SAP CPI manager

About the Role

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end — from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale.

You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development — and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, GCP), on-premises systems, and third-party services — designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions — automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders

What You Must Have

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience — you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else's design
• Genuine full-stack depth across all layers:
• Front-end: Angular, TypeScript
• Backend: Java, Python, Go, or Node.js — at least one deeply, others functionally
• Data: SQL, NoSQL, caching (Redis), event streaming platforms
• Strong database knowledge in both theory and practice — relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or GCP — Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work — this will be probed in depth during interviews

Integration & API Technologies

You should have hands-on experience across several of the following:

REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• GCP-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration — not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana

Do Not Apply If

• You are primarily an Angular Architect, a Java architect, or strong in one layer only — this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role

This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high — because the impact is real.

Job Description for Project Manager:-

1.Exposure to US/International Client Client (Preferred) Prior Experience in Digital Marketing (Search Engine Optimization) / Project Coordinator / Project Manager roles.

2. Excellent written and verbal communication and presentation skills, able to generate interest and engage the client during calls and on emails.

3. Manage projects, establish productive, professional, and profitable relationships with key personnel and clients in assigned projects.

4. Coordinate with various departments within the organization, including support, service, technology, and manage resources, in order to ensure seamless functioning of the client accounts.

5. Responsible for client receivables; planning and execution of monthly retention.

6. Candidates with Project Management, Digital Marketing & Technical Skills Preferred.

7. Preferred Location Noida.

8. Document all requests and comments made by clients to ensure timely feedback and follow-up actions of client escalations/queries.

9. Ability to maintain a positive, motivational, 'get things done' attitude, especially when faced with difficult circumstances.

10. Achieves strategic customer objectives and account plans defined by company management.

11. Good relationship-building skills (internal, external, and cross-cultural).

12. Sound computer skills, especially in the areas of MS Word, MS Excel, and MS PowerPoint.

13. Lead solution development efforts that best address customer needs, while coordinating the involvement of all necessary actions required and always keep the internal team updated.

14. Maintain a consistent schedule of online meetings with the client to manage performance objectives, customer-expectations and assess customer needs on an ongoing basis.

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Job description

Job Title: Business Development Executive (Antivirus/Cyber Security/ End Point Security/ MDM)

Location: Ahmedabad, Baroda, Rajkot.

Responsibilities:

Distribute IT Network Security Products, Endpoint Security, DLP, Software, Desktop/Laptop sales, and Networking Products through Channel Partners.

Identify and pursue new business opportunities in the assigned region.

Conduct market research to understand industry trends and competitor activities.

Achieve sales targets and contribute to the overall growth of the business.

Collaborate with internal teams to develop effective sales strategies.

Provide excellent customer service and address client needs.

Prepare and deliver presentations to prospective clients.

Requirements:

Proven experience in business development or sales.

Strong communication and negotiation skills.

Knowledge of the local market in Ahmedabad, Baroda, and Rajkot.

Ability to work independently and as part of a team.

Results-oriented with a focus on achieving sales targets.

Qualifications :

- Graduate/BE/BSc.IT/BCA.

- Minimum 4 years of experience in IT Channel Network Distributing products and solutions.

Salary Range : Best in the Industry

Job Types: Full-time, Permanent

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Roles and Responsibilities:

• Designing and producing animation content while collaborating with other artists in a team-focused environment.
• Conceive, layout, and design enticing motion graphics videos for various media.
• Collaborate with Creative Team in designing and creating boards, when required.
• Research and analyze the best design techniques and solutions for creating motion graphics.
• Assist in selecting audio, video, colors, animation, etc. for graphic design.
• Research and analyze the best design techniques and solutions to create motion graphics.
• Assist in designing and creating storyboards.
• Maintain up-to-date knowledge about the latest graphic design techniques. 

Requirements:

• Proficient with Adobe suites like After Effects, Premier Pro, Photoshop, and Illustrator.
• 1-6 years of professional experience.
• A clear understanding of visual hierarchy and information design concepts.
• Comfortable with social media and collaboration/project management tools.
• Strong portfolio showcasing his/her design and motion graphics skills.
• Knowledge of Lottie files and Bodymovin is a plus.

Kindly provide the online portfolio videos of the candidates through platforms like Behance or similar alternatives. Please refrain from sharing portfolios in Google Drive format.