CLOUDSUFI

We are seeking a talented and passionate Data Engineer to join our growing data team. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines and infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data warehousing, ETL/ELT processes, and a passion for turning raw data into actionable insights. You will work closely with data scientists, analysts, and other engineers to support a variety of data-driven initiatives.

Responsibilities:

• Design, develop, and maintain scalable and reliable data pipelines using Dataform or DBT.

• Build and optimize data warehousing solutions on Google BigQuery.

• Develop and manage data workflows using Apache Airflow.

• Write complex and efficient SQL queries for data extraction, transformation, and analysis.

• Develop Python-based scripts and applications for data processing and automation.

• Collaborate with data scientists and analysts to understand their data requirements and provide solutions.

• Implement data quality checks and monitoring to ensure data accuracy and consistency.

• Optimize data pipelines for performance, scalability, and cost-effectiveness.

• Contribute to the design and implementation of data infrastructure best practices.

• Troubleshoot and resolve data-related issues.

• Stay up-to-date with the latest data engineering trends and technologies, particularly within the Google Cloud ecosystem.

Qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

• 3-4 years of experience in a Data Engineer role.

• Strong expertise in SQL (preferably with BigQuery SQL).

• Proficiency in Python programming for data manipulation and automation.

• Hands-on experience with Google Cloud Platform (GCP) and its data services.

• Solid understanding of data warehousing concepts and ETL/ELT methodologies.

• Experience with Dataform or DBT for data transformation and modeling.

• Experience with workflow management tools such as Apache Airflow.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Ability to work independently and as part of a team.

Preferred Qualifications:

• Google Cloud Professional Data Engineer certification.

• Knowledge of data modeling techniques (e.g., dimensional modeling, star schema).

• Familiarity with Agile development methodologies

What are we looking for

Primary Skills : ABAP, OOPS, RFC, BAPI, SLT, Table reader, ODATA

Secondary Skills : SAP HANA, SAP BASIS

Required Experience

● Must have prior experience of developing integration solutions around SAP ECC and SAP S4 HANA using SAP RFC, BAPI, IDOC and ODATA

● Must have good understanding on IDocs creation posting and doing the necessary ALE configuration

● Must have good understanding coding fundamentals in ABAP and ABAP OO

● Should have very good debugging skills, including the system debugging

● Should be familiar with SAP Authorisation Profiles Roles Objects

● Should have strong fundamentals in OOAD and Design Principles

● Should have experience of creating and modifying SAP Transport Requests eg releasing and adding new objects in TRs

● Should have understanding of Application areas like MM PP FI etc

● Should have good hands on experience with Software Engineering tools viz. JIRA, Confluence, BitBucket, SVN etc

● Should be very well verse with current technology trends in SAP and overall industry e.g.H4HANA, OData, Cloud Platform Development and deployment, DevOps, Low Code solutions, Intelligent Automation

Job Responsibilities

● Understanding the entire code base architectural considerations design related to the product features assigned

● Developing new features in the Product using OOAD methodology

● Maintaining current functionality by working on defects raised internally and externally

● Working closely with BASIS team to identify SAP Notes and applying to SAP servers for resolution

● Exploring new areas for integrating SAP with the third party applications

● Assisting the creation of the required SAP Objects Configuration as required by QA and Internal Development team

● Create and maintain coding best practices and do peer code / solution reviews

● Participate in Daily Scrum calls, Scrum Planning, Retro and Demos meetings

● Bring out technical/design/architectural challenges/risks during execution, develop action plan for mitigation and aversion of identified risks

● Comply with development processes, documentation templates and tools prescribed by CloudSufi or and its clients

● Work with other teams and Architects in the organization and assist them on technical Issues/Demos/POCs and proposal writing for prospective clients

● Contribute towards the creation of knowledge repository, reusable assets/solution accelerators and IPs

● Provide feedback to junior developers and be a coach and mentor for them

● Provide training sessions on the latest technologies and topics to others employees in the organization

● Participate in organization development activities time to time - Interviews, CSR/Employee engagement activities, participation in business events/conferences, implementation of new policies, systems and procedures as decided by Management team.

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role: Senior Integration Engineer

Location: Remote/Delhi NCR

Experience: 4-8 years

Position Overview :

We are seeking a Senior Integration Engineer with deep expertise in building and managing integrations across Finance, ERP, and business systems. The ideal candidate will have both technical proficiency and strong business understanding, enabling them to translate finance team needs into robust, scalable, and fault-tolerant solutions.

Key Responsibilities:

• Design, develop, and maintain integrations between financial systems, ERPs, and related applications (e.g., expense management, commissions, accounting, sales)
• Gather requirements from Finance and Business stakeholders, analyze pain points, and translate them into effective integration solutions
• Build and support integrations using SOAP and REST APIs, ensuring reliability, scalability, and best practices for logging, error handling, and edge cases
• Develop, debug, and maintain workflows and automations in platforms such as Workato and Exactly Connect
• Support and troubleshoot NetSuite SuiteScript, Suiteflows, and related ERP customizations
• Write, optimize, and execute queries for Zuora (ZQL, Business Objects) and support invoice template customization (HTML)
• Implement integrations leveraging AWS (RDS, S3) and SFTP for secure and scalable data exchange
• Perform database operations and scripting using Python and JavaScript for transformation, validation, and automation tasks
• Provide functional support and debugging for finance tools such as Concur and Coupa
• Ensure integration architecture follows best practices for fault tolerance, monitoring, and maintainability
• Collaborate cross-functionally with Finance, Business, and IT teams to align technology solutions with business goals.

Qualifications:

• 3-8 years of experience in software/system integration with strong exposure to Finance and ERP systems
• Proven experience integrating ERP systems (e.g., NetSuite, Zuora, Coupa, Concur) with financial tools
• Strong understanding of finance and business processes: accounting, commissions, expense management, sales operations
• Hands-on experience with SOAP, REST APIs, Workato, AWS services, SFTP
• Working knowledge of NetSuite SuiteScript, Suiteflows, and Zuora queries (ZQL, Business Objects, invoice templates)
• Proficiency with databases, Python, JavaScript, and SQL query optimization
• Familiarity with Concur and Coupa functionality
• Strong debugging, problem-solving, and requirement-gathering skills
• Excellent communication skills and ability to work with cross-functional business teams.

Preferred Skills:

• Experience with integration design patterns and frameworks
• Exposure to CI/CD pipelines for integration deployments
• Knowledge of business and operations practices in financial systems and finance teams

About Us

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/.

Role Overview:

As a Senior Data Scientist / AI Engineer, you will be a key player in our technical leadership. You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions, with a strong emphasis on Generative AI and Large Language Models (LLMs). You will architect and manage scalable AI microservices, drive research into state-of-the-art techniques, and translate complex business requirements into tangible, high-impact products. This role requires a blend of deep technical expertise, strategic thinking, and leadership.

Key Responsibilities:

• Architect & Develop AI Solutions: Design, build, and deploy robust and scalable machine learning models, with a primary focus on Natural Language Processing (NLP), Generative AI, and LLM-based Agents.
• Build AI Infrastructure: Create and manage AI-driven microservices using frameworks like Python FastAPI, ensuring high performance and reliability.
• Lead AI Research & Innovation: Stay abreast of the latest advancements in AI/ML. Lead research initiatives to evaluate and implement state-of-the-art models and techniques for performance and cost optimization.
• Solve Business Problems: Collaborate with product and business teams to understand challenges and develop data-driven solutions that create significant business value, such as building business rule engines or predictive classification systems.
• End-to-End Project Ownership: Take ownership of the entire lifecycle of AI projects—from ideation, data processing, and model development to deployment, monitoring, and iteration on cloud platforms.
• Team Leadership & Mentorship: Lead learning initiatives within the engineering team, mentor junior data scientists and engineers, and establish best practices for AI development.
• Cross-Functional Collaboration: Work closely with software engineers to integrate AI models into production systems and contribute to the overall system architecture.
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Required Skills and Qualifications

• Master’s (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 6+ years of professional experience in a Data Scientist, AI Engineer, or related role.
• Expert-level proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn).
• Demonstrable, hands-on experience building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions.
• Proven experience in developing and deploying scalable systems on cloud platforms, particularly AWS. Experience with GCS is a plus.
• Strong background in Natural Language Processing (NLP), including experience with multilingual models and transcription.
• Experience with containerization technologies, specifically Docker.
• Solid understanding of software engineering principles and experience building APIs and microservices.

Preferred Qualifications

• A strong portfolio of projects. A track record of publications in reputable AI/ML conferences is a plus.
• Experience with full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch).
• Familiarity with setting up and managing CI/CD pipelines (e.g., Jenkins).
• Proven ability to lead technical teams and mentor other engineers.
• Experience developing custom tools or packages for data science workflows.

We at CLOUDSUFI are seeking a skilled and motivated AI/ML Engineer with a background in Natural Language Processing (NLP), speech technologies, and generative AI. The ideal candidate will have hands-on experience building AI projects from conception to deployment, including fine-tuning large language models (LLMs), developing conversational agents, and implementing machine learning pipelines. You will play a key role in building and enhancing our AI-powered products and services.

Key Responsibilities

• Design, develop, and deploy advanced conversational AI systems, including customer onboarding agents and support chatbots for platforms like WhatsApp.

• Process, transcribe, and diarize audio conversations to create high-quality datasets for fine-tuning large language models (LLMs).

• Develop and maintain robust, scalable infrastructure for AI model serving, utilizing technologies like FastAPI, Docker, and cloud platforms (e.g., Google Cloud Platform).

• Integrate and leverage knowledge graphs and contextual information systems to create more personalized, empathetic, and goal-oriented dialogues.

• Engineer and implement retrieval-augmented generation (RAG) systems to enable natural language querying of internal company documents, optimizing for efficiency and informativeness.

• Fine-tune and deploy generative models like Stable Diffusion for custom asset creation, with a focus on improving precision and reducing generative artifacts (FID score).

• Collaborate with cross-functional teams, including product managers and designers, to build user-friendly interfaces and tools that enhance productivity and user experience.

• Contribute to the research and publication of novel AI systems and models.

Qualifications and Skills

• Education: Bachelor of Engineering (B.E.) in Computer Science or a related field.

• Experience: 3+ years of professional experience as a Machine Learning Engineer or in a similar role.

• Programming Languages: Expertise in Python and a strong command of SQL, and JavaScript.

• Machine Learning Libraries: Hands-on experience with PyTorch, Scikit-learn, Hugging Face Transformers, Diffusers, Librosa, LangGraph, and the OpenAI API.

• Software and Tools: Proficiency with Docker and various databases including PostgreSQL, MongoDB, Redis, and Elasticsearch.

• Core Competencies:

o Experience developing end-to-end AI pipelines, from data processing and model training to API deployment and integration.

o Familiarity with MLOps principles and tools for building and maintaining production-level machine learning systems.

o A portfolio of projects, publications, or open-source contributions in the fields of NLP, Computer Vision, or Speech Analysis is a plus.

• Excellent problem-solving skills and the ability to think strategically to deliver optimized and efficient solutions. 

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services, and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

What are we looking for

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team. The ideal candidate will have extensive expertise in modern DevOps tools and practices, particularly in managing CI/CD pipelines, infrastructure as code, and cloud-native environments. This role involves designing, implementing, and maintaining robust, scalable, and efficient infrastructure and deployment pipelines to support our development and operations teams.

Required Skills and Experience:

- 7+ years of experience in DevOps, infrastructure automation, or related fields.

- Advanced expertise in Terraform for infrastructure as code.

- Solid experience with Helm for managing Kubernetes applications.

- Proficient with GitHub for version control, repository management, and workflows.

- Extensive experience with Kubernetes for container orchestration and management.

- In-depth understanding of Google Cloud Platform (GCP) services and architecture.

- Strong scripting and automation skills (e.g., Python, Bash, or equivalent).

- Excellent problem-solving skills and attention to detail. - Strong communication and collaboration abilities in agile development environments.

Preferred Qualifications:

- Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD).

- Knowledge of additional cloud platforms (e.g., AWS, Azure).

- Certification in Kubernetes (CKA/CKAD) or Google Cloud (GCP Professional DevOps Engineer).

Behavioral Competencies

• Must have worked with US/Europe based clients in onsite/offshore delivery models.

• Should have very good verbal and written communication, technical articulation, listening and presentation skills.

• Should have proven analytical and problem solving skills.

• Should have collaborative mindset for cross-functional team work

• Passion for solving complex search problems

• Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills.

• Should be a quick learner, self starter, go-getter and team player.

• Should have experience of working under stringent deadlines in a Matrix organization structure.