CLOUDSUFI
https://www.cloudsufi.comAbout
We exist to eliminate the gap between “Human Intuition” and “Data-Backed Decisions”
Data is the new oxygen, and we believe no organization can live without it. We partner with our customers to get to the core of their problems, enable the data supply chain and help them monetize their data. We make enterprise data dance!
Our work elevates the quality of lives for our family, customers, partners and the community.
The human values that we display in all our interactions are of:
Passion – we are committed in heart and head
Integrity – we are real, honest and, fair
Empathy – we understand business isn’t just B2B, or B2C, it is H2H i.e. Human to Human
Boldness – we have the courage to think and do differently
The CLOUDSUFI Foundation embraces the power of legacy and wisdom of those who have helped laid the foundation for all of us, our seniors. We believe in their abilities and we pledge to equip them, to provide them jobs, and to bring them sufi joy.
Tech stack
Go Programming (Golang)
Java
Machine Learning (ML)
Data Analytics
React.js
React Native
Company social profiles
Jobs at CLOUDSUFI
PythonMachine Learning (ML)What are we looking for
We are looking for an experienced and exceptional Senior AI/ML Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems.
Responsibilities
As part of this role you will:
- Design and implement advanced AI/ML systems with a focus on LLMs, embeddings, and retrieval-augmented generation (RAG) architectures.
- Develop and optimize information retrieval solutions including vector databases, semantic search, and knowledge graph implementations.
- Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
- Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.
- Implement and optimize hybrid RAG architectures combining traditional search, vector embeddings, and knowledge graphs.
- Lead technical initiatives for AI system integration into existing products and services.
- Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Qualifications / Experience / Technical Skills
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
- 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
- Demonstrated experience building production systems with LLMs (OpenAI, Anthropic, open-source models) including prompt engineering and fine-tuning.
- In-depth knowledge of vector databases and embedding models for semantic search and retrieval.
- Experience implementing RAG architectures with various retrieval strategies (sparse, dense, hybrid) and context optimization techniques.
- Proficiency with knowledge graph technologies (Neo4j, Neptune, or similar) and graph-based information retrieval.
- Strong background in information retrieval systems including BM25, TF-IDF, and modern neural search approaches.
- Experience with AI/ML infrastructure including containerization, orchestration, and scaling of model inference.
- Expertise in cloud platforms' AI offerings (AWS Bedrock, Azure OpenAI, Vertex AI) and their integration patterns.
- Familiarity with model optimization techniques including quantization, distillation, and efficient serving strategies.
- Experience with streaming data processing for real-time AI applications using technologies like Kafka, Kinesis, or similar.
- Proficiency with AI observability and evaluation tools for tracking model performance, drift, and quality.
- Demonstrated ability to balance technical innovation with production reliability when implementing cutting-edge AI systems.
Amazon Web Services (AWS)CLOUDSUFI is seeking a Information Security Lead overseeing the organization's information security framework, ensuring the confidentiality, integrity, and availability of all data. This role involves developing and implementing security policies, managing risk assessments, and addressing compliance requirements. The Infosec Lead will also lead incident response efforts, conduct regular security audits, and collaborate with cross-functional teams to mitigate vulnerabilities. Strong expertise in cybersecurity tools, frameworks, and best practices is essential for this role.
Roles & Responsibilities
➢ Work independently with vendors and collaborate with colleagues.
➢ Experience negotiating remediation timelines and/or remediating found issues independently.
➢ Ability to implement vendor platforms within CI/CD pipelines.
➢ Experience managing/responding to incidents, collecting evidence, and making decisions.
➢ Work with vendors and internal teams to deploy criteria within WAF and finetune configurations based on application needs.
➢ Multitasking and maintaining a high level of concentration on assigned projects.
Strong working knowledge of AWS security in general and familiarity with AWS native security tools.
➢ Promote security within the organization despite roadblocks, demonstrating resilience and persistence.
➢ Define and integrate DevSecOps security requirements in projects. ➢ Articulate security requirements during architecture meetings while collaborating with application and DevOps teams.
➢ Hands-on experience with various security tools and techniques, including:
➢ Trivy, Prowler, Port53, Snyk for container and application security.
➢ Kali Discovery and vulnerability scanning for penetration testing and threat assessment.
➢ Network and website penetration testing (PT) to identify and remediate security vulnerabilities.
➢ SAST and DAST tools for static and dynamic application security testing.
➢ API security testing
➢ Web/Mobile App SAST and DAST
Certification
➢ AWS Security /CISSP /CISM (Certified Information Security Manager)
Key Responsibilities:
• ABAP Development: Design, develop, and implement ABAP programs, reports, forms, and enhancements according to business requirements.
• Interfaces Management: Create and maintain interfaces between SAP and non-SAP systems using technologies such as IDoc, RFC, BAPI, and Web Services.
• BW Development: Work on BW projects, including the extraction, transformation, and loading (ETL) processes. Develop ABAP routines for data modeling and reporting.
• ODP Implementation: Implement and manage Operational Data Provisioning for data extraction and replication, ensuring optimal performance and data integrity.
• Performance Optimization: Analyze existing ABAP code and BW processes for performance bottlenecks and implement improvements.
• Documentation: Prepare technical documentation for all developments and ensure compliance with company standards.
• Collaboration: Work closely with functional teams, business analysts, and stakeholders to understand requirements and deliver effective solutions.
• Support & Troubleshooting: Provide ongoing support for SAP applications, troubleshooting issues and implementing solutions as necessary.
Qualifications:
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience:
o Minimum of 4 years of experience in SAP ABAP development.
o Strong experience with SAP interfaces, BW, and ODP.
• Technical Skills:
o Proficient in ABAP programming, including Object-Oriented ABAP.
o Experience with data extraction techniques and data modeling in SAP BW.
o Familiarity with ODP concepts and implementations.
o Knowledge of integration technologies (IDoc, BAPI, RFC, Web Services).
Machine Learning (ML)PythonAI Architect
Location and Work Requirements
- Position is based in KSA or UAE
- Must be eligible to work abroad without restrictions
- Regular travel within the region required
Key Responsibilities
- Minimum 7+ years of experience in Data & Analytics domain and minimum 2 years as AI Architect
- Drive technical solution design engagements and implementations
- Support customer implementations across various deployment modes (Public SaaS, Single-Tenant SaaS, and Self-Managed Kubernetes)
- Provide advanced technical support, including deployment troubleshooting and coordinating with customer AI Architect and product development teams when needed
- Guide customers in implementing generative AI solutions, including LLM integration, vector database management, and prompt engineering
- Coordinate and oversee platform installations and configuration work
- Assist customers with platform integration, including API implementation and custom model deployment
- Establish and promote best practices for AI governance and MLOps
- Proactively identify and address potential technical challenges before they impact customer success
Required Technical Skills
- Strong programming skills in Python with experience in data processing libraries (Pandas, NumPy)
- Proficiency in SQL and experience with various database technologies including MongoDB
- Container technologies: Docker (build, modify, deploy) and Kubernetes (kubectl, helm)
- Version control systems (Git) and CI/CD practices
- Strong networking fundamentals (TCP/IP, SSH, SSL/TLS)
- Shell scripting (Linux/Unix environments)
- Experience in working on on-prem, airgapped environments
- Experience with cloud platforms (AWS, Azure, GCP)
Required AI/ML Skills
- Deep expertise in both predictive machine learning and generative AI technologies
- Proven experience implementing and operationalizing large language models (LLMs)
- Strong knowledge of vector databases, embedding technologies, and similarity search concepts
- Advanced understanding of prompt engineering, LLM evaluation, and AI governance methods
- Practical experience with machine learning deployment and production operations
- Understanding of AI safety considerations and risk mitigation strategies
Required Qualities
- Excellent English communication skills with ability to explain complex technical concepts. Arabic language is advantageous.
- Strong consultative approach to understanding and solving business problems
- Proven ability to build trust through proactive customer engagement
- Strong problem-solving abilities and attention to detail
- Ability to work independently and as part of a distributed team
- Willingness to travel within the Middle East & Africa region as needed
Machine Learning (ML)PythonRole - AI Architect
Location - Noida/Remote
Mode - Hybrid - 2 days WFO
As an AI Architect at CLOUDSUFI, you will play a key role in driving our AI strategy for customers in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, and Fintech sectors. You will be responsible for delivering large-scale AI transformation programs for multinational organizations, preferably Fortune 500 companies. You will also lead a team of 10-25 Data Scientists to ensure successful project execution.
Required Experience
● Minimum 12+ years of experience in Data & Analytics domain and minimum 3 years as AI Architect
● Master’s or Ph.D. in a discipline such as Computer Science, Statistics or Applied Mathematics with an emphasis or thesis work on one or more of the following: deep learning, machine learning, Generative AI and optimization.
● Must have experience of articulating and presenting business transformation journey using AI / Gen AI technology to C-Level Executives
● Proven experience in delivering large-scale AI and GenAI transformation programs for multinational organizations
● Strong understanding of AI and GenAI algorithms and techniques
● Must have hands-on experience in open-source software development and cloud native technologies especially on GCP tech stack
● Proficiency in python and prominent ML packages Proficiency in Neural Networks is desirable, though not essential
● Experience leading and managing teams of Data Scientists, Data Engineers and Data Analysts
● Ability to work independently and as part of a team Additional Skills
(Preferred):
● Experience in the Oil & Gas, Energy, Manufacturing, Retail, Healthcare, or Fintech sectors
● Knowledge of cloud platforms (AWS, Azure, GCP)
● GCP Professional Cloud Architect and GCP Professional Machine Learning Engineer Certification
● Experience with AI frameworks and tools (TensorFlow, PyTorch, Keras)
Position: SAP SDI
Contractor/Freelancer - 3 months
Mandatory Skills required: SAP SDI
Secondary Skills required: SAP CPI, SAP ABAP
Min. Experience Required: 6 yrs
Location: WFH/Remote (Offshore)
Detailed JD:
- Data Integration Design and Implementation
- Design and implement data integration solutions using SAP SDI for real-time and batch data replication.
- Configure and manage SDI adapters for various data sources (e.g., databases, files, applications).
- Develop and optimize data flows for data extraction, transformation, and loading (ETL/ELT).
- Implement data virtualization and remote data access using SDI.
- Ensure data quality and consistency during data integration processes.
- SAP HANA Integration:
- Integrate data from diverse source systems into SAP HANA using SDI.
- Optimize data loading and performance for SAP HANA-based applications.
- Configure and manage remote sources and virtual tables in SAP HANA.
Cloud Integration:
- Integrate on-premise and cloud-based data sources using SAP SDI.
- Design and implement data integration solutions for SAP Cloud Platform and other cloud environments.
- Work with SAP Datasphere implementations.
- Performance Tuning and Troubleshooting:
- Monitor and optimize data integration performance.
- Troubleshoot and resolve data integration issues.
- Perform system health checks and maintenance.
- Requirements Gathering and Analysis:
- Gather and analyze business requirements for data integration solutions.
- Document technical specifications and design documents.
- Collaborate with business stakeholders and technical teams.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
XMLReporting to: Solution Architect / Program Manager / COE Head
Location: Noida, Delhi NCR
Shift: Normal Day shift with some overlap with US timezones
Experience: 4-7 years
Education: BTech / BE / MCA / MSc Computer Science
Industry: Product Engineering Services or Enterprise Software Companies
Primary Skills - Java 8/9, Core Java, Design patterns (more than Singleton & Factory),
Webservices development REST/SOAP, XML & JSON manipulation, CI/CD.
Secondary Skills - Jenkins, Kubernetes, Google Cloud Platform (GCP), SAP JCo library
Certifications (Optional): OCPJP (the Oracle Certified Professional Java Programmer) / Google
Professional Cloud Developer
Required Experience:
● Must have integration component development experience using Java 8/9 technologies
and service-oriented architecture (SOA)
● Must have in-depth knowledge of design patterns and integration architecture
● Experience with developing solutions on Google Cloud Platform will be an added
advantage.
● Should have good hands-on experience with Software Engineering tools viz. Eclipse,
NetBeans, JIRA, Confluence, BitBucket, SVN etc.
● Should be very well verse with current technology trends in IT Solutions e.g. Cloud
Platform Development, DevOps, Low Code solutions, Intelligent Automation
Good to Have:
● Experience of developing 3-4 integration adapters/connectors for enterprise applications
(ERP, CRM, HCM, SCM, Billing etc.) using industry standard frameworks and
methodologies following Agile/Scrum
Non-Technical/ Behavioral competencies required:
● Must have worked with US/Europe based clients in onsite/offshore delivery model
● Should have very good verbal and written communication, technical articulation, listening
and presentation skills
● Should have proven analytical and problem solving skills
● 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
● Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in
past organizations
Job Responsibilities:
● Writing the design specifications and user stories for the functionalities assigned.
● Develop assigned components / classes and assist QA team in writing the test cases
● 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.
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Appknox offers VA+PT solutions ( Vulnerability Assessment + Penetration Testing ) that provide end-to-end mobile application security and testing strategies to Fortune 500, SMB and Large Enterprises Globally helping businesses and mobile developers make their mobile apps more secure, thus not only enhancing protection for their customers but also for their own brand.
During the course of 9 years, Appknox has scaled up to work with some major brands in India, South-East Asia, Middle-East, Japan, and the US and has also successfully enabled some of the top government agencies with its On-Premise deployments & compliance testing. Appknox helps 500+ Enterprises which includes 20+ Fortune 1000 and ministries/regulators across 10+ countries and some of the top banks across 20+ countries.
A champion of Value SaaS, with its customer and security-first approach Appknox has won many awards and recognitions from G2, and Gartner and is one of the top mobile app security vendors in its 2021 Application security Hype Cycle report.
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