Customer Support

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Content Strategy & Planning

• Expertise in developing and executing comprehensive content strategies aligned with business objectives, brand guidelines, and target audience insights.
• Ability to identify content opportunities through audience research, behavioural analysis, industry trends, social media trends, and competitor benchmarking.
• Proficient in creating and managing detailed content calendars to ensure timely and consistent delivery across multiple digital platforms.

Content Development & Campaign Management

• Skilled in planning and executing end-to-end content and marketing campaigns to promote brand initiatives, products, and investor education.
• Strong capability in producing high-quality, engaging content including articles, blogs, videos, infographics, and social media assets.
• Experienced in collaborating with and managing cross-functional teams—writers, designers, videographers, freelancers, and external agencies—to deliver compelling content on schedule.
• Deep understanding of brand tone, SEO best practices, and industry compliance to ensure all content meets quality standards.

Content Distribution & Performance Optimization

• Proficient in developing platform-specific content distribution and promotion strategies to maximize reach, engagement, and impact.
• Skilled in identifying and leveraging the right channels such as social media, email marketing, partnerships, and digital communities for content amplification.
• Strong analytical abilities to monitor KPIs—website traffic, engagement, conversions—and provide data-driven insights for continuous optimization.
• Keeps up-to-date with evolving content formats, digital trends, and industry best practices to enhance content marketing performance.

Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients

Job Title: Data Analyst-Fintech

Job Description:

We are seeking a highly motivated and detail-oriented Data Analyst with 2 to 4 years of work experience to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights. In this role, you will play a pivotal role in gathering, analyzing, and interpreting data to support informed decision-making and drive business growth.

Key Responsibilities:

1.      Data Collection and Extraction:

§ Gather data from various sources, including databases, spreadsheets and APIs,

§ Perform data cleansing and validation to ensure data accuracy and integrity.

2.      Data Analysis:

§ Analyze large datasets to identify trends, patterns, and anomalies.

§ Conduct analysis and data modeling to generate insights and forecasts.

§ Create data visualizations and reports to present findings to stakeholders.

3.      Data Interpretation and Insight Generation:

§ Translate data insights into actionable recommendations for business improvements.

§ Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions.

4.      Data Quality Assurance:

§ Implement data quality checks and validation processes to ensure data accuracy and consistency.

§ Identify and address data quality issues promptly.

Qualifications:

1.      Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

2.      Proven work experience as a Data Analyst, with 2 to 4 years of relevant experience.

3.      Knowledge of data warehousing concepts and ETL processes is advantageous.

4.      Proficiency in data analysis tools and languages (e.g., SQL, Python, R).

5.      Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

6.      Strong analytical and problem-solving skills.

7.      Excellent communication and presentation skills.

8.      Attention to detail and a commitment to data accuracy.

9.      Familiarity with machine learning and predictive modeling is a bonus.

If you are a data-driven professional with a passion for uncovering insights from complex datasets and have the qualifications and skills mentioned above, we encourage you to apply for this Data Analyst position. Join our dynamic team and contribute to making data-driven decisions that will shape our company's future.

Fatakpay is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

1. Develop and execute a comprehensive marketing strategy that includes brand positioning, product positioning, and go-to-market plans.
2. Increase brand awareness and drive demand for our products through a variety of channels, including digital marketing, social media and events.
3. Collaborate with the product and sales teams to develop and execute campaigns that drive conversion and generate leads
4. Analyze market trends and customer data to inform marketing decisions and optimize performance
5. Work closely with the senior leaders to align marketing efforts with overall company goals and objectives.
6. Collaborate with internal teams to create landing pages and optimize user experience.
7. Utilize strong analytical ability to evaluate end to end customer experience across multiple channels and customer touch points
8. Strong analytical skills and data-driven thinking.
9. Coordinating for website development
10. Coordinating for E-newsletters design
11. Providing inputs and ideas into marketing enterprises and subsequently promote them and monitor response

Our company is in need of a talented Content Writer to create compelling blog posts, white papers, product descriptions, social media content and web copy. We’re looking for someone who will help us expand our digital footprint and drive more value through online content. The ideal candidate should have a proven track record of producing pieces that increase engagement and drive leads. This position requires a high level of creativity, as well as the ability to use data-driven insights to write better material. The successful candidate should also be detail-oriented and committed to meeting tight deadlines. Preference will be given to those with a strong writing portfolio, bachelor’s degree and relevant work experience.

The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organization and the title of the manager the person will report to.

• Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
• Regularly produce various content types, including email, social media posts, blogs and white papers
• Actively manage and promote our blog, and pitch articles to relevant third-party platforms
• Edit content produced by other members of the team
• Analyze content marketing metrics and makes changes as needed
• Collaborate with other departments to create innovative content ideas

Position: Inside Sales Manager

About Simplilearn:

Simplilearn.com is the world’s largest professional certifications company and an Onalytica Top 20 influential brand. With a library of 400+ courses, we've helped 1 million+ professionals advance their careers, delivering $5 billion in pay raises. Simplilearn has over 1000 employees worldwide and our customers include Fortune 1000 companies, top universities, leading agencies and hundreds of thousands of working professionals. We are growing over 200% year on year and having fun doing it.

Who are we looking for?

This role would be part of the B2C sales function for our India / International Business Groups. He/she would drive the new customer acquisition, customer relationship management, Operations & reporting.

What should you do?

• New Customer Acquisition

• Conversion of leads received through various marketing channels

• Preparing short-­­term and long-­­term sales plan towards reaching the assigned goals

• Consistently achieve revenue targets in line with team/organizational objectives

• Proactively identifying cross-­­selling/up-­­selling opportunities with the existing customers

• Identifying references through the existing customer base to increase the sales pipeline

• Customer Relationship Management

• Understand the customer requirement and pass on the insights towards the product portfolio improvement based on the customer interaction/feedback

• Key Account Management

• New account development

• Operations and Reporting

• Managing pre-­­sales to post-­­sales support activities for the assigned products/geographies and ensuring the highest customer satisfaction

• 6+ years of recent hands-on Java development
• Developing data pipelines in AWS or Google Cloud
• Java, Python, JavaScript programming languages
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics