Job Summary
An experienced Kong Admin Support Engineer is required to manage administration, support, and enhancement of the Kong API Gateway platform. The role involves handling custom plugin development, portal customization, troubleshooting, and ensuring secure and scalable API management in a production environment.
Key Responsibilities
- Provide L2/L3 administration and support for Kong API Gateway.
- Manage installation, configuration, upgrades, and performance tuning of Kong components.
- Develop and maintain custom Kong plugins based on business requirements.
- Customize and enhance the Developer Portal including UI, workflows, and integrations.
- Monitor API traffic, logs, and gateway health; resolve incidents and performance issues.
- Implement security policies such as authentication, rate limiting, and access control.
- Collaborate with development, DevOps, and infrastructure teams for deployments and releases.
- Maintain documentation, runbooks, and operational procedures.
Required Skills & Qualifications
- Minimum 3+ years of experience in Kong administration/support.
- Strong experience in custom plugin development using Lua or relevant technologies.
- Hands-on experience with Kong Developer Portal customization and management.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Job Title : DevOps Engineer – Fintech (Product-Based)
Experience : 5+ Years
Location : Mumbai
Job Type : Full-Time | Product Company
Role Summary :
We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.
The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.
Mandatory Skills :
Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.
Key Responsibilities :
- Deploy and manage stateful microservices in production.
- Handle both managed & self-managed Kubernetes clusters.
- Develop and maintain custom Helm Charts.
- Implement GitOps pipelines using ArgoCD/FluxCD.
- Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
- Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
- Design multi-tenant cluster deployments.
- Manage HA, load balancers, certificates, DNS, and networking.
Mandatory Skills :
- Product-based company experience.
- Strong Kubernetes (EKS/AKS/GKE + self-managed).
- Custom Helm Chart development.
- GitOps tools : ArgoCD/FluxCD.
- AWS/Azure cloud networking & security.
- IaC module development (Terraform/Pulumi/CloudFormation).
- Experience with stateful components (DBs, queues, caches).
- Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.
Contract Job: DevOps / Azure DevOps
Contract Term: Max 3-6 months
Looking For Immediate joiners only
Remote Opportunity
- CI/CD, deployment, environment management, and release support
- This can be a shared capability/position as well
Kubernetes
DockerAmazon 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.
Python
Django
NodeJS (Node.js)- Proficiency in Python , Django and Other Allied Frameworks;
- Expert in designing UI/UX interfaces;
- Expert in testing, troubleshooting, debugging and problem solving;
- Basic knowledge of SEO;
- Good communication;
- Team building and good acumen;
- Ability to perform;
- Continuous learning
DockerKubernetesAmazon Web Services (AWS)Company Name: Petpooja!
Location: Ahmedabad
Designation: DevOps Engineer
Experience: Between 2 to 7 Years
Candidates from Ahmedabad will be preferred
Job Location: Ahmedabad
Job Responsibilities: - -
- Planned, implement, and maintain the software development infrastructure.
- Introduce and oversee software development automation across cloud providers like AWS and Azure
- Help develop, manage, and monitor continuous integration and delivery systems
- Collaborate with software developers, QA specialists, and other team members to ensure the timely and successful delivery of new software releases
- Contribute to software design and development, including code review and feedback
- Assist with troubleshooting and problem-solving when issues arise
- Keep up with the latest industry trends and best practices while ensuring the company meets configuration requirements
- Participate in team improvement initiatives
- Help create and maintain internal documentation using Git or other similar applications
- Provide on-call support as needed
Qualification Required:
1. You should have Experience handling various services on the AWS cloud.
2. Previous experience as a Site reliability engineer would be an advantage.
3. You will be well versed with various commands and hands-on with Linux, Ubuntu administration, and other aspects of the Software development team requirement.
4. At least 2 to 7 years of experience with managing AWS Services such as Auto Scaling, Route 53, and various other internal networks.
5. Would recommend if having an AWS Certification.
Amazon Web Services (AWS)- Develop and Maintain IAC using Terraform and Ansible
- Draft design documents that translate requirements into code.
- Deal with challenges associated with scale.
- Assume responsibilities from technical design through technical client support.
- Manage expectations with internal stakeholders and context-switch in a fast paced environment.
- Thrive in an environment that uses Elasticsearch extensively.
- Keep abreast of technology and contribute to the engineering strategy.
- Champion best development practices and provide mentorship
An AWS Certified Engineer with strong skills in
- Terraform o Ansible
- *nix and shell scripting
- Elasticsearch
- Circle CI
- CloudFormation
- Python
- Packer
- Docker
- Prometheus and Grafana
- Challenges of scale
- Production support
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
Java- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
Required Key Skills :
- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L
DockerKubernetesYour Role:
- Serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services
- Gain deep knowledge of our complex applications
- Assist in the roll-out and deployment of new product features and installations to facilitate our rapid iteration and constant growth
- Develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale UNIX environment
- Work closely with development teams to ensure that platforms are designed with "operability" in mind.
- Function well in a fast-paced, rapidly-changing environment
- Should be able to lead a team of smart engineers
- Should be able to strategically guide the team to greater automation adoption
Must Have:
- Experience Building/managing DevOps/SRE teams
- Strong in troubleshooting/debugging Systems, Network and Applications
- Strong in Unix/Linux operating systems and Networking
- Working knowledge of Open source technologies in Monitoring, Deployment and incident management
Good to Have:
- Minimum 3+ years of team management experience
- Experience in Containers and orchestration layers like Kubernetes, Mesos/Marathon
- Proven experience in programming & diagnostics in any languages like Go, Python, Java
- Experience in NoSQL/SQL technologies like Cassandra/MySQL/CouchBase etc.
- Experience in BigData technologies like Kafka/Hadoop/Airflow/Spark
- Is a die-hard sports fan
KubernetesAmazon Web Services (AWS)DockerPython2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon