About Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Role
We are looking for a highly skilled SDET to join our Agile development team. In this role, you will not just test software; you will deconstruct complex features to understand their design, build robust automation frameworks, and ensure the resilience of our cloud-based backup solutions.
You will work closely with developers to perform white-box and black-box testing, owning the quality of features from conception to deployment.

Required Skills & Qualifications

Operating Systems & Core Concepts:

• Proficiency in Windows and Linux OS.
• Deep understanding of Threading, Multiprocessing, and Socket Programming.
• Strong knowledge of Networking protocols and Cloud Architecture.

Programming & Scripting:

• Strong proficiency in one or more high-level languages: Python, Golang.
• Experience with SQL databases.

Testing & Tools:

• Expertise in RESTful API testing.
• Proficiency with bug and test management tools (e.g., Jira, XRay).
• Familiarity with Agile testing methodologies and quality metrics.
• Strong analytical, troubleshooting, and debugging capabilities.

Version Control:

• Proficiency with Git or SVN.

Pluses (Nice to Have)

• Familiarity with virtualization technologies (e.g., VMware).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra).

Key Responsibilities

• Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
• Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
• Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
• End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
• Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
• Infrastructure Management: Create, maintain, and document testbed setups and environments.
• Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
• Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.

Qualification:

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.

Experience : 3-6 Years 

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Summary

We are looking for experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
• Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
•  Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. 
• Work with data and analytics experts to strive for greater functionality in our data systems

Required Skills & Experience

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management. 
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.

Desired Skills & Experience

• 3+ years of experience in a Python Scripting and Data specific role, with bachelor's degree. 
• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work. 
• Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake. 
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra. 
• Experience with most or all the following cloud services: AWS, Azure, Snowflake, Google Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment.

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Overview 

We are looking for a savvy Reporting and Analytics Manager to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsibilities

Create and maintain optimal data pipeline architecture, assemble large, complex data setsthat meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.

 • Identify, design, and implement internal process improvements through: automating manual processes using Python, optimizing data delivery, re-designing infrastructurefor greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading ofdata from a wide variety of data sources using SQL / AWS / Snowflakes technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams toassist with data-related technical issues and support their data infrastructure needs. 

• Keep our data separated and secure across national boundaries through multiple datacenters and AWS regions.

• Work with data and analytics experts to strive for greater functionality in our data systems.

Experience :- • 

6+ years of experience in a Python Scripting and Data specific role, with bachelor’s degree.

• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work.

• Debugging code if it fails and find the solution. Should have basic knowledge of SQLserver job activity monitoring and also of Snowflake.

• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.

• Experience with most or all of the following cloud services: AWS, Azure, Snowflake, Google 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

FEQ425R230

As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark™ or Scala

The Principal Software Engineer I is a high-impact technical leadership role responsible for architecting and developing innovative, high-performance software systems. You will bridge the gap between complex business requirements and scalable technical solutions, ensuring that our engineering output remains world class and strictly compliant with industry standards.

As a senior technical authority, you will shape the technical direction of the team, fostering an environment of excellence and continuous improvement by leveraging modern, AI-augmented development workflows and robust cloud-native architectures. 

Location: Pune (Hybrid)

Key Responsibilities

• System Architecture & Development: Design, build, and maintain large-scale production services, web applications, high-throughput data pipelines, and real-time streaming systems.

• Technical Leadership & Mentorship: Provide high-level support to engineering teams, coaching developers and conducting rigorous code reviews to ensure validity, performance, and adherence to security standards.

• AI-Augmented Development: Drive engineering efficiency by integrating and championing the use of AI tools such as GitHub Copilot, Cursor, or Claude. Use these technologies to optimize boilerplate generation, complex refactoring, and deep architectural debugging.

• Operational Excellence: Debug complex production issues across various services and multiple levels of the stack; assist in refining organizational engineering standards and tooling.

 • SDLC Oversight: Lead the full Software Development Life Cycle (SDLC), from initial research and documentation to final certification and deployment.

• Quality Assurance: Lead the testing process, including test review, analysis, and witnessing to ensure software is robust and compatible with diverse operating systems.

• Continuous Innovation: Stay at the forefront of technology by researching emerging trends and participating in professional workshops to keep the organization competitive.

Required Skills & Qualifications (Must Have)

• Core Languages: Proficiency in Golang is highly preferred. Strong expertise in Java or Python is required.

• Cloud Infrastructure: Strong background in cloud-native development and infrastructure management (specifically AWS, GCP, or Azure).

• Data Management: Extensive experience with both SQL (PostgreSQL, MySQL) and NoSQL (Cassandra, or MongoDB) databases.

• SDLC & DevOps: Mastery of the full Software Development Life Cycle, including CI/CD pipelines, automated testing, and agile methodologies.

• AI Productivity: Proven experience using AI-powered development tools (e.g., Cursor, GitHub Copilot, Claude) to accelerate coding, automate documentation, and improve code quality.

• Leadership: Experience mentoring team members and making high-level architectural decisions. 

Preferred Qualifications (Good to Have)

• Cybersecurity Expertise: Preference will be given to candidates with Cybersecurity domain knowledge, SIEM, vulnerability remediation etc.

• Containerization: Hands-on experience with Docker and orchestration platforms like Kubernetes.

• Streaming Technologies: Familiarity with event-driven architectures and streaming platforms like Kafka or RabbitMQ etc.

• Advanced Automation: Ability to evaluate and implement AI-driven "agentic" workflows to further automate routine engineering tasks.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.