Engineer jobs in India

• Heading the family office investments - sourcing, evaluating, and executing investment opportunities (PIPEs, VC/PE deals, public markets)
• Heading Strategic projects for the promotors office on new initiatives across growth, new ventures and organisational transformation

As an SE3, you will responsible for designing, developing, and maintaining critical systems. You will be responsible to build scalable, production-grade applications, and mentor junior engineers, providing them technical guidance.

Job Title: Senior Quality Engineer (Automation & Manual Testing)Job Summary:We are seeking an experienced Quality Engineer to join our team, with a strong background in automation testing using Selenium and expertise in Behavior-Driven Development (BDD) using Cucumber framework. The ideal candidate will have a solid understanding of software testing principles, excellent manual testing skills, and the ability to work effectively in both automated and manual testing capacities. As a Senior Quality Engineer, you will play a key role in ensuring the quality of our software applications, collaborating with cross-functional teams, and contributing to the development of our testing strategies.

Key Responsibilities:

• Design, develop, and maintain automated test scripts using Selenium WebDriver, focusing on functional and regression testing
• Utilize BDD framework (Cucumber) to create and execute automated tests, ensuring test coverage and reliability
• Collaborate with development teams to identify and prioritize testing requirements, and develop test plans and strategies
• Execute manual testing as needed, including exploratory testing, usability testing, and ad-hoc testing
• Analyze and report defects, providing detailed descriptions and steps to reproduce issues
• Work closely with developers to reproduce and resolve defects, ensuring timely resolution and minimal impact on product quality
• Develop and maintain test automation frameworks, tools, and infrastructure to support testing efforts
• Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives
• Stay up-to-date with industry trends, tools, and best practices in software testing and automation

Requirements:

• 4+ years of experience in software testing, with a focus on automation testing using Selenium
• Strong expertise in Selenium WebDriver, including Java or other programming languages
• Experience with BDD framework (Cucumber) and behavior-driven development principles
• Excellent manual testing skills, with the ability to create test cases, test plans, and test scripts
• Strong understanding of software testing principles, including functional, regression, and exploratory testing
• Experience working in agile development environments, with familiarity with Scrum or Kanban methodologies
• Excellent analytical, problem-solving, and communication skills
• Ability to work collaboratively in a team environment, with a strong focus on quality and attention to detail
• Willingness to adapt to changing priorities and deadlines, with a flexible and proactive approach to testing

Nice to Have:

• Experience with other automation tools and frameworks, such as Appium, TestNG, or JUnit
• Knowledge of cloud-based testing platforms, such as Sauce Labs or TestObject
• Familiarity with containerization using Docker
• Experience with CI/CD pipelines, including Jenkins or other continuous integration tools
• Certification in software testing, such as ISTQB or CSTE

The role of Sr. Engineering Manager- DevOps involves leading and managing DevOps initiatives to ensure seamless application deployment and infrastructure efficiency. This position in Bengaluru requires a strong understanding of DevOps practices and the ability to drive operational excellence in the technology sector.

We are searching for skilled SAP BW / BW4HANA Developer and Data engineer to join our dynamic team. The role involves working closely with business stakeholders to understand business requirement and translating them into technical specifications and ensure successful deployment.

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

A global PE investment fund based in Mumbai is looking to hire an Analyst in their Investment Team

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery on multiple implementations of changes in product centric delivery model.

Quality Engineers are responsible to implementing quality assessments throughout the entire Software Development Life Cycle (SDLC) to ensure high standards in product-centric delivery.

• The Quality Engineers works with Architects, Solution Designers, Developers, Product Owners, Project Managers and others to help ensure high quality and timely delivery
• The Quality Engineers plans and executes manual/automated/Non-Functional testing throughout the development cycle throughout the project, and communicates frequently with team members regarding quality status, and helps to resolve test impacts

Hiring for a PE-Backed Portfolio Company - a cloud-first, omnichannel retail ERP suite provider headquartered in Gurgaon.

We are looking for a skilled and passionate Full-Stack Software Engineer with strong expertise in Java (backend) and React.js (frontend) to join our development team. You will be responsible for designing, developing, and maintaining scalable web applications, working across the full software development lifecycle.

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks whilst conforming to UK IT Testing Services processes and standards.
To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks iwhilst conforming to UK IT Testing Services processes and standards.
To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks whilst conforming to UK IT Testing Services processes and standards.

To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.

Platform owner who manages the overall platform with his/her Engineering skills and experience, having sound product & business acumen, strong stakeholder management. Platform owner will guide and mentor multiple engineer teams acting as a catalyst for faster business delivery by streamlining and simplifying processes, monitoring engineering productivity

• Lead Cloud Migration: Drive the transition of data center-based infrastructure to AWS, focusing on containerization and the migration of up to 40 servers.
• Architecture & Design: Collaborate with software engineers and architects to design cloud-based solutions that are scalable, secure, and optimized for performance.

Your Responsibilities

• Develop, optimize, and deploy embedded machine learning models.
• Ensure performance, memory optimization, and energy efficiency of AI solutions.
• Integrate ML algorithms with embedded controllers and edge computing platforms.
• Collaborate closely with automation and software engineers to translate AI solutions into production-grade embedded systems.

Our Requirements

• Degree in Computer Science, Electrical Engineering, or related field.
• Strong proficiency in Python, C/C++, and embedded programming.
• Experience with embedded ML frameworks (e.g., TensorFlow Lite, ONNX, Edge Impulse).
• Understanding of real-time embedded systems and microcontroller architectures.
• Minimum of 2 years of relevant experience with Embedded Systems and AI/ML

Job Location: Bengaluru, India
Job Type: Full-time
Experience: 2+ years

 Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components.
 Design and develop data models using industry-standard modeling techniques and tools.

VP - FP&A will be responsible for driving the overall Financial Planning and Analysis agenda for the firm and help transform the team, data and process to world class.The FP&A leader would not only run the regular reporting for management, but be the business partner knowing the pulse of the business and providing insights/ analysis to Management/ lenders and PE partners.

This is an excellent opportunity for an ambitious Electrical and Automation Head for leading a team of engineers to design, develop, and optimize cutting-edge electrical and automation systems.

Chief Financial Officer (CFO) - Venture Capital and Private Equity
Seeking a seasoned CFO with 20+ years of experience in VC/PE or investment-led environments to lead financial strategy, fund operations, compliance, and investor reporting at a high-growth early-stage investment firm.

We're hiring for an SDE-2 Backend role in Bangalore! Looking for engineers with strong backend experience (Java preferred, open to other tech stacks), ideally from a fintech background. Work from office, 5 days a week. If you're up for an exciting challenge, Let's connect.

Manage a spectrum of clients in Fortune-500, Large & Small Enterprises and SMBs, in the BFSI domain (Banks, NBFCs, Fintech firms, Insurance Companies, PE/VC funds) across talent acquisition, managing exisitng accounts and tap into white spaces.

We are seeking an experienced React Native Software Development Engineer (SDE II) to join our mobile application development team. In this role, you will design, develop, and maintain high-quality cross-platform mobile applications using React Native, collaborate with cross-functional teams, and contribute to our mobile application architecture.

Develop and manage IT Strategy and road-map to support business growth.
Responsible for Technology architecture and Integration of IT applications. Develop and design holistic solutions for business problems across applications, data and infrastructure.
Develop & Enforce architecture governance and standards.Work with Business stakeholders to identify technology needs and constantly innovate and engineer solutions with emerging technologies.

Total Exp- 6+yearsKey Responsibilities:

• Develop and optimize ETL pipelines using PySpark and Databricks.
• Work with large-scale datasets and build distributed computing solutions.
• Design and implement data ingestion, transformation, and processing workflows.
• Write efficient and scalable Python code for data processing.
• Collaborate with data engineers, data scientists, and business teams to deliver insights.
• Optimize performance and cost efficiency for big data solutions.
• Implement best practices for CI/CD, testing, and automation in a cloud environment.
• Monitor job performance, troubleshooting failures, and tuning queries.

Required Skills & Qualifications:

• 6years of experience in Python programming for data engineering.
• Strong hands-on experience with Apache Spark (PySpark) for data transformation.
• Experience working with Databricks for data processing and analytics.
• Good knowledge of SQL and NoSQL databases.
• Experience with Cloud platforms (Azure, AWS, or GCP) and storage solutions.
• Familiarity with CI/CD pipelines, DevOps practices, and automation tools.
• Understanding of data lake, data warehouse, and data modeling concepts.
• Knowledge of job orchestration tools like Airflow, Azure Data Factory, or AWS Glue.
• Strong problem-solving and debugging skills in distributed environments.

Good to Have:

• Experience with Delta Lake and Lakehouse architecture.
• Familiarity with Kafka or real-time data processing.
• Knowledge of MLflow and integrating ML models in Databricks.
• Experience with Scala for Spark-based applications.