DockerJob Description :
- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team.
- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven
- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.
Key responsibilities :
- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.
Required Knowledge :
- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.
- Good written and verbal communication skills
Qualification :
Education and Experience : Bachelors/Masters in Computer Science
Open for 24- 7 shifts
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.
PostgreSQLRole: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
KubernetesDockerWhat does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
DockerKubernetesAmazon Web Services (AWS)We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀
Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.
🏢 ZoomOps Technolgy Solutions Private Limited
📍 Location: Gurgaon
💼 Full-time position
🔧 Key Skills & Requirements:
✔ 7-9 years of hands-on experience in DevOps roles
✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure
✔ Strong background in Solution Architecture
✔ Expertise in writing Automation Scripts using Python and Bash
✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..
Responsibilities:
🔹 Lead and mentor the DevOps team, driving innovation and best practices
🔹 Design and implement robust CI/CD pipelines for seamless software delivery
🔹 Architect and optimize cloud infrastructure for scalability and efficiency
🔹 Automate manual processes to enhance system reliability and performance
🔹 Collaborate with cross-functional teams to drive continuous improvement
Join us to work on exciting projects and make a significant impact in the tech space!
Apply now and take the next step in your DevOps career!
Docker
JenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
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
DockerKubernetes- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
Amazon Web Services (AWS)What we are looking for
Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
Identify root cause for issues and develop long term solutions to fix recurring
issues.
Ability to automate recurring tasks to increase velocity and quality.
Partner with the engineering team to build software tolerance for
infrastructure failure or issues.
Research emerging technologies, trends and methodologies and enhance
existing systems and processes.
Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
Electrical Engineering, or related technical field, and two years of experience
in software/systems or related.
5+ years overall experience.
Work experience must have included:
Proven track record in deploying, configuring and maintaining Ubuntu server
systems on premise and in the cloud.
Minimum of 4 years’ experience designing, implementing and troubleshooting
TCP/IP networks, VPN, Load Balancers & Firewalls.
Minimum 3 years of experience working in public clouds like AWS & Azure.
Hands on experience in any of the configuration management tools like Anisble,
Chef & Puppet.
Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
Configuring and utilizing monitoring and alerting tools.
Scripting to automate infrastructure and operational processes.
Hands on work to secure networks and systems.
Sound problem resolution, judgment, negotiating and decision making skills
Ability to manage and deliver multiple project phases at the same time
Strong analytical and organizational skills
Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
AWS (EC2, S3, VPC)
Problem solving, scripting, network design, systems administration and
troubleshooting scenarios
Culture fit, agility, bias for action, ownership, communication
KubernetesAmazon Web Services (AWS)Docker
Python2. 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
PythonJenkins
Git
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon