8 Graphana Jobs

About Netradyne: Netradyne, founded in 2015, is a technology company that specializes in leveraging expertise in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. The company's technology is currently implemented in a multitude of vehicles, ranging from passenger cars to semi-trailers, operating on various types of roads including interstates, suburban roads, rural highways, and even off-road terrains. Netradyne is seeking talented engineers to join the Analytics team, which consists of graduates from prestigious institutions such as IITs, IISC, Stanford, UIUC, and UCSD. The team is dedicated to developing cutting-edge AI solutions that enable drivers and fleets to identify unsafe driving scenarios in real-time, thereby preventing accidents and reducing fatalities and injuries. Job Title: Staff Data Engineer - ML Experience: 5-8 years Role and Responsibilities: As a Staff Data Engineer specializing in Machine Learning, you will work closely with a team of machine learning engineers and data scientists. Your primary responsibilities will include: - Designing, developing, and deploying scalable solutions that incorporate GenAI, Traditional ML models, Data science, and ETL pipelines. - Collaborating with cross-functional teams to integrate AI-driven solutions into business operations. - Building and improving automation frameworks, data processing mechanisms, and model deployment procedures. - Leveraging Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions. - Conducting research to stay abreast of the latest developments in generative AI and related technologies. - Delivering essential product features within cloud analytics. Requirements: - B. Tech, M. Tech, or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field. - Proficient programming skills in Python and SQL, with a solid foundation in computer science principles, algorithms, data structures, and object-oriented programming. - Experience in developing end-to-end solutions on AWS cloud infrastructure. - Sound understanding of internal workings and schema design for various data storage systems (RDBMS, Vector databases, and NoSQL). - Familiarity with Gen-AI tools, workflows, and large language models (LLMs). - Experience with cloud platforms and deploying models at scale. - Strong analytical and problem-solving abilities with acute attention to detail. - Thorough knowledge of statistics, probability, and estimation theory. Desired Skills: - Familiarity with frameworks such as PyTorch, TensorFlow, and Hugging Face. - Experience with data visualization tools like Tableau, Graphana, and Plotly-Dash. - Exposure to AWS services such as Kinesis, SQS, EKS, ASG, Lambda, etc. - Expertise in at least one popular Python web-framework (e.g., FastAPI, Django, or Flask). - Experience in rapid prototyping using Streamlit, Gradio, Dash, etc. - Exposure to Big Data processing technologies (e.g., Snowflake, Redshift, HDFS, EMR).,

You should have a minimum of 8 years of experience, with at least 5 years in the eCommerce and/or OMS domain. It is essential to possess a comprehensive understanding of various Commerce subsystems, including Storefront, Core Commerce back end, Post Purchase processing, OMS, Store/Warehouse Management processes, Supply Chain, and Logistic processes. Proficiency in a minimum of two areas apart from eCommerce is mandatory. Your expertise should include extensive backend development knowledge utilizing core Java/J2EE and Microservice based event-driven architecture, preferably with a cloud-based architecture such as AWS. Knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP, etc., is preferred. Additional familiarity with OMS and Store domains is advantageous. Experience in Service-Oriented Architecture, including developing/securely exposing/consuming Web Services RESTful and integrating headless applications, is required. You should be capable of understanding system end-to-end, maintaining applications, and troubleshooting issues effectively. A good grasp of Data Structures and Entity models is necessary. You must demonstrate proficiency in building, deploying, and maintaining server-based as well as serverless applications on the cloud, preferably AWS. Expertise in integrating synchronously and asynchronously with third-party web services is essential. Knowledge of AWS Lambda functions, API Gateway, AWS CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models, etc., is beneficial. Familiarity with any major eCommerce/OMS platforms is advantageous. Working knowledge of Production Application Support is a must. You should also have a good understanding of Agile methodology, CI/CD pipelines, code repo, and branching strategies, preferably with GitHub or Bitbucket. Adeptness in observability tools like NewRelic, DataDog, Graphana, Splunk, etc., along with configuring new reports, proactive alert settings, monitoring KPIs, is necessary. Understanding of L3 support processes and the ability to work closely with counterparts in L1/L2 teams to monitor, analyze, and expedite issue resolutions are vital. Being proactive in reducing stereotypes, automating SoPs, or finding avenues for the same is expected. Flexibility to work with some part of onsite (PST) hours overlap for handing off/transitioning work for the day to the onsite counterpart for L3 support is required.,

Founded in 2015, Netradyne is a technology company that specializes in Artificial Intelligence, Deep Learning, and Edge Computing to provide innovative solutions to the transportation industry. With technology already implemented in thousands of vehicles ranging from passenger cars to semi-trailers, Netradyne aims to enhance safety on interstates, suburban roads, rural highways, and even off-road terrains. Netradyne is currently seeking skilled engineers to join the Analytics team, which consists of talented graduates with a strong educational background. The team focuses on developing cutting-edge AI solutions to identify unsafe driving situations in real-time, ultimately preventing accidents and reducing fatalities and injuries. As a part of the Analytics team, you will work alongside machine learning engineers and data scientists to create and deploy scalable solutions utilizing GenAI, Traditional ML models, Data science, and ETL pipelines. Your responsibilities will include designing, developing, and implementing production-ready solutions, collaborating with cross-functional teams to integrate AI-driven solutions, building automation frameworks, and staying abreast of advancements in generative AI technologies. Key Responsibilities: - Design, develop, and deploy production-ready scalable solutions leveraging GenAI, Traditional ML models, Data science, and ETL pipelines. - Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. - Build and enhance frameworks for automation, data processing, and model deployment. - Utilize Gen-AI tools and workflows to enhance the efficiency and effectiveness of AI solutions. - Stay updated with the latest advancements in generative AI and related technologies. - Deliver key product features within cloud analytics. Requirements: - Hold a degree in Tech, M. Tech, or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Maths, Operations Research, or a related domain. - Proficient in Python and SQL with a strong foundation in computer science principles, algorithms, data structures, and OOP. - Experience in developing end-to-end solutions on AWS cloud infrastructure. - Familiarity with internals and schema design for various data stores (RDBMS, Vector databases, and NoSQL). - Experience with Gen-AI tools, workflows, and large language models (LLMs). - Proficient in cloud platforms and deploying models at scale. - Strong analytical and problem-solving skills with attention to detail. - Sound knowledge of statistics, probability, and estimation theory. Desired Skills: - Familiarity with PyTorch, TensorFlow, and Hugging Face frameworks. - Experience with data visualization tools such as Tableau, Graphana, and Plotly-Dash. - Exposure to AWS services like Kinesis, SQS, EKS, ASG, Lambda, etc. - Expertise in at least one popular Python web framework (e.g., FastAPI, Django, or Flask). - Exposure to quick prototyping using Streamlit, Gradio, Dash, etc. - Familiarity with Big Data processing tools such as Snowflake, Redshift, HDFS, EMR.,

NTT DATA is looking for a Java Developer - Digital Engineering Lead Engineer to join their team in Remote, Karntaka (IN-KA), India (IN). As a Senior Developer, you are expected to have 8 to 12 years of experience with microservices based architecture. Your expertise should include the Java Technology stack such as Spring, Spring Boot, ELK, Promotheus, Graphana, and the implementation of microservices design patterns. Additionally, you should have experience in implementing Event driven architecture using Kafka or similar technologies. The ideal candidate will have hands-on development skills coupled with architecture/design experience, without moving away from software development. You should possess a demonstrable experience, thorough knowledge, and interests in Cloud native architecture, Distributed micro-services, Multi-tenant SaaS solution, Cloud Scalability, performance, and High availability. Experience in driving CI/CD and DevOps activities automations is essential, along with nice-to-have platform services experience in integration with services. Experience in Database and Services scalability in the Cloud is also preferred. Your role will involve hands-on implementation of microservices enhancements, running, and improving the efficiency of the microservices. NTT DATA is a $30 billion global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. They are one of the leading providers of digital and AI infrastructure worldwide. NTT DATA is part of the NTT Group, which invests over $3.6 billion each year in R&D to support organizations and society in confidently and sustainably transitioning into the digital future. Visit NTT DATA at us.nttdata.com,

As a member of the Technology Engineering and Ops team, your primary responsibility will be to lead a team of skilled developers in the creation of next-generation applications focused on Modern User Experience. These applications will include Control UP, Aternity, Next-Think, Unified Print Management, and Thin clients (IGEL/WYSE). Additionally, you will oversee the development, management, and support of data visualization utilizing tools such as PowerBI, Graphana, and Tableau. Collaborating closely with a dedicated leadership team, you will play a crucial role in building a high-performing team that drives essential change and leadership initiatives throughout the organization. Your duties will also involve ensuring the reliability, resilience, security, and effectiveness of production solutions, with a strong emphasis on continuous monitoring and documentation. In order to establish operational excellence, you will define key metrics and KPIs to enhance governance, quality, and efficiency. By leveraging innovation and operational improvements, you will influence and enhance existing processes, positioning yourself as a thought leader in driving automation initiatives to enhance service health, manageability, and reliability. Your typical day will involve building strong relationships with various stakeholders, including business teams and management, to identify and resolve issues effectively. You will collaborate closely with Product Groups to deploy pre-released software, provide feedback, and drive enhancements into the products. Additionally, you will be responsible for managing multiple projects, stakeholder relationships, and reporting requirements. We are seeking a candidate with over 15 years of leadership experience in leading technical teams within a complex environment. You should have a strong background in Unified Print Management, Thin Clients management (Wyse and IGEL), Self-Healing technologies like Control UP and Aternity, and leveraging data analytics to enhance the end-user experience. Experience with Citrix Virtual Apps and Desktop or similar virtual desktop environments is essential, as well as knowledge of Citrix Cloud/Citrix Workspace. Proficiency in Endpoint management tools such as Endpoints, Intune, SCCM, Group Policy, and Thin Clients (including WYSE and IGEL) is required. You should have experience in building Power BI data marts, monitoring Power BI workspaces for performance issues, and defining reporting visualization standards. Previous experience in leading large enterprise development projects, strong troubleshooting skills, and the ability to work in Agile methodologies are highly desirable. A Bachelor's degree in computer science, engineering, or a related field is a prerequisite for this role. The ability to work in a shift model to support users across global geographies is also expected.,

NP: Immediate to 15 Days Mandatory Skills: OMS , L3 Support , Ecom Domain, Java , Microservice , AWS , NewRelic , DataDog, Graphana, Splunk ( Monitoring tool ). Should have good End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS). Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc. Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc. Good understanding of Data Structures and Entity models. Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS. Expertise in integrating synchronously and asynchronously with third party web services. Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS. CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc. Must have a working knowledge of Production Application Support. Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket. Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. Should have a fairly good understanding of L3 support processes, roles and responsibilities. Should be flexible to work with overlap with some part of onsite (PST) hours to hand off / transition work for the day to the onsite counterpart for L3.

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.,

Dear Candidates , We are hiring for Support Analyst-based on Devops Location- Mumbai Exp- 2-7years Skills- Hands-on :- DEVOPS tools like Ansible, Jenkins, Bitbucket, Teamcity, Artifactory, etc. Experience in Tools :- Geneos, Dynatrace, Bladelogic, Autosys, CFT, MQ, SFTP, Splunk, Graphana, etc Technology :- Worked on Linux, Python, Shell & basic idea on windows. Job Description System administration Strong knowledge on Linux/Unix systems with ability to tune Operating systems for optimum performance. Good knowledge on windows Strong all-around IT background and proven experience in electronic trading markets on similar environments. Scripting (Python, PERL, Shell, SQL....) and development skills for administration, monitoring and support tools. Databases – exposure to or skills in SQL Server and Oracle ECN connectivity Good network and firewall infrastructure understanding. Good understanding of multicast messaging (ideally in a Tibco Rendezvous environment). Ability to analyze network captures Knowledge of Capital Markets business and environments is essential DEVOPS tools like Ansible, Jenkins, Bitbucket, Teamcity, Artifactory, etc. Experience on Tools like Geneos, Dynatrace, Bladelogic, Autosys, CFT, MQ, SFTP, Splunk, Graphana, etc. Interested candidates share resume on singh.nikita@kiya.ai /8928594185