54 Influxdb Jobs - Page 2

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. The duties of a Site Reliability Engineer will be to support and maintain various Cloud Infrastructure Technology Tools in our hosted production/DR environments. He/she will be the subject matter expert for specific tool(s) or monitoring solution(s). Will be responsible for testing, verifying and implementing upgrades, patches and implementations. He/She will also partner with the other service and/or service functions to investigate and/or improve monitoring solutions. May mentor one or more tools team members or provide training to other cross functional teams as required. May motivate, develop, and manage performance of individuals and teams while on shift. May be assigned to produces regular and adhoc management reports in a timely manner. Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure.Bachelor's Degree in information systems or Computer Science or related discipline with relevant experience of 5-8 years Proficient in Splunk/ELK, and Datadog. Experience with Enterprise Software Implementations for Large Scale Organizations Exhibit extensive experience about the new technology trends prevalent in the market like SaaS, Cloud, Hosting Services and Application Management Service Monitoring tools like Grafana, Prometheus, Datadog, Experience in deployment of application & infrastructure clusters within a Public Cloud environment utilizing a Cloud Management Platform Professional and positive with outstanding customer-facing practices "Can-do" attitude, willing to go the extra mile Consistently follows-up and follows-through on delegated tasks and actions Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! in the Application and Interview Process UKGCareers@ukg.com

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. Site Reliability Engineers at UKG are team members that have a breadth of knowledge encompassing all aspects of service delivery. They develop software solutions to enhance, harden and support our service delivery processes. This can include building and managing CI/CD deployment pipelines, automated testing, capacity planning, performance analysis, monitoring, alerting, chaos engineering and auto remediation. Site Reliability Engineers must have a passion for learning and evolving with current technology trends. They strive to innovate and are relentless in their pursuit of a flawless customer experience. They have an "automate everything" mindset, helping us bring value to our customers by deploying services with incredible speed, consistency and availability. Primary/Essential Duties and Key Responsibilities: Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure. Engage in and improve the lifecycle of services from conception to EOL, includingsystem design consulting, and capacity planning Define and implement standards and best practices related toSystem Architecture, Service delivery, metrics and the automation of operational tasks Support services, product & engineering teams by providing common tooling and frameworks to deliver increased availability and improved incident response. Improve system performance, application delivery and efficiency through automation, process refinement, postmortem reviews, and in-depth configuration analysis Collaborate closely with engineering professionals within the organization to deliver reliable services Identify and eliminate operational toil by treating operational challenges as a software engineering problem Actively participate in incident response, including on-call responsibilities Partner with stakeholders to influence and help drive the best possible technical and business outcomes Guide junior team members and serve as a champion for Site Reliability Engineering Engineering degree, or a related technical discipline, and 10+years of experience in SRE. Experience coding in higher-level languages (e.g., Python, Javascript, C++, or Java) Knowledge of Cloud based applications & Containerization Technologies Demonstrated understanding of best practices in metric generation and collection, log aggregation pipelines, time-series databases, and distributed tracing Ability to analyze current technology utilized and engineering practices within the company and develop steps and processes to improve and expand upon them Working experience with industry standards like Terraform, Ansible. (Experience, Education, Certification, License and Training) Must have hands-on experience working within Engineering or Cloud. Experience with public cloud platforms (e.g. GCP, AWS, Azure) Experience in configuration and maintenance of applications & systems infrastructure. Experience with distributed system design and architecture Experience building and managing CI/CD Pipelines Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation UKGCareers@ukg.com

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. The duties of a Site Reliability Engineer will be to support and maintain various Cloud Infrastructure Technology Tools in our hosted production/DR environments. He/she will be the subject matter expert for specific tool(s) or monitoring solution(s). Will be responsible for testing, verifying and implementing upgrades, patches and implementations. He/She will also partner with the other service and/or service functions to investigate and/or improve monitoring solutions. May mentor one or more tools team members or provide training to other cross functional teams as required. May motivate, develop, and manage performance of individuals and teams while on shift. May be assigned to produces regular and adhoc management reports in a timely manner. Proficient in Splunk/ELK, and Datadog. Experience with observability tools such as Prometheus/InfluxDB, and Grafana. Possesses strong knowledge of at least one scripting language such as Python, Bash, Powershell or any other relevant languages. Design, develop, and maintain observability tools and infrastructure. Collaborate with other teams to ensure observability best practices are followed. Develop and maintain dashboards and alerts for monitoring system health. Troubleshoot and resolve issues related to observability tools and infrastructure.Bachelor's Degree in information systems or Computer Science or related discipline with relevant experience of 5-8 years Proficient in Splunk/ELK, and Datadog. Experience with Enterprise Software Implementations for Large Scale Organizations Exhibit extensive experience about the new technology trends prevalent in the market like SaaS, Cloud, Hosting Services and Application Management Service Monitoring tools like Grafana, Prometheus, Datadog, Experience in deployment of application & infrastructure clusters within a Public Cloud environment utilizing a Cloud Management Platform Professional and positive with outstanding customer-facing practices "Can-do" attitude, willing to go the extra mile Consistently follows-up and follows-through on delegated tasks and actions Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! in the Application and Interview Process UKGCareers@ukg.com

We are seeking a skilled Database Specialist with strong expertise in Time-Series Databases, specifically Loki for logs, InfluxDB, and Splunk for metrics. The ideal candidate will have a solid background in query languages, Grafana, Alert Manager, and Prometheus. This role involves managing and optimizing time-series databases, ensuring efficient data storage, retrieval, and visualization. Key Responsibilities: Design, implement, and maintain time-series databases using Loki, InfluxDB, and Splunk to store and manage high-velocity time-series data. Develop efficient data ingestion pipelines for time-series data from various sources (e.g., IoT devices, application logs, metrics). Optimize database performance for high write and read throughput, ensuring low latency and high availability. Implement and manage retention policies, downsampling, and data compression strategies to optimize storage and query performance. Collaborate with DevOps and infrastructure teams to deploy and scale time-series databases in cloud or on-premise environments. Build and maintain dashboards and visualization tools (e.g., Grafana) for monitoring and analyzing time-series data. Troubleshoot and resolve issues related to data ingestion, storage, and query performance. Work with development teams to integrate time-series databases into applications and services. Ensure data security, backup, and disaster recovery mechanisms are in place for time-series databases. Stay updated with the latest advancements in time-series database technologies and recommend improvements to existing systems. Key Skills: Strong expertise in Time-Series Databases with Loki (for logs), InfluxDB, and Splunk (for metrics).

Job Description: Mandatory Skills: Design, develop, and maintain Grafana dashboards to visualize data from applications developed with Go lang, Flutter, and Python, etc Integrate Grafana with various data sources, including Prometheus, InfluxDB, Elasticsearch, and other relevant systems Good to have Skills : Database Knowledge: Strong understanding of Elasticsearch and other databases. Core Java Knowledge: Basic knowledge of Core Java is a plus. CI/CD Processes: Experience with Continuous Integration/Continuous Deployment (CI/CD) processes is beneficial. Detailed JD Position Overview: We are seeking a skilled Grafana Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining Grafana dashboards to visualize operational and business data. This role requires a deep understanding of data integration, performance optimization, and user-centric design . Key Responsibilities: Design, develop, and maintain Grafana dashboards to visualize data from applications developed with Go lang, Flutter, and Python. Integrate Grafana with various data sources, including Prometheus, InfluxDB, Elasticsearch, and other relevant systems Performance Optimization: Optimize dashboards for performance, scalability, and real-time insights. Stakeholder Collaboration: Work closely with stakeholders to understand their data visualization requirements and ensure dashboards meet their needs. User-Friendly Design: Ensure dashboards are user-friendly, intuitive, and aligned with organizational goals. Required Skills: Grafana Expertise: Proven experience with Grafana and other data visualization tools. Data Integration: Proficiency in integrating various data sources into Grafana. Database Knowledge: Strong understanding of Elasticsearch and other databases. Core Java Knowledge: Basic knowledge of Core Java is a plus. CI/CD Processes: Experience with Continuous Integration/Continuous Deployment (CI/CD) processes is beneficial. Preferred Qualifications: Experience: 6-8 years of experience in software development. Real-Time Monitoring: Familiarity with real-time monitoring solutions. Team Collaboration: Ability to work effectively as part of a cross-functional team

Mandatory Skills : Design, develop, and maintain Grafana dashboards to visualize data from applications developed with Go lang, Flutter, and Python, etc Integrate Grafana with various data sources, including Prometheus, InfluxDB, Elasticsearch, and other relevant systems Good to have Skills : Database Knowledge: Strong understanding of Elasticsearch and other databases. Core Java Knowledge: Basic knowledge of Core Java is a plus. CI/CD Processes: Experience with Continuous Integration/Continuous Deployment (CI/CD) processes is beneficial. Role & responsibilities

Experience : 6+ years Shift : (GMT+05:30) Asia/Kolkata (IST) Must have Skills required: SOLID, TDD, SQL, Aerospike, Redis, Datadog, Elasticsearch, Java, Springboot, CI/CD, Jenkin, Jenkins, BuildKite, Docker, Kubernates What Youll Do: Partner with your business stakeholders to provide them with transparency, data, and resources to make informed decisions Be a technical leader within and across the teams you work with. Drive high impact architectural decisions and hands-on development, including inception, design, execution, and delivery following good design and coding practices. Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation and proactive troubleshooting. Identify risks and gaps in technical approaches and propose solutions to meet team and project goals. Create proposals and action plans to garner support across the organization. Influence and contribute to the teams strategy and roadmap. Tenacity for learning - curious, and constantly pushing the boundary of what is possible. We Are a Match Because You Have: 6-9 years of experience in backend software engineering architecting and implementing robust, distributed web applications Bachelors degree in Computer Science, Computer Engineering or equivalent combination of education and experience Track-record of technical leadership for teams following software development best practices (e.g. SOLID, TDD, GRASP, YAGNI, etc). Track-record of being a hands-on developer efficiently building technically sound systems. Experience building web services with java and springboot. Experience with Continuous Integration (CI/CD) practices and tools (Buildkite, Jenkins, etc.). Experience architecting solutions leveraging distributed infrastructure (e.g. Docker, Kubernetes, etc). Experience with Microsoft SQL Server, Aerospike, Redis. Experience leveraging monitoring and logging technologies (e.g. DataDog, Elasticsearch, InfluxDB, etc). Skills SOLID, TDD, SQL, Aerospike, Redis, Datadog, Elasticsearch, Java, Springboot, CI/CD, Jenkin, Jenkins, BuildKite, Docker, Kubernates

React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST APIs. BS or MS in Computer Science or related field. Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design. Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap. Improve codebase with continuous refactoring. Self-starter to take ownership of the platform engineering and application development. Work on multiple projects simultaneously and get things done. Take products from prototype to production. Collaborate with team in Sunnyvale, CA to lead 24x7 product development. Bonus: If you have worked on one or more below then highlight those projects when applying: Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack Experience with visualization tools like Tableau, KeplerGL etc. Experience with MQTT or other IoT communication protocols a plus

Date 18 Jun 2025 Location: Hyderabad, TG, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your software engineering expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a pivotal role in designing and developing software solutions that power the future of mobility. Day-to-day, youll work closely with teams across the business (engineering, product management, and quality assurance), lead architecture design reviews, and optimize software performance, among other responsibilities. Youll specifically take care of creating robust software architectures for desktop applications, but also ensure seamless integration with communication protocols and databases. Well look to you for: Designing and implementing scalable software architectures for transportation systems Leading software development projects and ensuring high-quality deliverables Collaborating with cross-functional teams to define technical requirements Optimizing software performance and refactoring code as needed Ensuring compliance with agile development practices Mentoring junior developers and fostering a culture of continuous learning All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering degree in Computer Science, Software Engineering, or a related field (Masters degree is a plus) Proven experience as a Software Architect with a strong portfolio of successful projects Proficiency in Python and C programming languages Knowledge of communication protocols (Ethernet, TCP/IP, UDP, NTP, etc.) Understanding of software development methodologies and lifecycle Familiarity with version control systems, such as Git Knowledge of user interface design principles for desktop applications Experience in performance optimization and code refactoring Experience with railway signaling software or other transportation-related systems (desirable) Knowledge of databases (MySQL, InfluxDB, MongoDB, NoSQL, Prometheus, RethinkDB, or Redis) and communication protocols (Profibus or Modbus) is a plus Strong problem-solving skills and ability to think critically and independently Excellent English communication skills, both written and verbal Ability to work effectively in a collaborative team environment and lead projects autonomously Detail-oriented with a commitment to delivering high-quality software solutions Ability to work with remote collaborators Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our inclusive and agile working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership roles or specialized technical expertise Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

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.

Execute performance tests using LRE, JMeter; analyze and report system bottlenecks for enterprise apps. Required Candidate profile Experienced performance tester with LoadRunner, JMeter, Citrix, SAP GUI protocol and cloud monitoring expertise.

Develop backend services with Node.js, JavaScript, & Golang. Design and implement APIs (RESTful, gRPC, socket.io).Build scalable microservices using MVC architecture.Manage SQL and NoSQL databases. Ensure high performance and security (OAuth, JWT).

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensembles AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise. As a Full Stack/IOT Intern, you will be participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform. Required Skills & Experience: React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST APIs. BS or MS in Computer Science or related field. Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design. Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap. Improve codebase with continuous refactoring. Self-starter to take ownership of the platform engineering and application development. Work on multiple projects simultaneously and get things done. Take products from prototype to production. Collaborate with team in Sunnyvale, CA to lead 24x7 product development. Bonus: If you have worked on one or more below then highlight those projects when applying: Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack Experience with visualization tools like Tableau, KeplerGL etc. Experience with MQTT or other IoT communication protocols a plus

About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Job Description Collaborate with stakeholders to understand performance requirements for applications. Design and develop a comprehensive performance testing strategy aligned with project goals for implementing Transformation solutions. Propose and implement Transformation solutions covering Performance engineering and AI driven testing Walkthrough of the prototype/demos to client and get an alignment from on the client on the ideas. Provide technical guidance and mentorship to PT team on technical challenges and issues Track status of each transformation Themes as part of the roadmap across all applications, identify potential issues upfront and ensure schedule and quality are not impacted. Stay up-to-date with the latest technology trends and advancements. Evaluate and recommend technology stacks, frameworks, and tools. Collaborate with product owners, business analysts, and development teams to understand requirements, assess and provide transformation solutions in Performance engineering area Proficient in Grafana, Prometheus, JMeter, Loadrunner, Dynatrace , Python, InfluxDB, Azure, AKS Excellent communication, collaboration, and problem-solving skills. Ability to lead and influence technical discussions. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

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

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

Data Analyst Location: Bangalore Experience: 8 - 15 Yrs Type: Full-time Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

Data Engineer Location: Bangalore - Onsite Experience: 8 - 15 years Type: Full-time Role Overview We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases. Key Responsibilities Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation. Develop data models and manage data lakes and warehouses (Delta Lake, Iceberg, etc) to support both analytical and ML workloads. Integrate data from diverse sources: IoT sensors, databases (SQL/NoSQL), REST APIs, and flat files. Ensure pipeline scalability, observability, and data quality through monitoring, alerting, validation, and lineage tracking. Collaborate with AI/ML teams to provision clean and ML-ready datasets for training and inference. Deploy, optimize, and manage pipelines and data infrastructure across on-premise and hybrid environments. Participate in architectural decisions to ensure resilient, cost-effective, and secure data flows. Contribute to infrastructure-as-code and automation for data deployment using Terraform, Ansible, or similar tools. Qualifications & Required Skills Bachelors or Master’s in Computer Science, Engineering, or related field. 6+ years in data engineering roles, with at least 2 years handling real-time or streaming pipelines. Strong programming skills in Python/Java and SQL. Experience with Apache Kafka, Apache Spark, or Apache Flink for real-time and batch processing. Hands-on with Airflow, dbt, or other orchestration tools. Familiarity with data modeling (OLAP/OLTP), schema evolution, and format handling (Parquet, Avro, ORC). Experience with hybrid/on-prem and cloud platforms (AWS/GCP/Azure) deployments. Proficient in working with data lakes/warehouses like Snowflake, BigQuery, Redshift, or Delta Lake. Knowledge of DevOps practices, Docker/Kubernetes, Terraform or Ansible. Exposure to data observability, data cataloging, and quality tools (e.g., Great Expectations, OpenMetadata). Good-to-Have Experience with time-series databases (e.g., InfluxDB, TimescaleDB) and sensor data. Prior experience in domains such as aviation, manufacturing, or logistics is a plus. Role & responsibilities Preferred candidate profile

Minimum of 5+ years of DevOps tools. Strong hands-on experience with Grafana, InfluxDB for monitoring and visualization. Experience the ETL tools like : Pentaho, Apache Hop. Experience with the visualization tools like : Grafana. Solid experience in Shell and Python scripting for automation. Experience in the Telco industry. Skills required Program languages: Python (Must). Databases: MySQL, Influxdb, Hive (big data (Must)) Server Ops: Management of Redhat Linux/Centos7, Flatcar (Must) Containerization and container platforms: Docker, Docker-compose (Must) Scripting: JavaScript, Shell, Bash (Must) • Monitoring tools: Grafana. (Must), tableau (Nice) Big data tools: (Nice). • DevOps/Design Tools : Draw io., JIRA, Confluence. • Software Management Tools: Maven (Nice) • CI/CD: Bitbucket, GitLab, Jenkins.

Urgent Requirement for Grafana, Employment:C2H Notice Period:Immediate We are seeking a skilled Database Specialist with strong expertise in Time-Series Databases, specifically Loki for logs, InfluxDB, and Splunk for metrics. The ideal candidate will have a solid background in query languages, Grafana, Alert Manager, and Prometheus. This role involves managing and optimizing time-series databases, ensuring efficient data storage, retrieval, and visualization. Key Responsibilities: Design, implement, and maintain time-series databases using Loki, InfluxDB, and Splunk to store and manage high-velocity time-series data. Develop efficient data ingestion pipelines for time-series data from various sources (e.g., IoT devices, application logs, metrics). Optimize database performance for high write and read throughput, ensuring low latency and high availability. Implement and manage retention policies, downsampling, and data compression strategies to optimize storage and query performance. Collaborate with DevOps and infrastructure teams to deploy and scale time-series databases in cloud or on-premise environments. Build and maintain dashboards and visualization tools (e.g., Grafana) for monitoring and analyzing time-series data. Troubleshoot and resolve issues related to data ingestion, storage, and query performance. Work with development teams to integrate time-series databases into applications and services. Ensure data security, backup, and disaster recovery mechanisms are in place for time-series databases. Stay updated with the latest advancements in time-series database technologies and recommend improvements to existing systems. Key Skills: Strong expertise in Time-Series Databases with Loki (for logs), InfluxDB, and Splunk (for metrics).

We are looking for "Sr. IOT Engineer / SME" with Minimum 8 years experience Contact- Atchaya (95001 64554) Required Candidate profile Basic understanding of IoT data routing Experience with databases and storage systems like: InfluxDB, PostgreSQL, Redis Strong knowledge in Azure and Azure Kubernetes Service (AKS)

Job Summary: We are looking for a Machine Learning Engineer with strong data engineering capabilities to support the development and deployment of predictive models in a smart manufacturing environment. This role involves building robust data pipelines, developing high-accuracy ML models for defect prediction, and implementing automated control systems for real-time corrective actions on the production floor. Key Responsibilities: Data Engineering & Integration: Validate and ensure the correct flow of data from Influx DB/CDL to Smart box/Databricks. Assist data scientists in the initial modeling phase through reliable data provisioning. Provide ongoing support for data pipeline corrections and ad-hoc data extraction. ML Model Development for Defect Prediction: Develop 3 separate ML models for predicting 3 types of defects based on historical data. Predict defect occurrence within a 5-minute window using: Artificial sampling techniques Dimensionality reduction Deliver results with: Accuracy 95% Precision & recall 80% Feature importance insights Closed-Loop Control System Implementation: Prescribe machine setpoint changes based on model outputs to prevent defect occurrence. Design and implement a closed-loop system that includes: Real-time data fetching from production line PLCs (via Influx DB/CDL). Deployment of ML models on Smart box. Pipeline to output recommendations to the appropriate PLC tag. Retraining pipeline triggered by drift detection (cloud-based retraining when recommendations deviate from centerlines). Qualifications: Education: Bachelor's or Masters degree in Computer Science, Data Science, Electrical Engineering, or related field. Technical Skills: Proficient in Python and ML libraries (e.g., scikit-learn, XG Boost, pandas) Experience with: Influx DB and CDL for industrial data integration Smart box and Databricks for model deployment and data processing Real-time data pipelines and industrial control systems (PLCs) Model performance tracking and retraining pipelines Preferred: Experience in manufacturing analytics or predictive maintenance Familiarity with Industry 4.0 principles and edge/cloud hybrid architectures Soft Skills: Strong analytical and problem-solving abilities Effective communication with cross-functional teams (data science, automation, production) Attention to detail and focus on solution reliability

Job Overview: We are seeking a skilled and proactive Machine Learning Engineer to join our smart manufacturing initiative. You will play a pivotal role in building data pipelines, developing ML models for defect prediction, and implementing closed-loop control systems to improve production quality. Responsibilities: Data Engineering & Pipeline Support: Validate and ensure correct data flow from Influx DB/CDL to Smart box/Databricks platforms. Collaborate with data scientists to support model development through accurate data provisioning. Provide ongoing support in resolving data pipeline issues and performing ad-hoc data extractions. ML Model Development: Develop three distinct ML models to predict different types of defects using historical production data. Predict short-term outcomes (next 5 minutes) using techniques like artificial sampling and dimensionality reduction. Ensure high model performance: Accuracy 95%, Precision & Recall 80%. Extract and present feature importance to support model interpretability. Closed-loop Control Architecture: Implement end-to-end ML-driven automation to proactively correct machine settings based on model predictions. Key architecture components include: Real-time data ingestion from PLCs via Influx DB/CDL. Model deployment and inference on Smart box. Output pipeline to share actionable recommendations via PLC tags. Automated retraining pipeline in the cloud triggered by model drift or recommendation deviations. Qualifications: Proven experience with real-time data streaming from industrial systems (PLCs, Influx DB/CDL). Hands-on experience in building and deploying ML models in production. Strong understanding of data preprocessing, dimensionality reduction, and synthetic data techniques. Familiarity with cloud-based retraining workflows and model performance monitoring. Experience in smart manufacturing or predictive maintenance is a plus.

Dear Candidate, We are hiring a Rust Developer to build safe, concurrent, and high-performance applications for system-level or blockchain development. Key Responsibilities: Develop applications using Rust and its ecosystem (Cargo, Crates) Write memory-safe and zero-cost abstractions for systems or backends Build RESTful APIs, CLI tools, or blockchain smart contracts Optimize performance using async/await and ownership model Ensure safety through unit tests, benchmarks, and fuzzing Required Skills & Qualifications: Proficient in Rust , lifetimes , and borrowing Experience with Tokio , Actix , or Rocket frameworks Familiarity with WebAssembly , blockchain (e.g. Substrate) , or embedded Rust Bonus: Background in C/C++ , systems programming, or cryptography Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

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. Why Join Us? Work with a forward-thinking, innovative team. Competitive salary and benefits. Opportunities for growth and learning.