Data Analyst

Job Title: Principal Architect / Scalability Lead (AWS)

📍 Location: Gurgaon (Hybrid)

🕒 Employment Type: Full-Time

Role Overview

We are seeking a Principal Architect / Scalability Lead with deep expertise in AWS and large-scale distributed systems to architect and scale cloud-native products from MVP to enterprise scale.

This role demands a senior technical leader who has proven experience designing systems that handle high throughput, large concurrent workloads, and enterprise-grade reliability, while ensuring exceptional end-user experience.

You will work closely with Product, Data Engineering, AI/ML, and Backend teams to define architecture standards, scalability roadmaps, and engineering best practices.

Key Responsibilities

🏗 Architecture & Scalability Leadership

• Architect highly scalable, resilient, and high-performance cloud-native systems on AWS.
• Design distributed systems capable of supporting 100K+ concurrent users.
• Lead architecture evolution from MVP to enterprise-grade deployment.
• Translate business and consumer requirements into robust technical architecture.
• Drive scalability planning, capacity modeling, and performance engineering.

🔄 End-to-End Ownership

• Own full SDLC visibility from discovery and design to release, monitoring, and optimization.
• Establish best practices for:
• Microservices architecture
• Distributed systems design
• Observability & monitoring
• DevSecOps & CI/CD
• Ensure system uptime, fault tolerance, and cost efficiency.

☁ AWS Cloud & Infrastructure

• Design and implement scalable systems using AWS services.
• Lead containerization and orchestration using Docker and Kubernetes (EKS).
• Architect secure, automated CI/CD pipelines.
• Drive cloud cost optimization and infrastructure efficiency.

📈 Performance & Reliability Engineering

• Define and enforce SLAs, SLOs, and reliability metrics.
• Lead performance testing, load testing, and scalability validation.
• Implement monitoring, alerting, and observability frameworks.
• Design fault-tolerant and highly available systems.

🧠 Backend, Data & AI Collaboration

• Provide architectural guidance for:
• Backend services using Node.js and Python
• Frontend platforms using React / Next.js
• Data platforms using Snowflake
• Collaborate with Data Engineering and AI/ML teams on data-intensive and AI-driven systems.
• Design architectures supporting asynchronous processing, caching, and event-driven workflows.

👥 Leadership & Governance

• Mentor senior engineers and guide architecture best practices.
• Lead architecture governance and design reviews.
• Influence senior stakeholders with data-driven technical decisions.
• Drive cross-functional alignment across Product, Engineering, Data, and AI teams.

Required Qualifications

• 8–15 years of experience in software engineering.
• Proven experience scaling distributed systems handling 100K+ users or high-throughput workloads.
• Deep hands-on expertise in AWS cloud architecture.
• Strong experience with Docker, Kubernetes, and container orchestration.
• Expertise in microservices, caching strategies, asynchronous processing, and distributed systems.
• Strong understanding of performance engineering and reliability frameworks.
• Experience building enterprise-grade systems for large-scale organizations.

Preferred Skills

• Experience with event-driven architectures (Kafka, SQS, SNS, etc.).
• Knowledge of database scalability and data warehousing (Snowflake).
• Exposure to Data Engineering and AI/ML platforms.
• Strong stakeholder communication and strategic thinking skil

Role Overview

We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

What We Offer

• Competitive Compensation & Benefits aligned with your experience and the impact you bring.
• Opportunity for Growth in a rapidly expanding B2B SaaS company.
• Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
• Collaborative Work Environment that fosters innovation, learning, and career development.
• Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

Skills and Competencies

• Strong ability to facilitate meetings with individuals and groups to gather, understand, and articulate their business needs.

• Experience in working at Client site, gathering requirements, and translation of business requirement to solutions

• Extensively work on office 365, SharePoint Online, SharePoint 2016, SharePoint Server 2013 SharePoint Server 2010, Microsoft Office SharePoint Server 2007, ASP.Net using C#, SQL Server, T-SQL queries, REACT, SPFx.

• Proven ability to interact with end users and gather and document complex user / business requirements

• Strong hands-on experience on issue tracking tools like TFS, Azure DevOps, GIT. as well as exposure to configuration management, deployment, and application rollouts.

• Quickly learn and master new technology; equally successful in both team and self-directed settings; and proficient in a range of computer systems, languages, tools, and methodologies

• Having experience in designing, developing, and testing client applications as part of software development cycle using an agile development approach.

• Ability to work independently with minimal supervision and perform as part of a team.

• Excellent analytical, problem solving, communication and interpersonal skills, Able to interact with individuals at all levels.

Qualifications and Skills

• Strong knowledge of Core PHP, Shopify, Magento.
• Good knowledge of any PHP framework ( CodeIgniter and CakePHP )
• Hands-on experience one PHP framework
• Good analytical & communication skills.
• Must be proficient in PHP, MySQL, CSS, HTML, Javascript, AJAX, XML
• Should have excellent written communication skills (English)
• Must have the capacity to work independently and also as a part of a team
• Must have dedication and commitment towards work.

Responsibilities

• Own the messaging, style and tone of voice for TraceX
• Own the content strategy and calendar for different forms of content published by TraceX across its channels
• Custodian of the TraceX content guidelines and playbook, to be followed by employees across the organization when creating content for public consumption
• Develop editorial guidelines including for style and tone, creating enablement and training resources for stakeholders
• Work with a cross-departmental team, maintain the master content calendar for all web platforms including social media, website, and blogs
• Identify key segment pain points & communicate product value proposition across various channels
• Develop product messaging that differentiates new products and services from others in the market
• Communicate and develop content that show the value of new products and services for prospects and customers across different buying stages
• Own + Support in creating product content such as case studies, videos, website content, and blog posts
• Editorial responsibilities - Ensure stringent quality control for all external content being published on TraceX’s channels – social media, email newsletters, Press Releases, External articles etc.

• Collaborating with stakeholders such as freelance writers, editors, social media and brand marketers, and SEO specialists to create and refresh content to capture crucial SERP real estate
  
  

  Qualifications:

  • 5+ years experience in B2B SaaS or relevant fields
  • Tools Expertise: Experience on tools like WordPress, AHREF, Google Analytics, SEMRush, Ubersuggest, or their equivalent
  • Mastery of spoken & written word with excellent communication skills
  • Strong SEO knowledge and experience of search engine optimization practices, including ON Page and OFF Page Optimization
  • Sound judgment and decision-making ability in complex, ambiguous situations
  • Efficient project management and stakeholder management skills to scale content marketing programs

Responsibilities :

- Build the product strategy and roadmap in line with customers problems and company's vision

- Lead a set of cross functional teams by translation of the product strategy into detailed requirements and prototypes to drive the product development goals

- Identify market opportunities with research and competitive analysis and integrate it into product requirements to enhance user satisfaction

- Analyze complex use cases with experience in using analytics platforms to understand product usability and break them down to simplify user experience

- Design simple and intuitive user interfaces through wireframes and mock-ups

- Listen to the clients on an ongoing basis, be a trusted advisor and work towards aligning our offerings to their expectations

- Develop and launch new products while enhancing the existing products on a timely basis

- Communicate the product solutions and offerings effectively internally and externally

- Be persistent and professional in pursuit of all product deliverables and documentation such as PRD and Knowledge Base

- Be updated with the emerging trends in IT and technical architecture

Requirements :

- Masters Degree in Computer Science, Information Technology, Business Management, Statistics or related field

- 3+ years of experience managing web and mobile products with a background in technical product management or engineering

- 7+ years of experience in building global enterprise SaaS products

- Prior experience in logistics, supply chain, e-commerce or transportation domain is a plus

- Proven ability to drive large scale products with deep understanding of agile, high collaboration and leadership in a highly accelerated work environment

- Excellent client-facing and internal communication skills with a fair understanding of what makes a good user experience and beautiful design

- Spontaneous, quick thinker and a self-starter with key organizational skills that includes attention to detail and multi-tasking

Experience and Educational Requirements:

• 7 years of experience as a Solutions Architect/Developer, designing and implementing global cloud-based solution architectures for PaaS, IaaS or SaaS.
• Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps.
• Experience with distributed computing, software development, big data analytics, cloud computing, virtualization, hosted services, multi-tenant cloud, storage systems or content delivery as well as security protocols.
• Experience developing the User Interface and User Experience for complex software solutions deployed globally
• Experience with all major programming languages and SaaS database technologies
• Experience in building and scaling up the development function and a proven ability to attract, inspire, motivate and retain top tier talent
• Experience working with large multi-national distributed teams
• Experience articulating complex topics to senior stakeholders in both business and IT teams effectively .
• Bachelor’s degree in Computer Science or equivalent practical experience.

• Install, Configuration, and Tuning of the following AppDynamics Servers: Controller, Event Service Cluster, End User Monitoring, ADA, ADRUM
• Reviews system design and works to continuously improve stability and efficiencies
• Provides system backup recovery methodology and makes recommendations regarding enhancements and/or improvements
• Formulates policies, procedures, and standards relating to system management, and monitors system resource utilization
• Responsible for reducing operational downtime for critical, scheduled, and unscheduled maintenance by accelerating deployments of approved changes/fixes/updates and solutions and automate manual maintenance, deployment, diagnostic health checks, validation, and reporting
• Responsible for creating proactive and reactive monitoring methods, generating customer alerts within the Enterprise Event Management and Monitoring capability
• Skilled at user requirement gathering and can work independently to craft efficient monitoring, alarming solutions, and dashboards
• Understands the Agile process
• Build dashboards in Grafana.
• Setup independently Prometheus, Node exporters, etc
• Comfortable with PromQL.
• Ability to operationally support the underlying database as necessary
• Hands-on Java and/or .Net Development
• IT Operations and Application Support
• Application and systems performance management, measurement, and analysis.
• Deployment and configuration of complex enterprise software
• Solid understanding of Operating Systems (Linux/Windows)
• Strong understanding of built-in O/S monitoring and performance tools.
• Working with a wide variety of platforms and application stacks.
• Ability to understand new application frameworks in customer environments quickly
• Works with minimal direction as a seasoned resource
• Support customer initiatives in their transition towards modernization
• Tracks own work and backlog, familiar with Agile methodology
• Prioritize own work in accordance with user priorities and stakeholder expectations
• Communicates efficiently and effectively both written and verbal
• Reviews system design and works to continuously improve stability and efficiencies

• AppDynamics
• Java
• Linux/Windows
• Fault and Performance Monitoring Tools Administration
• Machine/Dotnet/Java agent
• Grafana, ELK
• Prometheus.