899 Grafana Jobs - Page 3

About The Role : Job Title:ELK & Grafana Architect Design, implement, and optimize ELK solutions to meet data analytics and search requirements. Collaborate with development and operations teams to enhance logging capabilities. Implement and configure components of the Elastic Stack, including Filebeat, Metricbeat, Winlogbeat, Logstash, and Kibana. Create and maintain comprehensive documentation for Elastic Stack configurations and processes. Ensure seamless integration between various Elastic Stack components. Develop and maintain advanced Kibana dashboards and visualizations. Design and implement solutions for centralized logs, infrastructure health metrics, and distributed tracing for different applications. Implement Grafana for visualization and monitoring, including Prometheus and Loki for metrics and logs management. Build detailed technical designs related to monitoring as part of complex projects. Ensure engagement with customers and deliver business value. Requirements: 6+ years of experience as an ELK Architect/Elastic Search Architect. Hands-on experience with Prometheus, Loki, OpenTelemetry, and Azure Monitor. Experience with data pipelines and redirecting Prometheus metrics. Proficiency in scripting and programming languages such as Python, Ansible, and Bash. Familiarity with CI/CD deployment pipelines (Ansible, GIT). Strong knowledge of performance monitoring, metrics, capacity planning, and management. Excellent communication skills with the ability to articulate technical details to different audiences. Experience with application onboarding, capturing requirements, understanding data sources, and architecture diagrams. Experience with OpenTelemetry monitoring and logging solutions. 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc

Role & responsibilities The position We are seeking a highly skilled and motivated individual to join our team as Lead - Monitoring. As the Lead Monitoring, you will play a crucial role in overseeing and optimizing our systems and networks. Your responsibilities will include monitoring the performance metrics of our IT infrastructure. Additionally, you will lead troubleshooting efforts, identify and resolve system issues, and implement proactive measures to minimize downtime and disruptions. This role requires a keen eye for detail, strong analytical skills, and the ability to collaborate effectively with technical teams to implement solutions and improve overall system performance. Roles and Responsibilities Monitor System Performance: Oversee the monitoring of system performance metrics, including uptime, response times, and resource utilization, using monitoring tools such as Nagios, Microsoft SCOM, Site24X7, and other third-party tools, to ensure optimal performance and availability. Troubleshooting and Issue Resolution: Lead the identification, troubleshooting, and resolution of system issues, working closely with technical teams to implement solutions and minimize downtime. Capacity Planning: Develop and implement capacity planning strategies to forecast future resource needs and optimize system scalability and performance. Incident Response: Develop and maintain incident response protocols and procedures, including escalation paths and response timelines, to address system outages and critical incidents promptly. Monitoring Tools Management: Evaluate, select, and manage monitoring tools and technologies to support efficient and effective monitoring of systems, networks, and applications. Performance Analysis: Conduct performance analysis and trend analysis to identify potential bottlenecks, areas for improvement, and optimization opportunities. Cloud Monitoring: Implement and manage cloud monitoring solutions for platforms such as Azure and AWS, ensuring visibility into cloud-based resources, performance metrics, and cost optimization strategies. Monitor cloud infrastructure, services, and applications to identify and resolve issues proactively. Synthetic Monitoring: Design and implement synthetic monitoring solutions to simulate user interactions and transactions across applications, websites, and services. Analyze synthetic monitoring data to identify performance bottlenecks and optimize user experience. Documentation and Reporting: Maintain accurate documentation of monitoring processes, configurations, and incident reports. Generate regular reports on system performance, uptime, and incident resolution metrics. KPIs and Dashboards: Develop and publish key performance indicators (KPIs), dashboards, and other reporting mechanisms to provide insights into system performance, trends, and areas for improvement. Present findings and recommendations to stakeholders and management. Team Leadership: Provide leadership and guidance to monitoring team members, fostering a culture of collaboration, continuous improvement, and excellence in monitoring practices. Skills Bachelor's degree in Computer Science, Information Technology, or a related field. (Master's degree preferred) Proven experience (5+ years) in system monitoring, performance analysis, and incident response, preferably in a lead or supervisory role. Strong technical expertise in monitoring tools such as Nagios, Microsoft SCOM, Site24X7, and other third-party tools. Solid understanding of network protocols, server infrastructure, and cloud environments (e.g., AWS, Azure), with experience in cloud monitoring, synthetic monitoring, and optimization. Experience with scripting languages (e.g., Python, PowerShell) for automation and monitoring tasks. Excellent analytical, problem-solving, and decision-making skills. Strong leadership, communication, and team collaboration abilities. Experience in publishing KPIs, dashboards, and other reporting mechanisms. Good to have : Relevant certifications such as ITIL Foundation, Certified Monitoring Professional (CMP), Microsoft Certified: Azure Administrator Associate, and Microsoft Certified: SCOM (if available) are a plus Interested candidates please apply on the given link https://apply.workable.com/ezrecruiting/j/1217C832C7/

Job description Gather non-functional requirements documents based on client SME inputs, reviewing demos of existing systems Accountable for creating application and infrastructure performance plans/models for a highly scalable, low-latency, highly-available and high-throughput system. Should have experience in defining Performance Strategy and reporting performance baselines required to certify Go-Lives. Should have strong experience in handling multiple tasks and stakeholders Consolidate inputs from project teams, estimate effort using estimation methodologies and prepare test strategy documents based on requirements, testing environment and non-functional attributes Develop or validate test design consisting of scenarios, types of testing and number of cycles of testing required for the test module Understand and performance test the APIs, abstractions and integration patterns to solve challenging distributed computing problems. Should be well versed in documenting the steps performed during course of performance tests cycle including performance test scripts used Should be able to provide mentor support emphasizing performance testing methodology, preparation, scripting, execution planning, simulation and test results reporting. Review complex test case scenarios and develop performance test scripts Ensure that the test environment is set up in collaboration with the client teams, validate test data for different modules, identify risks in data setup, ensure backup and restore process. Review infrastructure of Performance Test environment and ensure timely maintenance of Infrastructure for Performance tests. Design test scenario and execute performance tests, validate results of test executed by team, analyze test results and identify performance bottlenecks Manage onsite and offshore communications Co-ordinate with other support teams like Infrastructure, Database Admin, Network teams to complete the tests successfully. Skills /Competencies: 5-8 years of experience in Performance Testing Life Cycle activities Proficient in NFR analysis, breaking requirements into test scenarios Must-have hands-on experience with scripting and execution using JMeter, LoadRunner, AppDynamics, Dynatrace and Splunk tools using different protocols like Http/Html, Web Services, Ajax Truclient, MQ Protocol, SAP, JAVA etc. Must have exposure on: AWS, KAFKA, MQ Able to write Basic DB queries Knows basic Unix commands

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. At least 3 years of experience in Java/J2EE, REST API, RDBMS At least 2 years of work experience in ReactJs. Ready for Individual contributor role and have done something similar in last 6 months. Fair understanding of Microservices, Cloud (Azure preferred) Practical knowledge of Object-Oriented Programming concepts and design patterns. Experience in implementation of Microservices, Service-oriented-architecture and multi-tier application platforms Good knowledge of JPA and SQL (preferable Oracle SQL) Experience working with RESTful Web Services Hands-on experience in tracing applications in distributed/microservices environment with usage of modern tools (Grafana, Prometheus, Splunk, Zipkin, Elasticsearch, Kibana, Logstash or similar) Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: .NET.

Proficient in Node.js , Next.js, React.js, and JavaScript Strong backend development skills using Fastify (or equivalent Node.js frameworks). Design and develop intuitive and responsive UI components using React and Chakra UI(or equivalent react UI library). Develop and maintain unit tests with Jest . Familiarity with CI/CD pipelines, containerization (e.g., Docker), and general Dev ops workflows. Exposure in GCP , Grafana (or other data monitoring- visualization-analysis tool). Node.Js, Fastify, Ci/Cd, Docker, Gcp, Grafana, Containerization, Jest, Next.Js

As a Principal Technical Specialist, you will design, develop, implement software solutions, working with technologies such as Spring Boot, MongoDB, RabbitMQ, and Kafka. You will troubleshoot and debug existing applications, optimize performance, and collaborate with cross-functional teams to deliver high-quality solutions in IoT, Telecom, or WiFi domains. You have: Graduate or Postgraduate in Engineering stream with 12+ years of experience in high-end Java-based applications in a cloud environment. Expertise in coding with Java 8, Spring Boot, and its advanced features. Hands-on experience with MongoDB or NoSQL databases. Proficiency with Docker, Kubernetes, and cloud environments such as RHEL and OpenShift. Expertise in troubleshooting JVM issues and optimizing performance at the application level. Experience with tools like Hazelcast, Eureka, Grafana, Prometheus, and Minio for scalability and monitoring. Experience in designing and modeling application performance and scalability, particularly in distributed systems. Familiarity with emergency case handling and swift problem restoration within the SW Care process. It would be nice if you also had: Understanding of cloud-native application design principles, microservices, and service orchestration. Knowledge of Agile practices to foster collaboration and continuous integration. Design and implement software solutions, enhancing knowledge of Spring Boot, Java 8 features, and NoSQL databases like MongoDB. Improve expertise in messaging queues and distributed systems, including RabbitMQ, Kafka, and VerneMQ. Optimize application performance and scalability through troubleshooting and performance modeling. Learn advanced troubleshooting techniques for JVM, Docker, Kubernetes, and cloud environments such as RHEL/OpenShift. Work with a variety of tools, such as Hazelcast, Eureka, Grafana, and Prometheus, gaining insights into monitoring and cloud infrastructure. Collaborate with developers, product owners, and QA teams to improve communication and teamwork skills. Enhance the ability to solve complex problems by applying analytical thinking and judgment in a production environment. Stay up-to-date with emerging software trends and technologies to continuously innovate and improve solutions.

We are seeking a highly skilled Devops Engineer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining both frontend and backend components of our applications using Devops and associated technologies. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performing software solutions that meet our business needs. The ideal candidate will have a strong background in devops, experience with modern frontend frameworks, and a passion for full-stack development. Requirements : Bachelor's degree in Computer Science Engineering, or a related field. 6 to 10+ years of experience in full-stack development, with a strong focus on DevOps. DevOps with AWS Data Engineer - Roles & Responsibilities: Use AWS services like EC2, VPC, S3, IAM, RDS, and Route 53. Automate infrastructure using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation . Build and maintain CI/CD pipelines using tools AWS CodePipeline, Jenkins,GitLab CI/CD. Cross-Functional Collaboration Automate build, test, and deployment processes for Java applications. Use Ansible , Chef , or AWS Systems Manager for managing configurations across environments. Containerize Java apps using Docker . Deploy and manage containers using Amazon ECS , EKS (Kubernetes) , or Fargate . Monitoring & Logging using Amazon CloudWatch,Prometheus + Grafana,E Stack (Elasticsearch, Logstash, Kibana),AWS X-Ray for distributed tracing manage access with IAM roles/policies . Use AWS Secrets Manager / Parameter Store for managing credentials. Enforce security best practices , encryption, and audits. Automate backups for databases and services using AWS Backup , RDS Snapshots , and S3 lifecycle rules . Implement Disaster Recovery (DR) strategies. Work closely with development teams to integrate DevOps practices. Document pipelines, architecture, and troubleshooting runbooks. Monitor and optimize AWS resource usage. Use AWS Cost Explorer , Budgets , and Savings Plans . Must-Have Skills: Experience working on Linux-based infrastructure. Excellent understanding of Ruby, Python, Perl, and Java . Configuration and managing databases such as MySQL, Mongo. Excellent troubleshooting. Selecting and deploying appropriate CI/CD tools Working knowledge of various tools, open-source technologies, and cloud services. Awareness of critical concepts in DevOps and Agile principles. Managing stakeholders and external interfaces. Setting up tools and required infrastructure. Defining and setting development, testing, release, update, and support processes for DevOps operation. Have the technical skills to review, verify, and validate the software code developed in the project. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

The Site Reliability Engineer is a critical role in Cloud based projects. An SRE works with the development squads to build platform & infrastructure management/provisioning automation and service monitoring using the same methods used in software development to support application development. SREs create a bridge between development and operations by applying a software engineering mindset to system administration topics. They split their time between operations/on-call duties and developing systems and software that help increase site reliability and performance Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 12+ yrs experience required. Have good exposure to Operational aspects (Monitoring, Automation, Remediations) - Monitoring tools exposure like New Relic, Prometheus, ELK, Distributed tracing, APM, App Dynamics, etc. Troubleshooting and documenting Root cause analysis and automate the incident Understands the Architecture, SRE mindset, Understands data model Platform Architecture and Engineering - Ability to design, architect a Cloud platform that can meet Client SLAs /NFRs such as Availability, system performance etc. SRE will define the environment provisions framework, identify potential performance bottlenecks and design a cloud platform Preferred technical and professional experience Effectively communicate with business and technical team members. Creative problem solving skills and superb communication Skill. Telecom domain experience is an added plus

IBM is seeking an experienced software engineer with competencies in Full Stack development . You will build, deploy, and maintain cloud microservice applications and tools that interact with the CIO's asset management systems in order to streamline our asset management processes and deliver exceptional user experience. Responsibilities:: * Front-end technologyExpertise in front-end technologies, including JavaScript, CSS3 and HTML5. Transform UX design prototypes into HTML/CSS web designs and implement with the appropriate front end programming language (Vue.js/React.js). * Develop, deploy, monitor and maintain backend micro-services in Java utilizing Spring framework on RedHat Openshift using the 12 factor application development methodology. * Develop, deploy, monitor and maintain front-end micro-services in Vue.js framework on RedHat Openshift using the 12 factor application development methodology. * Assist in design and architecture decisions for the systems and their interaction via APIs with other systems. * Configure and manage the security and observeability of deployed applications using various log analytics and application performance monitoring (APM) tools, including but not limited to LogDNA, Instana, Dynatrace, Grafana, and Splunk. * Build and maintain the necessary DevSecOps pipelines to implement Continuous Integration and Continuous Delivery. Familiarity with Maven, TravisCI, Selenium, GitOps, SAST, DAST and other DevSecOps tools is highly desirable. * Work in a global collaborative team environment. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong hands-on coding skills with a focus on full-stack web application development. JavaScript experience Required. A creative and precise problem solver. Familiar with cloud-native application development. Familiar with application performance concepts. Bachelor’s degree in computer science or computer engineering. English language fully required (advanced level).

Review and implement functional business requirements and non-functional technical requirements Translate business requirements into technical design documents and drive implementation with developers Research and analyze new technologies to be used (e.g., Libraries, IDE’s, tools) Develop high-level architecture and detailed design for application stack – backend Assist engineering and operational teams in debugging critical production problems Perform application code review, ensure creation and maintenance of appropriate artifacts for architecture and design work Develop back-end portions of web services. You will primarily focus on building backend REST API services. Work to implement server-side or application logic and design architectures. Create and talk to REST services. Shift between multiple projects and technologies. Write clean code and test it throughout the development process to ensure the quality is up to standards. Work on software that is used by millions of people all around the world is a challenge that you're willing to tackle. Perform peer reviews and mentor the team to evolve into backend developers. Encourage a self-motivated squad model of working from handling design, development, test and operations for the micro services. Required education Bachelor's Degree Required technical and professional expertise Kubernetes: Deep knowledge of Kubernetes architecture, pods, deployments, services, and persistent volumes. Storage Classes & Volumes: How Kubernetes manages persistent storage and snapshots. Networking Basics: Understanding Kubernetes networking Container Storage Interface (CSI): Familiarity with how storage plugins work in Kubernetes. CI/CD Pipelines: Integrating backup/restore into automation pipelines using Jenkins , GitHub action , travis etc. Scripting: Proficiency in Bash , Python , or Go for writing automation scripts. Disaster Recovery: Designing and implementing DR solutions for containerized environments. Data Replication: Understanding of synchronous and asynchronous replication techniques. Access Control: Implementing RBAC (Role-Based Access Control) in Kubernetes. Good to have: Compliance Knowledge: GDPR, HIPAA, or other data protection regulations relevant to backup data. Monitoring & Logging: Using tools like Prometheus , Grafana , ICD to monitor backup jobs and system health. Backup Tools: Experience with tools like Velero , Kasten K10 , Rsync , Restic , or Portworx for Kubernetes. Should have 5+ experience on Back end services development and Microservices Architecture. Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Go Lang, C, C++, Python etc., Proven experience in REST API development experience (APIs like REST / RESTful APIs). Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts Proven proficiency in grasping requirements and building illustrative features with minimal specifications Experience working in agile development environments. Preferred technical and professional experience Understanding of Networking concepts and experience in Network development. Understanding of cloud storage concepts and experience in cloud storage development. Knowledge of security and compliance standards & requirements

At IBM, we are driven to shift our technology to an as-a-service model and to help our clients transform themselves to take full advantage of the cloud. With industry leadership in AI, analytics, security, commerce, and quantum computing and with unmatched hardware and software design and industrial research capabilities, no other company is as well positioned to address the full opportunity of enterprise cloud computing. We are looking for a backend developer to join our IBM Cloud VPC Observability team. This team is part of IBM Cloud VPC Service dedicated to ensuring that the IBM Cloud is at the forefront of reliable enterprise cloud technology. We are building Observability platforms to deliver performance, reliability and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. In this role, you will be responsible for producing and enhancing features that collect, transform, and surface data on the various components of our cloud. The ability to take in requirements on an agile basis and be able to work autonomously with high level perspective is a must. You understand cloud native concepts and have experience with highly tunable and scalable Kubernetes based cloud deployments. You will participate in the design of the service, writing tools and automation, building containers, developing tests, determining monitoring best practices and handling complex escalations. If you are the kind of person who is collaborative, able to handle responsibility and enjoys not only sharing a vision but getting your hands dirty to be sure that the vision is made a reality in a fast-paced, challenging environment, then we want to talk to you! Required education Bachelor's Degree Required technical and professional expertise Bachelor's in Engineering, Computer Science, or relevant experience 2+ years experience and expertise in programming atleast in one language Python/Go/Node.js 1+ years experience in developing and deploying applications on Kubernetes and containerization technologies like Docker 2+ years familiarity with working in a CICD environment 2+ years experience with developing and operating highly available, distributed applications in production environments on Kubernetes Experience with building automated tests, handling customer escalations, 1+ years experiencewith managing service dependencies via Terraform or Ansible At least 2 years of experience coding and troubleshooting applications written in Go, Python, Node.js, Express.js. 1+ years experience in operating with secure principles At least 3 years of experience with micro-service development At least 1 years' experience with no-sql database systems such as MongoDB At least 1 years' experience with operating, configuring, and developing with caching systems like redis Proven understanding of REST principles and architecture Familiarity with working with Cloud services (IBM Cloud, GCP, AWS, Azure) Preferred technical and professional experience Advanced Experience with Kubernetes Experience with development on PostgreSQL, Kafka, Elastic, MySQL, Redis, or MongoDB 2 years experience with managing Linux machines using Configuration management (eg, Chef, Puppet, Ansible). Debian experience is preferred 2+ years experience with ability to automate using scripting languages like Python, Shell Experience with troubleshooting, using and configuring Linux systems 2+ years experience with infrastructure automation 2+ years experience with using monitoring tooling like Grafana, Prometheus

We are looking forSoftware Developerwith container platform and systems-level experience to join ourFabric Development team inIndia, Bangalore We seek individuals who innovate & share our passion for winning in the cloud marketplace. The Fabric Development team is a team dedicated to ensuring that the IBM Cloud is at the forefront of cloud technology, from bootstrapping data centres, to application architecture, to flexible infrastructure services. We are running IBM's next generation cloud platform to deliver performance and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. It is an exciting time, and as a team we are driven by this incredible opportunity to thrill our clients. Design and developing innovative, company and industry impacting services using open source and commercial technologies at scale Designing and architecting enterprise solutions to complex problems Presenting technical solutions and designs to engineering team Following compliant procedures and secure engineering best practices Collaboration and review of technical designs with architecture and offering management Taking ownership and keen involvement in projects that vary in size and scope depending on requirements. Writing and executing unit, functional, and integration test cases Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience as a SW Developer, with a focus on Python and Ansible. 3+ years of experience in Ansible for automation and configuration management. Strong Python programming skills for scripting and automation tasks. 3+ years In-depth knowledge of networking protocols and security principles. Experience with security tools and best practices. 3+ years experience with CI/CD pipelines and Ansible CI/CD practices. 3+ years of experience with Kuberneters, Docker deployments Familiarity with Agile development methodologies. Experience with cloud platforms Excellent problem-solving skills and attention to detail. Strong communication and team collaboration skills. Demonstrated skills with troubleshooting, debugging and maintaining code Preferred technical and professional experience Familiarity with CI/CD pipelines.Experience with version control systems (e.g., Git). Experience with Ansible Collections and writing custom Ansible modules. Experience with monitoring and logging tools for load balancers (Prometheus, Grafana, ELK Stack). An understanding and hands on experience with networking methodologies

Responsibilities: * Design, implement & maintain monitoring solutions using Nagios, SolarWinds & Zabbix. * Develop Python scripts for automation & alerting integration with Grafana.

Description - External You Lead the Way. We've Got Your Back.With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.Join #TeamAmex and let's lead the way together. Key Responsibilities: SRE Strategy and Leadership: Develop and implement a comprehensive SRE strategy aligned with the company's goals and objectives. Lead a team of SRE professionals to drive the reliability, performance, and scalability of GRC technology solutions. Observability and Monitoring: Establish observability practices to ensure real-time insights into system performance, availability, and customer experience. Implement monitoring tools, metrics, and dashboards to proactively identify and address potential issues. Production Support Optimization: Lead all aspects of the end-to-end production support process, including incident management, problem resolution, and service-level agreement (SLA) compliance. Drive continuous improvement initiatives to enhance operational effectiveness and reduce mean time to resolution (MTTR). GRC Customer Journeys: Collaborate with multi-functional teams to enhance customer journeys through seamless and reliable technology experiences. Reliability Engineering Best Practices: Promote and implement standard methodologies, including error budgeting, chaos engineering, and disaster recovery planning. Cultivate a culture of resilience and reliability within technology. Automation and Efficiency: Champion automation initiatives to streamline operational workflows, deployment processes, and incident response tasks. Leverage automation tools and orchestration to improve reliability and reduce manual intervention. Qualifications: 3- 12 years of experience and degree or equivalent experience in Computer Science, Information Technology, or related field. Advanced certifications in SRE or related are a plus. Deep understanding of observability tools and methodologies, including experience with logging, monitoring, tracing, and performance analysis platforms. Strong leadership and people management skills, with the ability to inspire and empower successful SRE teams. Preferred Skills: Hands-on coding and System Design of highly available distributed systems Java/Golang/Javascript, Kubernetes, Docker Knowledge on modern observability stack – splunk, elastic search, Prometheus, Grafana Knowledge of cloud-based SRE practices and experience with public cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies (e.g., Kubernetes, Docker) and microservices architecture. Demonstrated expertise in driving culture change, DevOps practices, and continuous improvement in SRE and production support functions. Join our innovative team and be at the forefront of advancing Site Reliability Engineering and production support in the Global Risk and Compliance Technology space. If you are passionate about driving reliability, observability, and excellence in customer experiences, we invite you to apply and join our mission to redefine the future of risk and compliance technology. Apply now and join us in shaping the reliability and performance of GRC solutions for a secure and compliant world. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Install Configure the Red Hat Centos, Ubuntu above operating system Create, change and delete user accounts as per request from Thomas Cook. Manage Maintain the Apache, postfix, kickstart, Grafana Nagios. Apply OS patches and upgrades on a regular basis, and configure new services as necessary. Bash scripts must have sound knowledge. Having a knowledge of Foreman and Manage Engine for patching the servers. Maintain operational, configuration and other procedures Perform periodic performance reporting to support capacity planning. Perform ongoing performance tuning, hardware upgrades, and resources optimization as required. Configure CPU, memory and disk partitions as required. Maintain datacentre infrastructure as per security policy applying access control matrix on all servers. Should have ability of solving complex problem of servers. 24*7 support in emergency situation. Maintain the change management process. Maintain the inventory of all O/S DB licenses. Implement and Manage the Automation tool i.e Ansible Need to maintain an SOP. Hardening documents will be followed and implement on all servers. Mitigate the VAPT points. Managing License of Linux servers. New recommendation and Suggestion for security enhancement of Linus servers Automate system tasks using shell scripting. Restoration of Backup of all Critical servers. System Configuration Documentation outlining the architecture, configurations, and settings of Linux systems and services. Incident Reports for any significant incidents or outages, including root cause analysis and remediation actions. Maintain, Track and publish dashboard of backup of all critical servers with the help of L1 resources

Key Skill Areas: Linux System Administration: Deep understanding of OS internals, performance tuning, system hardening, and automation. Automation using Ansible: Writing and maintaining playbooks for infrastructure provisioning, app deployments, and configuration management. Containerization: Proficiency with Docker and/or Podman, including building, securing, and troubleshooting container images. Kubernetes (K8s): Real-world experience deploying, managing, and troubleshooting Kubernetes workloads. Familiarity with managed K8s services (e.g., EKS, AKS, GKE) is a plus. Infrastructure Monitoring & Observability: Practical exposure to Prometheus, Grafana, ELK/Graylog, and alerting mechanisms. Migration Experience: Understanding of rehosting/refactoring legacy workloads from VMs to Kubernetes-native deployments. Provide 24x7 support for critical production systems and should be open for rotational shifts Note- The drive timings are from 10 am to 12 pm, anybody coming after 12 pm will not be allowed to attend the interview. Also do not carry your personal laptop, candidates with backgrounds in Mechanical, Civil, or Instrumentation are not eligible for the interview.

Responsibilities As our Senior Quality Assurance Engineer, you embrace the following responsibilities: Take ownership and responsibility for the design and development of all aspects of testing. Work on acceptance criteria and test scenarios with the Product Owner and development team. Design, execute, and maintain test scenarios (manual & automated) and automation capabilities for all test levels and types (e.g., automated, regression, exploratory, etc.). Create and optimize test frameworks and integrate them into deployment pipelines. Participate in the code review process for both production and test code to ensure all critical cases are covered. Work on continuous testing processes from an agile perspective: align with stakeholders what testing activity is required on a per-ticket basis. Technical and Professional Requirements: As a Senior Quality Assurance Engineer, you must be able to provide among these: Knowledge of software testing theory. Comfortable in developing test automation frameworks from scratch and maintaining existing frameworks. 7+ years of experience in manual software testing 6+ years of experience in software testing automation Strong experience in different testing practices (from unit to load to endurance to cross-platform) specifically integrated within CI/CD. Experience working with CI/CD pipelines and monitoring tools (e.g. Jenkins, TeamCity, Kibana, Grafana, etc.). Knowledge with Bitbucket, K8s, Docker Knowledge of Web application testing, API testing, REST protocol and microservice architecture concepts. Strong experience in Java, and its test-related frameworks, and other test frameworks (e.g. Junit, Rest-assured, Cypress, Selenium), as well as its usage under a CI/CD pipeline. Experience using Postman for API-related tests. Preferred Skills: Technology->Automated Testing->Automated Testing - ALL->API Testing Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering * Location of posting is subject to business requirements

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And were only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that youre more than your work. Thats why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If youre passionate about our purpose people then we cant wait to support whatever gives you purpose. Were united by purpose, inspired by you. Site Reliability Engineers at UKG are team members that have a breadth of knowledge encompassing all aspects of service delivery. They develop software solutions to enhance, harden and support our service delivery processes. This can include building and managing CI/CD deployment pipelines, automated testing, capacity planning, performance analysis, monitoring, alerting, chaos engineering and auto remediation. Site Reliability Engineers must have a passion for learning and evolving with current technology trends. They strive to innovate and are relentless in their pursuit of a flawless customer experience. They have an automate everything mindset, helping us bring value to our customers by deploying services with incredible speed, consistency and availability. Primary/Essential Duties and Key Responsibilities: Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure. Engage in and improve the lifecycle of services from conception to EOL, includingsystem design consulting, and capacity planning Define and implement standards and best practices related toSystem Architecture, Service delivery, metrics and the automation of operational tasks Support services, product & engineering teams by providing common tooling and frameworks to deliver increased availability and improved incident response. Improve system performance, application delivery and efficiency through automation, process refinement, postmortem reviews, and in-depth configuration analysis Collaborate closely with engineering professionals within the organization to deliver reliable services Identify and eliminate operational toil by treating operational challenges as a software engineering problem Actively participate in incident response, including on-call responsibilities Partner with stakeholders to influence and help drive the best possible technical and business outcomes Guide junior team members and serve as a champion for Site Reliability Engineering Engineering degree, or a related technical discipline, and 10+years of experience in SRE. Experience coding in higher-level languages (e.g., Python, Javascript, C++, or Java) Knowledge of Cloud based applications & Containerization Technologies Demonstrated understanding of best practices in metric generation and collection, log aggregation pipelines, time-series databases, and distributed tracing Ability to analyze current technology utilized and engineering practices within the company and develop steps and processes to improve and expand upon them Working experience with industry standards like Terraform, Ansible. (Experience, Education, Certification, License and Training) Must have hands-on experience working within Engineering or Cloud. Experience with public cloud platforms (e.g. GCP, AWS, Azure) Experience in configuration and maintenance of applications & systems infrastructure. Experience with distributed system design and architecture Experience building and managing CI/CD Pipelines Where were going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet its our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

The duties of a Site Reliability Engineer will be to support and maintain various Cloud Infrastructure Technology Tools in our hosted production/DR environments. He/she will be the subject matter expert for specific tool(s) or monitoring solution(s). Will be responsible for testing, verifying and implementing upgrades, patches and implementations. He/She will also partner with the other service and/or service functions to investigate and/or improve monitoring solutions. May mentor one or more tools team members or provide training to other cross functional teams as required. May motivate, develop, and manage performance of individuals and teams while on shift. May be assigned to produces regular and adhoc management reports in a timely manner. Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure. Bachelors Degree in information systems or Computer Science or related discipline with relevant experience of 5-8 years Proficient in Splunk/ELK, and Datadog. Experience with Enterprise Software Implementations for Large Scale Organizations Exhibit extensive experience about the new technology trends prevalent in the market like SaaS, Cloud, Hosting Services and Application Management Service Monitoring tools like : Grafana, Prometheus, Datadog, Experience in deployment of application & infrastructure clusters within a Public Cloud environment utilizing a Cloud Management Platform Professional and positive with outstanding customer-facing practices Can-do attitude, willing to go the extra mile Consistently follows-up and follows-through on delegated tasks and actions

Develop implement DevOps practices across cloud on-premises Lead mentor DevOps team, collaborate with cross-functional teams Oversee IaC, manage hybrid infrastructure, design implement CI/CD pipelines Set up monitoring, troubleshoot issues, ensure security compliance Act as liaison between development operations Bachelor's degree in CS/Engg, 10+ yrs DevOps exp Cloud (AWS, Azure), IaC (Ansible, CloudFormation), CI/CD (Jenkins, GitLab), containers (Docker, Kubernetes), scripting (Python, Bash), monitoring (Dynatrace, Grafana), strong problem-solving, leadership, communication skills Security compliance (SOC2, ISO 27001), cloud certifications

Role & responsibilities The mandatory skills we require include: Application-Specific Troubleshooting: Demonstrated experience in effectively diagnosing and resolving application-related issues. Coding Proficiency: Strong coding skills in at least one programming language, such as Python, Java, Groovy, or Shell Scripting. Virtual Machine and Network Troubleshooting: Good exposure to working with virtual machines and troubleshooting network-related issues. Database Experience: Hands-on experience with databases, particularly PostgreSQL and Redis, including the ability to write and optimize SQL queries. Monitoring Tools: Familiarity with monitoring solutions, specifically experience with Prometheus, Grafana, and Loki for observability and alerting. Kafka Experience: Practical experience with Apache Kafka, including its configuration and troubleshooting. CI/CD Pipeline Optimization: Expertise in optimizing CI/CD pipelines using Jenkins. Containerization and Orchestration: Proficiency in configuring and troubleshooting Kubernetes and Docker, including managing pods, handling restarts, and overseeing deployments. Testing and Load Simulation: Experience in testing and simulating load to assess service performance. Monitoring Service Interactions and Resiliency Patterns: Ability to monitor service interactions and implement resiliency patterns effectively

We are seeking a talented and motivated Data Scientist with 1-3 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets, we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities: Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 1-3 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with data warehousing concepts and big data tools. Knowledge of MLOps practices, including model deployment, monitoring, and management. Experience with business intelligence tools and creating data-driven dashboards. Understanding of reinforcement learning, natural language processing (NLP), or other advanced AI techniques. Education: Bachelor of Engineering or similar degree from any reputed University.

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

To help us build functional systems that improve customer experience we are now looking for an experienced DevOps Engineer. They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. If you have a solid background in software engineering and are familiar with Ruby or Python, wed love to speak with you. Responsibilities Work with development teams to ideate software solutions Building and setting up new development tools and infrastructure Working on ways to automate and improve development and release processes Ensuring that systems are safe and secure against cybersecurity threats Deploy updates and fixes Perform root cause analysis for production errors Develop scripts to automate infrastructure provision Working with software developers and software engineers to ensure that development follows established processes and works as intended Technologies we use GitOps GitHub, GitLab, BitBucket CI/CD Jenkins, Circle CI, Travis CI, TeamCity, Azure DevOps Containerization Docker, Swarm, Kubernetes Provisioning Terraform CloudOps Azure, AWS, GCP Observability Prometheus, Grafana, GrayLog, ELK Qualifications Graduate / Postgraduate in Technology sector Proven experience as a DevOps Engineer or similar role Effective communication and teamwork skills

We are seeking a highly skilled Devops Engineer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining both frontend and backend components of our applications using Devops and associated technologies. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performing software solutions that meet our business needs. The ideal candidate will have a strong background in devops, experience with modern frontend frameworks, and a passion for full-stack development. Requirements : Bachelor's degree in Computer Science Engineering, or a related field. 6 to 10+ years of experience in full-stack development, with a strong focus on DevOps. DevOps with AWS Data Engineer - Roles & Responsibilities: Use AWS services like EC2, VPC, S3, IAM, RDS, and Route 53. Automate infrastructure using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation . Build and maintain CI/CD pipelines using tools AWS CodePipeline, Jenkins,GitLab CI/CD. Cross-Functional Collaboration Automate build, test, and deployment processes for Java applications. Use Ansible , Chef , or AWS Systems Manager for managing configurations across environments. Containerize Java apps using Docker . Deploy and manage containers using Amazon ECS , EKS (Kubernetes) , or Fargate . Monitoring & Logging using Amazon CloudWatch,Prometheus + Grafana,E Stack (Elasticsearch, Logstash, Kibana),AWS X-Ray for distributed tracing manage access with IAM roles/policies . Use AWS Secrets Manager / Parameter Store for managing credentials. Enforce security best practices , encryption, and audits. Automate backups for databases and services using AWS Backup , RDS Snapshots , and S3 lifecycle rules . Implement Disaster Recovery (DR) strategies. Work closely with development teams to integrate DevOps practices. Document pipelines, architecture, and troubleshooting runbooks. Monitor and optimize AWS resource usage. Use AWS Cost Explorer , Budgets , and Savings Plans . Must-Have Skills: Experience working on Linux-based infrastructure. Excellent understanding of Ruby, Python, Perl, and Java . Configuration and managing databases such as MySQL, Mongo. Excellent troubleshooting. Selecting and deploying appropriate CI/CD tools Working knowledge of various tools, open-source technologies, and cloud services. Awareness of critical concepts in DevOps and Agile principles. Managing stakeholders and external interfaces. Setting up tools and required infrastructure. Defining and setting development, testing, release, update, and support processes for DevOps operation. Have the technical skills to review, verify, and validate the software code developed in the project. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm