92 Influxdb Jobs

Role Overview: As a developer at NETGEAR, you will be responsible for designing and developing scalable web applications for network device management, monitoring, and configuration. Additionally, you will create real-time dashboards, develop APIs for network hardware management, visualize network topologies, build mobile applications for field technicians, implement performance monitoring, configure devices in bulk, create alert systems, contribute to multi-tenant architecture, and develop RESTful APIs for third-party integrations. Key Responsibilities: - Design and develop scalable web applications for network device management, monitoring, and configuration - Build responsive dashboards displaying network topology, device status, performance metrics, and alerting systems - Develop APIs and interfaces for managing diverse network hardware from multiple vendors - Create interactive network topology maps and device relationship diagrams - Build mobile applications for field technicians to configure and troubleshoot network devices remotely - Implement real-time network performance monitoring, SNMP integration, and telemetry data visualization - Develop tools for bulk device configuration, firmware updates, and policy deployment - Build intelligent alerting and notification systems for network events and anomalies - Contribute to secure, scalable multi-tenant SaaS platform architecture - Create RESTful APIs for third-party integrations and customer automation workflows Qualification Required: - Bachelor's degree in computer science, Network Engineering, or related technical field - 8-10 years of full-stack development experience with 3+ years in network management or infrastructure software - Strong understanding of TCP/IP, OSI model, routing protocols, and enterprise networking concepts - Experience with network device APIs (Cisco, Juniper, Aruba, Ubiquiti, etc.) - Knowledge of WiFi standards (802.11), network switching concepts, and routing protocols - Experience building SaaS platforms for enterprise customers - Familiarity with network automation tools (Ansible, Puppet) and Infrastructure as Code Additional Company Details: At NETGEAR, the company is on a mission to unleash the full potential of connectivity with intelligent solutions that delight and protect. They value employees as essential building blocks of success, committing to delivering world-class products and living by their values of daring to transform the future, connecting and delighting customers, communicating courageously, and collaborating to win together. NETGEAR strives to create a great workplace where employees feel engaged, inspired, challenged, proud, and respected. If you are creative, forward-thinking, and passionate about technology, NETGEAR offers a rewarding career opportunity to make an impact and shape the future of connectivity.,

As a VP, IOT Engineering at Siemens, you will be responsible for leading the ramp-down strategy for the Enlighted IOT, managing legal entity ramp-down and liquidation, and ensuring customer service and support during the transition period. Your role will involve managing the Enlighted IOT ramp-down in a controlled and cost-optimized manner, as well as leading the engineering team by hiring, mentoring, and providing hands-on management. Your responsibilities will include defining and executing short-term and long-term ramp-down strategies, managing customer contract end-of-life, and guiding the engineering team to develop capabilities through hiring and mentoring. You will work towards defining an operational rhythm that balances high output with sustainable development, guiding decisions on the technical direction of architecture, and ensuring the service availability 24/7. In order to succeed in this role, you should have previous experience as a leader in enterprise cloud platforms and managing teams through growth journeys. Your technical expertise should include a deep knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform), IoT ecosystem, software architecture, API design, data engineering & analytics, security, and engineering management & DevOps. Additionally, you should possess strong leadership and strategic skills, with the ability to create and execute roadmaps for IoT ramp-down and manage customer contracts effectively. The qualifications required for this role include a Bachelor's degree in computer science, engineering, or a related technical field, with a preference for a Master's degree. Certifications such as AWS Certified Solutions Architect or equivalent, and Certified Scrum Professional are desirable. You should have at least 15 years of experience in software/technology engineering roles, with 5-8 years in leadership positions, preferably at the Director, Sr. Director, or VP level. Experience in IoT platforms/products, enterprise SaaS, and managing distributed teams across geographies is highly beneficial. Join Siemens in Chennai and be part of a global team dedicated to building a more connected and sustainable world. Shape the future with us and contribute to creating innovative solutions that have a positive impact on society. Siemens values diversity and welcomes applications from individuals of all backgrounds. Bring your skills, passion, and creativity to Siemens, and help us build a better tomorrow.,

About The Role Project Role : Solution Architect Project Role Description : Translate client requirements into differentiated, deliverable solutions using in-depth knowledge of a technology, function, or platform. Collaborate with the Sales Pursuit and Delivery Teams to develop a winnable and deliverable solution that underpins the client value proposition and business case. Must have skills : Grafana Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Job Overview:We are seeking an experienced Grafana Implementation and Support Engineer to join our IT/DevOps team. The successful candidate will be responsible for the deployment, configuration, and ongoing support of the Grafana platform for monitoring and visualizing application and infrastructure performance. This role requires strong technical expertise, problem-solving skills, and the ability to work effectively with various teams to ensure optimal performance and reliability.Key Responsibilities:Grafana Implementation:oPlan, design, and execute the deployment of Grafana across multiple environments.oConfigure Grafana to monitor key performance metrics, including custom dashboards, alerts, and data sources.Support and Maintenance:oProvide ongoing support for the Grafana platform, ensuring continuous monitoring and optimal performance.oTroubleshoot and resolve issues related to Grafana configurations, data collection, and visualizations.oPerform regular upgrades and maintenance of the Grafana platform.Monitoring and Optimization:oMonitor application and infrastructure performance in real-time, identifying and diagnosing performance issues.oWork with development, operations, and infrastructure teams to implement performance improvements and optimizations.oConduct root cause analysis of performance issues and provide actionable recommendations.Collaboration and Training:oCollaborate with cross-functional teams (development, QA, operations) to integrate Grafana into the monitoring and alerting lifecycle.oTrain and support team members in the use of Grafana for monitoring and troubleshooting.Reporting and Documentation:oGenerate and distribute regular reports on application and infrastructure performance.oMaintain comprehensive documentation of Grafana configurations, monitoring setups, and troubleshooting procedures.Continuous Improvement:oStay current with the latest Grafana features, best practices, and industry trends.oProactively suggest enhancements to improve monitoring capabilities and performance. Qualifications:Education:Experience:oMinimum [X] years of experience in performance monitoring and management, specifically with Grafana.oProven experience in the end-to-end implementation and support of Grafana in a complex environment.Technical Skills: oStrong knowledge of Grafana, including installation, configuration, and customization.oExperience with data sources such as Prometheus, InfluxDB, Elasticsearch, and others.oProficiency in programming or scripting languages such as Python, Shell, or PowerShell.oFamiliarity with cloud environments and container orchestration tools (e.g., Kubernetes, Docker).oUnderstanding of network protocols and application architectures.oApplication and Infrastructure Monitoring - Expertise in monitoring applications and underlying infrastructureoCloud Platform Knowledge:Understanding of cloud platforms (e.g., AWS, Azure, GCP) and their specific metrics for effective cloud monitoring.oAbility to diagnose and resolve performance issues and conduct thorough RCA.oCustomization and Configuration:Proficiency in customizing dashboards, alerts, and reports to meet specific business and technical requirements.oScripting and Automation:Knowledge of scripting languages (e.g., Python, PowerShell) to automate tasks and enhance monitoring capabilities.oIntegration Other Tools with GrafanaoSecurity and Compliance AwarenessSoft Skills: oExcellent problem-solving and analytical skills.oStrong communication and collaboration skills.oAbility to work independently and manage multiple tasks effectively.oAttention to detail and a proactive approach to identifying and resolving issues.Preferred Qualifications:Grafana certification(s).Experience with other monitoring tools like Prometheus, Nagios, or Zabbix.Knowledge of DevOps practices and tools.Experience in performance testing and tuning. Qualification 15 years full time education

As VP, IOT Engineering at Siemens, your primary responsibility will be to lead the ramp down strategy for Enlighted IOT. This involves managing the legal entity ramp down, customer contract end-of-life, and ensuring customer service/support throughout the process. You will be in charge of optimizing costs during the Enlighted IOT ramp down and leading the engineering team by hiring, mentoring, and providing hands-on management. Your role will also involve defining the operational rhythm of the team to balance high output with sustainable development. Additionally, you will guide decisions regarding the long-term technical direction of the architecture and represent the Engineering team across the company, aligning their work with business priorities. To excel in this role, you should have previous experience in enterprise cloud platforms and managing teams with diverse backgrounds. Your expertise in leading teams building cloud-based distributed systems, modern architecture, and IoT ecosystems will be crucial. You must deeply care about the quality of the software you deliver and have a strong sense of ownership in the business. Collaboration with partners across the organization and strong leadership skills are essential for success in this position. Key Responsibilities: - Create and execute short term and long term ramp down strategy for Enlighted IOT - Lead the legal entity ramp down and liquidation - Manage customer contract end of life and ensure customer service/support - Optimize costs during the ramp down period - Develop and mentor the engineering team - Define operational rhythm for sustainable development - Guide technical direction of the architecture - Represent the Engineering team across the company - Ensure service availability 24/7 - Drive revenue growth as part of SI B SW leadership team Qualifications: - Deep knowledge of at least one Cloud platform (AWS, Azure, GCP) - Proficiency in IoT Ecosystem, Software Architecture, API design, Data Engineering & Analytics, and Security - Experience in Engineering Management, DevOps, SDLC management, and code quality standards - Leadership skills in creating and executing roadmaps, managing contracts, and building high-performing teams - Strong executive communication, strategic decision-making, and customer-oriented thinking - Bachelor's degree in computer science, Engineering, or related field (Master's degree preferred) - Certifications: AWS Certified Solutions Architect or equivalent, Certified Scrum Professional or similar Agile certs - 15+ years of experience in software/technology engineering roles, with 5+ years in leadership positions - Background in enterprise SaaS and IoT platforms/products at scale This position is based in Chennai, offering you the opportunity to work with diverse teams impacting cities and countries. Siemens is committed to equality and encourages applications from diverse backgrounds. Join us in building the future with curiosity and imagination at Siemens Smart Infrastructure.,

Your Role Design and architect modern backend systems using Spring Boot, Spring MVC, and microservices principles. Defines infrastructure for design and integration of internet computing systems by analyzing information requirements, studying business operations and user-interface requirements, and directing development of physical database. Determines platform architecture, technology, and tools. Confirms architecture capability and flexibility to support high availability web applications by developing analytical models and completing validation tests. Improves architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Your Profile Work extensively with AWS or Azureservices, including MSK (Kafka), EC2, RDS, S3, Redis, and InfluxDB. Deep expertise in Spring Bootand the broader Spring ecosystem. 10+ years of experience in building Enterprise applications using Java(with 5+ years in architecture and leadership roles). Solid grasp of microservice design, object-oriented programming, and stateful systems. What will you love working at Capgemini Capgemini is known for providing"breathing time for learning and implementation", which is especially valuable in technical roles like Maximo. This allows you to stay updated with the latest tools and methodologies Many employees highlight thecollaborative nature of client relationships, which helps in smoother project execution and professional growth You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

The primary purpose of your role is to design and construct high-performance trading systems and data infrastructure for Nuvama's capital markets operations. Your responsibilities will include building trading execution systems, market data pipelines, backtesting frameworks, and collaborating with traders to develop custom solutions. It is crucial to ensure ultra-low latency execution, high data accuracy, and system uptime to meet the performance metrics and deliver efficient trading solutions. As a qualified candidate, you are required to hold a Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Physics, or Quantitative Finance. Additionally, you should possess 2-5 years of hands-on experience in quantitative finance or financial technology, with recent exposure to equity markets and trading systems. Technical certifications in AWS, Databricks, or financial industry certifications are preferred qualifications for this role. Your technical competencies should include expertise in programming languages like PySpark, Scala, Rust, C++, and Java, along with proficiency in Python ecosystem tools for quantitative analysis. You must also have experience in data engineering, system design principles, and developing trading systems from scratch. Knowledge of financial markets, trading mechanics, and algorithmic trading strategy development is essential for this position. In terms of behavioral competencies, you should demonstrate technical leadership, innovation, collaboration with stakeholders, and a focus on project execution and delivery. Your ability to understand market dynamics, regulatory requirements, and continuously adapt to market evolution will be critical for success in this role. Moreover, staying current with technology advancements in quantitative finance, data engineering, and trading technology is essential for continuous learning and improvement. Overall, your role will involve designing scalable trading systems, implementing real-time data infrastructure, and collaborating with traders to optimize trading execution and risk management platforms. Your technical expertise, market knowledge, and behavioral competencies will be key to achieving high performance and operational efficiency in Nuvama's capital markets operations.,

As a member of the Customer Validation Testing (CVT) team at Cisco, you will be part of a dedicated and dynamic group of engineers working on the qualification and automation of influential technologies, XR platforms, and solutions for deployment in high-end Cisco Web and Service Provider customers. Your collaborative efforts will impact an endless number of users worldwide. The team is comprised of talented engineers with diverse experience levels, ranging from 3 to over 20 years, bringing significant expertise to the table. With a global presence, the team operates from centers in the US, Canada, and India. Your responsibilities will include crafting, automating, configuring, and qualifying customer use cases based on IOS XR platforms. This involves generating test plans and dynamically prioritizing tasks based on customer demands, maximizing the right technical expertise and skills in each area. You will design and develop innovative test frameworks and tools to support the test execution environment, as well as develop web-based GUIs that use analytics and machine learning to thoughtfully display and analyze execution results. Driving test cases both manually and through automation, raising, tracking, prioritizing, and verifying defects and fixes will be part of your daily tasks. You will proactively seek continuous improvements in test coverage, execution, and automation, optimizing performance and configuration dimensioning. Reproducing customer issues in internal test labs as requested by the customer support team, generating test execution, and collaborating with the development team, account team, and customers to understand and validate customer use cases are also key aspects of your role. Minimum Qualifications: - Bachelors in STEM with 7+ years of relevant experience or Masters in STEM with 5+ years of relevant experience - 4+ years of programming experience with Python or Go - Networking domain experience working with L2 or L3 networking protocols such as ISIS, BGP, MPLS, IPv6, GRE, MPLS-TE, LDP, RSVP, L2VPN, L3VPN, EVPN - Experience in networking automation and software quality assurance Preferred Qualifications: - Hands-on experience with GIT, Jira, Jenkins, and CI/CD pipeline tools - Industry certification such as CCIE/CCNP/Cisco DevNet will be a plus - Experience with network automation frameworks like pyATS, Pytest Ansible & Robot - Experience with network monitoring tools like Grafana, telegraf, Elasticsearch, and InfluxDB - Experience in working with traffic generators like Ixia and Spirent - Experience in network programmability - gNMI, gRPC, NETCONF, YANG REST APIs, RPC - Strong Linux experience, with preferred knowledge of virtualization and containerization technologies - KVM, VMware, Docker, and Kubernetes - Strong troubleshooting and problem-solving skills - Experience with AI and machine learning is a plus - Understanding and hands-on experience with Cisco IOS/IOS-XR platforms At Cisco, we value connection and celebrate our employees" diverse set of backgrounds. We focus on unlocking potential and encourage learning and development at every stage. Our technology, tools, and culture have pioneered hybrid work trends, allowing all to not only give their best but be their best. We understand our outstanding opportunity to bring communities together, and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer 80 hours each year allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!,

Technical infrastructure Cloud & Infrastructure: AWS EC2, Terraform Enterprise, Docker, Aurora, Mesos, Kubernetes, ELK (Elastic Search, Logstash & Kibana). Observability & Automation: Grafana, Prometheus, Datadog, Telegraf, Runscope, Apollo, GraphQL. Development Stack: Microservices architecture, Spring, Java & NodeJS, React, Express.js. Data & Storage: Amazon RDS, Dynamo DB, Postgres, Oracle, MySQL, Influx DB, Linux, Jenkins, GitHub. AI & Agentic Automation: AWS Bedrock LLMsandAWS Bedrock Engineerfor building and integrating scalable, low-latency AI-driven automation capabilities. You can read more on our Engineering Blog - About the role: You will constantly be asking, what are the most important infrastructure problems we need to solve for today, that will increase the reliability and performance of our applications and infrastructure. Identify and solve the most critical infrastructure challenges to improve system reliability, scalability, and performance. Design, test, and implement AI-enhanced DevOps workflows, including autonomous agents for monitoring, remediation, and optimization. Partner with SRE and development teams to build robust, self-service deployment pipelines and infrastructure tooling. Evaluate new technologies to continuously improve system automation, cost efficiency, and security. Work with AI-enhanced monitoring and self-healing infrastructure components powered by agentic patterns. Key Responsibilities: Build, maintain, and evolve cloud infrastructure with Infrastructure as Code (Terraform, CloudFormation). Manage containerized workloads (Docker, Kubernetes) at scale, with a focus on extending capabilities through AI-driven orchestration. Implement and maintain advanced monitoring, observability, and alerting systems enhanced with agent-based analytics. Automate workflows to reduce manual intervention and accelerate delivery cycles. Collaborate with cross-functional teams to ensure infrastructure meets the needs of high-availability, low-latency applications. Regularly review and optimize existing architecture for cost, security, and performance improvements. Skills & Experience: 6 to 10 years of hands-on SRE/DevOps experience in an Agile environment. Proven ability to collaborate across engineering and operations, with pragmatic problem-solving. Deep experience with AWS and infrastructure design patterns, and in recommending appropriate AWS services, including newer AI-focused tools likeBedrock. Strong knowledge and skills of AI-enhanced DevOps workflows and agentic infrastructure models. Able to quickly resolve outages, lead incident response, and restore service reliability. Proficiency in diagnosing outages and restoring service with urgency. Infrastructure as Code expertise (Terraform, CloudFormation). Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD tools, scripting languages, and observability platforms. Strong collaboration skills, with the ability to influence and guide best practices Preferred Skills and Interests Solid RDBMS experience (Postgres, MySQL, etc.), with tuning and performance expertise. Strong Linux fundamentals. Event-driven systems and message queue management Security, including firewalls, load balancing, secret management.

Key Responsibilities Design, build, and maintain a robust data platform on Databricks. Develop efficient ETL/ELT pipelines to ingest data from SQL Server, MongoDB, and InfluxDB into Databricks Delta Lake. Implement real-time and batch data ingestion strategies using tools such as Kafka, Azure Event Hubs, or similar. Optimize data storage and processing for performance, scalability, and cost-effectiveness. Build data models to support BI, advanced analytics, and machine learning use cases. Collaborate with stakeholders (Data Scientists, Analysts, Product Teams) to define data requirements. Ensure data quality, governance, and security across the platform. Monitor, troubleshoot, and enhance data workflows for reliability. Required Skills & Qualifications Proven experience in Databricks (Delta Lake, Spark, PySpark, SQL). Strong expertise in data integration from multiple sources (SQL Server, MongoDB, InfluxDB). Hands-on experience with ETL/ELT pipeline development and orchestration (e.g., Airflow, ADF, or equivalent). Proficiency in data modeling, data warehousing concepts, and performance tuning. Familiarity with real-time data streaming (Kafka, Azure Event Hubs, or similar). Strong programming skills in Python and SQL. Experience with cloud platforms (Azure). Excellent problem-solving skills and the ability to work in a fast-paced environment. Familiar with Change Data Capture Preferred Qualifications Experience with InfluxDB or time-series data handling. Exposure to machine learning workflows within Databricks. Knowledge of data governance frameworks (Unity Catalog, Purview, or similar).

As a Manager - Manufacturing Execution System (MES) at Exide Energy Solutions Limited, you will be a key player in driving innovative solutions in the energy sector. Your passion for collaborating with a talented team and making a significant impact will be highly valued in this dynamic role. Your responsibilities will include participating in project design, technical feasibility study, and implementation to ensure project performance aligns with requirements. You will be involved in system design, project programming, database design, debugging, and module testing. Taking ownership of project implementation and maintenance will be crucial, along with developing and maintaining technical documentation. To excel in this role, you must have a full-time college degree or above in a computer-related major with over 8 years of development experience. A minimum of 2-3 years of ASP.NET MVC, C# development experience is required, along with familiarity with B/S & C/S software structure. Practical Siemens Opcenter experience in large MES projects is essential. Proficiency in Sqlserver, MySQL, Oracle relational databases, and SQL performance optimization is necessary. Familiarity with Redis, MQ, and other middleware platforms will be advantageous. You should have mastery of HTML, JavaScript, CSS, Ajax, JQuery, WebApi, WPF, and other WEB development technologies. Knowledge of front-end development frameworks such as ExtJs, Vue, Node.js, WPF, WCF, WebServer, and WebApi is expected, along with an understanding of TCP/IP and serial port protocols. Your strong research and development document writing ability will be a valuable asset. Knowledge of big data and cloud platforms, with preferred experience in development and design, will be beneficial. Experience in manufacturing projects, MES, WMS, QMS, and other related development is preferred. Familiarity with Nginx, InfluxDB, RabbitMQ technology will be a plus. As a team player, you should be proactive, responsible, and able to work under pressure. Mandatory skills include Microsoft .Net framework, full-stack developer expertise, and hands-on experience on MES stack development in a greenfield project. If you are prepared to embrace this exciting challenge and contribute to the success of Exide Energy Solutions Limited, we encourage you to apply now! Please note that this is a work-from-office opportunity located at Hi-tech Defence & Aerospace park, Phase II, Devanahalli, Channarayapatna, Bengaluru Rural, Karnataka, 562135. Working hours include the 1st and last Saturdays of the month.,

As a Senior Cloud Architect at Schneider Electric, you will be a key player in enhancing cloud capabilities and driving the integration of digital technologies within the global infrastructure, with a special focus on Azure. Your role will involve designing and implementing secure, scalable, and robust cloud architectures primarily for the built environment with timeseries data. You will lead the migration of legacy cloud infrastructures to modern platforms, ensuring seamless integration and minimal downtime. Supporting critical services like Kafka and Timeseries DB will be part of your responsibilities, along with enhancing the data and event pipeline across the stack. You will be responsible for architectural design aimed at unifying different offers into a single solution for Small and Mid-Size Buildings, developing and deploying microservices architectures, and actively participating in coding and development tasks when necessary. Managing the full deployment lifecycle from architecture design through integration and maintenance will also fall under your purview. Your role will entail guiding and mentoring teams in developing modern cloud solutions and fostering a collaborative and innovative work environment. To excel in this role, you are required to have 10-15 years of overall software engineering experience, including at least 5 years in an architect role for a cloud-based software product/platform, with a proven track record of deploying cloud solutions at a large scale supporting billions of data points per day. Your technical expertise must include expert knowledge of Microsoft Azure, strong experience in making cost-conscious architectural decisions, proficiency in Kafka, event-driven architecture, microservices, containerization, Kubernetes, and various databases like Redis, MongoDB, and Postgresql. Additionally, experience with timeseries databases, configurable dashboard platforms, Kafka Streams, building data pipelines, architecting data analytics systems, and CI/CD pipelines will be beneficial. Proficiency in programming languages such as Python, Java, and C# is essential. Hands-on experience with Atlassian Jira & Confluence Cloud, GitHub Enterprise, Azure DevOps, and working in Agile (Scrum/Kanban) and Scaled Agile (SAFe) modes is required. In terms of soft skills, you should possess excellent problem-solving abilities, strong communication skills, both verbal and written, the ability to present technical concepts to diverse audiences, good judgment, time management, decision-making skills, teamwork, and interpersonal skills. A willingness to work outside the documented job description and a "whatever is needed" attitude are also highly valued. To qualify for this position, you should hold a Bachelor's or Master's degree in computer science, Information Technology, or a related field, along with certifications such as Microsoft Certified: Azure Solutions Architect Expert or AWS Certified Solutions Architect Professional. Prior experience in the energy sector or industrial automation is advantageous. This is a full-time position based in Gurugram, Haryana. Stay informed about industry trends and advancements in cloud computing to ensure Schneider Electric remains at the forefront of technological innovation.,

3+ yrs of exp in a technical role focused on monitoring, observability, or systems administration. exp implementing and managing Grafana in a production environment is essential. Familiarity with various data sources commonly integrated with Grafana. Required Candidate profile Exp in leveraging ML and AI components for projections, Anomaly Detection, Grafana configuration, dashboard creation Exp in querying and visualizing data from at least one major time-series database

You will be joining eMeasurematics Pvt Ltd, a leading innovator in intelligent material handling and advanced automation solutions for large-scale manufacturing and warehousing facilities. Our commitment to pioneering autonomous systems and tailored automation solutions has enabled us to work with industry giants across the global steel, mega-manufacturing, and warehousing sectors. By harnessing cutting-edge data-driven models and robust engineering expertise, we empower businesses to enhance productivity and achieve operational excellence. As a forward-thinking leader in industrial automation, eMeasurematics is dedicated to revolutionizing the future of manufacturing through smart, sustainable, and transformative technologies. In our collaborative work environment that values innovation, teamwork, and continuous improvement, you will have access to training and mentorship opportunities to foster your professional growth. We are currently seeking talented database developers and professionals with a strong background in designing and implementing relational and non-relational databases. In this role, you will work closely with development teams in India and the U.S., analyze technical requirements, and engage in knowledge transfer and documentation sessions. If you possess expertise in database optimization, problem-solving, and ensuring seamless operations, we invite you to join us in driving innovation and efficiency in industrial automation. **Role & Responsibilities:** - Design and implement Mongo database solutions. - Proficiency in scripting stored procedures, functions, tables, views, cursors, constraints, triggers, and indexes. - Collaborate effectively with back-end and front-end developers. - Communicate technical implementation requirements and statuses to team members within specified timelines. - Analyze, design, coordinate development, and testing of technical solutions with core team members in the U.S. and India. - Participate in technical documentation, knowledge transfer, and training sessions by outlining designs and reviewing legacy DB usages for enhancements. - Provide solutions to database-related issues. - Manage multiple database installations, backups, and replications using appropriate tools and scripts. - Detailed knowledge of Docker. - Optimize database storage, queries, and retrieval methods. - Utilize tools or develop scripts to extract required data and statistical information from databases. - Proficiency in various diagrams such as flow charts and UML diagrams. **Qualifications:** - Demonstrated experience in MongoDB administration. - Strong background in data analysis, data retrieval from databases, and query optimization. - Proficient in writing and troubleshooting database scripts and queries. - Expertise in database administration tasks including installation, configurations, setup replication, and complete designing. - Experience with version control using GitHub. - Knowledge of PostgreSQL, MySQL, InfluxDB would be advantageous. - Familiarity with ETL tools like Apache Airflow would be beneficial. **Key Skills:** - Strong problem-solving abilities and attention to detail. - Excellent communication and collaboration skills.,

3+ yrs of exp in a technical role focused on monitoring, observability, or systems administration. exp implementing and managing Grafana in a production environment is essential. Familiarity with various data sources commonly integrated with Grafana. Required Candidate profile Exp in leveraging ML and AI components for projections, Anomaly Detection, Grafana configuration, dashboard creation Exp in querying and visualizing data from at least one major time-series database

The Microgrid business is core to Schneider Electric's strategy and is one of the pillars of its Sustainability, Digitization, and Electrification agenda. Microgrids play a crucial role in transforming the global energy landscape to create more cost-effective, sustainable, and resilient energy systems that support the global energy transition. The Microgrid Line of Business offers software, architectures, and necessary system components to enable Commercial and Industrial customers to design, build, operate, and maintain their distributed energy resources in grid-connected or off-grid modes. This empowers customers to achieve their energy sustainability, net-zero, and resilience objectives profitably. As a DevOps Expert in this role reporting to the R&D manager, you will collaborate with a global team comprising Product Owner, Local Team Leader, data scientist, and Software program manager. Your responsibilities include managing software solutions based on microservices architecture within a cross-technical team responsible for the full software development life cycle, from conception to deployment. You should feel at ease with front-end and back-end deployment, development frameworks, and microservices architecture, demonstrating a team-oriented approach, interest in software quality, and a focus on enhancing reliability. The project operates under Agile methodologies and the Scrum of Scrum framework. Your key responsibilities will involve ideating software solutions in an Agile@scale environment, designing client-side and server-side architecture, developing appealing visual designs for applications, managing databases and applications, creating effective APIs for third-party cloud solutions integration, conducting CI/CD testing, troubleshooting and upgrading software, implementing security and data protection settings, reviewing technical documentation, collaborating with architects and product owners to enhance software, mentoring the development team, and offering technical expertise on software topics. To be successful in this role, you should have technical credibility coupled with effective people management skills. You are expected to have proven experience as a Full Stack Developer/Expert/Specialist or similar role, along with knowledge of multiple front-end languages and libraries such as HTML/CSS, JavaScript, ReactJS, NodeJS, various back-end languages like Spring, Java, Python, familiarity with databases (e.g., MySQL, MongoDB, InfluxDB), web API (e.g., REST), and UI/UX design, understanding of microservices architecture and containerization (e.g., Docker, Kubernetes), excellent communication and teamwork skills, attention to detail, organizational skills, a degree in Computer Science, Statistics, or a relevant field, and familiarity with Agile processes and the Scrum of Scrum framework. This is a full-time position with the reference code: 009FK1.,

As a Backend Developer in Bangalore, India with 6 to 13 years of experience, you will collaborate with the development team to build and maintain scalable, secure, and high-performing back-end systems for SaaS products. Your key responsibilities will include designing and implementing microservices architectures, integrating databases, and ensuring seamless operation of cloud-based systems. Your main tasks will involve designing, developing, and maintaining robust and scalable back-end solutions using modern frameworks and tools. You will create, manage, and optimize microservices architectures to ensure efficient communication between services. Additionally, you will develop and integrate RESTful APIs to support front-end and third-party systems. Furthermore, you will be responsible for designing and implementing database schemas, optimizing performance for both SQL and NoSQL databases. Supporting deployment processes by aligning back-end development with CI/CD pipeline requirements and implementing security best practices such as authentication, authorization, and data protection are also crucial aspects of the role. Collaborating with front-end developers to ensure seamless integration of back-end services, monitoring and enhancing application performance, scalability, and reliability, as well as staying up-to-date with emerging technologies and industry trends to improve back-end systems are important responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, along with proven experience as a Back-End Developer. Expertise in modern frameworks such as Node.js, Express.js, or Django, proficiency in building and consuming RESTful APIs, and strong database design and management skills with both SQL and NoSQL databases are required. Hands-on experience with microservices architecture, containerization tools like Docker and Kubernetes, cloud platforms like Microsoft Azure, AWS, or Google Cloud, and security best practices are essential. Experience with CI/CD pipelines, Agile methodologies, time-series databases, monitoring solutions, real-time data processing frameworks, serverless architecture, business intelligence tools, API management platforms, AI/ML integration, MLOps pipelines, and iPaaS is a plus. Competencies and attributes that will set you up for success in this role include strong problem-solving and analytical skills, exceptional organizational skills, adaptability to evolving technologies, excellent collaboration and communication skills, and the ability to thrive in self-organizing teams with a focus on transparency and trust.,

Sarvaha would like to welcome a skilled Observability Engineer with a minimum of 3 years of experience to contribute to designing, deploying, and scaling our monitoring and logging infrastructure on Kubernetes. In this role, you will play a key part in enabling end-to-end visibility across cloud environments by processing Petabyte data scales, helping teams enhance reliability, detect anomalies ea rly, and drive operational excellence. What Youll Do Configure and manage observability agents across AWS, Azure & GCP Use IaC techniques and tools such as Terraform, Helm & GitOps, to automate deployment of Observability stack Experience with different language stacks such as Java, Ruby, Python and Go Instrument services using OpenTelemetry and integrate telemetry pipelines Optimize telemetry metrics storage using time-series databases such as Mimir & NoSQL DBs Create dashboards, set up alerts, and track SLIs/SLOs Enable RCA and incident response using observability data Secure the observability pipeline You Bring BE/BTech/MTech (CS/IT or MCA), with an emphasis in Software Engineering Strong skills in reading and interpreting logs, metrics, and traces Proficiency with LGTM (Loki, Grafana, Tempo, Mimi) or similar stack, Jaeger, Datadog, Zipkin, InfluxDB etc. Familiarity with log frameworks such as log4j, lograge, Zerolog, loguru etc. Knowledge of OpenTelemetry, IaC, and security best practices Clear documentation of observability processes, logging standards & instrumentation guidelines Ability to proactively identify, debug, and resolve issues using observability data Focused on maintaining data quality and integrity across the observability pipeline.

Sarvaha would like to welcome a skilled Observability Engineer with a minimum of 3 years of experience to contribute to designing, deploying, and scaling our monitoring and logging infrastructure on Kubernetes . In this role, you will play a key part in enabling end-to-end visibility across cloud environments by processing Petabyte data scales, helping teams enhance reliability, detect anomalies e arly, and drive operational excellence. Sarvaha is a niche software development company that works with some of the best funded startups and established companies across the globe. Please visit our website at What Youll Do Configure and manage observability agents across AWS, Azure & GCP Use IaC techniques and tools such as Terraform, Helm & GitOps, to automate deployment of Observability stack Experience with different language stacks such as Java, Ruby, Python and Go Instrument services using OpenTelemetry and integrate telemetry pipelines Optimize telemetry metrics storage using time-series databases such as Mimir & NoSQL DBs Create dashboards, set up alerts, and track SLIs/SLOs Enable RCA and incident response using observability data Secure the observability pipeline You Bring BE/BTech/MTech (CS/IT or MCA), with an emphasis in Software Engineering Strong skills in reading and interpreting logs, metrics, and traces Proficiency with LGTM (Loki, Grafana, Tempo, Mimi) or similar stack, Jaeger, Datadog, Zipkin, InfluxDB etc. Familiarity with log frameworks such as log4j, lograge, Zerolog, loguru etc. Knowledge of OpenTelemetry, IaC, and security best practices Clear documentation of observability processes, logging standards & instrumentation guidelines Ability to proactively identify, debug, and resolve issues using observability data Focused on maintaining data quality and integrity across the observability pipeline

We are seeking a highly skilled and experienced Senior Full Stack Developer to join our dynamic team. The ideal candidate will be proficient in both front-end and back-end technologies and capable of leading the design, development, and maintenance of scalable web applications. Key Responsibilities: Design and develop robust and scalable web applications using modern frameworks and technologies. Lead the full software development lifecycle from requirements gathering to deployment and maintenance. Collaborate with cross-functional teams including product managers, designers, and QA engineers. Optimize applications for maximum speed and scalability. Ensure code quality through test-driven development and code reviews. Stay current with emerging technologies and best practices. Key Skills & Technologies: Frontend Development: React.js, JavaScript, Next.js Backend Development: Node.js, NestJS Databases: MongoDB Other Technologies: Redis, Kafka, InfluxDB, WebSocket Additional Skills: Typescript, Architectural Design Preferred (but not required) Skills: Experience with Blockchain and Cryptocurrency technologies Knowledge of Artificial Intelligence concepts and applications Requirements: 5+ years of experience in full stack development. Strong problem-solving skills and attention to detail. Proven experience with RESTful APIs and modern application architectures. Excellent communication skills and the ability to mentor junior developers.

We are seeking a highly skilled and experienced Senior Full Stack Developer to join our dynamic team. The ideal candidate will be proficient in both front-end and back-end technologies and capable of leading the design, development, and maintenance of scalable web applications. Key Responsibilities: Design and develop robust and scalable web applications using modern frameworks and technologies. Lead the full software development lifecycle from requirements gathering to deployment and maintenance. Collaborate with cross-functional teams including product managers, designers, and QA engineers. Optimize applications for maximum speed and scalability. Ensure code quality through test-driven development and code reviews. Stay current with emerging technologies and best practices. Key Skills & Technologies: Frontend Development: React.js, JavaScript, Next.js Backend Development: Node.js, NestJS Databases: MongoDB Other Technologies: Redis, Kafka, InfluxDB, WebSocket Additional Skills: Typescript, Architectural Design Preferred (but not required) Skills: Experience with Blockchain and Cryptocurrency technologies Knowledge of Artificial Intelligence concepts and applications Requirements: 5+ years of experience in full stack development. Strong problem-solving skills and attention to detail. Proven experience with RESTful APIs and modern application architectures. Excellent communication skills and the ability to mentor junior developers.

3+ yrs of exp in a technical role focused on monitoring, observability, or systems administration. exp implementing and managing Grafana in a production environment is essential. Familiarity with various data sources commonly integrated with Grafana. Required Candidate profile Exp in leveraging ML and AI components for projections, Anomaly Detection, Grafana configuration, dashboard creation Exp in querying and visualizing data from at least one major time-series database

We are looking for someone who is enthusiastic and proud about their work, who wants to be part of a successful and growing team. The ideal candidate would be a self-starter who is able to work both independently as well as part of a team. You will collaborate closely with the development and management teams to fully understand product and project requirements. You are expected to contribute actively to the design and implementation of ideas throughout the project's lifecycle. Your role will involve delivering with excellence the development and execution of test plans, project documentation, and product releases while complying with SDLC best practices. It is essential to take accountability for assigned work and ensure on-time delivery throughout the entire project's duration. You should be able to accept and deliver on challenging development assignments of back-end solutions while seeking expert advice or consulting other sources as needed. As a Backend Engineer specializing in Node.js, you should have 5 to 7 years of experience and be available to start immediately. Your responsibilities will include extensive experience in programming using Node.JS utilizing TypeScript / JavaScript and implementing third party libraries. You should also have experience with GIT, CI/CD solutions, standards, and implementations, as well as a basic understanding/experience with the NEST.JS Framework. A deep understanding of time-series, document store, key-value store, and relational databases is required, along with experience working with databases such as MongoDB and Redis, Redis TS, Redis Graph. You must have experience in working with and designing REST APIs, and creating documentation using OpenAPI. A solid understanding of microservices architecture, design, and deployment at scale using Docker/Kubernetes is essential, as well as experience in working with both at-rest and in-motion data. Understanding of Pub-Sub architecture and patterns using technologies such as RabbitMQ, Kafka, MQTT is necessary. You should also be familiar with commonly used communication protocols such as TCP, UDP, SSH, and Websockets, and have experience working with OAUTH 2.0 solutions such as Auth0 or Keycloak. A basic understanding of how React frontend projects work is also required. Desired skills include experience designing scalable distributed systems leveraging reference architectures and best practices, working with IoT devices, technologies, and standards, and other database technologies such as Elastic and InfluxDB. Experience with regulatory compliance (CCPA, GDPR), a solid foundation of Linux and Windows Server experience, and experience with basic networking component design and implementation such as VPN, load balancing, and proxies would be beneficial for this role.,

Design/implement/configure Grafana dashboards & visualizations Integrate Grafana with diverse data sources (Prometheus,InfluxDB), logging systems (Elasticsearch,Loki) & APM tools Develop & maintain Grafana data source plugins Troubleshoot issues Required Candidate profile Experience in implementing & managing Grafana in a production environment Familiarity with data sources commonly integrated with Grafana Experience in leveraging ML/AI components for Anomaly Detection

3+ yrs of exp in a technical role focused on monitoring, observability, or systems administration. exp implementing and managing Grafana in a production environment is essential. Familiarity with various data sources commonly integrated with Grafana. Required Candidate profile Exp in leveraging ML and AI components for projections, Anomaly Detection, Grafana configuration, dashboard creation Exp in querying and visualizing data from at least one major time-series database

3+ yrs of exp in a technical role focused on monitoring, observability, or systems administration. exp implementing and managing Grafana in a production environment is essential. Familiarity with various data sources commonly integrated with Grafana. Required Candidate profile Exp in leveraging ML and AI components for projections, Anomaly Detection, Grafana configuration, dashboard creation Exp in querying and visualizing data from at least one major time-series database