10 Newrelic Jobs

As an OMS Developer L3 Support with 9 years of experience, you will be expected to have a minimum of 8 years of experience, with at least 5 years in eCommerce and/or OMS domain. You should possess a good End to End knowledge of various Commerce subsystems, including Storefront, Core Commerce back end, Post Purchase processing, OMS, Store/Warehouse Management processes, Supply Chain, and Logistic processes. Mandatory requirements include good proficiency in at least two areas apart from eCommerce. Your role will involve extensive backend development knowledge utilizing core Java/J2EE and Microservice-based event-driven architecture with a preference for cloud-based architecture, especially AWS. It is recommended that you have a good understanding of integrations with downstream eCommerce systems like OMS, Store Systems, ERP, among others. Any additional knowledge of OMS and Store domains will be seen as an advantage. You should have experience in developing and securely exposing/consuming Web Services RESTful and integrating headless applications in a Service-Oriented Architecture. Moreover, you must be able to comprehend the system end-to-end, maintain applications, and troubleshoot issues effectively. A solid understanding of Data Structures and Entity models is essential. Your expertise should extend to building, deploying, and maintaining server-based as well as serverless applications on the cloud, preferably AWS. You are expected to be skilled in integrating synchronously and asynchronously with third-party web services. Familiarity with AWS services such as Lambda functions, API Gateway, CloudWatch, SQS, SNS, EventBridge, Kinesis, Secret Manager, S3 storage, and different server architectural models is advantageous. Knowledge of major eCommerce/OMS platforms will be an added advantage in this role. A working knowledge of Production Application Support is a must. Additionally, you should possess good knowledge of Agile methodology, CI/CD pipelines, code repo, and branching strategies, preferably using GitHub or Bitbucket. Proficiency in observability tools like New Relic, DataDog, Graphana, Splunk, etc., with the ability to configure new reports, set up proactive alerts, monitor KPIs, and more is expected. A solid understanding of L3 support processes, roles, and responsibilities is essential. You will collaborate closely with counterparts in L1/L2 teams to monitor, analyze, and expedite issue resolutions, reduce stereotypes, automate SoPs, or find proactive solutions. Flexibility to work overlapping with some part of onsite (PST) hours for handing off/transitioning work to the onsite counterpart for L3 support is required in this position.,

The role displayed in this job posting revolves around supporting and addressing stakeholder needs within tight timelines, particularly focusing on modernizing and migrating to OCI. The Operations team is crucial in reducing engineering overhead by managing incoming issues, allowing engineers to concentrate on roadmap priorities. Handling over 2,000 tickets quarterly, the team ensures a seamless experience for Dev Tools consumers and prevents overwhelming engineering teams with ticket overload. With team members shifting to support key CP initiatives and recent departures, there is increased pressure on the team. To uphold service quality and achieve FY2026 goals, the addition of a full-time, permanent team member is recommended. This hire is vital to provide timely support and ensure the team can efficiently meet stakeholder demands. Key responsibilities for this position include designing, building, and maintaining scalable infrastructure, developing automation tools for operational efficiency, monitoring system performance, collaborating with other teams for process improvement, participating in on-call rotations, and ensuring system security and compliance. The ideal candidate should hold a Bachelor's degree in Computer Science, Engineering, or a related field, possess proficiency in various development tools, have hands-on experience with cloud platforms and container orchestration tools, understand networking and Linux administration, be familiar with CI/CD pipelines and monitoring tools, and exhibit strong problem-solving skills. As a world leader in cloud solutions, Oracle is committed to leveraging technology to address current challenges and foster innovation through an inclusive and diverse workforce. The company offers competitive benefits, flexible medical and retirement options, and encourages community involvement through volunteer programs. If you require accessibility assistance or accommodation for a disability during the employment process, please reach out via email at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

As a DevOps Engineer specializing in App Infrastructure & Scaling, you will be a valuable addition to our technology team. Your primary responsibility will be to design, implement, and maintain scalable and secure cloud infrastructure that supports our mobile and web applications. Your role is crucial in ensuring system reliability, performance, and cost efficiency across different environments. You will work with Google Cloud Platform (GCP) to design, configure, and manage cloud infrastructure. Your tasks will include implementing horizontal scaling, load balancers, auto-scaling groups, and performance monitoring systems. Additionally, you will be developing and maintaining CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Real-time monitoring, crash alerting, logging systems, and health dashboards will be set up by you using industry-leading tools. Managing and optimizing Redis, job queues, caching layers, and backend request loads will also be part of your responsibilities. You will automate data backups, enforce secure access protocols, and implement disaster recovery systems. Collaborating with Flutter and PHP (Laravel) teams to address performance bottlenecks and reduce system load is crucial. Infrastructure security audits will be conducted by you to recommend best practices for preventing downtime and security breaches. Monitoring and optimizing cloud usage and billing to ensure a cost-effective and scalable architecture will also fall under your purview. You should have at least 3-5 years of hands-on experience in a DevOps or Cloud Infrastructure role, preferably with GCP. Proficiency with Docker, Kubernetes, NGINX, and load balancing strategies is essential. Experience with CI/CD pipelines and tools like GitHub Actions, Jenkins, or GitLab CI is required. Familiarity with monitoring tools such as Grafana, Prometheus, NewRelic, or Datadog is expected. A deep understanding of API architecture, including rate limiting, error handling, and fallback mechanisms is necessary. Experience working with PHP/Laravel backends, Firebase, and modern mobile app infrastructure is beneficial. Working knowledge of Redis, Socket.IO, and message queuing systems like RabbitMQ or Kafka will be advantageous. Preferred qualifications include a Google Cloud Professional certification or equivalent. Experience in optimizing systems for high-concurrency, low-latency environments and familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible are considered a plus.,

As a DevOps Engineer specializing in App Infrastructure & Scaling, you will be a crucial member of our technology team. Your primary responsibility will involve designing, implementing, and maintaining scalable and secure cloud infrastructure that supports our mobile and web applications. Your contributions will be essential in ensuring system reliability, performance optimization, and cost efficiency across different environments. Your key responsibilities will include designing and managing cloud infrastructure on Google Cloud Platform (GCP), implementing horizontal scaling, load balancers, auto-scaling groups, and performance monitoring systems. You will also be responsible for developing and managing CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Setting up real-time monitoring, crash alerting, logging systems, and health dashboards using industry-leading tools will be part of your daily tasks. You will collaborate closely with Flutter and PHP (Laravel) teams to address performance bottlenecks and reduce system loads. Additionally, you will conduct infrastructure security audits, recommend best practices to prevent downtime and security breaches, and monitor and optimize cloud usage and billing for a cost-effective and scalable architecture. To be successful in this role, you should have at least 3-5 years of hands-on experience in a DevOps or Cloud Infrastructure role, preferably with GCP. Strong proficiency in Docker, Kubernetes, NGINX, and load balancing strategies is essential. Experience with CI/CD pipelines and tools like GitHub Actions, Jenkins, or GitLab CI, as well as familiarity with monitoring tools like Grafana, Prometheus, NewRelic, or Datadog, is required. Deep understanding of API architecture, PHP/Laravel backends, Firebase, and modern mobile app infrastructure is also necessary. Preferred qualifications include Google Cloud Professional certification or equivalent and experience in optimizing systems for high-concurrency, low-latency environments. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Ansible is a plus. In summary, as a DevOps Engineer specializing in App Infrastructure & Scaling, you will play a critical role in ensuring the scalability, reliability, and security of our cloud infrastructure that powers our applications. Your expertise will contribute to the overall performance and cost efficiency of our systems.,

As a seasoned Artificial Intelligence and Machine Learning professional with over 6 years of experience, you will be responsible for leveraging your deep understanding of AI and machine learning algorithms, including large language models (LLMs) like Azure OpenAI and Mystral. Your proficiency in deploying LLM on On-Prem or local Server will be crucial in this role. In this position, it is mandatory for you to have a strong grasp of cloud platforms such as Azure for deploying AI solutions and utilizing existing AI capabilities of the cloud platform. Additionally, familiarity with Azure Container Registry, Azure Container Instance, and App Services will be essential. Your programming skills should include strong coding abilities in languages like Python, as well as experience in Fast API, Flask API creation, and integration of APIs from third-party tools such as SNOW and Sharepoint. Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript will also be required. Expertise in TensorFlow, PyTorch, and other relevant AI/ML libraries to fine-tune models is a must-have for this role. Moreover, familiarity with monitoring tools like Solarwinds, Splunk, and NewRelic will be advantageous. As part of the Data Engineering aspect, you will need to create data flow diagrams and ensure data security at rest and in motion. Collaborating with the team to analyze business data, implement solutions, and ensure data security and compliance will also be part of your responsibilities. In terms of Solution Architecture, you should demonstrate the ability to design and implement scalable AI solutions tailored to business needs. This includes architecture, design development, and walkthroughs with customers. You will also be involved in designing hardware and software requirements to deploy AI solutions for On-Prem or Cloud environments. A good understanding of Multi-factor Authentication is essential for this role. Additionally, the ability to estimate costs for deploying AI solutions on Cloud Platforms will be beneficial. At Wipro, we are reinventing the future of technology. Join us in building a modern Wipro where constant evolution is encouraged. We are looking for individuals who are inspired by reinvention and are eager to realize their ambitions in a purpose-driven environment. If you are ready to design your own reinvention and be part of a business that values diversity and inclusivity, Wipro is the place for you. Applications from individuals with disabilities are encouraged and welcome.,

As a highly experienced and motivated Backend Solution Architect, you will be responsible for leading the design and implementation of robust, scalable, and secure backend systems. Your expertise in Node.js and exposure to Python will be crucial in architecting end-to-end backend solutions using microservices and serverless frameworks. You will play a key role in ensuring scalability, maintainability, and security, while also driving innovation through the integration of emerging technologies like AI/ML. Your primary responsibilities will include designing and optimizing backend architecture, managing AWS-based cloud solutions, integrating AI/ML components, containerizing applications, setting up CI/CD pipelines, designing and optimizing databases, implementing security best practices, developing APIs, monitoring system performance, and providing technical leadership and collaboration with cross-functional teams. To be successful in this role, you should have at least 8 years of backend development experience with a minimum of 4 years as a Solution/Technical Architect. Your expertise in Node.js, AWS services, microservices, event-driven architectures, Docker, Kubernetes, CI/CD pipelines, authentication/authorization mechanisms, and API development will be critical. Additionally, hands-on experience with AI/ML workflows, React, Next.js, Angular, and AWS Solution Architect Certification will be advantageous. At TechAhead, a global digital transformation company, you will have the opportunity to work on cutting-edge AI-first product design thinking and bespoke development solutions. By joining our team, you will contribute to shaping the future of digital innovation worldwide and driving impactful results with advanced AI tools and strategies.,

The client's product enables the utilization of customer data through cutting-edge technologies to: - Enhance understanding of customer behavior to a previously unattainable level. - Determine the exact impact of advertising and promotions. - Create real-time profiles of customer segments. - Uncover the relationship between team member performance and customer loyalty. You should have: - Over 5 years of commercial experience as a DevOps professional. - Practical experience in cloud infrastructure provisioning, deployment, and monitoring on Azure for at least 2 years. - Strong familiarity with best DevOps practices and methodologies. - Good understanding of Computer Science and Computing Theory, including network interactions, protocols, deployment patterns, security patterns, software architecture (e.g., microservices, event-driven design), orchestration, and containerization (Docker, Kubernetes). - Hands-on experience with Infrastructure as Code (IaC), especially with ARM templates/Terraform. - Knowledge of logging and monitoring technologies like Zabbix, NewRelic, PagerDuty, Prometheus, and ELK stack. - Experience with CI/CD processes using AzureDevOps, Docker, Kubernetes (AKS), and product services written in .NET. - Proficiency in different delivery methodologies such as SCRUM, Agile, and Kanban. - Upper-Intermediate English language skills. Desirable qualifications include certifications in Azure and Kubernetes, along with practical experience in data engineering, Big Data stack, high-load systems, and microservices in a production environment. As part of the DevOps team, your responsibilities will include: - Collaborating on the creation of Azure infrastructure and setting up K8s clusters (AKS). - Managing CI/CD pipelines and automation processes. - Overseeing release management and infrastructure maintenance. - Participating in decision-making regarding infrastructure design. - Creating and managing dashboards for environments/builds. - Ensuring security controls do not adversely affect production by working with architects and developers. - Communicating effectively with various stakeholders including PM, PO, software developers, architects, and QA. GlobalLogic offers a stimulating work environment with diverse projects in industries like High-Tech, communication, media, healthcare, retail, and telecom. You will have the opportunity to collaborate with a talented team and enjoy work-life balance, professional development programs, competitive benefits, and fun perks. About GlobalLogic: GlobalLogic is a digital engineering leader that helps brands worldwide design and develop innovative products and digital experiences. Headquartered in Silicon Valley, GlobalLogic operates globally, assisting clients across various industries to envision and realize digital transformations.,

About this role: Wells Fargo is seeking a Senior Infrastructure Engineer The Senior Infrastructure Engineer will design, develop, and implement near real-time data streams, ingesting and enriching business and operational data from various sources across the organization as part of a new enterprise observability platform. In this role, you will: Lead or participate in high level technical concepts spanning technology and business Develop specifications for complex infrastructure systems, design and test solutions Contribute to the testing of business, application and technical infrastructure requirements Drive solutions to reduce recovery Review and analyze solutions for cloud security, secrets management and key rotations Design, code, test, debug and document programs using Agile development practices Design complex system upgrades Resolve troublesome trends as they develop Develop a long range plan designed to resolve problems and prevent them from recurring Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Required Qualifications: 4+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications Platform Support and implementation experience 3+ years of experience in APM monitoring tools like Appdynamics / NewRelic 3 + years of experience with Elasticsearch development, integration, or support 2+ years of Ansible experience 2+ years of experience with scripting (i.e. JavaScript, Groovy, Python, Bash, etc.) and working from the command line in a Linux environment. 2+ years of experience using an automation/orchestration solution such as Ansible, Chef, Puppet, Salt, etc. 3+ Experience in Patching Support and Application Change management Knowledge and understanding of Cloud computing, PaaS design principles and micro services and containers Outstanding problem solving and decision-making skills Strong analytical skills with high attention to detail and accuracy Ability to develop partnerships and collaborate with other business and functional areas Design and implement multi-tenancy in Elasticsearch for data isolation and visualization in Kibana by different tenants of the shared service. Experience designing, implementing, deploying and managing large Elasticsearch clusters and ELK solutions. Advanced experience with Elastic Search to include designing Elastic infrastructure environments, performance tuning, managing Elasticsearch clusters, solution development for searching and analyzing indexed data. Advanced experience with Logstash to include collecting, parsing and transforming attribute data and log data from disparate sources, understanding the Elastic Common Schema and the use of Filter plugins. Excellent verbal, written, and interpersonal communication skills Job Expectations: Demonstrated experience with the Elasticsearch, Logstash and Kibana stack. Installation and configuration of Clusters Indexing Data Queries, Aggregations, Mappings Act as the subject matter expert for ELK implementation across the shared service platform. Ability to integrate with other operational data platforms and tools including Kafka, Splunk, etc. Experience with observability and monitoring products such as AppDynamics, Elastic Search, Datadog, NewRelic, Prometheus, Grafana, etc. Proven track-record of partnering with internal customers, architects, engineers and other technical partners to gather requirements, understand existing systems and develop value-added products/services. Experience in Automating with Ansible

Regular work hours No. of rounds : 1 internal technical round & client 2 rounds About You : The GCP CloudOps Engineer is accountable for a continuous, repeatable, secure, and automated deployment, integration, and test solutions utilizing Infrastructure as Code (IaC) and DevSecOps techniques. - 8+ years of hands-on experience in infrastructure design, implementation, and delivery - 3+ years of hands-on experience with monitoring tools (Datadog, New Relic, or Splunk) - 4+ years of hands-on experience with Container orchestration services, including Docker or Kubernetes, GKE. - Experience with working across time zones and with different cultures. - 5+ years of hands-on experience in Cloud technologies GCP is preferred. - Maintain an outstanding level of documentation, including principles, standards, practices, and project plans. - Having experience building a data warehouse using Databricks is a huge plus. - Hands-on experience with IaC patterns and practices and related automation tools such as Terraform, Jenkins, Spinnaker, CircleCI, etc., built automation and tools using Python, Go, Java, or Ruby. - Deep knowledge of CICD processes, tools, and platforms like GitHub workflows and Azure DevOps. - Proactive collaborator and can work in cross-team initiatives with excellent written and verbal communication skills. - Experience with automating long-term solutions to problems rather than applying a quick fix. - Extensive knowledge of improving platform observability and implementing optimizations to monitoring and alerting tools. - Experience measuring and modeling cost and performance metrics of cloud services and establishing a vision backed by data. - Develop tools and CI/CD framework to make it easier for teams to build, configure, and deploy applications - Contribute to Cloud strategy discussions and decisions on overall Cloud design and best approach for implementing Cloud solutions - Follow and Develop standards and procedures for all aspects of a Digital Platform in the Cloud - Identify system enhancements and automation opportunities for installing/maintaining digital platforms - Adhere to best practices on Incident, Problem, and Change management - Implementing automated procedures to handle issues and alerts proactively - Experience with debugging applications and a deep understanding of deployment architectures. Pluses : - Databricks - Experience with the Multicloud environment (GCP, AWS, Azure), GCP is the preferred cloud provider. - Experience with GitHub and GitHub Actions

What will you do at Fynd? - Run the production environment by monitoring availability and taking a holistic view of system health. - Improve reliability, quality, and time-to-market of our suite of software solutions - Be the 1st person to report the incident. - Debug production issues across services and levels of the stack. - Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realise it. - Building automated tools in Python / Java / GoLang / Ruby etc. - Help Platform and Engineering teams gain visibility into our infrastructure. - Lead design of software components and systems, to ensure availability, scalability, latency, and efficiency of our services. - Participate actively in detecting, remediating and reporting on Production incidents, ensuring the SLAs are met and driving Problem Management for permanent remediation. - Participate in on-call rotation to ensure coverage for planned/unplanned events. - Perform other task like load-test & generating system health reports. - Periodically check for all dashboards readiness. - Engage with other Engineering organizations to implement processes, identify improvements, and drive consistent results. - Working with your SRE and Engineering counterparts for driving Game days, training and other response readiness efforts. - Participate in the 24x7 support coverage as needed Troubleshooting and problem-solving complex issues with thorough root cause analysis on customer and SRE production environments - Collaborate with Service Engineering organizations to build and automate tooling, implement best practices to observe and manage the services in production and consistently achieve our market leading SLA. - Improving the scalability and reliability of our systems in production. - Evaluating, designing and implementing new system architectures. Some specific Requirements : - B.Tech. in Engineering, Computer Science, technical degree, or equivalent work experience - At least 3 years of managing production infrastructure. - Leading / managing a team is a huge plus. - Experience with cloud platforms like - AWS, GCP. - Experience developing and operating large scale distributed systems with Kubernetes, Docker and and Serverless (Lambdas) - Experience in running real-time and low latency high available applications (Kafka, gRPC, RTP) - Comfortable with Python, Go, or any relevant programming language. - Experience with monitoring alerting using technologies like Newrelic / zybix /Prometheus / Garafana / cloudwatch / Kafka / PagerDuty etc. - Experience with one or more orchestration, deployment tools, e. CloudFormation / Terraform / Ansible / Packer / Chef. - Experience with configuration management systems such as Ansible / Chef / Puppet. - Knowledge of load testing methodologies, tools like Gating, Apache Jmeter. - Work your way around Unix shell. - Experience running hybrid clouds and on-prem infrastructures on Red Hat Enterprise Linux / CentOS - A focus on delivering high-quality code through strong testing practices.