Hiring for: One of India's leading Housing Finance companies Job title: Tech Lead - .NET & Angular Years: 8 to 12 years Salary: 30L range Joining: 15 to 30 days max Location: Chennai - WFO (alternate Saturday working) IMPORTANT: Only candidates with prior experience of building HRMS modules will be considered (e.g. Employee Self Service, Time & Attendance, Payroll, Performance Management, Recruitment etc.) Role: Be part of the Group IT team and lead HRMS projects for group entities. Lead new product development, enhancement to existing modules, implementation and integration of 3rd party HR tools. Stakeholder management across IT and HR along with working with a cross-functional team of business analysts, developers and business users. Must have: Overall 8 to 12 years of IT experience, of which minimum 2 years in implementing at HRMS projects. Proven experience as a Full Stack Developer / Tech Lead with expertise in both Angular and .NET development. Front End: Strong knowledge of Angular (Angular 14+), including component-based architecture, routing, and state management. AngularJS experience is an added advantage. Backend: Experience in developing RESTful API (WEB API) using .NET 6 Database: Microsoft SQL Server 2017, 2019, 2022 Proficiency in TypeScript, HTML, CSS, JavaScript, C#, and the .NET framework. Experience with front-end build tools (e.g., Webpack) and package managers (e.g., npm). Familiarity with RESTful API design and development. Strong problem-solving and debugging skills. Ability to work independently and collaboratively within a team. Excellent communication and interpersonal skills. Strong attention to detail and a commitment to producing high quality code. Knowledge of database systems, SQL, and ORM frameworks (e.g. ADO.NET, Entity Framework). Familiarity with cloud platforms (e.g., Microsoft Azure, AWS). Understanding of containerization technologies (e.g., Docker). Experience with DevOps practices and CI/CD pipelines. Certification in relevant technologies (e.g., Microsoft Certified Developer, Angular Certification)

Hiring for : A 22 year old, US based IT Products and Solutions business, ~2500 employees, with a diverse set of clients across large enterprises and well-funded startups in Financial Services, Healthcare, Education etc. Experience : 5+ years in QA with strong experience in IoT or embedded systems testing. Job Location : Pune, hybrid. Joining : Immediate joining preferred. Budget - Upto 45L (based on the skills & fitment) IMPORTANT : -Experience with some form of IOT equipment in any vertical is a must -Own end-to-end testing strategy from edge devices to cloud to UIensuring test coverage of entire product workflows Required Skills : 10+ years of experience in Quality Assurance , with at least 5+ years in a leadership or management role . Proven experience with business-level stakeholder management , engaging with senior business leaders and cross-functional teams to align testing objectives with business goals. Strong communication and presentation skills to manage both technical and non-technical stakeholders. Extensive experience with test automation tools (e.g., Selenium, Jenkins, QTest, TestRail, Appium, Postman, BrowserStack, etc.). Knowledge of Tricentis is a plus. Solid understanding of manual testing, test planning, test execution, and defect management. Proven experience leading and mentoring QA teams to achieve high-quality results. Strong experience in performance testing, security testing, and API testing (e.g., RESTful APIs, SOAP). Hands-on experience with mobile app testing (e.g., iOS, Android) and web app testing (cross-browser, cross-platform). Strong knowledge of Agile and DevOps methodologies , as well as tools like JIRA, Confluence, and test management tools. Proven experience with IoT software testing , including device testing, communication protocols, and data validation. Experience with embedded systems testing and firmware testing is a must. Experience with hardware testing or IoT equipment is a significant advantage. Familiarity with SAP or Salesforce testing is good to have but not required. Excellent problem-solving skills with the ability to troubleshoot defects efficiently. Strong leadership and interpersonal skills, with the ability to guide and develop team members. Bachelors degree in computer science, Engineering, or a related field. Key Responsibilities: Lead and manage the QA team to ensure the highest quality of software across various platforms, including IoT systems, embedded devices, mobile apps, web apps, and APIs. Own and develop comprehensive end-to-end testing strategies , from edge devices to cloud to UI, ensuring full test coverage of the entire product workflow. Engage with business-level stakeholders , working closely with senior business leaders to define testing objectives, strategies, and product requirements. Align QA processes with business goals and ensure clear communication of testing priorities and timelines. Collaborate with cross-functional teams (Product Management, Development, Operations) to define testing strategies for new and existing products. Guide and mentor the QA team on best practices for test automation, manual testing, performance testing, security testing, and IoT-specific testing. Develop and monitor key performance indicators (KPIs) for the QA team, ensuring projects meet the required standards of quality. Establish and drive continuous improvement initiatives to optimize test efficiency, quality, and speed. Stay up-to-date with the latest trends and technologies in QA, including mobile app testing, web app testing, API testing, IoT testing, and embedded systems. Ensure thorough test coverage across all projects, including both functional and non-functional testing for IoT systems, devices, and applications. Collaborate with security teams to ensure application security and compliance with industry standards. Monitor and report on the progress of testing activities, documenting issues, and collaborating with development teams to resolve defects. Foster a quality-first mindset across the team and organization. Nice to Have: Salesforce and SAP testing knowledge (experience with Salesforce customizations, integrations, and SAP modules like SAP ECC or SAP S/4HANA) is beneficial but not required. Certifications in IoT , Embedded Systems Testing , or Mobile Testing (e.g., ISTQB, Appium) would be advantageous. Familiarity with CI/CD pipelines and DevOps best practices . Experience in load testing and performance testing using tools like JMeter or LoadRunner. Knowledge of AI/ML testing or other emerging technologies. Experience with cloud-based applications and microservices architecture.

Hiring for: A leading well funded B2B SaaS company serving global CPG clients in the supply chain domain. Part of one of the largest global Analytics consulting firms. Positions: 2 Location: Bangalore (Hybrid) Experience: Min. 6 years in DS, overall could be more Preferred Joining: Immediate to 30 days Reporting to: Director of Data Science Direct Reports: Zero (this is an IC role) Salary: 50L+ range based on fitment and skills Overview: As a Lead Data Scientist, you will be instrumental in shaping the company's next-generation AI-driven demand planning and optimization products. You will lead the design and deployment of data science solutions that power the company's core decision intelligence engine driving measurable business impact for our global clients. From problem scoping to model deployment, you will own the full data science lifecycle and work closely with cross-functional teams to integrate intelligence into key decision-making workflows. Role & Responsibilities: Conduct exploratory data analysis to uncover trends, patterns, and insights from complex datasets Design, train, and deploy machine learning and deep learning models for time series use cases such as demand forecasting, inventory management, and pricing Extract data insights, create visualizations, and communicate findings to technical and non-technical stakeholders Build and maintain data science pipelines for model development, deployment, monitoring, and updates Collaborate with engineering, product, and business teams to integrate models into production systems and align with client goals Research and prototype new algorithms and modelling techniques to improve solution performance Monitor and evaluate model performance and iterate based on finding Requirements: 6+ years of experience in data science, machine learning, or analytics roles Experience with time series analysis, forecasting, and predictive modelling. Proficient in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel Familiarity with deploying machine learning solutions and managing model lifecycle Ability to work with engineering and product teams to scope and deliver projects Ability to explain modelling choices, data assumptions, and outcomes to stakeholders Exposure to statistical methods, optimization, and model monitoring frameworks Prior experience working in CPG, FMCG, or retail industries is a plus

Hiring: Data Engineering Senior Software Engineer / Tech Lead / Senior Tech Lead - Hybrid (3 Days from office) | Shift: 2 PM 11 PM IST - Experience: 5 to 12+ years (based on role & grade) Open Grades/Roles : Senior Software Engineer : 58 Years Tech Lead : 7–10 Years Senior Tech Lead : 10–12+ Years Job Description – Data Engineering Team Core Responsibilities (Common to All Levels) : Design, build and optimize ETL/ELT pipelines using tools like Pentaho , Talend , or similar Work on traditional databases (PostgreSQL, MSSQL, Oracle) and MPP/modern systems (Vertica, Redshift, BigQuery, MongoDB) Collaborate cross-functionally with BI, Finance, Sales, and Marketing teams to define data needs Participate in data modeling (ER/DW/Star schema) , data quality checks , and data integration Implement solutions involving messaging systems (Kafka) , REST APIs , and scheduler tools (Airflow, Autosys, Control-M) Ensure code versioning and documentation standards are followed (Git/Bitbucket) Additional Responsibilities by Grade Senior Software Engineer (5–8 Yrs) : Focus on hands-on development of ETL pipelines, data models, and data inventory Assist in architecture discussions and POCs Good to have: Tableau/Cognos, Python/Perl scripting, GCP exposure Tech Lead (7–10 Yrs) : Lead mid-sized data projects and small teams Decide on ETL strategy (Push Down/Push Up) and performance tuning Strong working knowledge of orchestration tools, resource management, and agile delivery Senior Tech Lead (10–12+ Yrs) : Drive data architecture , infrastructure decisions , and internal framework enhancements Oversee large-scale data ingestion, profiling, and reconciliation across systems Mentoring junior leads and owning stakeholder delivery end-to-end Advantageous: Experience with AdTech/Marketing data , Hadoop ecosystem (Hive, Spark, Sqoop) - Must-Have Skills (All Levels): ETL Tools: Pentaho / Talend / SSIS / Informatica Databases: PostgreSQL, Oracle, MSSQL, Vertica / Redshift / BigQuery Orchestration: Airflow / Autosys / Control-M / JAMS Modeling: Dimensional Modeling, ER Diagrams Scripting: Python or Perl (Preferred) Agile Environment, Git-based Version Control Strong Communication and Documentation