
Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation. This role requires someone who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up. You’ll lead modernization initiatives, shape infrastructure strategy, and work with cutting-edge cloud-native technologies.
🚀 Key Responsibilities
Infrastructure Design & Implementation
- Architect and design enterprise-grade Kubernetes clusters across AWS, Azure, and GCP.
- Build production-ready Kubernetes infrastructure with HA, scalability, and security best practices.
- Implement Infrastructure as Code with Terraform, Helm, and GitOps workflows.
- Set up monitoring, logging, and observability for Kubernetes workloads.
- Design and execute backup and disaster recovery strategies for containerized applications.
Leadership & Team Management
- Lead a team of 3–4 DevOps engineers, providing technical mentorship.
- Drive best practices in containerization, orchestration, and cloud-native development.
- Collaborate with development teams to optimize deployment strategies.
- Conduct code reviews and maintain infrastructure quality standards.
- Build knowledge-sharing culture with documentation and training.
Operational Excellence
- Manage and scale CI/CD pipelines integrated with Kubernetes.
- Implement security policies (RBAC, network policies, container scanning).
- Optimize cluster performance and cost-efficiency.
- Automate operations to minimize manual interventions.
- Ensure 99.9% uptime for production workloads.
Strategic Planning
- Define the infrastructure roadmap aligned with business needs.
- Evaluate and adopt new cloud-native technologies.
- Perform capacity planning and cloud cost optimization.
- Drive risk assessment and mitigation strategies.
🛠 Must-Have Technical Skills
Kubernetes Expertise
- 6+ years of hands-on Kubernetes experience in production.
- Deep knowledge of Kubernetes architecture (etcd, API server, scheduler, kubelet).
- Advanced Kubernetes networking (CNI, Ingress, Service mesh).
- Strong grasp of Kubernetes storage (CSI, PVs, StorageClasses).
- Experience with Operators and Custom Resource Definitions (CRDs).
Infrastructure as Code
- Terraform (advanced proficiency).
- Helm (developing and managing complex charts).
- Config management tools (Ansible, Chef, Puppet).
- GitOps workflows (ArgoCD, Flux).
Cloud Platforms
- Hands-on experience with at least 2 of the following:
- AWS: EKS, EC2, VPC, IAM, CloudFormation
- Azure: AKS, VNets, ARM templates
- GCP: GKE, Compute Engine, Deployment Manager
CI/CD & DevOps Tools
- Jenkins, GitLab CI, GitHub Actions, Azure DevOps
- Docker (advanced optimization and security practices)
- Container registries (ECR, ACR, GCR, Docker Hub)
- Strong Git workflows and branching strategies
Monitoring & Observability
- Prometheus & Grafana (metrics and dashboards)
- ELK/EFK stack (centralized logging)
- Jaeger/Zipkin (tracing)
- AlertManager (intelligent alerting)
💡 Good-to-Have Skills
- Service Mesh (Istio, Linkerd, Consul)
- Serverless (Knative, OpenFaaS, AWS Lambda)
- Running databases in Kubernetes (Postgres, MongoDB operators)
- ML pipelines (Kubeflow, MLflow)
- Security tools (Aqua, Twistlock, Falco, OPA)
- Compliance (SOC2, PCI-DSS, GDPR)
- Python/Go for automation
- Advanced Shell scripting (Bash/PowerShell)
🎓 Qualifications
- Bachelor’s in Computer Science, Engineering, or related field.
- Certifications (preferred):
- Certified Kubernetes Administrator (CKA)
- Certified Kubernetes Application Developer (CKAD)
- Cloud provider certifications (AWS/Azure/GCP).
Experience
- 6–7 years of DevOps/Infrastructure engineering.
- 4+ years of Kubernetes in production.
- 2+ years in a lead role managing teams.
- Experience with large-scale distributed systems and microservices.
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
Role and responsibilities
- Expertise in AWS (Most typical Services),Docker & Kubernetes.
- Strong Scripting knowledge, Strong Devops Automation, Good at Linux
- Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
- Strong understanding of AWS networking and. Strong with Security & Certificates.
Nice-to-have skills
- Involved in Product Engineering
Hammoq is an exponentially growing Startup in US and UK.
Design and implement secure automation solutions for development, testing, and production environments
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Build and deploy automation, monitoring, and analysis solutions
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Manage our continuous integration and delivery pipeline to maximize efficiency
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Implement industry best practices for system hardening and configuration management
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Secure, scale, and manage Linux virtual environments
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Develop and maintain solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring
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Continuously evaluate existing systems with industry standards, and make recommendations for improvement
Desired Skills & Experiences
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Bachelor’s or Master's degree in Computer Science, Engineering, or related field
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Understanding of system administration in Linux environments
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Strong knowledge of configuration management tools
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Familiarity with continuous integration tools such as Jenkins, Travis CI, Circle CI
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Proficiency in scripting languages including Bash, Python, and JavaScript
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Strong communication and documentation skills
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An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
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Excellent judgment, analytical thinking, and problem-solving skills
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Full understanding of software development lifecycle best practices
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Self-motivated individual that possesses excellent time management and organizational skills
In PM's Words
Bash scripting, Containerd(or docker), Linux Operating system basics, kubernetes, git, Jenkins ( or any pipeline management), GCP ( or idea on any cloud technology)
Linux is major..most of the people are coming from Windows.. we need Linux.. and if windows is also there it will be added advantage
There is utmost certainilty that you will be working with an amazing team...
Designation : DevOp Engineer
Location : HSR, Bangalore
About the Company
Making impact driven by Data.
Vumonic Datalabs is a data-driven startup providing business insights to e-commerce & e-tail companies to help them make data-driven decisions to scale up their business and understand their competition better. As one of the EU's fastest growing (and coolest) data companies, we believe in revolutionizing the way businesses make their most important business decisions by providing first-hand transaction based insights in real-time..
About the Role
We are looking for an experienced and ambitious DevOps engineer who will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. As a DevOps engineer at Vumonic Datalabs, you will have the opportunity to work with a thriving global team to help us build functional systems that improve customer experience. If you have a strong background in software engineering, are hungry to learn, compassionate about your work and are familiar with the mentioned technical skills, we’d love to speak with you.
What you’ll do
- Optimize and engineer the Devops infrastructure for high availability, scalability and reliability.
- Monitor Logs on servers & Cloud management
- Build and set up new development tools and infrastructure to reduce occurrences of errors
- Understand the needs of stakeholders and convey this to developers
- Design scripts to automate and improve development and release processes
- Test and examine codes written by others and analyze results
- Ensure that systems are safe and secure against cybersecurity threats
- Identify technical problems, perform root cause analysis for production errors and develop software updates and ‘fixes’
- Work with software developers, engineers to ensure that development follows established processes and actively communicates with the operations team.
- Design procedures for system troubleshooting and maintenance.
What you need to have
TECHNICAL SKILLS
- Experience working with the following tools : Google Cloud Platform, Kubernetes, Docker, Elastic Search, Terraform, Redis
- Experience working with following tools preferred : Python, Node JS, Mongo-DB, Rancher, Cassandra
- Experience with real-time monitoring of cloud infrastructure using publicly available tools and servers
- 2 or more years of experience as a DevOp (startup/technical experience preferred)
You are
- Excited to learn, are a hustler and “Do-er”
- Passionate about building products that create impact.
- Updated with the latest technological developments & enjoy upskilling yourself with market trends.
- Willing to experiment with novel ideas & take calculated risks.
- Someone with a problem-solving attitude with the ability to handle multiple tasks while meeting expected deadlines.
- Interested to work as part of a supportive, highly motivated and fun team.
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.


Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems


