Jenkins
Java
NodeJS (Node.js)
Python- 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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JenkinsRole: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
KubernetesWe are looking for a highly skilled Linux-focused DevOps Engineer with strong troubleshooting capabilities. The ideal candidate must have hands-on experience in Linux systems, OpenStack, Kubernetes, and Ansible automation. This role requires deep debugging skills and structured root cause analysis.
Key Responsibilities
• Troubleshoot complex infrastructure and application issues through deep log analysis.
• Manage and optimize Linux-based production environments.
• Deploy and manage workloads in Kubernetes clusters.
• Provision and manage infrastructure using OpenStack.
• Automate configuration management using Ansible. • Diagnose networking issues including DNS, routing, and firewall configurations.
• Develop automation scripts using Bash or Python.
• Participate in production incident handling and RCA documentation. Required Skills & Experience
• Strong Linux internals knowledge (systemd, processes, memory, I/O). • Experience analyzing system logs (/var/log, journalctl, dmesg).
• Hands-on Kubernetes production troubleshooting.
• OpenStack VM provisioning and networking knowledge.
• Ansible playbook and role development experience.
• Strong scripting skills (Bash or Python).
Good to Have
• Terraform exposure. • Monitoring tools such as Prometheus, Grafana, ELK. • Experience in multi-tenant environments. • On-call production support experience.
KubernetesTitle: Azure Cloud Developer/Engineer
Exp: 5+ yrs
Location: T-Hub, Hyderabad
Work from office (5 days/week)
Interview rounds: 2-3
Excellent comm skills
Immediate Joiner
Job Description
Position Overview:
We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.
Key Responsibilities:
- Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
- Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
- Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
- Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
- Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
- Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
- Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
- Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
- Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
- Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
- Work with Azure Key Vault for secrets and certificate management.
- Explore multi-cloud strategies, integrating AWS services where necessary.
Key Skills Required:
- Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
- Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
- Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
- Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
- Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
- CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
- Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
- Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
- Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
- Strong understanding of containerization, orchestration, and microservices architecture.
Certifications (Preferred):
Required:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure DevOps Engineer Expert
Nice to Have (AWS Experience):
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified DevOps Engineer – Professional
Nice to Have Skills:
- Experience with multi-cloud environments (Azure & AWS).
- Familiarity with container security tools (Aqua Security, Prisma Cloud).
- Experience with GitOps methodologies using tools like ArgoCD or Flux.
- Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).
Benefits
Why Join Us?
- Competitive salary with performance-based incentives.
- Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
- Access to training programs, workshops, and learning resources.
- Comprehensive health insurance coverage for employees and their families.
- Wellness programs and mental health support.
- Hands-on experience with large-scale, innovative cloud solutions.
- Opportunities to work with modern tools and technologies.
- Inclusive, supportive, and team-oriented environment.
- Opportunities to collaborate with global clients and cross-functional teams.
- Regular performance reviews with rewards for outstanding contributions.
- Employee appreciation events and programs.
Kubernetes
Amazon Web Services (AWS)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.
Kubernetes
DockerAmazon Web Services (AWS)PythonWhat the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
DockerKubernetesAmazon Web Services (AWS)We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
-
work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
-
provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
-
work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
-
work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
-
do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
-
be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
-
strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
-
hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
-
confidence with Linux environments
-
ability to identify critical weak spots in distributed software systems
-
experience in developing automated test cases and test plans
-
ability to deal with distributed systems
-
solid interpersonal skills conducive to a distributed environment
-
ability to work independently on multiple tasks
-
self-driven & motivated, with a strong work ethic and a passion for problem solving
-
innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
Amazon Web Services (AWS)- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.
Django
Javascript
HTML/CSSPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon