Crop Health Monitoring Jobs in Bengaluru

Business Finance Location: Bengaluru Department: Finance Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). Headquartered in Bengaluru, Dozee is India s #1 RPM company, transforming healthcare delivery at scale. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s solutions continuously monitor patients, detect early signs of clinical deterioration, and enable timely interventions. Role Overview We are looking for a high-impact Business Finance professional to partner closely with business leaders and drive financial discipline, strategic decision-making, and sustainable growth. This role offers a unique opportunity to work at the intersection of finance, strategy, and healthcare innovation in a fast-growing AI health-tech company. Key Responsibilities Business Partnership & Strategic Decision Support Partner with Sales, Operations, and cross-functional teams to drive commercial success and financial discipline. Lead pricing strategy, customer-level profitability analysis, and financial modelling for new products and services. Evaluate business cases for expansion, partnerships, and large strategic deals. Participate in strategic discussions, providing financial insights and risk assessment. FP&A, Budgeting & Reporting Lead the annual operating plan and rolling forecasts in collaboration with functional leaders. Track performance against budgets, prepare variance analysis, and identify risks. Own monthly and quarterly management reporting, including key financial and operational KPIs. Revenue & Cost Optimisation Monitor and improve gross margins, unit economics, and CAC/LTV metrics. Drive initiatives to optimize costs, improve working capital, and support EBITDA targets. Identify opportunities for automation and process improvements in tracking. Requirements Experience & Qualifications 2 4 years of relevant experience in Business Finance, FP&A, or Commercial Finance. CA (Qualified/Semi-qualified), MBA, or CFA preferred. Skills Strong analytical, financial modelling, and stakeholder management skills. Proficiency in Excel, Google Sheets, and BI tools. Experience with pricing and margin analysis in a SaaS or recurring revenue environment is a plus. Personal Attributes Business-oriented, proactive, and detail-focused. Comfortable working in a fast-paced, evolving environment. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Opportunity to influence strategic decisions in a high-growth Series A+ organization. Collaborative culture with a strong focus on innovation and impact. Qualification : CA (Qualified/Semi-qualified), MBA, or CFA preferred

ERP Engineer Location: Bengaluru Department: Hardware Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS), driving transformation in healthcare at scale. Headquartered in Bengaluru, Dozee has quickly emerged as India s #1 RPM company. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s innovative solutions enhance patient safety, improve outcomes, and reduce costs. We aim to Save a Million Lives with Health AI. Role Overview We are looking for an ERP Engineer to manage and optimize Microsoft Dynamics ERP modules, ensuring seamless performance and data integrity across our systems. You will work alongside technical and business teams to implement customizations and integrations that enhance our operational efficiency and scalability. Key Responsibilities ERP Management & Customization Manage and maintain Microsoft Dynamics ERP modules to ensure system stability and optimal performance. Develop and deploy customizations, workflows, and process automations that align with business needs. Integrate ERP with internal systems (CRM, HRMS, Finance) and third-party applications using APIs and data connectors. Collaboration & Implementation Collaborate with cross-functional teams to analyze business requirements and design ERP solutions. Conduct testing, document new features, and support system enhancements. Provide troubleshooting and technical support to ensure minimal system downtime. Training & Optimization Lead end-user training and create user manuals for smooth ERP adoption. Monitor system performance, suggest improvements, and optimize ERP configurations. Work with stakeholders to enhance ERP processes in finance, procurement, inventory, and production. Requirements Experience & Qualifications 3 5 years of hands-on experience with ERP management, customization, and integration. Specific experience with Microsoft Dynamics 365 Business Central / Dynamics NAV is preferred. Bachelor s or Master s degree in a relevant field. Skills Strong understanding of ERP architecture, data structures, and business workflows. Experience with integration tools and middleware such as Azure Integration Services or Power Automate. Familiarity with project management tools like JIRA, Confluence, or Asana. Personal Attributes Strong analytical and problem-solving abilities with high attention to detail. Excellent communication skills and the ability to collaborate with multiple stakeholders. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Work with top healthcare providers and cutting-edge technology. Opportunity to drive impactful change in a high-growth, fast-paced environment. Qualification : Bachelors or Masters degree in a relevant field

Position: AGV Technical Specialist Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities AGV Design & Development Lead the design and development of AGV systems, including electrical, electronics, and navigation systems. Design, implement, and troubleshoot **line follower, inductive, RFID, and SLAM (LiDAR)** based navigation systems. Develop and apply communication protocols for **multi-AGV coordination**. Component Selection & Interface Select and interface **safety PLCs, standard PLCs, area scanners, servo motors**, and other AGV components. Hands-on experience with the programming and integration of various hardware components in AGV systems. AGV System Architecture Design and implement **multi-AGV architecture**, ensuring scalability and efficiency. Independently manage AGV platform functions such as **scheduling, health monitoring, and fault management**. Optimize the AGV platform to meet specifications and performance requirements while exploring innovative solutions for indigenization. Peripheral Equipment Integration Manage the integration of peripheral equipment with AGVs and ensure seamless communication. End-to-End Responsibility Oversee the complete AGV design and deployment lifecycle from the control perspective. Ensure the full transition from requirements design to commercial deployment, including coding, testing, and debugging system software. Review and validate new product designs and provide post-production support. Innovation & Documentation Apply innovative design thinking to develop and document AGV solutions. Create layouts, drawings, and implement designs through software or web portals. Prepare and review BOMs, wiring diagrams, and cost estimates for AGV solutions. Skills & Expertise Core Skills Vehicle control system design (essential). Proficiency in Python, C, C++ (essential). Expertise in vehicle-to-base station communication. Strong knowledge of vehicle odometer control. AGV-Specific Skills In-depth experience with **AGV navigation**, including **SLAM, LiDAR, RFID, and inductive systems**. Experience with **safety PLC, PLCs, area scanners, and servo motors** integration. Familiarity with AGV scheduling, fault management, and health monitoring systems. System Integration Expertise in integrating sensors and other vehicle components in AGVs. Familiarity with developing and deploying solutions in an **IIoT/Cloud platform** environment (good to know). Communication & Documentation Strong verbal and written communication skills for customer interaction and requirements gathering. Experience in creating **BOMs, wiring diagrams**, and supporting deployment efforts. Qualifications Essential: BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent. Experience: 5-6 years of experience in AGV design and development, with a strong understanding of vehicle controls, communication protocols, and multi-AGV systems. Qualification : BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Lead Associate Software Engineering (COBOL) Location: Bengaluru Employment Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is building the future of connected wealth management infrastructure, combining real-time data capabilities with deep industry expertise to elevate the advisor and investor experience. Through the power of our trusted platforms Beta, Maxit, and Mediant we are modernizing legacy systems and solving the most complex integration challenges in wealth management. Our mission: streamline operations, enhance productivity, and unlock enterprise scalability for financial institutions. About the Role We are looking for a Lead Associate Software Engineering with strong experience in MicroFocus and Veryant COBOL to join our product engineering team. In this hands-on leadership role, you ll design, build, and modernize high-performance systems that support critical financial workflows in both client/server and cloud environments. This is an excellent opportunity for someone who thrives in legacy modernization, enjoys solving complex integration problems, and is passionate about writing clean, secure, and scalable code. Key Responsibilities Design and develop new features for enterprise systems using MicroFocus/Veryant COBOL. Refactor and modernize legacy code for scalability, performance, and maintainability. Architect solutions for new and existing applications in client/server and cloud-hosted environments. Perform code reviews, ensure secure coding practices, and guide team members on design and implementation. Collaborate with cross-functional Agile teams (Product, QA, DevOps) to deliver end-to-end technical solutions. Write clean, modular, and well-documented code; enforce coding standards across the team. Translate user requirements into effective software design. Ensure high code quality and application performance through best practices and testing. Monitor production systems, support deployments, and troubleshoot full-stack issues. Document system architecture, APIs, and technical specifications. Required Qualifications Bachelor s or Master s degree in Computer Science, Software Engineering, or related field. 3 5 years of hands-on experience in software development, with recent focus on COBOL-based systems. Experience with MicroFocus/Veryant COBOL and ISAM file systems. Hands-on knowledge of GitLab for source control, CI/CD pipelines, and version management. Proven experience leading Agile development teams and mentoring junior engineers. Solid understanding of the software development life cycle (SDLC) and Agile methodologies. Strong problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated success in delivering complex projects from design through deployment. Preferred Qualifications Experience with: XML, VS Code IDE PowerShell or other scripting languages Exposure to application performance tuning, monitoring tools, and system health diagnostics. Knowledge of financial services or experience working with mission-critical enterprise platforms. Personal Attributes Self-starter with a growth mindset and eagerness to learn new technologies. Comfortable working across legacy systems and modern cloud-based solutions. Strong attention to detail and commitment to quality. Thrives in fast-paced, collaborative environments. Passion for solving large-scale technical challenges. Be part of an organization modernizing wealth management infrastructure at scale. Work on mission-critical systems used by top-tier financial institutions. Collaborate with a high-performing, globally distributed engineering team. Grow your career in an environment that values innovation, autonomy, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or related field

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!

Platform Engineer Location: Bengaluru, Karnataka, India Full-time partially remote About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen but with our cutting-edge ColorTokens Xshield platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave : Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world s impactful organizations be it a children s hospital, or a city, or the defense department of an entire country. Position Overview: Colortokens is looking for a Junior Platform Administrator to assist in managing, maintaining, and optimizing our NextGen Security Information and Event Management (SIEM) platform. The ideal candidate will support the day-to-day operations, help onboard customer log sources, troubleshoot integration issues, and provide technical assistance to the security operations team. This role is ideal for a motivated professional with 3+ years of experience in SIEM administration, security operations, or log management. Key Responsibilities: SIEM Platform Administration Assist in deploying, configuring, and maintaining the NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, QRadar, Chronicle, Exabeam). Perform basic updates and patches to ensure platform security and functionality. Monitor SIEM health, performance, and uptime under the guidance of senior administrators. Log Source Management Onboard new log sources and validate data ingestion. Help troubleshoot log ingestion, parsing, and formatting issues. Maintain log retention policies for compliance. Rule and Use Case Management Support the development and deployment of detection rules, correlation use cases, and alerts. Tune existing use cases to minimize false positives. Work closely with security analysts to refine alerting strategies. Integration and Automation Assist in integrating SIEM with other security tools (e.g., EDR, microsegmentation, vulnerability scanners). Work on basic automation tasks using scripting (Python, PowerShell) to enhance SIEM efficiency. Platform Security and Compliance Support role-based access control (RBAC) and platform security policies. Help ensure SIEM adheres to compliance standards like SOC2, ISO 27001. Participate in periodic security audits. Network Debugging & Troubleshooting Have a basic understanding of TCP/IP, networking concepts, and protocols. Assist in debugging network connectivity issues related to SIEM log ingestion. Use basic network troubleshooting tools. Collaboration and Support Work alongside SOC analysts, threat hunters, and security engineers. Provide basic technical support for SIEM users. Assist in training and documentation for security teams. Performance Monitoring and Optimization Monitor storage and indexing performance to ensure optimal operations. Report any performance issues to senior administrators. Contribute to platform health reports and alerting metrics. Incident Support Assist SOC teams in log analysis, incident response, and forensic investigations. Ensure log data is readily available for security incidents. Education and Certifications: Bachelor s degree in Computer Science, Information Security, or a related field. Certifications (Preferred but not mandatory): Splunk Certified User/Admin Microsoft Certified: Security Operations Analyst Associate QRadar Certification Any SIEM-related certification Experience: 3+ years of experience in SIEM administration, security operations, or log management. Hands-on experience with at least one SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, Chronicle, Exabeam). Basic knowledge of log ingestion, rule creation, and data parsing. Exposure to scripting (Python, PowerShell) for automation. Basic understanding of TCP/IP networking concepts and network debugging. Technical Skills: Understanding of log formats, Syslog, JSON, XML, and data pipelines. Basic knowledge of querying languages (KQL, SPL, AQL). Familiarity with SIEM integration with security tools like EDR, SOAR, NDR. Awareness of MITRE ATT&CK, NIST, or CIS security frameworks. Basic experience with network troubleshooting tools (ping, traceroute, netcat (nc)). Soft Skills: Strong problem-solving and troubleshooting abilities. Good verbal and written communication skills. Ability to work collaboratively in a security operations environment. Preferred Skills: Basic understanding of cloud-based security solutions (AWS, Azure, Google Cloud). Exposure to SOAR tools (e.g., Cortex XSOAR, Splunk Phantom). Interest in machine learning-based anomaly detection for SIEM. Key Metrics for Success: Successful onboarding of log sources. Improvement in log ingestion and parsing accuracy. Contribution to fine-tuning detection rules. Timely resolution of SIEM-related support requests. Ability to identify and troubleshoot basic network connectivity issues.

DevOps Engineer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a deep-tech leader in Business Journey Observability, leveraging Big Data and Machine Learning to deliver end-to-end digital experience monitoring for major financial institutions. The platform monitors over 28 billion transactions monthly, powering top banks and enterprises in India and MEA. Work on cutting-edge observability technology Join a Series B funded, award-winning startup recognized by Gartner, Forbes, and NASSCOM Collaborate in a fast-paced, innovative environment focused on learning and growth Access to mental wellness support, health insurance (covering family), and career development programs Role Overview: DevOps Engineer Design, develop, and maintain VuSmartMaps deployments across on-premises, cloud, and hybrid environments Automate deployments using Infrastructure-as-Code (IaC) and CI/CD pipelines Manage cybersecurity assessments and remediations for deployments Collaborate with development teams to improve deployment processes and infrastructure support Publish VuSmartMaps in cloud marketplaces (AWS, Azure, GCP) Stay current on DevOps, CI/CD, infrastructure orchestration, cybersecurity, AI workflows, and big data technologies Key Responsibilities Develop and maintain IaC frameworks enabling flexible VuSmartMaps deployment Build and manage CI/CD pipelines using GitHub Actions, Jenkins Monitor infrastructure, conduct cybersecurity testing, and manage patching Improve deployment efficiency and customer experience Collaborate cross-functionally for seamless integration and rollout Must-Have Skills 3+ years building/managing CI/CD pipelines (GitHub Actions, Jenkins) Certified/experienced in Kubernetes, Docker, Terraform, Helm, YAML Hands-on experience with GitOps workflows Knowledge of web servers (Nginx, Django), identity providers (Active Directory, LDAP), load balancers (Traefik) Experience with databases (PostgreSQL, Elasticsearch, Hadoop stack) and secrets management (Key Vault) Familiarity with cloud services (AWS, Azure, GCP) across IaaS, PaaS, SaaS layers Strong Linux and scripting skills (Bash, Python) Excellent communication skills for cross-team collaboration Good-to-Have Skills Exposure to Red Hat OpenShift, VMware, Ansible, Chef, Puppet Familiarity with container orchestration tools (Podman, Docker Swarm, Nomad) Experience optimizing dockerized microservices and container images Benefits Comprehensive health insurance covering you and your family Mental health and 1:1 counseling support Learning culture focused on innovation and career growth Inclusive, transparent workplace culture Access to new Gen AI tools and integrated tech workspace Career development and skill enhancement programs

Golang Developer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a pioneer in Business Journey Observability, leveraging Big Data and Machine Learning to provide end-to-end visibility into customer journeys in financial services. Our platform monitors over 28 billion digital transactions monthly, impacting 300 million users, and powers major banks across India and MEA. Series B funded, recognized by Gartner, Forbes, and NASSCOM Work with cutting-edge observability technology in a fast-paced, innovative environment Collaborative, inclusive culture focused on learning, growth, and ownership Benefits include 100% health insurance (including dependents), mental wellness support, and career development programs Role Overview: Golang Developer You will develop and maintain backend microservices and APIs using Go, contributing to a scalable and robust product architecture. You will collaborate closely with the product and engineering teams, take ownership of deliverables, and help build features that differentiate VuNet s platform in the market. Key Responsibilities Develop backend services and RESTful APIs in Golang Work with product teams to design scalable and maintainable solutions Follow best practices: code reviews, unit testing, and coding standards Troubleshoot, debug, and optimize high-throughput distributed systems Collaborate in an agile startup environment, continuously learning and improving Mandatory Skills 3+ years of Golang development with deep understanding of concurrency and idioms Proficient in building REST APIs, microservices, gRPC, protobuf Experience with Docker, Kubernetes, Git, and CI/CD pipelines (GitLab CI, Jenkins) Familiarity with Kafka or NATS for messaging and streaming Knowledge of time-series/columnar databases (ClickHouse, Prometheus) Experience with metrics/logging/tracing tools (OpenTelemetry, Jaeger, ELK stack) Strong problem-solving and communication skills Good to Have Experience with Terraform, Ansible, Helm (IaC) Understanding Kubernetes and observability concepts (RED/USE metrics, SLOs, SLIs) Familiarity with PostgreSQL, Redis, Cassandra Background in observability, AIOps, or monitoring domains Agile and DevOps practices experience Benefits Comprehensive health insurance for you and family Mental wellness and 1:1 counseling Culture of innovation, growth, and ownership Access to next-gen AI and integrated technology workspace Supportive career growth and training programs

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Job Title: Customer Success Manager Location: Chennai Experience: 5+ Years About Linarc: Linarc is a collaborative project management platform designed for construction teams. Focused on quality, cost, and schedule management, Linarc streamlines workflows across multiple stakeholders throughout various phases of construction projects. Headquartered in Chennai, India, Linarc offers a dynamic and innovative environment where employees can thrive and excel. Job Description: We are seeking a proactive and experienced Customer Success Manager to join our growing team. As a key member of our Customer Success team, you will be responsible for building strong relationships with our clients, ensuring their satisfaction, driving product adoption, and contributing to the overall growth and success of Linarc. In this role, you will work closely with customers to understand their business needs, help them optimize their experience with our platform, and provide support across their lifecycle. You ll be the bridge between our customers and the product team, ensuring that clients have the best experience possible and that their feedback drives continuous improvement. Key Responsibilities: Customer Relationship Management: Serve as the primary point of contact for assigned customers, guiding them throughout their lifecycle with our product, ensuring their satisfaction and success. Onboarding & Implementation: Onboard new customers, ensuring a smooth and successful implementation process, providing hands-on support during the transition. Product Adoption & Engagement: Drive product adoption by providing training, best practices, and regular product updates to help customers realize maximum value from the platform. Customer Advocacy: Act as the voice of the customer, offering insights and feedback to the product and development teams for continuous improvement. Issue Resolution & Escalations: Manage escalations effectively, ensuring timely resolution of customer issues and challenges. Customer Health Monitoring: Monitor key customer health metrics and develop strategies to enhance retention and reduce churn. Revenue Growth: Identify upsell and cross-sell opportunities and collaborate with the sales team to drive revenue growth and expand customer relationships. Reporting: Prepare and deliver regular performance and usage reports, keeping customers informed and engaged with the product. Requirements: Experience: 5+ years of experience in customer success, account management, or a related role, preferably in a SaaS or product-driven company. Track Record: Proven success in managing and growing customer relationships and ensuring customer satisfaction. Skills: Strong understanding of customer success metrics and strategies, with a focus on product adoption, retention, and customer satisfaction. Communication: Excellent communication, presentation, and interpersonal skills. Ability to explain technical concepts to non-technical stakeholders. Problem-Solving: A problem-solving mindset with the ability to handle customer escalations and challenges effectively. Tools: Experience with CRM and customer success platforms such as Salesforce, HubSpot, or Gainsight. Analytical & Project Management Skills: Strong analytical and project management skills to drive customer success initiatives. Education: Bachelor's degree in Business, Marketing, or a related field (preferred). What We Offer: Competitive Salary & Benefits A collaborative and growth-driven work environment Opportunity to work with a passionate and innovative team If you are a customer-centric professional with a track record of success in driving customer satisfaction and growth, we would love to hear from you! Qualification : Bachelor's degree in Business, Marketing, or a related field (preferred).

About Intugine: Ever wondered how the physical goods we consume every day from your favorite dairy products and snacks to the latest electronics make their way to your doorstep on time and in perfect condition? The journey of these products is complex, spanning from sourcing, manufacturing, and storage, to being transported across an intricate global supply chain. Global brands often face challenges such as lack of visibility over their raw materials, delays in production, and tracking shipments across different transportation modes and geographies. At Intugine Technologies, we provide a best-in-class visibility platform that helps brands gain complete transparency over their supply chains, covering all transport modalities air, land, sea, and rail. Our solutions have helped eliminate operational inefficiencies, reduce logistics costs, and improve key metrics like OTIF (On-Time In-Full), order-to-delivery turnaround time, as well as minimize dwell time and detention costs. Intugine is also a proud partner of India's National Logistics Policy, integrating with systems like FASTag, Port Community System, and Freight Operations Information System to provide even deeper insights. With over 75 global enterprise customers, including GE Healthcare, Flipkart, Titan, Diageo, Ultratech Cement, and Bridgestone, Intugine is at the forefront of transforming global supply chains. About the Role: Associate Manager - Customer Success The Associate Manager - Customer Success will play a vital role in the growth and operations of the business. This individual will take on a high level of responsibility, directly interacting with customers and service providers. As part of their role, they will manage and oversee the successful implementation of Intugine s solutions at mid-market customers, while ensuring optimal service delivery and continuous improvements in customer experience. Responsibilities: Lead the end-to-end implementation of Intugine s solution for mid-market customers, ensuring timely deployment and guiding the team through operational excellence processes. Travel to client locations to understand their needs, train them on Intugine s solutions, and build strong relationships. Collaborate with technical teams to configure and troubleshoot Intugine s software platform as per client specifications. Design, implement, and continuously improve processes, monitoring KPIs to ensure projects meet client requirements. Research and analyze new Intugine products and design processes for their implementation. Set up systems and processes that lead to 100% conformance to client specifications and requirements. Maintain strong communication with clients, managing expectations and addressing any technical issues or concerns. Requirements: 1-2 years of experience in product implementation, preferably in a B2B SaaS environment. Strong organizational skills, with the ability to manage multiple tasks and projects simultaneously. Excellent communication and interpersonal skills, enabling you to deal diplomatically with various stakeholders. Knowledge of supply chain management (SCM) is a plus. A systematic approach to problem-solving, with a keen eye for both big-picture strategy and small daily tasks. Ability to work autonomously and assume responsibility. Strong written and spoken English skills. Creative and innovative mindset to introduce new concepts and drive improvements. Soft skills, including time management, prioritization, and delegation, are essential. Perks at Intugine: Employee Stock Options Take a slice of the pie and grow with us. Comprehensive Health Cover For you and your loved ones. Personal Development Budget Upskill yourself; we ve got the bill. Flexible Working Hours Set your own work hours. Open Door Policy No cubicles, open collaboration. Generous Parental Leave Because work comes second sometimes. Documented Equal Pay Policy Ensuring fairness. Education Assistance Let us help you soar to new heights. Work Autonomy Enjoy complete ownership over your work. Employee Life Skill Training Program Sessions on tax saving, investments, mental well-being, health, and fitness. Company Outings Unwind with your teammates, work can wait. Paid Time Off Your well-being is our priority. If you're ready to make an impact and grow with a company that s shaping the future of supply chain technology, Intugine is the place for you. Join us and be part of our journey!

About the role - Manager - Customer Success The Manager - Customer Success plays a pivotal role in the business and carries a high level of responsibility. As well as overseeing all operational areas of the business, the role is central in supporting business growth. He/she interacts directly with customers, internal stakeholders and providers. Responsibilities Monitoring progress of the projects through customer meetings and providing MIS and regular updates on various projects to senior management & stakeholders. Maintain a deep understanding of our solutions and content and educate clients about the most relevant features/functionality for their specific business needs. Serve as the voice of the client and provide internal feedback to Product, Engineering and other teams on how we can better serve our clients. Experience in setting up NPS / CSAT Monitor clients usage throughout their lifecycle to not only identify and prioritize at-risk accounts but also ways to mitigate churn Manage and coach a team of customer success executives and operations executives. Travel to client locations if needed to understand their needs, train them about Intugine's solutions and build relationships with them. Design and set up processes and work on continuous improvement of the set processes. Collaborate with the technical team to set up or configure Intugine s software platform as per clients requirements and troubleshoot technical issues raised by them. Set and monitor KPIs to access projects. Implement systems and processes that deliver improvement toward 100% conformance to client requirements. Research and analyze Intugine's new products and design a process for their implementation. Requirements 2-5 years of experience in business operations/customer success. Minimum 1 year of B2B Saas operations experience preferred. Minimum 1 year of management experience preferred. MBA preferred from Tier 1/2/3 colleges. You must be able to see the big picture as well as the finer details, as your work is across the spectrum. You will deal in small daily matters, as well as larger aims and setting goals. A systematic organized approach to work is vital. Brilliant communication and interpersonal skills, for dealing with many types of people at all levels in a direct diplomatic way is essential. An understanding of customer/client requirements is a must. Soft skills, including effective time management, prioritizing and delegation, is a must. You must be able to lead, coach, inspire, support and motivate your team, and always seek to improve best practice. Knowledge in SCM is a plus. Having natural creative flair and being full of ideas and energy to introduce new concepts and innovations would also be advantageous. Desire to assume responsibility and work autonomously. Highly organized and able to juggle numerous tasks. Good written and spoken English (being a native speaker will be a plus). Qualification : MBA preferred from Tier 1/2/3 colleges.

Job Title: Site Reliability Engineer (SRE) General Summary: We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our dynamic team. This role is critical in ensuring the stability, scalability, and security of our infrastructure and services. As an SRE, you will work collaboratively with software engineers, data scientists, and product managers to optimize system reliability while driving automation and continuous improvement. You will be responsible for modernizing traditional services, implementing cutting-edge technology, and proactively managing infrastructure to maintain operational excellence. If you are passionate about automation, DevSecOps, system performance, and infrastructure resilience, this role offers an exciting opportunity to make a meaningful impact. Key Responsibilities: System Monitoring & Incident Response: Continuously monitor system health, detect anomalies, and respond to incidents promptly. Investigate and troubleshoot service-related issues, ensuring minimal disruption. Implement proactive measures to prevent downtime and optimize system stability. Infrastructure Automation & DevOps Implementation: Develop and maintain Infrastructure-as-Code (IaC) scripts to automate deployments and scaling. Automate routine operational tasks to improve efficiency and reduce manual intervention. Leverage DevSecOps practices to ensure secure and resilient deployments. Performance Optimization & Capacity Planning: Collaborate with development teams to enhance software performance and system responsiveness. Identify and resolve system bottlenecks to improve speed, efficiency, and reliability. Forecast resource requirements based on traffic patterns and business growth. Security, Compliance & Risk Management: Implement security best practices and compliance measures across all infrastructure layers. Conduct security audits and ensure systems meet industry-standard security guidelines. Proactively assess and mitigate risks associated with infrastructure and deployments. Required Qualifications & Skills: Technical Expertise: Extensive experience with Linux-based environments (Ubuntu, RedHat), including system administration and troubleshooting. Strong proficiency in scripting and automation using Python, Bash, or Go. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with CI/CD pipelines and tools like Jenkins, Puppet, Vault, and Splunk. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Problem-Solving & Leadership: Strong analytical skills with the ability to diagnose and resolve complex system issues. Self-driven, highly motivated, and able to work independently in a fast-paced environment. Ability to collaborate cross-functionally and communicate technical solutions effectively. Security & Reliability Focus: Solid understanding of DevSecOps principles and secure system design. Ability to implement monitoring, logging, and alerting solutions to maintain system resilience. Passion for continuous learning and leveraging data-driven approaches for system improvement. Work in a high-impact role that directly contributes to the reliability and scalability of mission-critical systems. Be part of an innovative, forward-thinking team that values automation, collaboration, and continuous improvement. Competitive salary, professional development opportunities, and an environment that fosters growth and innovation. If you are a passionate, results-driven SRE, we invite you to join us and play a pivotal role in shaping the future of our infrastructure.