CoffeeBeans
https://coffeebeans.ioAbout
CoffeeBeans Consulting is a technology partner dedicated to driving business transformation. With deep expertise in Cloud, Data, MLOPs, AI, Infrastructure services, Application modernization services, Blockchain, and Big Data, we help organizations tackle complex challenges and seize growth opportunities in today’s fast-paced digital landscape. We’re more than just a tech service provider; we're a catalyst for meaningful change
Tech stack
JavaCandid answers by the company
CoffeeBeans Consulting, founded in 2017, is a high-end technology consulting firm that helps businesses build better products and improve delivery quality through a mix of engineering, product, and process expertise. They work across domains to deliver scalable backend systems, data engineering pipelines, and AI-driven solutions, often using modern stacks like Java, Spring Boot, Python, Spark, Snowflake, Azure, and AWS. With a strong focus on clean architecture, performance optimization, and practical problem-solving, CoffeeBeans partners with clients for both internal and external projects—driving meaningful business outcomes through tech excellence.
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Jobs at CoffeeBeans
Java
Amazon Web Services (AWS)
KubernetesKey Responsibilities
- Design, develop, and implement backend services using Java (latest version), Spring Boot, and Microservices architecture.
- Participate in the end-to-end development lifecycle, from requirement analysis to deployment and support.
- Collaborate with cross-functional teams (UI/UX, DevOps, Product) to deliver high-quality, scalable software solutions.
- Integrate APIs and manage data flow between services and front-end systems.
- Work on cloud-based deployment using AWS or GCP environments.
- Ensure performance, security, and scalability of services in production.
- Contribute to technical documentation, code reviews, and best practice implementations.
Required Skills:
- Strong hands-on experience with Core Java (latest versions), Spring Boot, and Microservices.
- Solid understanding of RESTful APIs, JSON, and distributed systems.
- Basic knowledge of Kubernetes (K8s) for containerization and orchestration.
- Working experience or strong conceptual understanding of cloud platforms (AWS / GCP).
- Exposure to CI/CD pipelines, version control (Git), and deployment automation.
- Familiarity with security best practices, logging, and monitoring tools.
Preferred Skills:
- Experience with end-to-end deployment on AWS or GCP.
- Familiarity with payment gateway integrations or fintech applications.
- Understanding of DevOps concepts and infrastructure-as-code tools (Added advantage).
KubernetesAmazon Web Services (AWS)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.
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