
- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on

About Zimetrics Technologies
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Role: 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
About the Job
This is a full-time role for a Lead DevOps Engineer at Spark Eighteen. We are seeking an experienced DevOps professional to lead our infrastructure strategy, design resilient systems, and drive continuous improvement in our deployment processes. In this role, you will architect scalable solutions, mentor junior engineers, and ensure the highest standards of reliability and security across our cloud infrastructure. The job location is flexible with preference for the Delhi NCR region.
Responsibilities
- Lead and mentor the DevOps/SRE team
- Define and drive DevOps strategy and roadmaps
- Oversee infrastructure automation and CI/CD at scale
- Collaborate with architects, developers, and QA teams to integrate DevOps practices
- Ensure security, compliance, and high availability of platforms
- Own incident response, postmortems, and root cause analysis
- Budgeting, team hiring, and performance evaluation
Requirements
Technical Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years of professional DevOps experience with demonstrated progression.
- Strong architecture and leadership background
- Deep hands-on knowledge of infrastructure as code, CI/CD, and cloud
- Proven experience with monitoring, security, and governance
- Effective stakeholder and project management
- Experience with tools like Jenkins, ArgoCD, Terraform, Vault, ELK, etc.
- Strong understanding of business continuity and disaster recovery
Soft Skills
- Cross-functional communication excellence with ability to lead technical discussions.
- Strong mentorship capabilities for junior and mid-level team members.
- Advanced strategic thinking and ability to propose innovative solutions.
- Excellent knowledge transfer skills through documentation and training.
- Ability to understand and align technical solutions with broader business strategy.
- Proactive problem-solving approach with focus on continuous improvement.
- Strong leadership skills in guiding team performance and technical direction.
- Effective collaboration across development, QA, and business teams.
- Ability to make complex technical decisions with minimal supervision.
- Strategic approach to risk management and mitigation.
What We Offer
- Professional Growth: Continuous learning opportunities through diverse projects and mentorship from experienced leaders
- Global Exposure: Work with clients from 20+ countries, gaining insights into different markets and business cultures
- Impactful Work: Contribute to projects that make a real difference, with solutions generating over $1B in revenue
- Work-Life Balance: Flexible arrangements that respect personal wellbeing while fostering productivity
- Career Advancement: Clear progression pathways as you develop skills within our growing organization
- Competitive Compensation: Attractive salary packages that recognize your contributions and expertise
Our Culture
At Spark Eighteen, our culture centers on innovation, excellence, and growth. We believe in:
- Quality-First: Delivering excellence rather than just quick solutions
- True Partnership: Building relationships based on trust and mutual respect
- Communication: Prioritizing clear, effective communication across teams
- Innovation: Encouraging curiosity and creative approaches to problem-solving
- Continuous Learning: Supporting professional development at all levels
- Collaboration: Combining diverse perspectives to achieve shared goals
- Impact: Measuring success by the value we create for clients and users
Apply Here - https://tinyurl.com/t6x23p9b
We are seeking a skilled and proactive Kubernetes Administrator with strong hands-on experience in managing Red Hat OpenShift environments. The ideal candidate will have a solid background in Kubernetes administration, ArgoCD, and Jenkins.
This role demands a self-motivated, quick learner who can confidently manage OpenShift-based infrastructure in production environments, communicate effectively with stakeholders, and escalate issues promptly when needed.
Key Skills & Qualifications
- Strong experience with Red Hat OpenShift and Kubernetes administration (OpenShift or Kubernetes certification a plus).
- Proven expertise in managing containerized workloads on OpenShift platforms.
- Experience with ArgoCD, GitLab CI/CD, and Helm for deployment automation.
- Ability to troubleshoot issues in high-pressure production environments.
- Strong communication and customer-facing skills.
- Quick learner with a positive attitude toward problem-solving.
- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
THE POSITION
Ashnik is looking for experienced technology consultant to work in DevOps team in pre-sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution.
QUALIFICATION AND EXPERIENCE
- Engineering or equivalent degree
- Must have at least 8 years of experience in IT industry designing and delivering solutions
- Must have at least 3 years of hand-on experience of Linux and Operating system
- Must have at least 3 years of experience of working in an environment with highly virtualized or cloud based infrastructure
- Must have at least 2 years hands on experience in CI/CD pipeline, micro-services, containerization and kubernetes
- Though coding is not needed in this role, the person should have ability to understand and debug code if required
- Should be able to explain complex solution in simpler ways
- Should be ready to travel 20-40% in a month
- Should be able to engage with customers to understand the fundamental/driving requirement
DESIRED SKILLS
- Past experience of working with Docker and/or Kubernetes at Scale
- Past experience of working in a DevOps team
- Prior experience in Pre-sales role
RESPONSIBILITIES
- Own pre-sales or sales engineering responsibility to design, present, deliver technical solution
- Be the point of contact for all technical queries for Sales team and partners
- Build full-fledged solution proposals with details of implementation and scope of work for customers
- Contribute in technical writings through blogs, whitepapers, solution demos
- Make presentations at events and participate in events.
- Conduct customer workshops to educate them about features in Docker Enterprise Edition
- Coordinate technical escalations with principal vendor
- Get an understanding of various other components and considerations involved in the areas mentioned above
- Be able to articulate value of technology vendor’s products that Ashnik is partnering with eg. Docker, Sysdig, Hashicorp, Ansible, Jenkins etc.
- Work with partners and sales team for responding to RFPs and tenders
WHAT IS IN IT FOR YOU?
You would be adding a great experience of working with a leading open source solutions company in South East Asia region to your career. You would get to learn from the leaders and grow in the industry. This would be a great opportunity for you to grow in your career through continuous learning, adding depth and breadth of technologies. Since we work with leading open source technologies and engage with large enterprises, it creates enormous possibilities for career growth for our team. Not to mention that our people find the journey with Ashnik to be exciting and a fulfilling experience.
Summary
We are building the fastest, most reliable & intelligent trading platform. That requires highly available, scalable & performant systems. And you will be playing one of the most crucial roles in making this happen.
You will be leading our efforts in designing, automating, deploying, scaling and monitoring all our core products.
Tech Facts so Far
1. 8+ services deployed on 50+ servers
2. 35K+ concurrent users on average
3. 1M+ algorithms run every min
4. 100M+ messages/min
We are a 4-member backend team with 1 Devops Engineer. Yes! this is all done by this incredible lean team.
Big Challenges for You
1. Manage 25+ services on 200+ servers
2. Achieve 99.999% (5 Nines) availability
3. Make 1-minute automated deployments possible
If you like to work on extreme scale, complexity & availability, then you will love it here.
Who are we
We are on a mission to help retail traders prosper in the stock market. In just 3 years, we have the 3rd most popular app for the stock markets in India. And we are aiming to be the de-facto trading app in the next 2 years.
We are a young, lean team of ordinary people that is building exceptional products, that solve real problems. We love to innovate, thrill customers and work with brilliant & humble humans.
Key Objectives for You
• Spearhead system & network architecture
• CI, CD & Automated Deployments
• Achieve 99.999% availability
• Ensure in-depth & real-time monitoring, alerting & analytics
• Enable faster root cause analysis with improved visibility
• Ensure a high level of security
Possible Growth Paths for You
• Be our Lead DevOps Engineer
• Be a Performance & Security Expert
Perks
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery













