AWS Kubernetes Engineer Job Summary: The AWS Kubernetes Engineer will be responsible for designing, implementing, and managing highly scalable, reliable, and secure cloud-native applications and infrastructure on Amazon Web Services (AWS) using Kubernetes. This role requires deep expertise in containerization, orchestration, cloud computing, and DevOps practices to build and maintain automated, production-grade environments for critical applications. Key Responsibilities: Kubernetes Cluster Management & Orchestration: Design, deploy, and manage highly available and fault-tolerant Kubernetes clusters on AWS using services like Amazon Elastic Kubernetes Service (EKS) or self-managed Kubernetes. Implement and optimize container orchestration strategies, including deployment management, scaling, auto-healing, and resource allocation. Manage Kubernetes components such as API server, scheduler, controller manager, kubelet, and etcd, ensuring their health and performance. Utilize Kubernetes networking (CNI, service mesh like Istio or App Mesh) and storage solutions (CSI, EBS, EFS) for containerized applications. AWS Cloud Infrastructure Development: Provision, configure, and manage AWS cloud resources (e.g., EC2, VPC, ALB, RDS, S3, IAM, CloudWatch) to support Kubernetes deployments and application infrastructure. Implement Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation to automate the provisioning and management of cloud resources. Ensure secure and compliant cloud environments by implementing best practices for network security, access control, and data encryption. CI/CD & DevOps Automation: Design, implement, and maintain robust Continuous Integration and Continuous Delivery (CI/CD) pipelines for containerized applications using tools like Jenkins, GitLab CI/CD, GitHub Actions, or AWS CodePipeline/CodeBuild. Automate deployment, testing, and release processes to ensure rapid and reliable software delivery. Develop and maintain scripts (e.g., Python, Bash) and automation tools to streamline operational tasks and improve efficiency. Monitoring, Logging & Troubleshooting: Implement comprehensive monitoring and alerting solutions for Kubernetes clusters and applications using tools such as Prometheus, Grafana, Datadog, or AWS CloudWatch Container Insights. Establish centralized logging solutions (e.g., ELK Stack, Fluentd, Sumo Logic) for effective troubleshooting and operational visibility. Proactively identify and resolve complex infrastructure and application issues within Kubernetes and AWS environments, including performance bottlenecks and stability concerns. Security & Compliance: Implement security best practices for Kubernetes (e.g., network policies, RBAC, pod security policies, secrets management with AWS Secrets Manager or Vault). Ensure compliance with industry standards and internal security policies. Conduct regular security audits and vulnerability assessments of the containerized environment. Collaborate with security teams to integrate security into the CI/CD pipeline. Required Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a closely related field. 6 to 8 years of progressive experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles. At least 3 years of hands-on experience with Kubernetes, including cluster deployment, management, and troubleshooting. Strong experience with Amazon Web Services (AWS), including foundational services (EC2, VPC, S3, IAM) and container services (EKS, ECS). Proficiency in scripting languages such as Python or Bash. Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Solid understanding of CI/CD principles and experience with relevant tools. Familiarity with monitoring and logging tools for distributed systems. Strong understanding of networking concepts (TCP/IP, DNS, Load Balancing) and their application in cloud and container environments. Excellent problem-solving, analytical, and communication skills.

Java Developer: Job Description We are looking for a skilled Mid-Level Software Engineer/Developer, proficient in Java/Spring to join our growing team. The ideal candidate is experienced in building high-performance, scalable applications using the Java 8+, Spring Framework , and has a strong understanding of distributed systems . Youll work closely with product owners, architects, front end, and other members in the team to design and implement backend solutions that are reliable, maintainable, and cloud ready. Key Responsibilities Develop and maintain Java-based backend services using the Spring ecosystem (Spring Boot, Spring Data, Spring Cloud, etc.) Design, build, and deploy distributed systems with a focus on scalability, availability, and performance Collaborate with DevOps, QA, and Frontend teams to deliver full-stack features Participate in code reviews, mentoring, and architectural discussions Troubleshoot and resolve production issues and performance bottlenecks Write clean, maintainable code and follow best practices in software engineering Required Qualifications 5-10 years of professional Java development experience Strong Object-Oriented Concepts with knowledge of latest Java Language features Knowledge of Design Patterns, SOLID Principles, Clean Code, Unit Testing , Integration Testing Strong hands-on experience with Spring Framework (Spring Boot, Spring Data, Spring Cloud, Spring Integration, Spring Security, etc.) Solid understanding of distributed architecture and microservices design patterns Experience with RESTful/Graph QL APIs , messaging systems (Kafka, RabbitMQ), and asynchronous processing Proficiency with SQL and NoSQL databases like Oracle, Postgres, Redis, MongoDB etc. Familiarity with cloud platforms (e.g ., AWS, GCP, Azure ) and containerization tools like Docker and Kubernetes Strong problem-solving and debugging skills Creative and Logical thinker who can work independently without supervision Preferred Qualifications Exposure to CI/CD pipelines and tools like Jenkins, GitLab CI, or GitHub Actions Exposure to monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Awareness of Cloud Native/Serverless principles Awareness of different architectural styles and qualities Awareness of System Design principles