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Job title: GenAI Platform Lead
Location: Chennai
Experience: 15+ years
Education Qualification: Any Graduate

Role Summary:

• The GenAI Platform Lead is responsible for architecting, building, and operating an enterprise-grade Generative AI platform that enables product teams to rapidly deliver secure, scalable, and cost-efficient AI-powered applications. This is an engineering-led role that combines deep backend and platform engineering expertise with applied Generative AI systems design.
• The role focuses on production-grade LLM integration, ensuring platform reliability, governance, and developer enablement to support the development of robust and scalable AI solutions.

Mandatory Requirements:

• Minimum 15+ years of overall IT experience, with strong expertise in:
  • Python
  • RESTful APIs
  • RDBMS
• Minimum 2+ years of hands-on experience in Generative AI / LLM-based systems, with experience in building or operating production-grade AI platforms or services.
• Proven experience in leading backend or platform engineering teams in an enterprise environment.
• Hands-on exposure to LLM platforms, including:
  • Amazon Bedrock
  • Azure OpenAI
  • OpenAI
  • Anthropic
• Strong ownership mindset with the ability to drive:
  • Architecture
  • Execution
  • Governance
  • Operational Excellence

Job title: Senior PySpark ETL Engineer
Location : Chennai
Experience : 10-12 years
Education Qualifications: Any Graduate

Role Summary:

• The Senior PySpark ETL Engineer is responsible for designing, building, optimizing, and operating scalable data pipelines using Apache Spark (PySpark).
• This role focuses on high-volume batch processing, with optional exposure to streaming data, ensuring performance, reliability, data quality, and cost efficiency across enterprise data platforms.
• The position requires strong Python expertise, hands-on experience with Spark, and deep knowledge of SQL and data modeling.
• It also demands the ability to take full ownership of data pipelines, managing them end-to-end in a production environment.

Mandatory Requirements:

• 10–12 years of overall IT experience, with strong focus on data engineering and ETL
• Minimum 3+ years of hands-on experience with PySpark / Apache Spark in production environments
• Strong experience in designing and implementing ETL / ELT pipelines at scale
• Excellent knowledge of SQL and relational database concepts
• Experience in handling large datasets in distributed environments
• Strong ownership mindset with excellent problem-solving skills and ability to independently manage production pipelines
• Hands-on experience with AWS EMR / Spark on Kubernetes / S3 and orchestration tools such as Airflow / Databricks / Azure Data Factory (ADF)

Job title: Technical Lead – Python Fullstack
Location: Chennai
Experience: 12+ years
Education Qualification: Any Graduate

Role Summary:

• Minimum 12+ years of IT experience, with strong expertise in Python, RESTful APIs, and RDBMS
• Proven leadership capability with excellent communication and interpersonal skills, along with a strong sense of ownership and accountability
• Ability to take end-to-end responsibility for technical design, delivery, and quality

Mandatory Skills:

• Minimum 12+ years of overall IT experience, with at least 5+ years in designing and developing backend/web applications using Python
• Strong expertise in Python backend frameworks such as Django, Flask, FastAPI, or equivalent
• Solid experience in API-first design, implementation, and optimization of RESTful services
• Deep understanding of middleware architecture, backend services, and system integrations
• Hands-on experience in database schema design, implementation, and performance tuning using RDBMS (PostgreSQL/MySQL)

• Strong proficiency in:
• Writing complex SQL queries
• Stored procedures, indexing, and performance optimization
• Transaction handling and data consistency
• Experience with ORM frameworks (Django ORM, SQLAlchemy) and understanding of their performance trade-offs
• Experience building cloud-native applications with focus on:
• Scalability, Performance, Security, and Reliability
• Code reviews, Git version control, CI/CD pipelines, deployment & operations

Job Title: Fulfillment Operations Analyst
Location: Ultralag
Education: Bachelor’s Degree preferred
Experience: 2–4+ years in operations / fulfillment / supply chain / order management
No of Openings: 1+

Summary :

• The Fulfillment Operations Analyst plays a critical role in ensuring a seamless order-to-cash process by managing fulfillment operations and coordinating across multiple teams such as Sales, Supply Chain, Finance, and Logistics.
• This role focuses on executing high-volume transactional workflows, maintaining data accuracy, resolving order issues, and supporting operational improvements to ensure timely and accurate delivery of customer orders.

Roles and Responsibilities

• Manage end-to-end fulfillment execution within ERP systems (e.g., NetSuite) 
• Process and validate orders, including CMPOs, manual fulfillments, and shipment coordination 
• Handle high-volume transactional workflows with strong accuracy and attention to detail 
• Monitor and manage expedite requests and operational escalations 
• Act as point of contact for order-related inquiries and provide timely responses 
• Collaborate with cross-functional teams (Sales, Finance, Supply Chain, Logistics) to resolve order issues 
• Track backlog and monitor order health to ensure on-time delivery 
• Ensure data integrity across pricing, configurations, BOMs, and system records 
• Identify and mitigate risks that could impact fulfillment timelines 
• Support process improvements and contribute to operational efficiency initiatives 
• Assist with reporting and documentation using tools like Google Sheets and Tableau

Required Skills

• Experience working with ERP systems (e.g., NetSuite) 
• Familiarity with CRM tools such as Salesforce 
• Strong analytical and problem-solving skills 
• High attention to detail and accuracy 
• Ability to manage high-volume workloads in fast-paced environments 
• Strong communication and cross-functional collaboration skills 
• Proficiency in Google Workspace (Sheets, Docs, Slides) 
• Ability to manage multiple priorities and meet deadlines

Desired Skills

• Experience with Tableau, Asana, or Smartsheet 
• Knowledge of B2B EDI transactions 
• Background in supply chain, logistics, or order management 
• Experience with process improvement initiatives 
• Ability to work in global or cross-regional environments

Job Title: Data Engineer – Customer Success Analytics
Location: Hybrid, Ultralag, Heredia
Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
Experience: 2+ years in data engineering, analytics engineering, or similar roles
No of Openings: 1

Summary:

• The Data Engineer – Customer Success Analytics is responsible for building and maintaining the data infrastructure that supports Customer Success operations and decision-making.
• This role focuses on developing scalable data pipelines, improving data models, and ensuring high-quality, reliable datasets for reporting and analytics.
• The ideal candidate is hands-on, detail-oriented, and passionate about transforming complex data into actionable insights that drive customer outcomes, operational efficiency, and future automation initiatives.

Roles and Responsibilities:

• Design, build, and maintain ETL/ELT pipelines from systems such as Salesforce and other operational platforms into data warehouses (e.g., Snowflake).
• Audit, normalize, and restructure existing data models, tables, and views to improve performance, consistency, and usability.
• Develop clean, scalable, and analytics-ready data models to support dashboards, reporting, and operational workflows.
• Translate business requirements (e.g., ARR, renewals, churn, consumption, customer health) into structured and well-documented data definitions.
• Investigate and resolve data discrepancies by identifying root causes and implementing long-term fixes.
• Optimize query performance, data processing, and overall data warehouse efficiency.
• Implement data validation frameworks, monitoring processes, and quality controls to ensure data accuracy and reliability.
• Document data lineage, transformations, and definitions to support governance and transparency.
• Collaborate with Data Analysts, Customer Success teams, and Operations to build scalable and reusable datasets.
• Prepare structured datasets to support automation initiatives, reporting improvements, and future AI-driven use cases.

Required Skills:

• 2+ years of experience working with data in roles such as Data Engineer, Data Analyst, Analytics Engineer, or similar.
• Strong SQL skills and experience with ETL/ELT processes and data modeling.
• Experience with at least one programming language (e.g., Python, Scala, C#, or similar).
• Hands-on experience with data warehouse technologies (e.g., Snowflake, BigQuery, Spark).
• Familiarity with data build tools such as DBT.
• Experience with version control tools (Git/GitHub) and development workflows.
• Strong understanding of data modeling principles (normalization, dimensional modeling, schema design).
• Proven ability to identify and improve data pipeline and reporting performance.
• Strong analytical and problem-solving skills, particularly in resolving data inconsistencies.
• Ability to work cross-functionally and communicate technical concepts clearly.
• English C1

Desired Skills:

• Experience working with Salesforce data models (Accounts, Opportunities, Contracts, Subscriptions).
• Familiarity with tools such as Tableau, Gainsight, or similar analytics platforms.
• Experience supporting SaaS or subscription-based business models (ARR, renewals, churn, consumption).
• Exposure to automation, predictive analytics, or AI-related data preparation.
• Experience with data governance, access control, and documentation standards.
• Knowledge of REST APIs and server-side technologies (e.g., Node.js, TypeScript, Python).