Role Brief: The ideal candidate will have a strong background in software engineering with a focus on DevOps practices and tools with extensive experience in shell scripting, applicationdeployment, and release management. Primary responsibility is to streamlining our development processes, ensuring smooth deployments, and managing the release lifecyclefor our flagship products. Role & Responsibilities: Implement and maintain Deployment pipelines to facilitate seamless code integration and delivery.Ensure consistency across development, testing, and production environments.Set up and manage monitoring tools to ensure system reliability and performance. Analyze logs for troubleshooting and performance tuning.Work closely with development, QA, and operations teams to ensure successful delivery and deployment of applications.Develop, maintain, and optimize shell scripts for automation of tasks and processes.Manage and execute deployment processes for Java-based applications, ensuring high availability and performance.Oversee the end-to-end release process, including planning, scheduling, and coordinating releases across multiple environments.Troubleshooting techniques and fixing the code bugsIdentifying and deploying cyber-security measures by continuously performing vulnerability assessment and risk managementIncidence management and root cause analysis Role Requirements:7+ years of experience as a DevOps Engineer or similar software engineering role.Proficient in shell scripting (Bash, etc.) with a strong understanding of automation tools and frameworks.Proven experience in deploying and managing Java-based applications both manually and automatically. Experience in Manual deployment is a must.Solid understanding of release management processes and best practices.Version Control: Proficiency with version control systems (Git, Bitbucket etc.).Must have a strong experience in handling the Nginx Configuration files and handling Nginx as a reverse proxy.Experience in handling SSL Certificates and DNS management.Must have a strong Experience with environment configuration and management.Experience in handling MySQL/MariaDb Queries.Good to have knowledge on handling the YAML Property files.Understanding of Containerization (Docker) and Orchestration (Kubernetes, EKS) techniques.Strong analytical and troubleshooting skills.Excellent verbal and written communication skills. Key Skillset :Linux, Bash Shell Scripting, Nginx, Java Microservices deployment, RabbitMQ Configuration and Setup, Server setup and configuration, Networking Concepts, AWS Resources like EC2,RDS, SSL Certificate Installation, Tomcat, Manual Deployment, DB Configurations on property files, Software Package Installation and upgradation on servers, OS Patch Activity, VAPT. Notice Period : Available to join in less than 30 days Emails : rohit.g@hotfoot.co.in / Nisha.ap@hotfoot.co.in

Company Description Hotfoot Technology Solutions is a pioneering FINTECH and CreditTech company providing end-to-end digital and automated lending solutions to financial institutions and loan aggregators. Founded in 2016 and headquartered in Chennai with an additional office in Noida, Hotfoot focuses on revolutionizing lending practices through innovation and automation. Our dynamic team of 200+ members strives to enhance customer experiences by simplifying and expediting financial services. Recognized as a top start-up in Chennai and awarded for our innovative platform, we are committed to setting trends in financial technology. Role Description This is a full-time, on-site role for a Quality Assurance Automation Engineer located in Chennai. The Quality Assurance Automation Engineer will be responsible for developing and executing automated test scripts, creating and managing test cases, conducting manual and software testing, and ensuring the quality of our products. The role involves closely working with the development team to identify and resolve issues, improving test processes, and contributing to the continuous improvement of our testing practices. The ideal candidate will have a solid understanding of automation testing principles and hands-on experience in automating tests for web, API, and mobile applications. Prior exposure to databases and experience in the fintech domain will be considered a strong advantage. Key Responsibilities Design and develop a robust automation testing framework from scratch, including architecture, reusable components, and best practices using a codeless automation tool. Develop and execute both automated and manual test cases to ensure comprehensive coverage of functional requirements. Use codeless automation platforms to validate functionality, usability, and reliability across web, mobile, and API interfaces. Maintain and update automated test suites to accommodate new features and ensure strong regression coverage. Collaborate with development teams to log, prioritize, and resolve bugs efficiently. Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Perform database validations using basic SQL queries to ensure data accuracy. Generate clear and concise test reports and quality metrics to identify trends and potential risks. Continuously apply automation testing best practices to improve test efficiency and minimize manual testing efforts. Required Skills 3+ years of experience in automation testing. Practical experience with automation tools for web, API, and mobile testing. Strong foundation in automation testing concepts, including test design, reusable components, element locators, assertions, and validations. Experience with or willingness to learn codeless automation platforms. Familiarity with database fundamentals and proficiency in writing simple SQL queries. Experience using bug tracking and test management tools (e.g., JIRA, TestRail, etc.). Prior experience in the Loan Origination System (LOS) or fintech domain is a significant plus. Educational Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields (B.Tech/B.E/B.Sc/M.Sc/BCA/MCA). Show more Show less

Are you a dynamic individual with a passion for human resources and a strong command of English? Hotfoot Technology Solutions is seeking a talented HR intern to join our team! As an intern, you will have the opportunity to gain valuable hands-on experience in the field of HR while working in a fast-paced and innovative tech company. Key Responsibilities: 1. Assist HR team in recruitment process by screening resumes and scheduling interviews 2. Help with employee onboarding process, including preparing new hire paperwork and orientation 3. Assist in maintaining employee records and updating HR databases 4. Collaborate with HR team to plan and coordinate employee engagement activities and events 5. Participate in HR projects and initiatives to support company goals and objectives 6. Provide general administrative support to the HR department as needed If you are a team player, detail-oriented, and eager to learn, this is the perfect opportunity for you to kickstart your career in HR. Apply now and be a part of our exciting journey at Hotfoot Technology Solutions Job Types: Full-time, Fresher, Internship Contract length: 3-6 months Pay: ₹100,000.00 - ₹200,000.00 per year Benefits: Flexible schedule Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This is internship with full time placement of job opportunity are you open ? Work Location: In person

We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Key Responsibilities Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). Expertise in OCR technologies, regular expressions, and rule-based NLP. Experience with SQL and database management for handling extracted data. Knowledge of probabilistic models, optimization techniques, and statistical inference. Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). Strong analytical and problem-solving skills. Preferred Qualifications Experience with graphbased document analysis and knowledge graphs. Knowledge of time series analysis for document-based forecasting. Exposure to reinforcement learning for adaptive document processing. Understanding of the credit / loan processing domain. Location: Chennai, India Show more Show less

Role Brief: The ideal candidate will have a strong background in software engineering with a focus on DevOps practices and tools with extensive experience in shell scripting, application deployment, and release management. Primary responsibility is to streamlining our development processes, ensuring smooth deployments, and managing the release lifecycle for our flagship products. Role & Responsibilities Implement and maintain Deployment pipelines to facilitate seamless code integration and delivery. Ensure consistency across development, testing, and production environments. Set up and manage monitoring tools to ensure system reliability and performance. Analyze logs for troubleshooting and performance tuning. Work closely with development, QA, and operations teams to ensure successful delivery and deployment of applications. Develop, maintain, and optimize shell scripts for automation of tasks and processes. Manage and execute deployment processes for Java-based applications, ensuring high availability and performance. Oversee the end-to-end release process, including planning, scheduling, and coordinating releases across multiple environments. Troubleshooting techniques and fixing the code bugs Identifying and deploying cyber-security measures by continuously performing vulnerability assessment and risk management Incidence management and root cause analysis Role Requirements 7+ years of experience as a DevOps Engineer or similar software engineering role. Proficient in shell scripting (Bash, etc.) with a strong understanding of automation tools and frameworks. Proven experience in deploying and managing Java-based applications both manually and automatically. Experience in Manual deployment is a must. Solid understanding of release management processes and best practices. Version Control: Proficiency with version control systems (Git, Bitbucket etc.). Must have a strong experience in handling the Nginx Configuration files and handling Nginx as a reverse proxy. Experience in handling SSL Certificates and DNS management. Must have a strong Experience with environment configuration and management. Experience in handling MySQL/MariaDb Queries. Good to have knowledge on handling the YAML Property files. Understanding of Containerization (Docker) and Orchestration (Kubernetes, EKS) techniques. Strong analytical and troubleshooting skills. Excellent verbal and written communication skills. Key Skillset Linux, Bash Shell Scripting, Nginx, Java Microservices deployment, RabbitMQ Configuration and Setup, Server setup and configuration, Networking Concepts, AWS Resources like EC2,RDS, SSL Certificate Installation, Tomcat, Manual Deployment, DB Configurations on property files, Software Package Installation and upgradation on servers, OS Patch Activity, VAPT. Notice Period : Available to join in less than 30 days Emails : rohit.g@hotfoot.co.in / Nisha.ap@hotfoot.co.in

Hands-On | Micro Data Lakes | Enterprise Data Strategy Are you a hands-on Data Architect who thrives on solving complex data problems across structured and unstructured sources? Do you enjoy designing micro data lakes and driving enterprise-wide data strategy? If so, we want to hear from you. What You Will Do Design and build micro data lakes tailored to lending domain Define and implement enterprise data strategies including modelling, lineage, and governance Architect and build robust data pipelines for batch and real-time data ingestion Develop strategies for extracting, transforming, and storing data from APIs, PDFs, logs, databases, and more Establish best practices for data quality, metadata management, and data lifecycle control Hands-on in implementation of processes, strategies and tools to create differentiated products. – MUST HAVE Collaborate with engineering and product teams to align data architecture with business goals Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, Azure Mentor data engineers and advocate for engineering excellence in data practices What You Bring 10+ years of experience in data architecture and engineering Deep understanding of structured and unstructured data ecosystems Hands-on experience with ETL, ELT, stream processing, querying and data modelling Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog and Python Expertise in cloud-native data platforms including AWS, Azure, or GCP Strong grounding in data governance, privacy, and compliance standards A strategic mindset with the ability to execute hands-on when needed Nice to Have Exposure to the lending domain Exposure to ML pipelines or AI integrations Background in fintech, lending, or regulatory data environments What We Offer An opportunity to lead data-first transformation, create products that accelerate AI adoption Autonomy to design, build, and scale modern data architecture A forward-thinking, collaborative, and tech-driven culture Access to the latest tools and technologies in the data ecosystem Location: Chennai Experience: 10-15 Years | Full-Time | Work From Office Ready to design the future of data with us? Apply Now! #DataArchitect #DataEngineering #MicroDataLakes #EnterpriseData #BigData #CloudData #StreamingData #ETL #DataStrategy #FintechJobs #HiringNow #AWS #GCP #Azure #Kafka #Spark #AI #ML

Are you a hands-on Data Architect who excels at tackling intricate data challenges within structured and unstructured sources Are you passionate about crafting micro data lakes and spearheading enterprise-wide data strategies If this resonates with you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specific to the lending domain. Additionally, you will play a key role in defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your tasks will involve architecting and implementing robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from various sources such as APIs, PDFs, logs, and databases. Establishing best practices for data quality, metadata management, and data lifecycle control will also be part of your core responsibilities. Collaboration with engineering and product teams to align data architecture with business objectives will be crucial, as well as evaluating and integrating modern data platforms and tools like Databricks, Spark, Kafka, Snowflake, AWS, GCP, and Azure. Furthermore, you will mentor data engineers and promote engineering excellence in data practices. The ideal candidate for this role should possess a minimum of 10 years of experience in data architecture and engineering, along with a profound understanding of structured and unstructured data ecosystems. Hands-on proficiency in ETL, ELT, stream processing, querying, and data modeling is essential, as well as expertise in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python. Familiarity with cloud-native data platforms like AWS, Azure, or GCP is required, alongside a solid foundation in data governance, privacy, and compliance standards. A strategic mindset coupled with the ability to execute hands-on tasks when necessary is highly valued. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. As part of our team, you will have the opportunity to lead data-first transformation and develop products that drive AI adoption. You will enjoy the autonomy to design, build, and scale modern data architecture within a forward-thinking, collaborative, and tech-driven culture. Additionally, you will have access to the latest tools and technologies in the data ecosystem. Location: Chennai Experience: 10-15 Years | Full-Time | Work From Office If you are ready to shape the future of data alongside us, we invite you to apply now and embark on this exciting journey!,

Are you a skilled Data Architect with a passion for tackling intricate data challenges from various structured and unstructured sources Do you excel in crafting micro data lakes and spearheading data strategies at an enterprise level If this sounds like you, we are eager to learn more about your expertise. In this role, you will be responsible for designing and constructing tailored micro data lakes specifically catered to the lending domain. Your tasks will include defining and executing enterprise data strategies encompassing modeling, lineage, and governance. You will play a crucial role in architecting robust data pipelines for both batch and real-time data ingestion, as well as devising strategies for extracting, transforming, and storing data from diverse sources like APIs, PDFs, logs, and databases. Furthermore, you will be instrumental in establishing best practices related to data quality, metadata management, and data lifecycle control. Your hands-on involvement in implementing processes, strategies, and tools will be pivotal in creating innovative products. Collaboration with engineering and product teams to align data architecture with overarching business objectives will be a key aspect of your role. To excel in this position, you should bring to the table over 10 years of experience in data architecture and engineering. A deep understanding of both structured and unstructured data ecosystems is essential, along with practical experience in ETL, ELT, stream processing, querying, and data modeling. Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python is a must. Additionally, expertise in cloud-native data platforms like AWS, Azure, or GCP is highly desirable, along with a solid foundation in data governance, privacy, and compliance standards. While exposure to the lending domain, ML pipelines, or AI integrations is considered advantageous, a background in fintech, lending, or regulatory data environments is also beneficial. This role offers you the chance to lead data-first transformation, develop products that drive AI adoption, and the autonomy to design, build, and scale modern data architecture. You will be part of a forward-thinking, collaborative, and tech-driven culture with access to cutting-edge tools and technologies in the data ecosystem. If you are ready to shape the future of data with us, we encourage you to apply for this exciting opportunity based in Chennai. Join us in redefining data architecture and driving innovation in the realm of structured and unstructured data sources.,

Roles And Responsibilities Implement and maintain Continuous Integration and Continuous Deployment pipelines to facilitate seamless code integration and delivery. Ensure consistency across development, testing, and production environments. Set up and manage monitoring tools to ensure system reliability and performance. Analyze logs for troubleshooting and performance tuning. Work closely with development, QA, and operations teams to ensure successful delivery and deployment of applications. Develop, maintain, and optimize shell scripts for automation of tasks and processes. Manage and execute deployment processes for Java-based applications, ensuring high availability and performance. Oversee the end-to-end release process, including planning, scheduling, and coordinating releases across multiple environments. Troubleshooting techniques and fixing the code bugs Identifying and deploying cyber-security measures by continuously performing vulnerability assessment and risk management. Incidence management and root cause analysis. Required Skills Minimum qualification - Bachelor’s degree in Engineering or Computer Applications 3+ years of experience as a DevOps Engineer or similar software engineering role. Must have experience working with any cloud platforms like AWS,Azure or GCP. Experience working with Instance setup,handling S3 buckets/blob, and RDS. Proficient in shell scripting (Bash, etc.) with a strong understanding of automation tools and frameworks. Proven experience in deploying and managing Java-based applications both manually and automatically. Experience in Manual deployment is a must. Solid understanding of release management processes and best practices. Hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.). Version Control: Proficiency with version control systems (Git, Bitbucket etc.). Must have a strong experience in handling the Nginx Configuration files and handling Nginx as a reverse proxy. Experience in handling SSL Certificates and DNS management. Must have a strong Experience with environment configuration and management. Experience in handling MySQL/MariaDb Queries. Good to have knowledge on handling the YAML Property files. Understanding of Containerisation (Docker) and Orchestration (Kubernetes,EKS) techniques. Strong analytical and troubleshooting skills. Excellent verbal and written communication skills. Location: Chennai Experience: 3 - 8 years Notice period: Immediate Joiner, less than 30 days