Python Data Engineer

What We Are Looking For

CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.

Key Responsibilities-

AI and Agentic Platform Architecture

• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.

• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.

• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.

• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems

• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.

• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.

• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.

• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance

• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.

• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.

• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.

• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.

Cloud and Platform Engineering

• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.

• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.

• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.

• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.

Technical Leadership

• Translate product and business requirements into clear technical designs and implementation plans.

• Build prototypes and reference implementations for high-risk or foundational platform capabilities.

• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.

• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.

• Mentor senior engineers and support teams in resolving complex technical and production issues.

Required Skills and Experience

• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.

• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.

• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.

• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.

• Experience with relational, document, graph, vector, and distributed data systems.

• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.

• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.

• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.

Good to Have

• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.

• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.

• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.

• Experience supporting real-time and batch data processing at scale.

• Experience comparing and operating multiple commercial and open-source models.

• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery. 

Experience: 3–6 Years

CTC: Up to ₹12 LPA

Industry: FinTech

About the Role

We are looking for a passionate and customer-focused Product Manager with experience in the FinTech industry. The ideal candidate should be capable of managing the product lifecycle from ideation to launch while collaborating with cross-functional teams to build innovative financial products.

Key Responsibilities

• Own the end-to-end product lifecycle from concept to launch.
• Gather and prioritize business, customer, and market requirements.
• Create Product Requirement Documents (PRDs), user stories, and product roadmaps.
• Work closely with Engineering, Design, QA, Marketing, and Business teams.
• Conduct market research and competitor analysis.
• Define product vision and strategy aligned with business goals.
• Track product performance using KPIs and analytics.
• Coordinate Agile sprint planning, backlog grooming, and release management.
• Ensure timely delivery of product features with high quality.
• Continuously improve user experience based on customer feedback and data.
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Required Skills

• 3–6 years of Product Management experience in a FinTech company.
• Strong understanding of digital payments, lending, banking, wallets, UPI, or financial products.
• Experience with Agile/Scrum methodologies.
• Ability to write PRDs, BRDs, and user stories.
• Excellent analytical and problem-solving skills.
• Strong stakeholder management and communication skills.
• Hands-on experience with tools like Jira, Confluence, Figma, or similar.
• Understanding of APIs and product analytics is preferred.

Preferred Qualifications

• Bachelor's degree in Engineering, Computer Science, Business, or a related field.
• MBA or Product Management certification is an added advantage.
• Experience working with B2B or B2C FinTech products.

• Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
• Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
• Good experience in Javascript.
• Expertise in Linux / Windows environment.
• Good Experience in Scripting languages like PowerShell / Bash/ Python.
• Proficiency in revision control and DevOps best practices like Git

Wissen Technology is hiring for Java Tech lead

Required:

• 8-10 years of industrial experience
• Java and related frameworks.
• Experience in Core Java 1.8 and above, Data Structures, OOPS, Multithreading, Microservices, Spring and Swift Payments
• Exposure on Fintech domain is mandatory
• Should have the ability to analyse, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high volume server side development
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.

Company Profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Bangalore

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: https://www.linkedin.com/company/wissen-technology

We are looking for a QA Tester to assess software quality through manual and automation testing. You will be responsible for finding and reporting bugs and glitches.

In this role, you should have a keen eye for detail and excellent communication skills. If you are also competent in executing test cases and are passionate about quality, we’d like to meet you.

Ultimately, you will ensure that our products, applications, and systems work correctly.

Responsibilities

Review and analyze system specifications

Collaborate with QA Engineers to develop effective strategies and test plans

Execute test cases (manual or automated) and analyze results

Evaluate product code according to specifications

Create logs to document testing phases and defects

Report bugs and errors to development teams

Help troubleshoot issues

Conduct post-release/ post-implementation testing

Work with cross-functional teams to ensure quality throughout the software development lifecycle

Requirements

Proven experience as a Quality Assurance Tester of a minimum 4 years

Must have knowledge in API and Selenium Automation

Must have knowledge of SQL and Linux

Working knowledge of test management Excellent communication skills

Strong organizational skills

Base Criteria

Candidate should be comfortable with APP and UI Testing (Must)

Candidate should be able to write excellent Test cases (+ve and -ve)

Candidate should be good at logical implementations

Candidate should be good in Communication and work approach

Candidate should have a good solution-oriented approach

Candidate worked with a premium Institution or premium product/app will be a great plus

Digital Marketer

We are looking for a talented Digital Marketer to join our dynamic marketing team. The ideal candidate will be responsible for developing and implementing online marketing strategies to drive brand awareness, engagement, and conversions.

Key Responsibilities:

● Develop and execute digital marketing campaigns: Plan, create, and implement multi-channel digital marketing campaigns across various platforms including social media, email, search engines, and display advertising.

● Content Creation: produce high-quality content that aligns with marketing goals and enhances the online presence.

● SEO and SEM: Optimize website content for search engines (SEO) and manage paid advertising campaigns (SEM) to increase traffic and conversions.

● Social Media Management: Manage and grow the company's social media presence across all major platforms, engage with followers, and monitor social media trends.

● Email Marketing: Design and execute email marketing campaigns, segment email lists, and analyze campaign performance.

● Analytics and Reporting: Monitor and analyze the performance of digital marketing campaigns using tools like Google Analytics, and provide regular reports with actionable insights.

● Market Research: Conduct market research to identify trends, opportunities, and competitors’ strategies to enhance the company’s digital marketing efforts.

● Collaboration: Work closely with cross-functional teams including sales, product development, and customer support to ensure cohesive marketing strategies.

● Graphic Designing: Design and layout of e-newsletters, product catalogs, brochures, posters, and other marketing materials.

● Video Production: Plan, shoot, and edit engaging video content for digital platforms.

Requirements:

●Must have completed a bachelor's degree.

● Must have completed course in digital marketing

Additional information:

Workdays: 5 days working

Work Location: Adajan Surat Gujarat

Work hours: 9am to 6pm [40min. Flexibility]

What you will do?

As a Full Stack Developer, you’ll be intrumental in shaping the future of AI assistants for data teams and understand the intricacies of Large Language Models (LLMs) to optimize their usage across multiple use cases. Utilizing Django, you'll architect back-end infrastructures optimized for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.  

Responsibility

1. Back-end Development: Utilize Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.

2. API Design: Craft efficient and scalable APIs using the Django Rest Framework. Founding Full Stack AI Engineer

3. Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritize performance and deliver seamless user experiences.

4. AI Integration: Design user interfaces that flawlessly integrate with our LLMs, AI assistants, aiming to offer data teams an intuitive and efficient interaction.

5. Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.