7 Clusters Jobs

As a Cloud Service Technician, you will be responsible for understanding the requirements of cloud services, testing, integrating, and deploying implemented cloud services. You will also be analyzing performance, diagnosing and troubleshooting services, as well as entering and tracking defects. Your role will involve interacting with customers, vendors, partners, and development teams to ensure effective communication and collaboration. To excel in this role, you should have experience with technologies such as REST, Angular, Messaging, Databases, etc. Strong troubleshooting skills and issue isolation skills are essential for effectively identifying and resolving issues. Knowledge of load balancing, clusters, and building scalable systems will be crucial in optimizing cloud service performance. Additionally, familiarity with Linux administration is required to manage cloud services efficiently. Experience in tools like Selenium (IDE, RC, Web driver & Grid), Junit, TestNg, Java Framework, Mobile Testing, J2EE, SOAPUI, QTP will be beneficial for carrying out testing activities effectively. Strong programming skills in Java/Core Java will also be necessary for scripting and automation tasks. If you are passionate about cloud services and possess the required skills and experience, we encourage you to apply for this challenging and rewarding position.,

As a skilled Node.js developer, you will be responsible for developing, optimizing, and maintaining web-based applications with a strong focus on performance and scalability. Your main tasks will involve writing clean, efficient, and well-documented code in Node.js, as well as working with databases such as MongoDB or ElasticSearch to handle large datasets while ensuring optimal database performance. In addition to these responsibilities, you will be expected to implement and maintain a Microservices architecture, as well as utilize tools like Git, Docker, and connection pooling to streamline development processes. Your role will also involve developing and managing child processing and IPC (Inter-Process Communication) for high-performance tasks, and working with technologies like RabbitMQ and WebSockets to handle real-time data streams and asynchronous operations. Moreover, you will play a crucial role in ensuring the efficient processing and translation of billions of records in databases, while collaborating with cross-functional teams to optimize code quality and system performance. It is essential for the ideal candidate to have proven experience with Node.js and either MongoDB or Elastic, along with a solid understanding of performance optimization techniques and familiarity with microservices, Git, Docker, and large-scale distributed systems. Experience in working with child processes and IPC in a high-performance environment, as well as strong problem-solving skills focused on reducing execution costs and improving system performance, will be valuable assets in this role. Additionally, knowledge of PHP is considered a good-to-have skill for this position.,

Key Skills & Requirements: Primary skill : Node.js Secondary skill : React.js Primary Database : ElasticSearch, MongoDB Secondary Databases : Redis, MySQL Other Technologies : Message Broker (RabbitMQ/Kafka, etc.), WebSockets, TCP, Socket Programming, Child Processing, Clusters, Inter-Process Communication (IPC), Tokenization. Responsibilities : Develop, optimize, and maintain web-based applications with a focus on performance and scalability. Write clean, efficient, and well-documented code in Node.js. Work with MongoDB or ElasticSearch for handling large datasets and ensure optimal database performance. Implement and maintain Microservices architecture, Git, Docker, and connection pooling for efficient development processes. Develop and manage child processing and IPC (Inter-Process Communication) for high-performance tasks. Work with RabbitMQ (or any other message broker) and WebSockets to handle real-time data streams and asynchronous operations. Ensure the efficient processing and translation of billions of records in databases. Collaborate with cross-functional teams to optimize code quality and system performance. Good to havePHP Ideal Candidate Profile: Proven experience with Node.js and MongoDB or Elastic Solid understanding of performance optimization techniques, especially in relation to code efficiency and database management. Familiarity with microservices, Git, Docker, and handling large-scale distributed systems. Experience working with child processes and IPC in a high-performance environment. Strong problem-solving skills, with a keen interest in reducing execution costs and improving system performance.

Primary Skills Databricks Engineer: 7+ yrs of total experience with around 3 yrs in leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS / Azure cloud environment. Create new Databricks workspaces (premium, standard, serverless) and clusters including right sizing Drop unused workspaces Delta Sharing: Work with enterprise teams on connected data (data sharing) User Management \ Create new security groups and add/delete users Assign Unity Catalog permissions to respective groups/teams Review and analyze Databricks logs and error messages. Identify and address problems related to cluster configuration or job failures. Optimize Databricks notebooks and jobs for performance. Develop and test Databricks clusters to ensure stability and scalability. Outlines the security and compliance obligations of Databricks. Creating and maintaining database standards and policies. Administering database objects to achieve optimum utilization. Mentor team members on cluster management, job optimization, and resource allocation within Databricks environments Ensure adherence to compliance standards and maintain platform security Drive adoption of advanced capabilities in Databricks like Photon and Graviton instances for improved efficiency Regularly update and refine existing architectures to meet changing business and technology needs Cloud computing expertise : A strong understanding of cloud computing services, including cloud infrastructure, software, and platform as a service (IaaS, SaaS, and PaaS). Proficiency in cloud platforms (AWS, Azure), networking, security, programming, scripting, database management, automation tools. Secondary / or Good to Have Skills. Experience on DevOps: Preferably Terraform and GIT to develop WF for automation.

Location : PAN India Work Timings : 24/7 Rotational shifts Exp : 6 10 Years Mandatory Skills : Below highlighted in yellow are key skills required. JD: Good hands-on experience on Database Administration, deep understanding of DBA concepts, best practices. Experience on Installation, configuration and upgrading MongoDB software and products. Creating and sizing database storage structures and database objects Design/Implement Backup and Recovery setups based on application requirements. Experience on managing Docker MongoDB Images on Linux servers. Excellent MongoDB internals knowledge storage engines, concurrency, memory, journaling, and checkpoints. Troubleshooting performance issues profiler, indexes, and server status and host metrics. MongoDB Security: Auditing, Kerberos, authorization and internal/external authentication methods available in Enterprise MongoDB version. Strong Experience implementing multi-data center replica set and sharded clusters in Linux and windows environments. Ops Manager: implementation, monitoring, backup and automation. Experience on MongoDB Clustering, Sharding and scaling across data centers. Expert coding skills with at least one of Shell Script , Python or Java Expert in Mongo DB CRUD operations and in aggregation framework.

Role - Senior Platform Engineer - Kubernetes Preferred skills and experience: At least 5 years of experience in managing and supporting Kubernetes clusters at platform operation layer, and its ecosystem. At least 3 years of infrastructure management and support, not limited to SSL certificate, Virtual IP. Proficiency in managing Kubernetes clusters using tools such as `kubectl`, Helm, or Kustomize. In-depth knowledge and experience of container technologies, including Docker. Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes services (EKS, GKE, AKS). Understanding of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Experience with monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of centralized logging systems like Fluentd, Logstash, or Loki. Proficiency in scripting languages (e.g., Bash, Python, or Go). Experience in supporting Public Cloud or hybrid cloud environments. Have a good understanding of Linux systems, hosts, networks, security, applications and districted systems. Demonstrate strong analytical and problem-solving skills, with experience in root cause analysis. Excellent team player with exceptional interpersonal skill and written communication skills. Working in global shift rotation is required and expected. Completion of CKA is required. Experience with CI/CD pipelines using Jenkins, GitLab, or similar tools. Managing and support of pipelines is an advantage, but will not be the responsibility for this position. This, however, helps to work with DevOps Engineer in issue resolution and solutioning.

Job Description: Experience in designing, building, and maintaining AWS Cloud Infrastructure. Proficient in AWS services including EC2, S3, RDS, VPC, Redshift, ECS, Route 53, Load Balancers, Auto Scaling, Cost Explorer, and others. Experience setting up ECS/EKS clusters, configuring deployments, and implementing performance-based scaling. Familiar with Docker images, Docker Hub, AMIs, etc. Skilled in automating infrastructure setup using Terraform and CloudFormation. Experience in setting up new environments based on specific landing page requirements and industry best practices. Hands-on experience with AWS IAM, including configuring roles, policies, and user groups. Experience in setting up RDS databases (MySQL, Redshift, PostgreSQL, MariaDB) and managing intranet user access. Skilled in troubleshooting connectivity issues. Specialized knowledge in network configurations using services such as VPC, Subnets, Security Groups, NAT Gateways, Internet Gateways, Route 53, WAF, etc. Experience in DevOps and CI/CD processes. Proficient with Bitbucket/GitHub for pipeline creation and familiar with ticketing systems like ServiceNow and Jira. Strong background in cost analysis and resource optimization. Knowledgeable in using Trusted Advisor, Cost Explorer, and tagging for granular cost insights. Experience with AMI upgrades, patch application, and maintenance window management. Skilled in monitoring AWS environments using tools such as New Relic, Splunk, Prometheus, Grafana, and others. Solid understanding of cloud architecture best practices and security guidelines. Experience in documenting SOPs, creating knowledge bases, and maintaining technical documentation. Demonstrated ability to work independently with clear communication skills. Collaborate effectively as a proactive and supportive team player.