Regression Jobs in Bengaluru

QA Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a cybersecurity technology company headquartered in India and the USA. Founded in 2008, SecPod builds innovative security products that help organizations adopt a prevention-first approach to cybersecurity. Role Summary We are looking for a highly motivated QA Engineer with strong expertise in test automation to ensure the quality, reliability, and performance of our cybersecurity products. The role involves owning end-to-end test automation and continuously improving quality processes across the development lifecycle. Key Responsibilities Automation Ownership: Own the design, development, execution, and maintenance of automated test suites. Framework Building: Build and maintain automation frameworks for Web applications, Desktop applications, and REST APIs. Regression Testing: Continuously evaluate test cases for regression coverage and automate newly introduced features. Strategic Testing: Define and implement automation strategies and appropriate test design techniques. Cross-functional Collaboration: Work with Development Leads, Architects, and Product Management to ensure high-quality deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Programming: Proficiency in at least one programming language, preferably Python. Testing Foundations: Strong understanding of the Software Testing Life Cycle (STLC). Automation Expertise: Experience in building and maintaining frameworks for UI and REST API automation. DevOps & Tools: Practical experience with CI/CD pipelines (Jenkins), Test Management, and Defect Tracking tools. System Knowledge: Familiarity with web technologies (HTTP, REST), database concepts, and both Linux and Windows environments. Preferred & Non-Technical Skills Domain Knowledge: Experience in the cybersecurity domain or networking is a strong plus. Soft Skills: Strong analytical and problem-solving skills with a research-oriented approach. Agile Mindset: Ability to adapt quickly to change and collaborate effectively in a team environment. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

Description Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. Role As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams. Key Responsibilities Machine Learning and AI Development Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. Deployment and tracking of real time and batch models Containerize applications using Docker and deploy them to cloud platforms. Implement robust CI/CD pipelines for seamless machine learning deployments. Design and optimize SQL queries and database schemas for efficient data retrieval. Develop and manage scalable feature engineering pipelines. Architect scalable, fault-tolerant machine learning systems. Drive engineering excellence through best practices in clean, modular code and system design. Team Leadership Mentor and guide junior data scientists, fostering a culture of learning and innovation. Establish and enforce standards and best practices for data science workflows. Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. Operational Excellence Establish and maintain streamlined, scalable processes for data science solution development. Align with company standards to ensure consistency and scalability in AI deployments. Business Impact Collaborate with stakeholders to define problems, metrics, and data-driven solutions. Translate complex technical insights into actionable business strategies that deliver measurable value. Qualifications Experience and Education 3+ years of experience in data science, including deploying AI/ML products at scale. Bachelor s or Master s degree in Mathematics, Computer Science, or a related field (or equivalent experience). Technical Expertise Mastery of Python for data manipulation, machine learning, and software development. Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. Proficiency in SQL, Spark, and ETL processes. Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. Hands-on experience with cloud platforms like AWS. Soft Skills Craft detailed design documents and technical white papers. Translate technical concepts into business-friendly language. Lead cross-functional discussions and align diverse viewpoints. Deliver polished presentations to senior stakeholders. Exhibit exceptional problem-solving and leadership abilities. Why Join Us? Work on cutting-edge AI and data science projects with a measurable business impact. Collaborate with a talented and passionate team of professionals. Grow professionally with access to modern tools, technologies, and resources. Be part of a culture that values innovation, collaboration, and growth. Qualification : Bachelors or Masters degree in Mathematics, Computer Science, or a related field (or equivalent experience).

Senior Test Automation Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a global cybersecurity company that focuses on preventive cybersecurity solutions. Their SanerNow Platform unifies vulnerability management, patching, compliance, and threat detection into a single agent and dashboard. Role Summary We are seeking a highly skilled Senior Test Automation Engineer to lead and drive automation initiatives across SecPod s platforms. This role involves owning the end-to-end automation strategy, building scalable frameworks, and ensuring the delivery of high-quality, secure software. Key Responsibilities Solution Design: Own the design, development, and maintenance of automated testing solutions and scalable test cases. Framework Enhancement: Build and maintain frameworks for Web, Desktop, and REST APIs. Strategy & Best Practices: Define automation strategies, test design techniques, and optimize test execution efficiency. Regression Expansion: Continuously evaluate and expand regression suites for new features. Technical Collaboration: Work closely with Architects and Development Leads to ensure top-tier deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Framework Development: Strong experience designing frameworks for applications built using Java, JavaScript, C, and C++. Programming: Proficiency in Java or Python. SDLC/STLC: Deep understanding of the Software Testing Life Cycle and software engineering principles. DevOps & CI/CD: Practical experience with Jenkins or Bamboo and CI/CD pipeline implementation. Technical Breadth: Knowledge of HTTP, REST, and database concepts across Linux and Windows environments. Domain Knowledge: Experience in the cybersecurity domain is a strong advantage. Non-Technical Skills Agile Mindset: Ability to adapt quickly in a fast-paced environment. Analytical Thinking: Excellent troubleshooting, debugging, and research-oriented problem-solving skills. Communication: Strong collaboration and verbal/written communication skills. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Job Title: Software Engineer QA Location: Bengaluru Company: Altisource (NASDAQ: ASPS) About Altisource Altisource Portfolio Solutions S.A. is a leading integrated service provider and marketplace for the real estate and mortgage industries. We combine operational excellence with innovative technology to meet the evolving needs of our clients. Learn more at altisource.com. Role Overview We re looking for a Software QA Engineer with a passion for quality and innovation to join our growing technology team. You ll play a critical role in ensuring that our software products meet the highest standards by designing robust test plans, executing test cases, and contributing to automation efforts. This is a great opportunity for a quality-focused engineer who thrives in Agile environments and is eager to grow in a fast-paced, product-driven company. Key Responsibilities Review requirements and technical specifications to ensure clarity and testability. Create detailed and well-structured test plans, test cases, and test scripts. Estimate, prioritize, and plan testing activities as part of sprint planning. Design, develop, and maintain automated test scripts using open-source tools. Execute functional, regression, and exploratory tests; identify and report bugs. Perform root cause analysis on defects and track them to resolution. Collaborate closely with developers, product managers, and other QA engineers. Monitor and support debugging processes; verify bug fixes through regression testing. Contribute to improving QA processes and best practices across the team. Stay current with the latest trends in testing tools, strategies, and technologies. Track key QA metrics such as defect density, open defects, and test coverage. Required Qualifications 2+ years of hands-on experience in software testing (manual and automation). Strong understanding of QA methodologies, tools, and processes. Experience writing clear, concise, and comprehensive test documentation. Solid knowledge of SQL and scripting for database validation. Experience with both white-box and black-box testing techniques. Hands-on experience with automated testing tools (e.g., Selenium, JUnit, TestNG). Experience working in Agile/Scrum development environments. Bachelor s degree in Computer Science, Engineering, or a related field. Preferred Skills Experience with performance and/or security testing. Exposure to CI/CD pipelines and test integration in build processes. Familiarity with JIRA, TestRail, or similar test/project management tools. Join us at Altisource and be part of a team that is transforming the real estate and mortgage industry with technology and innovation. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Job Title: Director of QA Location: Bangalore Department: Quality Engineering Employee Type: Full-time Experience Required: 14 18 years Position Overview We are seeking an accomplished and visionary Director of Quality Assurance (QA) to lead our QA organization and ensure the delivery of world-class products. This leadership role requires deep expertise in quality engineering, strong technical acumen, and a strategic mindset. You will be responsible for defining the overall QA strategy, scaling high-performing teams, and implementing modern testing frameworks and methodologies that align with business and product objectives. This is a high-impact role, collaborating cross-functionally to champion a culture of quality across the organization. Key Responsibilities Strategic Leadership Define and execute a comprehensive QA vision and strategy aligned with the company's product development goals. Evolve QA methodologies and processes by integrating Agile, DevOps, and shift-left principles. Stay ahead of QA industry trends and innovations to drive continuous improvement and efficiency. Team Leadership & Development Recruit, build, and mentor a world-class QA team including managers, leads, and engineers. Foster a culture of ownership, collaboration, and continuous learning. Conduct regular performance reviews and support career development through coaching and training. Promote a "quality-first" mindset across all engineering and product teams. Quality Assurance & Testing Oversee planning and execution of all QA activities including functional, non-functional (performance, security, usability), automation, and regression testing. Lead the implementation and scaling of test automation frameworks to improve speed, coverage, and reliability. Manage defect tracking and resolution processes, ensuring root cause analysis and timely resolution. Define, track, and report on key quality metrics such as defect density, test coverage, automation ROI, and overall product health. Collaboration & Communication Partner with Product, Engineering, DevOps, and Business teams to embed quality early in the product lifecycle. Clearly communicate QA strategies, risk assessments, and progress updates to executive leadership and cross-functional stakeholders. Act as a quality evangelist across the organization, promoting best practices and shared accountability for quality. Process Optimization Identify inefficiencies and quality bottlenecks across the Software Development Lifecycle (SDLC). Champion continuous improvement initiatives to reduce time-to-market without compromising on quality. Advocate for shift-left testing approaches, integrating QA earlier in development workflows. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in Quality Assurance, including at least 7+ years in senior leadership roles (e.g., QA Manager, Senior Manager, or Director). Proven track record in building and scaling high-performing QA teams in product-driven environments. In-depth knowledge of testing methodologies (Agile, Waterfall, DevOps) and various testing types (functional, performance, security, usability). Strong experience with test automation tools and frameworks (e.g., Selenium, JMeter, Postman). Hands-on experience with CI/CD pipelines, quality gates, and DevOps practices. Strong analytical, problem-solving, and strategic decision-making abilities. Exceptional interpersonal, verbal, and written communication skills. Ability to thrive in a fast-paced, dynamic, and cross-functional environment. Preferred Qualifications Experience working in Fintech or regulated product-based environments. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). This role offers a unique opportunity to shape and lead the quality vision of a cutting-edge organization. If you're passionate about software quality, innovation, and leading teams to excellence, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Position: Senior QA Engineer (Automation & Telecom) Location: Bangalore, Karnataka, India Department: Advanced Analytics Experience: 3 - 6 Years We're looking for a Senior QA Engineer with 3-6 years of experience, specializing in both automation and manual testing within the telecom domain. If you're proficient with Playwright and understand CI/CD pipelines, you're the ideal candidate to join our Advanced Analytics team. Key Responsibilities: Automate test cases using Playwright for web applications. Conduct manual testing for telecom functionalities (performance, stability). Design and write detailed test cases based on requirements. Manage test execution, defect tracking, and reporting. Collaborate with teams to validate system behavior. Integrate automation into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps). Ensure quality gates are met before production releases. Perform regression testing, UAT support, and production troubleshooting. Skills You Need: 3+ years QA experience (manual & automation). Strong Playwright or similar automation framework experience. Telecom project experience (BSS/OSS, network provisioning, fraud management, etc.). Knowledge of CI/CD tools (Jenkins, GitLab CI/CD, Azure DevOps). Proficiency in JIRA, TestRail, or similar tools. Familiarity with JavaScript/TypeScript or Python. Experience with Agile/Scrum. Nice to Have: API testing (Postman, REST-assured). Git version control. Cloud platform exposure (AWS, Azure).

Position: Senior Software Quality Engineering Functional Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in Connected Operations , helping industries such as logistics, field services, construction, and manufacturing digitally transform their physical operations. Samsara s solutions use IoT data to improve safety, efficiency, and sustainability across global infrastructure that powers more than 40% of global GDP. Role Overview Samsara is hiring a Senior Software Quality Engineer Functional to join its Quality Engineering team in Bengaluru. In this hands-on and collaborative role, you will be responsible for functional and automation testing across Samsara s Salesforce platform, with a primary focus on CPQ and Sales Cloud modules. You ll work closely with cross-functional teams to ensure robust test coverage and help build a high-quality, reliable GTM systems ecosystem. This is a hybrid position, requiring 3 days in office and 2 days remote each week. Key Responsibilities Quality Strategy & Execution Develop and maintain comprehensive test plans, test cases, and test scripts for Salesforce CPQ and Sales Cloud applications. Execute functional, regression, integration, and performance tests across critical GTM workflows. Automate repetitive testing scenarios using tools like Selenium, JUnit, or similar. Collaboration & Defect Management Work cross-functionally with Product, Engineering, and Operations to ensure features meet quality and performance standards. Identify, log, track, and validate bug fixes using tools such as JIRA and TestRail. Participate actively in Agile ceremonies and collaborate closely with globally distributed teams. Continuous Improvement Analyze requirements and propose test coverage enhancements early in the SDLC. Mentor junior QA engineers, sharing best practices and championing quality culture. Contribute to performance testing and CI/CD improvements using tools like Jenkins or Bitrise. Minimum Qualifications Bachelor s degree in Computer Science, IT, or related discipline. 7+ years of overall QA experience with 2+ years focused on Salesforce CPQ and Sales Cloud. Solid understanding of Salesforce architecture, metadata, and data models. Proficiency in manual and automated testing, defect tracking, and test management tools. Strong attention to detail and ability to thrive in a fast-paced environment. Preferred Qualifications Salesforce certifications such as CPQ Specialist, Advanced Administrator, or Sales Cloud Consultant. Experience with performance testing tools and Agile development practices. Familiarity with CI/CD pipelines and DevOps processes. Excellent communication and collaboration skills with a mentorship mindset. Qualification : Bachelors degree in Computer Science, IT, or related discipline

Job Title: DevOps + Tester Location: Bangalore, India Experience: 4 5 years Industry: IT Services Job Type: Full-time Role Overview This hybrid DevOps + QA role focuses on: Ensuring mobile application performance and reliability. Driving automation, CI/CD, and continuous improvement. Designing and executing automated test scripts and performing integration, regression, and performance testing. Supporting innovation and scalable software deployment in alignment with Rakuten s standards. You ll collaborate closely with development, QA, and operations teams, while improving infrastructure and testing frameworks. Key Skills & Tools CI/CD Tools: Jenkins, Bamboo, Docker Testing: Automation, Integration, Regression, Performance Testing Cloud Platforms: AWS, Azure, GCP Salesforce Ecosystem: 1 2 years hands-on experience preferred API Integration: Including legacy systems Test Scripting Tools: Open-source or commercial frameworks Solid grasp of software architecture, high availability, and transaction-intensive systems Responsibilities Monitor and optimize app performance Develop and maintain automated test scripts Execute integration and regression testing Conduct performance tests during pipeline integration Collaborate across DevOps, development, and QA teams Maintain detailed test documentation Conduct unit tests, code reviews, and QA validations Ensure service quality and customer satisfaction Education & Qualifications Bachelor s degree in CS, IT, Engineering, or related field (required) MBA or advanced degree (preferred) Salesforce Admin or PD certification (preferred) Ideal Candidate Traits Strong DevOps + Testing blend with cloud experience Effective communication with technical and non-technical teams Strategic thinker with planning skills Thrives in fast-paced environments, managing multiple priorities Interview Process 2 Technical Rounds Qualification : Bachelors degree in CS, IT, Engineering, or related field (required)

Position Title: Senior Automation Test Engineer Selenium, Playwright, API & Database Testing Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Automation Test Engineer with strong expertise in Selenium, Playwright, API testing, and database validation. In this role, you will be responsible for designing, developing, and maintaining automated test scripts to ensure high-quality software delivery. You will work closely with development and QA teams in an Agile environment, driving quality across the software development lifecycle. Key Responsibilities Design, implement, and maintain automated test scripts using Selenium and Playwright. Perform functional, regression, API, and database testing. Collaborate with cross-functional teams to understand requirements and define test strategies. Identify, report, and track defects using tools like JIRA. Participate actively in Agile ceremonies including sprint planning and retrospectives. Ensure test coverage, reliability, and continuous improvement in test frameworks. Technical Skills Essential Tools & Technologies Automation: Selenium, Playwright (mandatory), TestNG, Maven. CI/CD & Project Tools: Jenkins, JIRA. Testing Types: Functional, Regression, API testing (e.g., Postman), Database testing (SQL). Methodologies: Agile/Scrum. Programming & Scripting Languages: Java (strong knowledge preferred). Practices: Reusable code development, script debugging, and test maintenance. Experience Requirements Minimum 8 years of hands-on experience in automation testing. Solid experience in Selenium with Java. Strong proficiency in Playwright (mandatory). Proven background in API and database testing. Experience working in Agile teams and participating in end-to-end QA lifecycle. Day-to-Day Activities Write and maintain robust, scalable automated test suites. Execute test scripts and analyze results to ensure software quality. Debug failed tests, identify issues, and collaborate with development teams for resolution. Review test cases and provide mentorship to junior testers when needed. Contribute to process improvements and quality standards. Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. Soft Skills Strong communication and teamwork capabilities. Detail-oriented with excellent problem-solving skills. Ability to manage multiple tasks and priorities in a fast-paced environment. Proactive and self-driven with a focus on delivering high-quality solutions. Diversity & Inclusion at Synechron At Synechron, we believe diversity drives innovation. Through our Same Difference DEI initiative, we are committed to creating an inclusive environment where everyone feels respected and valued. We welcome applications from individuals of all races, ethnicities, genders, sexual orientations, disabilities, ages, and backgrounds. Our global workforce benefits from mentoring, flexible work arrangements, and continuous learning opportunities. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Senior Software Development Test Engineer Location: Bengaluru, Karnataka, India About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving over 100 million users globally. As part of Cloud Software Group, Citrix is a recognized leader in VDI, Desktop-as-a-Service, and application delivery solutions, enabling the secure delivery of desktops, applications, SaaS, and web apps to any device, anywhere. Our Citrix Workspace App team works on the secure delivery of virtual apps, and we re dedicated to improving the experiences of our users worldwide. About This Team: Our Citrix Workspace App team is responsible for the secure delivery of virtual apps to users across multiple platforms. We are looking for a Senior Software Development Test Engineer who is passionate about quality assurance, automation, and continuous improvement. You will play a critical role in testing and validating the Citrix Workspace App, focusing on automating tests using tools like Selenium, Python, and the Robot Framework. You'll work in a fast-paced environment, collaborating closely with developers, product managers, and other stakeholders to ensure the product meets high standards of reliability and performance. Job Description: As a Senior Software Development Test Engineer, you will be responsible for designing, developing, and maintaining automated test frameworks and scripts for web-based software applications. Your work will be central to the success of our Citrix Workspace App by improving test efficiency, coverage, and reliability. You ll ensure that the application is of the highest quality by performing various types of testing, including functional, regression, performance, security, and integration testing. Duties and Responsibilities: Automate Testing: Develop and maintain automated test frameworks and scripts using tools like Selenium, Robot Framework, Python, PowerShell, and others. Test Automation: Automate UI, API, and integration tests to improve efficiency and coverage. Champion Automation: Advocate and implement best practices for automation testing within the team. Test Planning and Execution: Design, develop, and execute comprehensive test plans and test cases for web-based software applications. Collaborate Effectively: Work with developers, product managers, and other stakeholders to deliver high-quality products in a team-oriented environment. Self-Motivation and Independence: Demonstrate strong self-motivation, with the ability to work effectively in a team environment while being able to operate independently with limited supervision. Required Experience/Skills: 5+ years of experience in Automation Testing for web-based applications, including test frameworks and scripting languages. Strong hands-on experience in test automation frameworks and tools such as Python, Shell, Selenium, Robot Framework, PowerShell, JavaScript, CSS, HTML. Familiarity with cloud platforms such as AWS, Azure, and GCP, and understanding related technologies. Basic networking knowledge, including network troubleshooting using tools like Wireshark. Experience with CI/CD tools such as GIT, Jenkins, and JIRA. Excellent communication and articulation skills to collaborate across teams and document testing efforts. Preferred Qualifications: B.E/B.Tech or M.Tech in Computer Science or a related technical field. Innovative Culture: Be part of a leading organization at the forefront of cloud technologies. Impactful Work: Your work will directly impact the performance and quality of our Citrix Workspace App, which serves millions of users. Growth Opportunities: Join a rapidly growing team where you can continue to develop and expand your technical and leadership skills. Work with Cutting-Edge Tech: Use state-of-the-art testing tools and methodologies to ensure the highest quality of cloud-based software. Equal Opportunity Employer: Cloud Software Group is an Equal Employment Opportunity (EEO) employer and complies with all federal, state, and local laws prohibiting employment discrimination. We encourage applicants of all backgrounds to apply and offer a welcoming, inclusive workplace where everyone can succeed. Qualification : B.E/B.Tech or M.Tech in Computer Science or a related technical field.

Job Title: Software Tester Location: Bengaluru, India Type: Full-Time Education BE, BCA, MCA, BTECH in Computer Science or related field. Key Responsibilities Test Planning & Strategy: Collaborate with development teams to create and strategize testing scenarios and ensure high-quality product delivery. Responsible for creating comprehensive and detailed test plans and test cases, ensuring they align with the Business Requirement Specification (BRS). Types of Testing: Perform functionality testing, usability testing, performance testing, compatibility testing, security testing, and regression testing to ensure a robust product. Conduct API testing (specifically Rest APIs) to validate backend services and data flows. Manual & Integration Testing: Execute complex manual tests, integration tests, and regression tests to identify potential issues in the system. Write and execute detailed test cases, ensuring proper test coverage and identifying defects. Defect Tracking & Reporting: Utilize JIRA and Confluence for defect tracking, project management, and team collaboration. Identify defects, log them efficiently, and ensure proper follow-up, providing developer-friendly bug reports to facilitate quick fixes. Testing Automation: Knowledge of test automation concepts and tools is a plus (not mandatory). Cross-Platform Testing: Conduct testing across both mobile and web platforms, ensuring compatibility across different browsers and devices. Stress and Functionality Testing: Perform stress testing and functionality testing to verify the product's resilience under various load conditions and ensure all features function correctly. Use Case Development: Think from both developer and user perspectives to identify and write testable use cases. Ensure that use cases translate into smooth user experiences by creating appropriate test cases for validation. Skills & Qualifications Testing Expertise: Strong understanding of Manual Testing with hands-on experience in various types of testing (functionality, usability, performance, etc.). Automation experience is a plus. API Testing: Experience testing Rest APIs and validating backend services. Performance Testing: Experience with load testing tools like JMeter. Defect Tracking Tools: Proficient in using JIRA and Confluence for bug tracking and project management. Operating Systems: Comfortable working with Windows and Linux environments. Agile Experience: Familiar with working in an Agile development process, collaborating with cross-functional teams. Test Scripting: Ability to write and execute efficient test scripts for both manual and automated testing. Cross-Platform Testing: Ability to test on both web and mobile platforms to ensure compatibility and consistency. Problem-Solving: Strong analytical skills with the ability to identify problems and troubleshoot effectively. Career Growth: Opportunities for learning, skill enhancement, and career advancement. Dynamic Environment: Work in a fast-paced and innovative environment with exposure to diverse projects. Work-Life Balance: Flexible working hours and a healthy work-life balance. If you are passionate about quality assurance and want to work on exciting projects in a collaborative environment, we encourage you to apply and become a part of our team! Qualification : BE, BCA, MCA, BTECH in Computer Science or related field.

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the onshore/ client stakeholders to define the algorithm, break down the problem into execution steps, and run the analysis. Ensure high-quality analytics solutions/reports to the client. Project scoping, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats. Lead/ contribute/ support to the RFPs/ proposals working with US stakeholders/ Axtria s client partner team. Manage and mentor the team, plan their learning and career progression. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Education BE/B.Tech Work Experience Overall, 7-10 years of rich experience in marketing analytics with 5+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control. Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and strong storyboarding skills. Good communication skills- verbal and written. Experience in leading engagements of scale, team, managing deliverables/ timelines and risk. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering results within timelines. Should be inclined towards self-motivation and self-driven to find solutions to problems. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Web Automation Engineer (Cypress & JavaScript) Location: India (Bangalore) Experience: 3+ Years Education Qualification: B.E. in Computer Science / Electronics About Mirafra Founded in 2004, Mirafra is a fast-growing global product engineering services company specializing in Semiconductor Design, Embedded Systems, Digital Solutions, and Application Software. With over 1,500+ professionals worldwide, we provide cutting-edge solutions to Fortune 500 clients across industries such as Semiconductor, Internet, Aerospace, Networking, Telecom, Medical Devices, and Consumer Electronics. Recognitions: Best Company to Work For SiliconIndia (2016) Most Promising Design Services Provider SiliconIndia (2018) Top 10 Admired Companies for Software Services DigiTech Insight (2022) Roles and Responsibilities Test Automation & Scripting Develop, maintain, and optimize automated test scripts using Cypress for web applications. Implement and manage end-to-end (E2E) testing, integration testing, and regression testing. Automate API testing and validate backend services. Work with JavaScript/TypeScript for test case scripting and execution. Agile & Collaboration Participate in Agile development (Sprint planning, Retrospectives, etc.). Collaborate with Developers, QA Engineers, and Product Teams to enhance test coverage. CI/CD & Reporting Integrate Cypress tests with Jenkins, GitLab, and CI/CD pipelines. Monitor test execution, track defects, and provide detailed test reports. Skills & Qualifications Education: B.E. in Computer Science / Electronics Technical Expertise: Automation Testing Tools: Cypress (Web Automation), JMeter (Performance Testing) Programming & Scripting: JavaScript, TypeScript Software Development Methodologies: Agile (Scrum/Kanban) CI/CD & DevOps: Jenkins, GitLab, Docker Testing Strategies: Functional, Performance, Load, API, and UI Testing Soft Skills: Strong problem-solving and analytical skills. Excellent communication and team collaboration. Ability to work in fast-paced Agile environments. Work on innovative projects with cutting-edge web automation. Global work environment with top-tier clients. Career growth opportunities and exposure to the latest technologies. Award-winning workplace culture and industry recognition. Excited to take on a challenging Web Automation role? Apply now!