazon Web Services (AWS)DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
DockerKubernetesAmazon Web Services (AWS)• Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a
different stream of education.
• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
KubernetesType, Location
Full Time @ Anywhere in India
Desired Experience
2+ years
Job Description
What You’ll Do
● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.
● Take charge of DevOps activities for CI/CD with the latest tech stacks.
● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.
● Implementing the DevOps philosophy and strategy across different domains in organisation.
● Build automation at various levels, including code deployment to streamline release process
● Will be responsible for architecture of cloud services
● 24*7 monitoring of the infrastructure
● Use programming/scripting in your day-to-day work
● Have shell experience - for example Powershell on Windows, or BASH on *nix
● Use a Version Control System, preferably git
● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)
● Scalability, HA and troubleshooting of web-scale applications.
● Infrastructure-As-Code tools like Terraform, CloudFormation
● CI/CD systems such as Jenkins, CircleCI
● Container technologies such as Docker, Kubernetes, OpenShift
● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA
What you bring to the table
● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.
● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.
● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems
● Configuration management tools such as Ansible/Chef/Puppet
Bonus if you have…
● Basic understanding of Networking(routing, switching, dns) and Storage
● Basic understanding of Protocol such as UDP/TCP
● Basic understanding of Cloud computing
● Basic understanding of Cloud computing models like SaaS, PaaS
● Basic understanding of git or any other source code repo
● Basic understanding of Databases(sql/no sql)
● Great problem solving skills
● Good in communication
● Adaptive to learning
DockerKubernetesAmazon Web Services (AWS)knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
PythonAmazon Web Services (AWS)Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Title: Cloud DevOps Engineer
Role: Individual Contributor (4-8 yrs)
Requirements:
- Energetic self-starter, a fast learner, with a desire to work in a startup environment
- Experience working with Public Clouds like AWS
- Operating and Monitoring cloud infrastructure on AWS.
- Primary focus on building, implementing and managing operational support
- Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure.
- Expert at one of the scripting languages – Python, shell, etc
- Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc
- Handling load monitoring, capacity planning, and services monitoring.
- Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues.
- Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc
MongoDBProfile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
DockerAmazon Web Services (AWS)NodeJS (Node.js)
We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.
Job Requirements
- Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
- Experience with AWS Cloud Formation and AWS CLI is essential
- The ability to work to project deadlines efficiently and with minimum guidance
- A positive attitude and enjoys working within a global distributed team
Skills
- Highly proficient working with CI/CD and automating infrastructure provisioning
- Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
- Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
- Hands on experience with Docker and container orchestration
- Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
- An interest in healthcare and medical sectors
- Technical degree with 4 plus years’ infrastructure and automation experience
Amazon Web Services (AWS)PythonMongoDB
PHPJavascriptNodeJS (Node.js)
ExpressJavascript
HTML/CSS
PostgreSQL
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon