1623 Grafana Jobs - Page 12

Location PAN India As per companys designated LTIM locations Shift Type Rotational Shifts including Night Shift and Weekend Availability Experience 7 Years of Exp Job Summary We are looking for a skilled and adaptable Site Reliability Engineer SRE Observability Engineer to join our dynamic project team The ideal candidate will play a critical role in ensuring system reliability scalability observability and performance while collaborating closely with development and operations teams This position requires strong technical expertise problemsolving abilities and a commitment to 247 operational excellence Key Responsibilities Site Reliability Engineering Design build and maintain scalable and reliable infrastructure Automate system provisioning and configuration using tools like Terraform Ansible Chef or Puppet Develop tools and scripts in Python Go Java or Bash for automation and monitoring Administer and optimize LinuxUnix systems with a strong understanding of TCPIP DNS load balancers and firewalls Implement and manage cloud infrastructure across AWS or Kubernetes Maintain and enhance CICD pipelines using tools like Jenkins ArgoCD Monitor systems using Prometheus Grafana Nagios or Datadog and respond to incidents efficiently Conduct postmortems and define SLAsSLOs for system reliability and performance Plan for capacity and performance using benchmarking tools and implement autoscaling and failover systems Observability Engineering Instrument services with relevant metrics logs and traces using OpenTelemetry Prometheus Jaeger Zipkin etc Build and manage observability pipelines using Grafana ELK Stack Splunk Datadog or Honeycomb Work with timeseries databases eg InfluxDB Prometheus and log aggregation platforms Design actionable s and dashboards to improve system observability and reduce fatigue Partner with developers to promote observability best practices and define key performance indicators KPIs Required Skills Qualifications Proven experience as an SRE or Observability Engineer in complex production environments Handson expertise in LinuxUnix systems and cloud infrastructure AWSKubernetes Strong programming and scripting skills in Python Go Bash or Java Deep understanding of monitoring logging and ing systems Experience with modern Infrastructure as Code and CICD practices Ability to analyze and troubleshoot production issues in realtime Excellent communication skills to collaborate with crossfunctional teams and stakeholders Flexibility to work in rotational shifts including night shifts and weekends as required by project demands A proactive mindset with a focus on continuous improvement and reliability Additional Requirements Excellent communication skills to collaborate with crossfunctional teams and stakeholders Flexibility to work in rotational shifts including night shifts and weekends as required by project demands A proactive mindset with a focus on continuous improvement and reliability

Role & responsibilities We are looking for an experienced and driven Senior Site Reliability Engineer (SRE) to architect, implement, and maintain robust cloud infrastructure. This role demands a deep understanding of AWS, Kubernetes, ECS, and the ability to build scalable, secure, and highly available infrastructure from scratch. The ideal candidate will be a strong advocate for DevOps principles, automation, and reliability, and will possess the skills to support and optimize complex microservices-based architectures. Key Responsibilities Infrastructure Design & Implementation Design and build highly scalable, fault-tolerant, and secure cloud infrastructure using AWS, Kubernetes, and ECS. Lead efforts in infrastructure as code (IaC) using tools like Terraform or CloudFormation. Develop and enforce best practices for infrastructure provisioning, security, and cost optimization. System Reliability & Performance Ensure availability, performance, scalability, and security of production systems. Implement observability strategies including monitoring, logging, and alerting using tools such as Prometheus, Grafana, ELK, or Datadog. Analyse system performance metrics and proactively identify potential issues and bottlenecks. DevOps & Automation Build and maintain CI/CD pipelines to streamline code deployments across environments. Drive automation in infrastructure provisioning, configuration management, and operational tasks. Ensure repeatable and reliable deployments using containers and orchestration tools like Kubernetes and ECS. Service Management Own the SRE lifecycle, including incident management, postmortems, root cause analysis, and runbook creation. Collaborate closely with development and QA teams to ensure seamless microservices integration, deployment, and lifecycle management. Maintain service-level objectives (SLOs), service-level agreements (SLAs), and error budgets. Security & Compliance Implement and enforce cloud security best practices for networking, identity and access management, and data protection. Support audits, compliance assessments, and vulnerability remediation. Monitor for security anomalies and work with security teams to respond to threats. Technical Skills 6+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Engineering. Expertise in AWS services such as EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch, etc. Strong knowledge of Kubernetes and container orchestration best practices. Experience managing services on Amazon ECS (Fargate or EC2). Proficient in infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi. Skilled in scripting languages such as Python, Bash, or Go. Solid grasp of networking, load balancing, DNS, and firewall rules in cloud environments. Deep understanding of microservices architectures, API gateways, and service meshes. Soft Skills Proven leadership and cross-functional collaboration skills. Strong problem-solving and incident-resolution mindset. Clear communication, documentation, and stakeholder reporting abilities. Passion for continuous improvement and automation. Preferred Qualifications AWS certifications such as AWS Certified DevOps Engineer, Solutions Architect Professional, or equivalent. Familiarity with service meshes like Istio or Linkerd. Experience with serverless architectures and event-driven systems. Knowledge of regulatory compliance (SOC2, ISO 27001, GDPR) in cloud environments.

Candidate will be responsible for the maintenance, optimization, and day-to-day operations of open-source observability platform. Must have expertise in Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), and OpenTelemetry to ensure the health, performance, and reliability of our critical systems and applications. Will play a key role in designing, configuring, and implementing observability solutions, triaging and resolving observability-related issues, developing custom dashboards and alerts, and collaborating with development and operations teams to enhance our monitoring capabilities. Key Responsibilities: Platform Management & Maintenance: * Administer, maintain, and optimize existing Prometheus, Grafana, and ELK Stack deployments, ensuring high availability and performance. * Perform regular upgrades, patching, and configuration management of observability tools. * Monitor the health and performance of the observability infrastructure itself, proactively identifying and resolving issues. * Manage data retention, storage, and archiving strategies for metrics, logs, and traces. Monitoring & Alerting: * Design, configure, and implement monitoring solutions using Prometheus and Grafana for various applications, services, and infrastructure components. * Develop and refine PromQL queries to extract meaningful insights from time-series data. * Configure and manage alerting rules in Prometheus Alertmanager and Grafana to ensure timely notification of critical events. * Collaborate with development teams to define appropriate metrics, logging standards, and tracing instrumentation. Logging & Tracing: * Manage and optimize ELK Stack for centralized log aggregation, analysis, and visualization. * Configure and implement Logstash pipelines for efficient data ingestion and transformation. * Develop Kibana dashboards and searches for effective log correlation and troubleshooting. * Design, implement, and manage distributed tracing solutions using OpenTelemetry, ensuring end-to-end visibility across microservices. * Assist development teams in adopting OpenTelemetry for comprehensive application instrumentation. Troubleshooting & Support (L2 Focus): * Serve as an L2 escalation point for observability-related incidents, performing root cause analysis and implementing solutions. * Debug and resolve issues related to data collection, processing, visualization, and alerting. * Provide guidance and support to development and operations teams on how to effectively use observability tools for troubleshooting and performance analysis. * Create and maintain comprehensive documentation, runbooks, and troubleshooting guides. Dashboarding & Visualization: * Develop, customize, and maintain Grafana dashboards to provide actionable insights into system performance, application health, and business metrics. * Create meaningful visualizations and reports for various stakeholders. Collaboration & Improvement: * Work closely with SRE, DevOps, Development, and Infrastructure teams to integrate observability best practices throughout the software development lifecycle. * Participate in on-call rotations as needed to support critical observability infrastructure. * Continuously research and evaluate new open-source observability tools and technologies to improve our capabilities. * Contribute to the automation of observability tasks and workflows. Required Skills and Experience: * Communication: * Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Nice to Have: * Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible for managing observability infrastructure. * Familiarity with other observability tools like Loki, Tempo, Jaeger, or similar. * Understanding of ITIL processes and incident management. * Experience with CI/CD pipelines and integrating observability into the deployment process.

We are looking for a highly skilled and experienced High Availability Systems Specialist to join our team at Ezeiatech Systems Private Limited. The ideal candidate will have 2-7 years of experience in the IT Services & Consulting industry. Roles and Responsibility Design, implement, and maintain high availability systems to ensure minimal downtime and optimal performance. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and execute test plans to validate system functionality and reliability. Troubleshoot complex technical issues and provide root cause analysis reports. Implement disaster recovery procedures to minimize data loss and business disruption. Conduct regular system audits to ensure compliance with industry standards and best practices. Job Requirements Strong understanding of high availability systems design principles and architectures. Experience with clustering technologies such as Active-Active Cluster or Active-Passive Cluster. Knowledge of load balancing techniques including IP rotation and DNS round robin. Familiarity with monitoring tools like Zabbix, Cacti, or Grafana. Excellent problem-solving skills with the ability to analyze complex technical issues. Strong communication and collaboration skills to work effectively with cross-functional teams.

Technical Expertise Solid Python programming (OOPS, REST, API), SQL & Linux experience, handling ODBC/JDBC/Arrowflight connections. Have done projects handling large volume of data, implemented MMP tools and strong knowledge of storage solutions (NAS, S3, HDFS) and data formats (parquet, avro, iceberg) Strong knowledge of Kubernetes, containerization, Helm chart, templates and overlay, Vault, SSL/TSL, KB stores Prior knowledge of key libraries e.g. S3, MongoDB, Elastic, Trident NAS, Grafana etc will be big plus. Used Git and built CI-CD pipelines in recent projects. Additional Criteria Proactive in asking questions, indulge with team in group conversations, actively participate in issues discussions, share inputs/ideas/suggestions. Candidate needs to be responsive, actively pick new tasks/issues by him/herself without much mentoring/monitoring. NO REMOTELY located candidate. Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker Beh - Communication Programming Language - Python - Django Big Data - Big Data - Flask DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Data Science and Machine Learning - Data Science and Machine Learning - Python Middleware - API Middleware - API (SOAP, REST) Cloud - AWS - AWS S3, S3 glacier, AWS EBS Cloud - AWS - Amazon Elastic Container Registry (ECR), AWS Elastic Kubernetes Service (EKS)

We are looking for a highly skilled Observability Engineer with 1 to 6 years of experience to join our team in the IT Services & Consulting industry. The ideal candidate will have expertise in designing and implementing monitoring solutions, ensuring high availability and scalability. Roles and Responsibility Design and implement scalable monitoring solutions using various tools and technologies. Collaborate with cross-functional teams to identify and prioritize monitoring requirements. Develop and maintain dashboards and reports to provide insights into system performance. Troubleshoot issues and optimize system performance for improved reliability. Ensure compliance with security and regulatory standards. Participate in on-call rotations for 24/7 support. Job Requirements Strong understanding of monitoring tools and technologies such as Prometheus, Grafana, and ELK stack. Experience with cloud-based platforms such as AWS or Azure. Knowledge of programming languages such as Python or Java. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

Role Description 1. Cloud Infrastructure Management: 1. Deploy, configure, and manage OCI resources, including compute instances, storage, networking, and databases. 2. Monitor cloud infrastructure performance, availability, and scalability. 3. Implement and maintain cloud infrastructure best practices and standards. 2. Security and Compliance: 1. Ensure OCI environments are secure by implementing proper access controls, encryption, and security policies. 2. Monitor and manage security alerts and compliance issues. 3. Regularly review and update security configurations to meet compliance requirements. 4. Well aware about security services like Cloud guard, security zone and Vulnerability scanning service. 3. Networking and connectivity: 1. Deploy, configure and manage Fast Connect and IPSec VPN service. 2. Good understanding of networking parameters like BGP and routing methodology. 3. Should be able to identify and update rules in security list and NSG. 4. Well aware about connectivity components like DRG and RPC. 4. Storage and Backup: 1. Good understanding of OCI storage services like Block, Object and FSS storage. 2. Configure and apply OCI backup policies. 3. Manage, perform life cycle management for backups & storage and replication to another region. 5. Identity and Access Management: 1. Good understanding for Users, Groups and policy. 2. Well aware about the integration of IAM with external Active directory service. 3. Configure and manage compartments as per required criteria. 4. Good understanding of common and complex policy rules. 6. Automation and Optimization: 1. Develop automation scripts using tools like Terraform, Ansible, or OCIs native automation tools for provisioning and managing resources. 2. Optimize cloud resource usage and costs by monitoring and adjusting resource allocations. 3. Well aware about OCI FinOps services like Cost Analysis, Budgets and cost & usage reports and setting up Quota to compartment. 4. Implement and manage backup, disaster recovery, and high-availability strategies. 7. Monitoring and Incident Management: 1. Set up monitoring and alerting for OCI resources using tools like OCI Observability & Management, Grafana, or other third-party tools. 2. Respond to incidents, troubleshoot issues, and perform root cause analysis to resolve infrastructure problems. 3. Ensure high availability and uptime of OCI services and applications. 8. Collaboration and Support: 1. Work closely with application development, IT operations, and security teams to support cloud infrastructure needs. 2. Assist in planning and implementing cloud migrations and upgrades. 3. Provide support and guidance to users on OCI best practices and usage. 9. Documentation and Reporting: 1. Maintain up-to-date documentation on cloud infrastructure configurations, processes, and procedures. 2. Generate regular reports on cloud resource usage, performance, and security. 3. Document and communicate changes, incidents, and resolutions to relevant stakeholders. 10. Continuous Improvement: 1. Stay updated with the latest OCI services, features, and best practices. 2. Evaluate and recommend new cloud technologies and solutions to improve infrastructure performance and security. 3. Participate in continuous improvement initiatives to enhance operational efficiency and service quality. Technical Skills Nice-to-have skills 1. OCI certifications, such as Oracle Cloud Infrastructure Architect Associate or Professional. 2. Knowledge of DevOps practices and CI/CD pipelines. 3. Familiarity with container orchestration tools like Kubernetes and Docker. 4. Strong analytical, problem-solving, and communication skills. Qualifications 1. Bachelors degree in Computer Science, Information Technology, or a related field. 2. At least 3-5 years of experience in cloud administration, with specific experience in Oracle Cloud Infrastructure. 3. Strong knowledge of OCI services, including compute, storage, networking, databases, and security. 4. Experience with infrastructure-as-code tools like Terraform, Ansible, or similar. 5. Proficiency in scripting languages such as Python, Bash, or PowerShell. 6. Solid understanding of network and security concepts in cloud environments. 7. Ability to troubleshoot and resolve complex cloud infrastructure issues. Ability to work in 24x7 rotational shift from Pune office

Role Description Defining and enforcing the release and build management processes and pattern. Design and deployment in Agile DevOps environment. Work on Oracle cloud and On-prem cloud migration & automation projects Manage and maintain Kubernetes nodes and cluster. Owning best practices, implementation of quality standards, PR & code reviews Working in collaboration with engineers & architects in US Building up environments independently to test assigned work Experience with implementing "infrastructure as code", pipeline as code and "security as code" to enable continuous integration and delivery. Experience in developing POCs and participate in customer demonstrations. Presenting the results and outcomes to various stakeholders forums. Investigate customer problems referred by technical support. Engage and participate on an Agile team of a world-class software developers. Apply independence and creativity to problem solving across project assignments. Effectively communicate with team members, project managers and clients, as required. Technical Skills 8+ years of overall IT experience with at least 5+ years of strong experience in DevOps. Experience with CI/CD pipeline with detailed understanding of Git, Jenkins, Gitlab CI, Artifactory, Docker, Kubernetes, Helm Terraform, Chef and Ansible. Hands on experience in automating the agile application lifecycle including provision, build, test, harden, deploy activities. Experience in working with Oracle OCI cloud. Hands on experience with scripting language like pearl, shell and Python Knowledge and experience with building production grade solutions using Cloud services such as EC2, ECS, ELB, Route53, Cloudwatch, MultiAZ, VPC, IAM, WAF, Cognito etc. Experience in creating and maintaining Kubernetes clusters in both cloud and on-premises setup. Automation and Deployment tools like Terraform/ Chef / Ansible / Puppet Experience in implementing and managing monitoring tools like Nagios, Prometheus, Grafana, Alertmanager etc. Experience in implementing and managing logging tools like ElasticSearch, Logstash, Fluent-bit, Kibana etc. Experience with Shell scripting, Python, Powershell etc. Experience in setting up production grade DevOps process for multiple environment setup (Dev, QA, UAT, Stage, Prod etc.) Experience in building CI/CD pipeline for a Micro Services based SaaS application. Experience in build tools like Ant / Maven / Gradle. Experience in binary Repository tools like Artifactory / Nexus. Experience and expertise in setting up code analysis tools like SonarQube / Checkstyle / PMD / Findbugs. Strong familiarity with any Linux operating system like Ubuntu / CentOS etc. Strong computer science fundamentals, and algorithms. Test Driven Development (TDD) mindset and orientation of 100% test automation. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Project description We are looking for a seasoned Performance Test Engineer to join our dynamic team. Your role will involve working closely with a group of talented software developers to create new APIs and ensure the smooth functioning of existing ones within the Azure environment. Responsibilities Understand the non-functional requirements (NFRs) from NFR documents, meeting with business and platform owners. Understand business and the infrastructure involved in the project. Understand the critical business scenarios from developers and the business. Prepare the Performance Test Strategy and Test Plan. Communicate with the business/development team manager regularly through daily/weekly reports. Develop the test scripts and workload modelling. Execute sanity tests, load test, soak test, stress test (as required by project). Organise the meeting with all the relevant teams (developers/infra etc.) to monitor core applications during the test execution. Execute the tests and analyse the test results. Prepare the test summary report. Skills Must have 6+ years of experience in performance engineering. Expert in Microfocus LoadRunner and Apache JMeter along with programming/ scripting experience in C/C++, Java, Perl, Python, SQL. Proven performance testing experience across multiple platform architectures and technologies such as micro-services, REST APIs is advantageous as is an exposure to project experience moving workloads to cloud environments including (AWS or Azure) Exposure to open source data visualisation tools. Experience in working with APM tools like AppDynamics. Nice to have Core Banking, Jira, Agile, Grafana Banking domain experience

**JIRA Data Center architecture*(multi-node clustering, shared databases, and file systems) **Linux systems administration** **Scripting*(Bash, Python, or Groovy) **Observability stack*(ELK, Prometheus, Grafana, etc.) **Cloud providers*(AWS, GCP, or Azure) if hosted on cloud infrastructure **PostgreSQL / Oracle* as JIRA backend DBs Familiarity with **Atlassian tools ecosystem* Confluence, Bitbucket, Crowd Technologies / OS Python Terraform Docker Linux Windows Network CI/CD Tools JIRA System ADMIN JIRA Functional ADMIN Github Github Actions Jenkins Sonarqube JFrog Artifactory Sonatype Nexus JFrog XRAY Kubernetes Soft Skills Communication Customer service Autonomy Problem-solving Adaptability Team Spirit Time Management

Automation of Infrastructure, CI/CD and transversal tools (Pre-Trade) to improve the reliability and performance of software systems. Building effective monitoring systems for production using Python scripting. Upgrading the applications and infrastructure to recent frameworks and technologies. Automation of configuration and deployment on Unix servers using Python. Obsolescence and Vulnerabilities Management Qualification - BE / B.Tech in Computer Science or Electronics Engineering with an excellent academic track record Min of 3 years experience and expertise in Python Programming: develop automation modules in Python. Experience in infrastructure automation or expertise in Dev Ops or similar role. Strong expertise in Unix systems: Unix Commands, Shell scripting and other Unix utilities. Monitoring automation expertise (Prometheous , Graffana, Kibana etc. ) Experience in building pipeline automation in different programming languages Experience in Jenkins, Git. Proactive approach in problem analysis and performance issues. Good collaboration and communication skills.

Help design, develop and maintain robust cloud native applications in an as a services model on Cloud platform Evaluate, implement and standardize new tools / solutions to continuously improve the Cloud Platform Leverage expertise to driving organization and departments technical vision in development teams Liaise with global and local stakeholders and influence technical roadmaps Passionately contributing towards hosting a thriving developer community Encourage contribution towards inner and open sourcing, leading by example Profile required - Experience and exposer to good programming practices including Coding and Testing standards - Passion and Experience in proactively investigating, evaluating and implementing new technical solutions with continuously improvement - Possess good development culture and familiarity to industry wide best practices - Production mindset with keen focus on reliability and quality - Passionate about being a part of distributed self-sufficient feature team with regular deliverables - Proactive learner and own skills about Scrum, Data, Automation - Strong technical ability to monitor, investigate, analyze and fix production issues. - Ability to ideate and collaborate through inner and open sourcing - Ability to Interact with client managers, developers, testers and cross functional teams like architects - Experience working in Agile Team and exposure to agile / SAFE development methodologies. - Minimum 5+ years of experience in software development and architecture. - Good experience of design and development including object-oriented programming in python, cloud native application development, APIs and micro-service - Good experience with relational databases like PostgreSQL and ability to build robust SQL queries - Knowledge of Grafana for data visualization and ability to build dashboard from various data sources - Experience in big technologies like Elastic search and FluentD - Experience in hosting applications using Containerization [Docker, Kubernetes] - Good understanding of CI/CD and DevOps and Proficient with tools like GIT, Jenkin, Sonar - Good system skills with linux OS and bash scripting - Understanding of the Cloud and cloud services

Exp - 5 to 8 yrs Location - Pune Role - Production Support Engineer 5 to 8 years of Experience in Production Support role for Java applications using DB2 Must have good SQL and UNIX knowledge Experience with trouble shooting the issues L2 level support by checking the Java log files and with application business knowledge Experience in handling Production Releases and Deployments Experience in using Helix or ServiceNow tool Ability to work in team good communication skills and client engagement skills Good exposure to monitoring tools like Azure Monitor App Insight Grafana

The Opportunity A DevOps role at FICO is an opportunity to work with cutting edge cloud technologies with a team focused on delivery of secure cloud solutions and products to enterprise customers. - VP, DevOps Engineering What Youll Contribute Design, implement, and maintain Kubernetes clusters in AWS environments. Develop and manage CI/CD pipelines using Tekton, ArgoCD, Flux or similar tools. Implement and maintain observability solutions (monitoring, logging, tracing) for Kubernetes-based applications. Collaborate with development teams to optimize application deployments and performance on Kubernetes. Automate infrastructure provisioning and configuration management using AWS services and tools. Ensure security and compliance in the cloud infrastructure. What Were Seeking Proficiency in Kubernetes administration and deployment, particularly in AWS (EKS). Experience with AWS services such as EC2, S3, IAM, ACM, Route 53, ECR. Experience with Tekton for building CI/CD pipelines. Strong understanding of observability tools like Prometheus, Grafana or similar. Scripting and automation skills (e.g., Bash, GitHub workflows). Knowledge of cloud platforms and container orchestration. Experience with infrastructure as code tools (Terraform, CloudFormation). Knowledge of Helm. Understanding of security best practices in cloud and Kubernetes environments. Proven experience in delivering microservices and Kubernetes-based systems.

Essential Skills/Basic Qualifications: 8+ year experienced DevOps professionals with in-depth Devops experience ( teamcity , nolio / jenkins , PowerShell scripting, Gitlab) and any add on tech Excellent experience in managing environments and DevOps tools. Knowledge and proven experience in one of the scripting languages (preferably PowerShell, Python, Bash). Knowledge and strong practical experience with CI/CD pipelines - Git, GitLab, deployment tools, Nexus, JIRA, TeamCity/Jenkins, Infrastructure-as-a-Code (Chef, or alternatives) Good knowledge of Unix systems and basic understanding of Windows servers Experience in troubleshooting Database issues. Knowledge of middleware tools like Solace, MQ Good collaboration skills Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Desirable skills/Preferred Qualifications: Good understanding of ITIL concepts (IPC, ServiceFirst) Experience with Ansible, other Configuration Management tools. Experience with Monitoring Observability solutions Elastic Search stack, Grafana, AppD. Experience with AWS or any other major Public Cloud service, as well as Private Cloud solutions, Big Data (Hadoop) Knowledge and practical experience with any database - MS SQL Server, Oracle, MongoDB, other DBMS. Strong muti-tasking and ability to re-prioritize activities, based on ever-changing external requirements. Stress resistance and ability to work and deliver results under pressure from the numerous parties. Creative thinking and problem solving, mindset oriented towards continuous improvement and delivering service of excellent quality. As a DevOps Engineer, responsibilities include: Work with technical leads and developers to understand applications architecture and business logic and contribute to deployment and integration strategies. Environment Management functions (building new environments refreshing existing ones). Providing operational stability for the key environments. Diagnosis and resolution of environment defects found during SIT and UAT test phases. Engineering DevOps Project Work, e.g., optimization of DevOps delivery (CI/CD). Contribute to the design of lightning-fast DevOps processes, including automated build, release, deployments, and monitoring, to reduce the overall time to market of various new and existing software components. Contributing to the delivery of complex projects in collaboration with global teams across Barclays, to develop new or enhance existing systems. Strong appreciation of development and DevOps best practices. Education Qualification Bachelors degree in Computer Science/Engineering or related field or equivalent professional qualification Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Cloud - Azure - Azure Bicep, ARM Templates, Powershell Development Tools and Management - Development Tools and Management - CI/CD Operating System - Operating System - Unix Database - Sql Server - SQL Packages Database - Oracle - Database Design Beh - Communication and collaboration

Dear Candidate, Greetings from Genworx.ai About Us Genworx.ai is a pioneering startup at the forefront of generative AI innovation, dedicated to transforming how enterprises harness artificial intelligence. We specialize in developing sophisticated AI agents and platforms that bridge the gap between cutting-edge AI technology and practical business applications. We have an opening for Principal DevOps Engineer position at Genworx.ai . please find below detailed Job Description for your understanding. Required Skills and Qualifications: Job Title: Principal DevOps Engineer Experience: 8+ years with atleast 5+ years in cloud automation Education: Bachelors or Masters degree in Computer Science, Engineering or a related field Work Location: Chennai Job Type: Full-Time Website: https://genworx.ai/ Key Responsibilities: Cloud Strategy and Automation Leadership: Architect and lead the implementation of cloud automation strategies with a primary focus on GCP. Integrate multi-cloud environments by leveraging AWS and/or Microsoft Azure as needed. Define best practices for Infrastructure as Code (IaC) and automation frameworks. Technical Architecture & DevOps Practice Design scalable, secure, and efficient CI/CD pipelines using industry-leading tools. Lead the development and maintenance of automated configuration management systems. Establish processes for continuous integration, delivery, and deployment of cloud-native applications. Develop solutions for cloud optimization and performance tuning Create reference architectures for DevOps solutions and best practices Establish standards for cloud architecture, versioning, and governance Lead cost optimization initiatives for cloud infrastructure using GenAI Security, Compliance, & Best Practices Enforce cloud security standards and best practices across all automation and deployment processes. Implement role-based access controls and ensure compliance with relevant regulatory standards. Continuously evaluate and enhance cloud infrastructure to mitigate risks and maintain high security Research & Innovation: Drive research into emerging GenAI technologies and techniques in cloud automation and DevOps. Lead proof-of-concept development for new AI capabilities Collaborate with research teams on model implementation and support Guide the implementation of novel AI architectures Leadership & Mentorship: Provide technical leadership and mentorship to teams in cloud automation, DevOps practices, and emerging AI technologies. Drive strategic decisions and foster an environment of innovation and continuous improvement. Act as a subject matter expert and liaison between technical teams, research teams, and business stakeholders Technical Expertise: Cloud Platforms: Deep GCP expertise with additional experience in AWS and/or Microsoft Azure. DevOps & Automation Tools: Proficiency in CI/CD tools (e.g., GitHub Actions, GitLab, Azure DevOps) and Infrastructure as Code (e.g., Terraform). Containerization & Orchestration: Experience with Docker, Kubernetes, and container orchestration frameworks. Scripting & Programming: Strong coding skills in Python, Shell scripting, or similar languages. Observability: Familiarity with tools like Splunk, Datadog, Prometheus, Grafana, and similar solutions. Security: In-depth understanding of cloud security, identity management, and compliance requirements. Interested candidates, kindly send your updated resume and a link to your portfolio to anandraj@genworx.ai . Thank you Regards, Anandraj B Lead Recruiter Mail ID: anandraj@genworx.ai Contact: 9656859037 Website: https://genworx.ai/

What This Job Entails: The software engineer designs, develops, troubleshoots, and debugs software programmes for enhancements and new products. They will also develop software and tools in support of design, infrastructure, and technology platforms. Scope: Resolves a wide range of issues in creative ways Seasoned, experienced professional with a full understanding of their specialty Works on problems of a diverse scope. Receives little instruction on day-to-day work and general instruction on new assignments Your Roles and Responsibilities: Provide administration, development, and application support for end users. Design, develop, code, test, and debug system software Design and implement software of embedded devices and systems from requirements to deployment Review code and design Configure and integrate third-party software components and technologies Perform root cause analysis of network, operating system, and other issues related to how technical solutions operate in customer environments Address and resolve escalated software bugs and bug reproduction requests; logging of all incidents and requests; engaging other service desk resources or appropriate service resources to resolve incidents that are beyond the scope of their ability or responsibility Provide limited after-hours and on-call support as needed Engage in review and development of test documentation Work with stakeholders and cross-functional teams on projects and initiatives Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position Required Qualifications/Skills: Bachelor's degree (B.S./B.A.) from four-college or university and 5 to 8 years related experience and/or training, or equivalent combination of education and experience. Networks with senior internal and external personnel in own area of expertise Demonstrates good judgment in selecting methods and techniques for obtaining solutions Experience working with various development programs Ability to quickly learn customer support processes, tools, and techniques Understanding of how to configure third-party software components and technologies Ability to perform root cause analysis of network, operating system, and other issues Excellent communication skills in English (both speaking and writing) Ability to collaborate and work remotely, including use of communication tools Ability to multitask and self-organise, including prioritization of activities Experience using monitoring systems Attention to detail Preferred Qualifications: Familiarity with system administration Physical Demand & Work Environment: Must have the ability to perform office-related tasks, which may include prolonged sitting or standing Must have the ability to move from place to place within an office environment Must be able to use a computer Must have the ability to communicate effectively. Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers

DevOps As a Lead DevOps / Site Reliability Engineer, you will be supporting production and development environments, from creating new and improving existing tools and processes to automating deployment and monitoring procedures, leading continuous integration effort, administering source control systems, deploying and maintaining production infrastructure and applications. What youll do day to day Design and implementation of monitoring strategies. Improving reliability, stability, and performance of production systems. Leading automation of engineering and operations processes. Systems administration and management of production, pre-production, and test environments. Design and optimization of CI/CD pipelines. Maintenance and administration of source control systems. On-call support of production systems. What you must have 7+ years of experience as an SRE, DevOps, or TechOps Engineer. 5+ years of tools development or automation using Python, Perl, Java, or Go . 3+ years of containerization and orchestration experience. Solid experience in managing production environments in a public cloud, AWS preferred. Proficiency in Linux system administration. Experience with monitoring and observability tools: Prometheus, Loki, Grafana. Experience with at least two of the following: Puppet, Salt, Ansible, Terraform. Experience in setting up and supporting CI/CD pipelines.

Essential Skills/Basic Qualifications: 6+ year experienced DevOps professionals with in-depth Devops experience ( teamcity , nolio / jenkins , PowerShell scripting, Gitlab) and any add on tech Excellent experience in managing environments and DevOps tools. Knowledge and proven experience in one of the scripting languages (preferably PowerShell, Python, Bash). Knowledge and strong practical experience with CI/CD pipelines - Git, GitLab , deployment tools, Nexus, JIRA, TeamCity/Jenkins, Infrastructure-as-a-Code ( Chef , or alternatives ) Good knowledge of Unix systems and basic understanding of Windows servers Experience in troubleshooting Database issues. Knowledge of middleware tools like Solace, MQ Good collaboration skills Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Desirable skills/Preferred Qualifications: Good understanding of ITIL concepts (IPC, ServiceFirst) Experience with Ansible, other Configuration Management tools. Experience with Monitoring Observability solutions Elastic Search stack, Grafana, AppD. Experience with AWS or any other major Public Cloud service, as well as Private Cloud solutions, Big Data (Hadoop) Knowledge and practical experience with any database - MS SQL Server, Oracle, MongoDB, other DBMS. Strong muti-tasking and ability to re-prioritize activities, based on ever-changing external requirements. Stress resistance and ability to work and deliver results under pressure from the numerous parties. Creative thinking and problem solving, mindset oriented towards continuous improvement and delivering service of excellent quality. As a DevOps Engineer, responsibilities include: Work with technical leads and developers to understand applications architecture and business logic and contribute to deployment and integration strategies. Environment Management functions (building new environments refreshing existing ones). Providing operational stability for the key environments. Diagnosis and resolution of environment defects found during SIT and UAT test phases. Engineering DevOps Project Work, e.g., optimization of DevOps delivery (CI/CD). Contribute to the design of lightning-fast DevOps processes, including automated build, release, deployments, and monitoring, to reduce the overall time to market of various new and existing software components. Contributing to the delivery of complex projects in collaboration with global teams across Barclays, to develop new or enhance existing systems. Strong appreciation of development and DevOps best practices. Education Qualification Bachelors degree in Computer Science/Engineering or related field or equivalent professional qualification Mandatory Competencies Development Tools and Management - Development Tools and Management - CI/CD DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins Cloud - Azure - Azure Bicep, ARM Templates, Powershell DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Programming Language - Python - Python Shell Database - Sql Server - SQL Packages Beh - Communication and collaboration Database - Oracle - Database Design

Performance Tester with experience in tools like JMeter, LoadRunner. Performance Tester with strong experience in Grafana, K6 Designing, executing, and analyzing performance tests to identify bottlenecks and optimize system performance. Strong skills in monitoring, troubleshooting, and reporting on system behavior under load are essential Mandatory Competencies Performance Tools - Performance Tools - Jmeter Beh - Communication DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Grafana QA/QE - QA Automation - Core Java QA/QE - QA Automation - Performance testing (Jmeter, Loadrunner, NeoLoad etc)

Job Title: OpenStack Engineer / Cloud Operations Engineer Experience: 3+ Years Location: Noida Employment Type: Full-time Job Responsibilities: Manage and support production-grade OpenStack environments (Nova, Neutron, Glance, Keystone, Cinder, Horizon, etc.) Handle day-to-day operations: provisioning, system upgrades, patching, incident response, and troubleshooting Automate tasks and workflows using Ansible , Terraform , Bash , or Python Ensure system observability using tools like Prometheus , Grafana , Zabbix , or ELK Stack Maintain high availability, backup, and disaster recovery strategies Collaborate with DevOps, platform engineering, and network/security teams for seamless cloud operations Maintain documentation, playbooks, and runbooks for operations and incident response Desired Skills: Strong knowledge of OpenStack Cloud Computing Experience in Linux administration and Shell Scripting Familiarity with CI/CD tools Hands-on knowledge of Monitoring Tools : Grafana , Prometheus , Zabbix , or ELK Stack Exposure to virtualization and infrastructure as code Value Adds: Strong analytical and problem-solving skills Good communication and team collaboration Key Skills: OpenStack , Linux , Shell Scripting , Ansible , Terraform , Bash , Python , CI/CD , Grafana , Prometheus , Zabbix , ELK Stack , Virtualization , Cloud Operations , Monitoring Tools Interested Candidates: Please share your updated resume along with the following details to Anurag.yadav@Softenger.com WhatsApp: 7385556898 Total Experience Relevant Experience Current CTC Expected CTC Notice Period Current Location Willing to Relocate to Noida

Essential Skills/Basic Qualifications: 6+ year experienced DevOps professionals with in-depth Devops experience (teamcity, nolio/ jenkins, PowerShell scripting, Gitlab) and any add on tech Excellent experience in managing environments and DevOps tools. Knowledge and proven experience in one of the scripting languages (preferably PowerShell, Python, Bash). Knowledge and strong practical experience with CI/CD pipelines - Git, GitLab, deployment tools, Nexus, JIRA, TeamCity/Jenkins, Infrastructure-as-a-Code (Chef, or alternatives) Good knowledge of Unix systems and basic understanding of Windows servers Experience in troubleshooting Database issues. Knowledge of middleware tools like Solace, MQ Good collaboration skills Excellent verbal and written communication skills. Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Desirable skills/Preferred Qualifications: Good understanding of ITIL concepts (IPC, ServiceFirst) Experience with Ansible, other Configuration Management tools. Experience with Monitoring / Observability solutions Elastic Search stack, Grafana, AppD. Experience with AWS or any other major Public Cloud service, as well as Private Cloud solutions, Big Data (Hadoop) Knowledge and practical experience with any database - MS SQL Server, Oracle, MongoDB, other DBMS. Strong muti-tasking and ability to re-prioritize activities, based on ever-changing external requirements. Stress resistance and ability to work and deliver results under pressure from the numerous parties. Creative thinking and problem solving, mindset oriented towards continuous improvement and delivering service of excellent quality. As a DevOps Engineer, responsibilities include: Work with technical leads and developers to understand applications architecture and business logic and contribute to deployment and integration strategies. Environment Management functions (building new environments / refreshing existing ones). Providing operational stability for the key environments. Diagnosis and resolution of environment defects found during SIT and UAT test phases. Engineering / DevOps / Project Work, e.g., optimization of DevOps delivery (CI/CD). Contribute to the design of lightning-fast DevOps processes, including automated build, release, deployments, and monitoring, to reduce the overall time to market of various new and existing software components. Contributing to the delivery of complex projects in collaboration with global teams across Barclays, to develop new or enhance existing systems. Strong appreciation of development and DevOps best practices. Education Qualification Bachelors degree in Computer Science/Engineering or related field or equivalent professional qualification Mandatory Competencies Development Tools and Management - Development Tools and Management - CI/CD DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins Cloud - Azure - Azure Bicep, ARM Templates, Powershell DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Programming Language - Python - Python Shell Database - Sql Server - SQL Packages Beh - Communication and collaboration Database - Oracle - Database Design

Location: NCR Team Type: Platform Operations Shift Model: 24x7 Rotational Coverage / On-call Support (L2/L3) Team Overview The OpenShift Container Platform (OCP) Operations Team is responsible for the continuous availability, health, and performance of OpenShift clusters that support mission-critical workloads. The team operates under a tiered structure (L2, L3) to manage day-to-day operations, incident management, automation, and lifecycle management of the container platform. This team is central to supporting stakeholders by ensuring the container orchestration layer is secure, resilient, scalable, and optimized. L2 OCP Support & Platform Engineering (Platform Analyst) Role Focus: Advanced Troubleshooting, Change Management, Automation Experience: 3–6 years Resources : 5 Key Responsibilities: Analyze and resolve platform issues related to workloads, PVCs, ingress, services, and image registries. Implement configuration changes via YAML/Helm/Kustomize. Maintain Operators, upgrade OpenShift clusters, and validate post-patching health. Work with CI/CD pipelines and DevOps teams for build & deploy troubleshooting. Manage and automate namespace provisioning, RBAC, NetworkPolicies. Maintain logs, monitoring, and alerting tools (Prometheus, EFK, Grafana). Participate in CR and patch planning cycles. L3 – OCP Platform Architect & Automation Lead (Platform SME) Role Focus: Architecture, Lifecycle Management, Platform Governance Experience: 6+ years Resources : 2 Key Responsibilities: Own lifecycle management: upgrades, patching, cluster DR, backup strategy. Automate platform operations via GitOps, Ansible, Terraform. Lead SEV1 issue resolution, post-mortems, and RCA reviews. Define compliance standards: RBAC, SCCs, Network Segmentation, CIS hardening. Integrate OCP with IDPs (ArgoCD, Vault, Harbor, GitLab). Drive platform observability and performance tuning initiatives. Mentor L1/L2 team members and lead operational best practices. Core Tools & Technology Stack Container Platform: OpenShift, Kubernetes CLI Tools: oc, kubectl, Helm, Kustomize Monitoring: Prometheus, Grafana, Thanos Logging: Fluentd, EFK Stack, Loki CI/CD: Jenkins, GitLab CI, ArgoCD, Tekton Automation: Ansible, Terraform Security: Vault, SCCs, RBAC, NetworkPolicies

Role & responsibilities Drive microservices architecture design and evolution, owning the roadmap (service boundaries, integration, tech choices) for scalability, and defining Kubernetes container sizing and resource allocation best practices. Deep expertise in microservices architecture, designing RESTful/event-driven services, defining boundaries, optimizing communication, with experience in refactoring/greenfield and cloud patterns (Saga, Circuit Breaker). Lead platform improvements, overseeing technical enhancements for AI-driven features like our AI Mapping Tool for smarter capabilities. Architect comprehensive observability, deploying metrics, tracing, logging tools (OpenTelemetry, Prometheus, Grafana, Loki, Tempo) for real-time monitoring and high uptime. Define container sizing and lead Kubernetes performance benchmarking, analyzing bottlenecks to guide resource tuning and scaling for platform growth. Provide deployment/infrastructure expertise, guiding Helm for Kubernetes and collaborating on infrastructure needs (Terraform a plus). Lead tooling/automation enhancements, streamlining deployment via Helm improvements, simpler YAML, and pre-deployment validation to reduce errors. Lead evolution to event-driven, distributed workflows, decoupling orchestrators with RabbitMQ and patterns like Saga/pub-sub, integrating Redis for state/caching, improving fault tolerance/scalability. Collaborate across teams and stakeholders for architectural alignment, translating requirements into design and partnering for seamless implementation. Mentor engineers on coding, design, and architecture best practices, leading reviews and fostering engineering excellence. Responsible for documenting architecture decisions (diagrams, ADRs), clearly communicating complex technical concepts for roadmap transparency. Preferred candidate profile Required 5+ years in software engineering, significant experience in designing distributed systems, and a proven track record of improving scalability/maintainability. Extensive production experience with Kubernetes and Docker, proficient in deploying, scaling, and managing apps on clusters, including cluster management on major cloud platforms. Proficient in deployment automation/config management, required Helm charts experience, familiar with CI/CD/GitOps, and Terraform/IaC exposure is a plus. Strong experience implementing observability via monitoring/logging frameworks (Prometheus, Grafana, ELK/Loki, tracing), able to instrument applications, and proven in optimizing distributed system performance. Hands-on with message brokers (RabbitMQ/Kafka) and distributed data stores like Redis, skilled in asynchronous system design and solution selection. Excellent technical communication and leadership, proven ability to lead architectural discussions/build consensus, comfortable driving projects and collaborating with Agile, cross-functional teams. Adept at technical documentation/diagrams, with an analytical mindset for evaluating new technologies and foreseeing design impacts on scalability, security, and maintainability.

Role & responsibilities Drive microservices architecture design and evolution, owning the roadmap (service boundaries, integration, tech choices) for scalability, and defining Kubernetes container sizing and resource allocation best practices. Deep expertise in microservices architecture, designing RESTful/event-driven services, defining boundaries, optimizing communication, with experience in refactoring/greenfield and cloud patterns (Saga, Circuit Breaker). Lead platform improvements, overseeing technical enhancements for AI-driven features like our AI Mapping Tool for smarter capabilities. Architect comprehensive observability, deploying metrics, tracing, logging tools (OpenTelemetry, Prometheus, Grafana, Loki, Tempo) for real-time monitoring and high uptime. Define container sizing and lead Kubernetes performance benchmarking, analyzing bottlenecks to guide resource tuning and scaling for platform growth. Provide deployment/infrastructure expertise, guiding Helm for Kubernetes and collaborating on infrastructure needs (Terraform a plus). Lead tooling/automation enhancements, streamlining deployment via Helm improvements, simpler YAML, and pre-deployment validation to reduce errors. Lead evolution to event-driven, distributed workflows, decoupling orchestrators with RabbitMQ and patterns like Saga/pub-sub, integrating Redis for state/caching, improving fault tolerance/scalability. Collaborate across teams and stakeholders for architectural alignment, translating requirements into design and partnering for seamless implementation. Mentor engineers on coding, design, and architecture best practices, leading reviews and fostering engineering excellence. Responsible for documenting architecture decisions (diagrams, ADRs), clearly communicating complex technical concepts for roadmap transparency. Preferred candidate profile Required 5+ years in software engineering, significant experience in designing distributed systems, and a proven track record of improving scalability/maintainability. Extensive production experience with Kubernetes and Docker, proficient in deploying, scaling, and managing apps on clusters, including cluster management on major cloud platforms. Proficient in deployment automation/config management, required Helm charts experience, familiar with CI/CD/GitOps, and Terraform/IaC exposure is a plus. Strong experience implementing observability via monitoring/logging frameworks (Prometheus, Grafana, ELK/Loki, tracing), able to instrument applications, and proven in optimizing distributed system performance. Hands-on with message brokers (RabbitMQ/Kafka) and distributed data stores like Redis, skilled in asynchronous system design and solution selection. Excellent technical communication and leadership, proven ability to lead architectural discussions/build consensus, comfortable driving projects and collaborating with Agile, cross-functional teams. Adept at technical documentation/diagrams, with an analytical mindset for evaluating new technologies and foreseeing design impacts on scalability, security, and maintainability.