Job description What you can expect As part of this team, you will be working in a fast-paced, high-impact environment. Collaborating closely with Developers, Infrastructure Engineers, and Product teams to build and maintain resilient systems. The team focuses on automation, continuous integration and deployment (CI/CD), observability, and cloud-native operations to support Zoom s gateway services. This team are responsible for deploying and managing services across multi-cloud and on-premises environments. About the Team Engineering operations are the driving force behind the seamless functionality and continuous availability that define the platforms unparalleled user experience. You will be responsible for deploying the gateway services. Monitoring infrastructure for these services, developing new automation to reduce manual effort, and being the on-call owner for assigned services. The team handles multiple services like Zoom AIC, Whiteboard, Notes, and Zoom Live Caption/Translation. Responsibilities Having the ability to Mentor other engineers in the team to follow best automation practices to reduce the toil & lead the automation effort. Hands-on experience working on Production service deployments using Kubernetes. Hands-on experience in programming/scripting languages like Python, Bash, or Go, and having worked on monitoring tools like Prometheus+ Grafana. Following the operational DevOps process and take rotational on-call work . What we are looking for 5+ years minimum of work experience as a Cloud DevOps or DevOps engineer in an IC position . Mentoring other engineers in the team to follow best automation practices to reduce the toil & lead the automation effort. 5+ hands-on experience working on Production service deployments using Kubernetes. Have experience leading large scale and high impact technical projects, This cloud DevOps role is focusing mainly on AWS, k8s, terraform, Linux, Python , coding. Have proven experience in Kubernetes, Dockerized workload deployment, and monitoring for it for large-scale distributed systems deployed on prod. Have implemented Infrastructure as Code (IaC) using Terraform. Have experience developing large scale Ansible automation. Hold a Bachelor s degree in Computer Science, Data Science, or a related field. #India #Remote Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know we re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #LI-Remote Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationLinuxCodingdevopsInfrastructureDistribution

Job description Job Title: Software Test Engineer Location : Bangalore Experience : 2-3 Years Job Description: We are looking for a detail-oriented and passionate Software Test Engineer to join our dynamic team in Bangalore. The ideal candidate should have 2-3 years of experience in both functional testing and test automation. You will be responsible for ensuring the quality and reliability of our software applications through thorough testing and proactive quality measures. Key Responsibilities: Design, develop, and execute automated test scripts using tools such as Selenium, TestNG, JUnit, or similar. Perform functional, regression, integration, and system testing. Work closely with developers and product managers to understand requirements and create effective test strategies. Identify, document, and track bugs through to resolution. Maintain and enhance existing test automation frameworks. Participate in sprint planning, daily stand-ups, and retrospectives. Ensure test coverage and maintain high quality of releases. Requirements: Bachelors degree in Computer Science, Engineering, or a related field. 2-3 years of hands-on experience in automation and functional testing. Proficiency in test automation tools such as Selenium, Appium, or similar. Strong understanding of software testing methodologies and QA processes. Experience in using tools like JIRA, TestRail, Jenkins, Git. Basic knowledge of at least one programming language (Java, Python, or JavaScript preferred). Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceSystem testingGITTest scriptsFunctional testingAnalyticalJavascriptSeleniumJIRAPython

Job description Meet the team: We re a collaborative and innovative software quality team focused on ensuring the reliability and performance of Dexcom s continuous glucose monitoring (CGM) systems. Our mission is to build quality into every stage of the development lifecycle through smart automation, rigorous testing, and a passion for improving lives. If youre eager to grow your skills while contributing to life-changing technology, this is the team for you. Where you come in: You participate in building quality into products by writing automated tests and performing ad hoc testing throughout the development cycle. You contribute to the development of software requirements and design specifications. You design, develop, execute, and maintain both automated and manual test scripts to validate Dexcom CGM software and systems. You create verification and validation test plans, traceability matrices, and test reports, and review them with relevant stakeholders. You record and track issues using the bug tracking system. You analyze test failures and collaborate with development teams to investigate root causes. You contribute to continuous improvement of the release process. What makes you successful: You have 1-3 years of hands-on experience in software development or software test development using Python or other object-oriented programming languages. You have experience with SQL and NoSQL databases. You bring experience in automated test development for API testing. You have worked with a variety of automated testing frameworks, including Robot Framework. Your strong understanding of API testing, microservices, and distributed systems in cloud environments sets you apart. You have experience with automated UI testing. You are familiar with cloud platforms like Google Cloud or AWS. You have experience with containerization tools such as Docker and Kubernetes. You may have experience in the medical device industry and familiarity with FDA design control processes (highly desired). Your knowledge of GCP tools like Airflow, Dataflow, and BigQuery is a plus. Experience with distributed event streaming platforms like Kafka is a plus. Experience with performance testing is a plus. You bring CI/CD experience, especially with cloud-based technologies. You have five or more years of Agile development and test development experience. You collaborate effectively across functions to support testing, deployment, and reporting on product performance, quality, security, and stability. You are a self-starter who works well with minimal guidance and communicates clearly both verbally and in writing. Role: Blockchain Quality Assurance Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationNoSQLTest scriptsStaffingPerformance testingsoftware qualityDistribution systemMonitoringSQLPython

Job description We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Generative AI Engineer Job responsibilities: Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills deep learningData analysisArtificial IntelligenceShapingConceptualizationWorkflowDeploymentResearchTroubleshootingPython

Job description Job Description: We are looking for a Data Scientist with expertise in Python, Azure Cloud, NLP, Forecasting, and large-scale data processing. The role involves enhancing existing ML models, optimising embeddings, LDA models, RAG architectures, and forecasting models, and migrating data pipelines to Azure Databricks for scalability and efficiency. Key Responsibilities: Model Development Model Development & Optimisation Train and optimise models for new data providers, ensuring seamless integration. Enhance models for dynamic input handling. Improve LDA model performance to handle a higher number of clusters efficiently. Optimise RAG (Retrieval-Augmented Generation) architecture to enhance recommendation accuracy for large datasets. Upgrade Retrieval QA architecture for improved chatbot performance on large datasets. Forecasting & Time Series Modelling Develop and optimise forecasting models for marketing, demand prediction, and trend analysis. Implement time series models (e.g., ARIMA, Prophet, LSTMs) to improve business decision-making. Integrate NLP-based forecasting, leveraging customer sentiment and external data sources (e.g., news, social media). Data Pipeline & Cloud Migration Migrate the existing pipeline from Azure Synapse to Azure Databricks and retrain models accordingly - Note: this is required only for the AUB role(s) Address space and time complexity issues in embedding storage and retrieval on Azure Blob Storage. Optimise embedding storage and retrieval in Azure Blob Storage for better efficiency. MLOps & Deployment Implement MLOps best practices for model deployment on Azure ML, Azure Kubernetes Service (AKS), and Azure Functions. Automate model training, inference pipelines, and API deployments using Azure services. Experience: Experience in Data Science, Machine Learning, Deep Learning and Gen AI. Design, Architect and Execute end to end Data Science pipelines which includes Data extraction, data preprocessing, Feature engineering, Model building, tuning and Deployment. Experience in leading a team and responsible for project delivery. Experience in Building end to end machine learning pipelines with expertise in developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google Vertex AI and AWS. Experience in developing advanced natural language processing (NLP) systems, specializing in building RAG (Retrieval-Augmented Generation) models using Langchain. Deploy RAG models to production. Have expertise in building Machine learning pipelines and deploy various models like Forecasting models, Anomaly Detection models, Market Mix Models, Classification models, Regression models and Clustering Techniques. Maintaining Github repositories and cloud computing resources for effective and efficient version control, development, testing and production. Developing proof-of-concept solutions and assisting in rolling these out to our clients. Required Skills & Qualifications: Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure Blob Storage, and Azure Kubernetes Service (AKS). Experience with forecasting models, time series analysis, and predictive analytics. Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikit-learn, Hugging Face, FAISS). Experience with model deployment, API optimisation, and serverless architectures. Hands-on experience with Docker, Kubernetes, and MLflow for tracking and scaling ML models. Expertise in optimising time complexity, memory efficiency, and scalability of ML models in a cloud environment. Experience with Langchain or equivalent and RAG and multi-agentic generation Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Role: Machine Learning Engineer Industry Type: Advertising & Marketing Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Cloud computingVersion controlMachine learningCloudData processingNatural language processi

Job description Honeywell is a Fortune 100 technology company that delivers industry-specific solutions that include aerospace products and services; control technologies for buildings and industry; and performance materials globally. Our technologies help aircraft, buildings, manufacturing plants, supply chains, and workers become more connected to make our world smarter, safer, and more sustainable. For more news and information on Honeywell, please visit www.honeywell.com/newsroom. MUST HAVE SKILLS Cloud Platform Expertise (Azure) Database Concepts (SQL or NoSQL) Secure Coding Practice Containers/Kubernetes CI/CD Pipeline Management Infrastructure as Code - Terraform/Ansible Proficiency in languages such as Python, Go, or Java for automation and scripting. Networking Concepts Security and Compliance Incident Management GOOD TO HAVE SKILLS System Design- L2 Cloud Administration- L2 ROLES AND RESPONSIBILITY Design, Build, and Maintain: Develop scalable and resilient cloud-based infrastructure to ensure high availability and performance of services. Implement SRE Best Practices: Establish and maintain SLAs, SLOs, and SLIs to define system reliability targets and improve service performance. Automate Repetitive Tasks: Build automation for infrastructure management, CI/CD pipelines, monitoring, and incident resolution. Monitor System Health: Use monitoring and alerting tools to keep track of system performance and address anomalies proactively. Incident Response: Lead incident response efforts, and coordinate with multiple teams to troubleshoot and resolve critical production issues. Infrastructure Optimization: Continuously optimize infrastructure for cost, security, and performance. Collaboration & Communication: Work closely with development teams to embed reliability engineering practices throughout the SDLC. Documentation & Knowledge Sharing: Maintain up-to-date documentation and share knowledge through mentoring and training sessions. Role: Site Reliability Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills ComplianceNetworkingCodingInfrastructure managementAerospaceIncident managementSystem designSDLCSQLPython

Job description Job Title: Global Security Data Analyst WHY HONEYWELL? Honeywell changes the way the world works. For more than 130 years, we have solved the toughest customer challenges through a rare combination of our industrial expertise, our innovations in groundbreaking software and technology, and industry-leading automation. This perfection is built on a foundation of inclusion, and diversity and driving a performance culture that values integrity and ethics. Are you ready to help us make the future? ABOUT THE ROLE: As a Cyber Security Architect/Engineer, you will partner with leadership, stakeholders, and employees to communicate through critical dashboards where to devote resources to secure Honeywell. You will work across the organization with a variety of security teams to drive down risk using data. Using your data acumen and user interface design skills, you will lead the creation and maintenance of Honeywell Global Security dashboards. By influencing with and without authority, you will help us accomplish our common mission to protect the company. This role will be responsible for performing data analysis, data mapping, data integration, data quality and dashboard development. In this role you will be the primary support around our critical dashboards. This role offers a unique opportunity to work across multiple security teams to ensure a holistic picture of the risks for Honeywell and to drive a data strategy to ensure accuracy, efficiency, timeliness and consistency across our data feeds. RESPONSIBILITIES: Use analytical and technical skills to translate business needs into requirements for designing and implementing Honeywell Global Security dashboards Collaborate with data and service owners to identify data requirements and design, maintain, and optimize data pipelines for structured and unstructured data, moving it to a centralized enterprise data warehouse Work with security service owners to use APIs for automating dashboards and eliminate manual data processes where possible Design and implement data models and schemas to support analytical and reporting needs Operate independently with minimal supervision, receiving only high-level direction from leadership Document standard processes and troubleshooting procedures Provide end-user support to minimize disruptions and encourage full use of the system Monitor data extraction, transformation, and loading processes MUST HAVE: Bachelor s degree in computer science or relatable field or 3 years equivalent experience At least 3 years of demonstrated data management experience, including the ability to merge, clean and analyze large amounts of data; as well as the development of complex dashboards. Experience with both structured and unstructured data Advanced Microsoft Excel knowledge WE VALUE: Experience in using data integration tools to extract, transform, and load processes Experience in data modelling techniques, including schema design Expert in scripting and querying languages, such as Python and SQL Familiar with metadata management within analytics tools such as Tableau and PowerBI Experience delivering results with agile development methodologies Knowledge of databases, data warehouse platforms, and cloud-based tools Proven mentoring ability to drive results and technical growth in peers Ability to clearly document business process and system requirements Ability to develop and communicate the technical vision for projects and initiatives, which can be used to support customer and management understanding Excellent interpersonal, communication, and presentation skills, along with strong organizational and decision-making abilities, good judgment, and tact Experience working in a global team and virtual environment with a strong understanding of cultural differences and a proven ability to integrate these into team dynamics BENEFITS We offer a full benefits package that includes medical, dental, vision, 401(k), flexible vacation and education assistance. Benefits provided may differ by role and location. Visit benefits.honeywell.com to learn

Job description Mandatory Skills: Should have experience in all these programming languages - Java, Python , VBScript , PowerShell, Windows CLI commands. Expert in development for automation framework and solution design for WEB, MOBILE, Cloud applications and Rest API s Experience in automating the WPF platform-based Windows application using Test Complete / UFT. Experience in automating mobile applications in both Android and IOS using Appium. Experience in Web Automation using Selenium & API Automation using any REST based libraries. Expert in Performance Engineering and have experience in using any one of these performance testing tools- LoadRunner / Jmeter / Gatling / WebLOAD / NeoLoad Good Experience in application monitoring tools for .Net based applications using AppDynamics/Dynatrace. Experience in automating windows based applications using any of these OpenSource tools - Winium/ WinAppDriver/ White framework/ Pywinauto Fair understanding of Cloud product deployments and working principles. Fair understanding of security system products like camera, Recorder, video management systems, Access control : Reader, controller and Intrusion systems Should be knowledge of these Automation frameworks Cucumber (BDD- Behaviour Driven Development) framework, RobotFramework using python, TestNG/ Junit framework, Keyword Driven Development framework. Roles & Responsibilities Ensuring 100% end to end Test coverage using automation of the product feature ensuring the development meets the business needs. Understanding the automation requirement and developing solution design for complex application work flows and integrations. Understand business requirements and develop automated test scripts Set up execution infrastructure and deploy hands free execution on a regular basis Failure analysis and derive actions to improve quality Integration of automated testing with Devops pipeline to enable continuous hands-free regression execution. Design and architect test infrastructure to ensure cycle time and schedule goals are met. Deliver cycle time and quality improvement goals by implementing robust and scale-able automated testing solution Execute an available automation suite, analyze the results, and identify 30% of the issues through automation in a release. Develop and execute knowledge enhancement strategy to ensure the team is scaled up on the latest technology. Follow & drive metrics based quality management in automation team. Excellent problem solving and communication skill. Ability to think logically and intuitively. Good to have Skills: Knowledge of Docker/Kubernetes Experience in WebSocket protocol performance testing is good to have. Experience in developing SQL scripts. Role: Test Architect Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationVB SCRIPTTesting toolsPerformance testingWindowsSeleniumWPFSQLAndroidPython

Job description Qualifications Mumbai Primary Responsibilities The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SMEs and understand the business requirements for prompt engineering and proper python code development. Experience with Open AI and different LLM models, conduct testing and performance evaluation is required. Good candidate should be familiar with ongoing monitoring. Contribute to development and maintenance of the python library. Contribute to the support of the library. Participate in prompt engineering. Maintain the prompts and keep them up to date with the new LLM versions Conduct regular testing and performance analysis. Participate in prompt benchmarking experiments. Skills Required - Bachelors in computer science or related field - Years of experience: 5+ - Hands-on experience in building python applications - Excellent prompt engineering skills - Excellent Python development skills - Knowledge of design patterns, system resiliency, observability, scalability and performance - Experience of Agile development - Strong analytical skills and passion for problem-solving - Good communication skills Skills Desired - Experience with machine learning, vector databases - Cloud-based application development preferably using Microsoft Azure Cloud - Prior experience in FinTech application development - Exposure to working in a global delivery team Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills GEN AIAzure CloudMachine Learning

Job description Job Overview As a Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems. This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations. What You Will Do Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and support colleagues in achieving technical deliverables. Invest in strong relationships with colleagues and build a successful followership around a common goal. Build and optimize ML pipelines for feature engineering, model training, and inference. Develop low-latency, high-throughput model endpoints for distributed environments. Maintain cloud infrastructure for ML workloads, including GPUs/TPUs, across platforms like GCP, AWS, or Azure Troubleshoot, debug, and validate ML systems for performance and reliability. Write and maintain automated tests (unit and integration). Supports discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions. Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation. Skills You Will Need Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for colleagues. Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to diverse audiences. Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions. Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java. Who You Are 5+ years of industry experience working with machine learning tools and technologies. Familiarity with agile development frameworks and collaboration tools (e.g., JIRA, Confluence). Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred. Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies. An ongoing learner who seeks out emerging technology and can influence others to think innovatively. Gets energized by fast-paced environments and capable of supporting multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timelines to team members. Dedicated to fulfilling ideals of diversity, inclusion, and respect that company aspires to achieve every day in every way. Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision. Able to work a flexible schedule based on department and company needs. Role: Machine Learning Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Educatio