About the Role: We are looking for a seasoned data operations leader to spearhead and scale our India Global Capability Center (GCC) focused on data governance, high-volume data operations, cataloging, and operational excellence. This is a strategic leadership role for someone with a strong foundation in data management and enterprise-scale transformation, who has successfully built and led large, cross-functional teams (200+ FTEs) in global organizations. The role demands a blend of data strategy expertise, process optimization acumen, and people leadership, with accountability for delivery excellence, stakeholder engagement, and continuous improvement of data operations across multiple domains Key Responsibilities: Leadership & Scale-up: Establish and lead the India GCC focused on data-centric operations including master data management, data quality, cataloging, and lifecycle governance. Drive the scaling strategy , hiring, and organizational structure to build a high-performing team aligned to global standards. Cultivate a culture of ownership, operational discipline , and data-driven excellence . Data Governance & Management: Oversee implementation and adoption of data governance controls , including data quality frameworks, data cataloging, data lineage, and lifecycle management. Operational Excellence: Implement robust process optimization strategies to improve efficiency, scalability, and compliance within data entry, enrichment, and governance workflows. Drive automation initiatives and quality assurance programs for sustainable operational performance. Stakeholder Management: Act as a trusted advisor to global business units , product teams, and functional leaders on matters related to data operations and governance. Collaborate with Global Process Owners (GPOs), Communities of Practice (CoP), and IT leadership to align priorities and execution. Program Delivery & Compliance: Ensure delivery against SLA/KPI commitments while maintaining data integrity, privacy, and regulatory compliance. Lead transformation initiatives including enterprise data governance rollouts. Ideal Candidate Profile: 20+ years of experience in data governance, data management, data operations, and enterprise transformation. Proven ability to scale and lead large teams (200+ FTEs) across shared services or capability center models. Strong understanding of data entry operations, cataloging processes, and data lifecycle best practices. Experience in managing cross-functional delivery Exceptional communication skills and experience engaging with C-level executives and global stakeholders. Preferred Qualifications: Bachelor's degree in Computer Engineering, Information Systems , or related field. Demonstrated success in GCC setup or transformation programs , preferably in a data-heavy or compliance-driven environment. Strategic thinker with a hands-on approach to governance, compliance, and delivery excellence . Show more Show less

About the Role: We are seeking a dynamic and strategic leader to head our India Global Capability Center (GCC), driving end-to-end ownership across product engineering, delivery operations, and resourcing strategy. This role requires a balanced blend of leadership and technical acumen, with approximately 40% hands-on contribution to technical delivery. The ideal candidate will bring a strong track record in scaling teams, optimizing engineering and operational processes, and building high-performance squads aligned to product and business goals. Key Responsibilities: Lead and scale the India GCC to support global delivery objectives. Define and implement the operational model, aligning with hub-and-spoke architecture post-scale. Build a self-sufficient team structure with full ownership and accountability. Technical Delivery Oversight (40% Hands-On) Drive hands-on involvement in critical technical delivery, architecture reviews, and solution design across core platforms and products. Experience with database and Data warehousing implementation (Snowflake, DB2,SQL) Experience in Java and Springboot implementations Maintain high standards of engineering quality, code health, and platform scalability. Process Optimization & Agile Transformation Implement delivery frameworks to improve predictability, efficiency, and time-to-market. Introduce lean processes for development, testing, deployment, and support. Resourcing & Squad-Based Organization Create a resourcing roadmap to support long-term scalability and short-term demand. Build squad-based teams structured around Squad Leaders to drive accountability and agility. Reduce vendor dependency through strategic rebadging and internal capability building. Cross-Functional Collaboration Work closely with global product, technology, and operations leaders to align GCC initiatives with broader business strategy. Act as a strategic advisor on delivery readiness, scalability, and operational risk. Ideal Candidate Profile: 20 + years of experience in product engineering, delivery leadership, and GCC operations working with global teams Proven experience in scaling engineering teams of 200+ HC, preferably across product companies Strong technical background with recent hands-on contributions in solution architecture or engineering execution leveraging Database, Data warehousing, Java and Springboot implementations (approx. 40%). Expertise in Agile/Lean methodologies, process optimization, and squad-based delivery models. Demonstrated success in vendor transition, internal capability ramp-up, and location strategy execution Excellent stakeholder management, with strong communication skills and strategic mindset. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field Exposure to global product organizations and experience collaborating across time zones Experience in setting up and running a GCC or equivalent offshore delivery center Show more Show less

Job Summary: We are seeking an experienced and visionary Vice President of Engineering to lead and scale GCC centre in Trivandrum/Kochi . This role demands strong technical expertise, strategic leadership, and a deep understanding of modern technologies such as AI, Large Language Models (LLMs), React, Spring Framework, and Python. The ideal candidate will possess the ability to build high-performing teams, foster innovation, and drive the delivery of scalable and cutting-edge software solutions. Key Responsibilities: Lead and grow a world-class engineering team focused on delivering high-impact, scalable technology solutions. Define and execute the engineering strategy aligned with business goals and product vision. Drive innovation in AI/ML, particularly in areas involving LLMs, vector databases, and other modern AI technologies. Ensure best practices in software architecture, design patterns, and development lifecycle. Collaborate cross-functionally with Product, Data, and Business teams to deliver customer-centric features. Own the engineering roadmap, resource planning, and performance metrics. Promote a strong engineering culture emphasizing interpersonal skills, communication, and data-driven decision making. Ensure security, scalability, and reliability across all systems and services. Evaluate and implement new technologies to maintain a competitive edge. Required Skills & Qualifications: Proven experience leading engineering teams in high-growth environments. Deep expertise in AI/ML, including LLMs and vector databases. Strong command of React, Spring Framework, and Python. Solid foundation in software design patterns, architecture, and modern DevOps practices. Excellent strategic thinking, interpersonal, and communication skills. Ability to make decisions grounded in data and business context. Track record of building scalable, secure, and robust platforms/products. Experience with cloud-native development (AWS, Azure, or GCP) is a plus. Bachelor’s or master’s degree in computer science, Engineering, or a related field. Show more Show less

Job Summary: We are seeking a highly motivated and experienced Senior Recruiter (Contract) to join our Talent Acquisition team within a fast-paced business consulting environment . The ideal candidate will bring a consultative approach to hiring, strong stakeholder management skills, and a proven ability to deliver high-quality talent across diverse roles. This is a key role that will directly support business growth by driving recruitment efforts across consulting, corporate, and functional teams. Key Responsibilities: Collaborate closely with hiring managers and business leaders to understand role requirements, talent needs, and organizational goals. Drive the full-cycle recruitment process—from sourcing and screening to interviewing, offer management, and onboarding. Proactively source candidates through a variety of channels including job boards, LinkedIn, referrals, and professional networks. Engage and build relationships with candidates, ensuring a high-quality experience throughout the process. Schedule and coordinate interviews, ensuring alignment with internal stakeholders and timelines. Provide market intelligence and talent insights to hiring teams and influence decision-making. Maintain accurate and up-to-date records in the Applicant Tracking System (ATS) and prepare weekly hiring reports and dashboards. Partner with HR and business teams to ensure smooth onboarding and integration of new hires. Required Skills & Qualifications: Bachelor’s degree in Human Resources, Business Administration, or a related field. 5–8 years of recruitment experience, preferably within consulting, professional services, or fast-paced corporate environments. Strong sourcing skills and deep familiarity with platforms like LinkedIn, Naukri, and other relevant channels. Excellent communication, stakeholder management, and interpersonal skills. Proven ability to manage multiple roles and priorities independently. Proficiency in ATS platforms and Microsoft Office tools. Show more Show less

Job Summary: We are seeking a highly motivated and experienced Senior Recruiter (Contract) to join our Talent Acquisition team within a fast-paced business consulting environment . The ideal candidate will bring a consultative approach to hiring, strong stakeholder management skills, and a proven ability to deliver high-quality talent across diverse roles. This is a key role that will directly support business growth by driving recruitment efforts across consulting, corporate, and functional teams. Key Responsibilities: Collaborate closely with hiring managers and business leaders to understand role requirements, talent needs, and organizational goals. Drive the full-cycle recruitment process—from sourcing and screening to interviewing, offer management, and onboarding. Proactively source candidates through a variety of channels including job boards, LinkedIn, referrals, and professional networks. Engage and build relationships with candidates, ensuring a high-quality experience throughout the process. Schedule and coordinate interviews, ensuring alignment with internal stakeholders and timelines. Provide market intelligence and talent insights to hiring teams and influence decision-making. Maintain accurate and up-to-date records in the Applicant Tracking System (ATS) and prepare weekly hiring reports and dashboards. Partner with HR and business teams to ensure smooth onboarding and integration of new hires. Required Skills & Qualifications: Bachelor’s degree in Human Resources, Business Administration, or a related field. 5–8 years of recruitment experience, preferably within consulting, professional services, or fast-paced corporate environments. Strong sourcing skills and deep familiarity with platforms like LinkedIn, Naukri, and other relevant channels. Excellent communication, stakeholder management, and interpersonal skills. Proven ability to manage multiple roles and priorities independently. Proficiency in ATS platforms and Microsoft Office tools. Show more Show less

About the Role: We are seeking a highly skilled and hands-on GenAI expert to join our team and help shape our AI strategy from the ground up. The ideal candidate will not only bring deep technical knowledge but also a product-first mindset and a passion for delivering value through responsible and efficient AI deployment. This is a high-impact role with the potential to lead and build a team around. Key Responsibilities: Develop and refine GenAI applications leveraging foundation models (LLMs, VLMs) for real-world use cases. Fine-tune foundation models using proprietary and domain-specific data to enhance model relevance and performance. Own the full AI lifecycle including experimentation, evaluation, production readiness, and value realization. Define and track key AI metrics; implement monitoring and feedback loops to measure model effectiveness post-deployment. Apply traditional ML techniques (clustering, classification, vector search) as complementary strategies where appropriate. Build and deploy AI agent frameworks that can autonomously interact with tools, data stores, and other models to solve tasks end-to-end. Collaborate cross-functionally to integrate GenAI systems into existing platforms, ensuring scalability, efficiency, and business alignment. Ask the right questions to iterate, refine, and evolve AI solutions. Qualifications: Proven experience building GenAI-powered applications using LLMs, VLMs, and custom pipelines. Strong knowledge of model fine-tuning techniques and prompt engineering using proprietary data. Practical understanding of AI productization, lifecycle, metrics, and monitoring strategies. Hands-on experience with AI agent frameworks and related orchestration tools. Ability to articulate technical solutions, integration patterns, and tradeoffs effectively. Experience with Python, ML libraries (e.g., Hugging Face, LangChain, PyTorch, TensorFlow), and deployment in cloud environments (AWS, Azure, GCP). Preferred: Experience in a startup or innovation lab environment. Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG). Exposure to ethical AI, model interpretability, and responsible deployment practices. Show more Show less

Key Responsibilities Conduct in-depth market research and benchmarking to identify suitable geographies, workspace models, and vendors for office setups – internal or Client. Liaise with brokers, landlords, and workspace providers to evaluate options, negotiate terms, and align space offerings with client requirements. Evaluate shortlisted properties and workspace solutions (e.g., leased, co-working, managed spaces) and present data-driven recommendations. Develop real estate strategies aligned with headcount growth projections, and operational needs, balancing cost, flexibility, and scalability. Create financial models comparing workspace options, highlighting total cost of ownership, ROI, and budget impact to support strategic decision-making. Engage with client team - leadership, finance, HR, and IT to capture space requirements and ensure cross-functional buy-in on location and format choices. Recommend fit-outs, layout configurations, and facility mix (meeting rooms, collaboration zones, amenities) tailored to the business’s operating style. Oversee end-to-end execution of the workspace setup—vendor coordination, timelines, compliance checks, and readiness for occupancy. Ensure contracts, approvals, and project milestones are documented and aligned with internal policies and legal standards. Provide regular updates and dashboards to leadership on progress, risks, cost tracking, and market shifts impacting workspace strategy. Qualifications & Experience: Education : Master’s degree or MBA is preferred Experience : 5–10 years of Experience in working with global organizations, managed workspace providers, or real estate consulting firms. Familiarity with flexible workspace models (e.g., co-working, managed offices) and multi-location setup projects is a plus. Show more Show less

About the Role: Summit Consulting is hiring a Legal Counsel who will work closely with multiple clients to review, draft, and negotiate client and vendor contracts, ensuring alignment with company policies and risk tolerance. Key Responsibilities Review, draft, and negotiate client and vendor contracts, ensuring alignment with company policies and risk tolerance. Identify potential legal risks in agreements and propose appropriate modifications to protect the organization’s interests. Ensure contracts comply with applicable laws and regulations, including data privacy, intellectual property, and industry-specific requirements. Work closely with sales, procurement, and business teams to understand commercial requirements and provide timely legal support. Maintain a repository of executed contracts, track key milestones, renewal dates, and obligations to ensure compliance and timely actions. Assist in managing disputes arising from contractual relationships and collaborate with external counsel if needed. Help develop contracting policies and conduct training sessions for business teams on contract best practices. Conduct legal due diligence on new vendors and clients as part of the onboarding or partnership process. Create and maintain standard contract templates to streamline the contracting process and reduce turnaround times. Provide ongoing legal advice related to contracts and escalate critical issues to senior management with clear recommendations. Qualifications & Experience: Education : Bachelor of Laws (LLB) degree; additional qualifications like LLM or Corporate Law specialization preferred. Experience : 6 – 10 years of experience in: Experience reviewing and negotiating client/vendor contracts in sectors such as IT, consulting, or services. Strong understanding of commercial law, intellectual property, confidentiality, and compliance.

Description As a key member of our team, you will support our product development teams with insights gained from analyzing company data with respect to potential opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods. The Senior Data Scientist II will lead data modeling and machine learning projects using a variety of data tools, modeling approaches and algorithms. You will also design experiments to evaluate models by conducting AB testing and simulations. Key Responsibilities Able to translate product design requirements into pipeline of heuristic and stochastic algorithms Understand exploratory data analysis for product feasibility studies and ground truth testing Execute SQL queries and/or python scripts to manipulate, analyze and visualize data Able to implement explainable AI solutions and rationalize model inferences Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews Works with Machine learning engineer/architect to deploy data products into production Follows and understands legal data use restrictions Contributes to algorithm library development and design for ML, NLP and XAI Delivers product pipelines for deployment to production Builds applications that integrate third party and self-hosted foundation models. Fine tunes open source foundation models (LLMs, VLMs) with proprietary data Develops autonomous AI inference and tool use orchestration using ReAct AI agents Provides root cause analysis for machine learning model inference Completes data analysis or processing tasks as directed Documents data product end to end design and development Data annotation, labeling and other related data generation activities Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members Presents and holds data product updates and trainings Updates team on data product performance Education & Experience Strong problem solving skills with an emphasis on product development. 6+ years of experience developing data science products Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets. Hands-on generative AI development Experience using foundation models (LLMs, VLMs) Experience with model fine tuning of open source foundation models with proprietary data Experience leveraging AI metrics for monitoring and value tracking Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries. Deep knowledge of data science concepts and related product development lifecycle Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc. Working knowledge of machine learning tuning optimization procedures Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Preferred Experience with big data analytical frameworks such as Spark/PySpark Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc. Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.

About the Role We are looking for a technically strong Engineering Manager to join our growing platform team. This is an ideal opportunity for a hands-on technologist with a successful individual contributor background who has recently moved into engineering leadership (within the last 3–5 years). You’ll be instrumental in shaping the early engineering team, driving technical execution, and building high-quality SaaS applications in a production environment. Key Responsibilities Technical Ownership: Remain hands-on with code—contributing to architecture, design, reviews, and debugging across the stack (Python backend, React/TypeScript frontend). Team Building: Partner with recruitment and leadership to hire and build a strong, high-performing engineering team. CI/CD and DevOps: Implement and manage CI/CD pipelines using GitHub Actions and Workflows to ensure reliable, efficient software delivery. Agile Practices: Define and manage Jira workflows and tickets; lead sprint planning, retrospectives, and backlog grooming. Design Leadership: Actively participate in and contribute to technical and product design discussions. Mentorship: Guide and coach developers on technical tasks, coding standards, and career development. Collaboration: Work closely with Product, Design, and other cross-functional teams to deliver features and enhancements to the SaaS platform. Required Skills 10–15 years of total software development experience. 3–5 years of people management or tech lead experience. Proven track record as an individual contributor in a fast-paced, production SaaS environment. Tech Stack Expertise: Strong hands-on experience with Python for backend development. Proficiency in React and/or TypeScript for frontend development. Deep understanding of RESTful APIs, microservices, and cloud-native platforms. DevOps/Tooling: Practical experience with GitHub Actions , CI/CD pipelines, and containerization tools like Docker. Familiarity with observability tools, automated testing, and deployment strategies. Leadership: Able to lead by example—writing code, conducting code reviews, and setting engineering best practices. Experience defining engineering processes and growing high-performing teams from the ground up. Nice to Have Exposure to multi-tenant SaaS platforms and scaling distributed systems. Experience working in a startup or early-stage team-building environment. Familiarity with platform engineering, developer tooling, or internal platforms.

What You Will Do Technical Responsibilities Leverage 6+ years of hands-on software development experience to build, maintain, and enhance high-quality distributed web applications. Take full ownership of code quality, maintainability, and system performance, consistently identifying and driving technical improvements. Apply a deep understanding of OWASP guidelines and secure software practices. Demonstrate strong empathy for end users and use this insight to guide architectural and technical decisions. Proactively identify technical risks and present viable alternative solutions. Lead or participate in architectural design discussions and contribute to system-level planning and execution. Process & Collaboration Follow established SDLC and Agile development practices, including participation in stand-ups, sprint planning, retrospectives, and peer code reviews. Collaborate cross-functionally with product managers, analysts, and designers to ensure well-rounded, user-centric solutions. Ensure technical readiness for releases through planning, reviews, and quality assurance. Impact & Leadership Mentor and onboard junior developers, fostering a culture of learning and knowledge sharing. Lead small to moderately sized projects or components of larger initiatives. Write and maintain sophisticated, scalable code with minimal supervision. Troubleshoot and resolve complex bugs using advanced debugging techniques. Drive quality through robust API documentation, code reviews, and best practices. Actively contribute to internal technical documentation and knowledge-sharing sessions. Guide system design in areas of technical specialty and execute advanced code refactoring when needed. Experience Required: Minimum of 6 years of professional experience in software development, with exposure to project leadership or mentoring roles. Certifications Required: None Preferred: Relevant certifications in AWS, cloud architecture, or secure development (nice to have) Technical Skills Strong expertise in Python for distributed systems and web development (e.g., APIs, microservices, DB integration, message queues, caching, containers, serverless). Proficient in working with AWS services and APIs (or equivalent experience with Azure/GCP). Comfortable in Linux and macOS environments. Skilled in designing and building RESTful APIs using JSON. Proficient with Git and modern CI/CD pipelines . Experience in Agile/Scrum environments and working with 3rd-party APIs and integration workflows. Familiarity with large-scale or distributed web applications . Desirable: Experience with data processing, data engineering , or integration with AI/ML services and APIs.

As a Senior full-stack Software Engineer, you will play a pivotal role in developing and maintaining our enterprise software, enabling remote file access and collaboration for customers globally. Responsibilities: Lead in architecting and designing file access, sharing and collaboration platform used by thousands of users globally. Represent the team in technical discussions and be a key technical contributor to major new features. Able to independently design, implement, and test new features. Performance testing of the backend API services to ensure scaling and user experience requirements are met. Work closely with platform engineers, UX engineers, System test engineers to deliver our collective goals. Work with AWS technologies such as EC2, Aurora, Elasticache, API Gateway, and Lambda. Collaborate and work closely with UI / UX / Product and system test engineers to deliver our collective goals. Ensure that the user interface is intuitive, responsive, and visually appealing. Collaboration with engineering management, product management and key stakeholders to understand requirements and translate them into technical specifications. Be recognized as an expert in 1 or more technical areas. Respond to customer raised incidents in a timely manner, perform root cause analysis and implement preventative measures to avoid future incidents. Provide technical leadership to more junior engineers. Mentor, provide guidance on best practices and career development. Adopt and implement industry best practices for securing internet facing applications. Lead efforts to continuously improve development processes, tools, and methodologies. Technical Skills Required: In-depth knowledge of full-stack development is essential. Proficiency in programming languages using Python 3 , Python FastAPI , JavaScript (React) , Typescript . Strong knowledge of Linux , Git ( GitHub ), Docker (Containers), Jenkins , Postgres or MySQL databases are essential. Familiarity with CI/CD. In-depth knowledge building HTTP-based API ( RESTful or other types of APIs), including security, versioning, contracts and documentation. Exposure to cloud services, especially AWS . Experience in storage protocols like SMB and NFS will be an added advantage. Prior experience working with enterprise file sync and share solutions will be an added advantage. Excellent problem solving and troubleshooting skills. Experience working in an agile development environment, and a solid understanding of the agile methodologies. Strong communication and leadership skills, with the ability to mentor and inspire colleagues. Demonstratable experience testing and asserting the quality of the work you produce through writing unit, integration and smoke tests. Experience: BE/B.Tech, ME/M.Tech in computer science (or) Electronics and Communications (or) MCA 7 to 10 years’ previous experience in the industry. At least 5+ years of experience in full-stack development.

Job Summary We are seeking a skilled Software Engineer with strong proficiency in Python and distributed web application development. The ideal candidate will demonstrate technical expertise, an understanding of secure development practices, and a track record of delivering high-quality, scalable solutions in cloud-based environments. Essential Functions Technical Responsibilities Demonstrate self-sufficiency in at least one major area of the codebase. Exhibit mastery of one programming language (preferably Python) and actively develop proficiency in others, including frameworks and tools. Evaluate and present alternative technical solutions when solving problems. Possess strong understanding of: Relational databases and development frameworks Industry-standard libraries and tools Testing methodologies (unit, integration) Code quality and refactoring principles OWASP security principles and secure development practices Read and interpret existing code to identify improvements and enhancements. Understand interactions between major system components and sub-systems. Process & Agile Practices Adhere to SDLC and Agile processes, including: Scrum ceremonies Peer code reviews Sprint planning and release readiness Accurately estimate and prioritize assigned tasks. Understand and align with the product roadmap and team objectives. Champion secure software development practices and perform security reviews. Impact and Contributions Fix bugs of moderate complexity and demonstrate effective debugging skills. Independently develop new features and enhancements with minimal supervision. Participate in refactoring and modernization of existing code. Implement robust testing (unit and integration) as part of the development cycle. Contribute to internal documentation and technical knowledge bases. Deliver internal presentations and share technical knowledge with peers. Required Skills and Experience Minimum 4 years of experience in software engineering. Proficient in Python within distributed web application environments (e.g., microservices, APIs, DB integration, message queues, caching, containers, serverless architecture). Hands-on experience with AWS services and APIs (or equivalent cloud platforms like Azure or GCP). Strong development experience in OS X and Linux-based environments. Skilled in designing and building RESTful APIs and working with JSON. Familiarity with version control systems like Git. Experience with CI/CD pipelines and deployment processes. Working knowledge of Agile development methodologies (e.g., Scrum). Proven experience integrating with third-party APIs and external systems. Exposure to large-scale or distributed systems. Desirable Qualifications Experience in data engineering or data processing workflows. Familiarity with integrating AI/ML services, APIs, or models. Education Required: Bachelor’s degree in Computer Science, Engineering, or a related field Preferred: Master’s degree or relevant certifications (AWS, Scrum, Security)