Current Openings

Job Summary

We are seeking a skilled DevOps Engineer to design, implement, and maintain scalable, secure, and automated infrastructure for modern cloud-native applications. The ideal candidate should have hands-on experience with CI/CD pipelines, Infrastructure as Code (IaC), containerization, Kubernetes, cloud platforms, and monitoring tools. The role involves collaborating with development, QA, and operations teams to improve software delivery, reliability, and operational efficiency.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines for automated build, testing, and deployment.
• Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation, or ARM Templates).
• Deploy, manage, and troubleshoot Kubernetes clusters and containerized applications.
• Build and maintain Docker images and container orchestration environments.
• Configure and manage cloud infrastructure on AWS, Azure, or GCP.
• Implement monitoring, logging, and alerting solutions using industry-standard tools.
• Automate operational tasks using Bash, Python, or PowerShell scripting.
• Ensure infrastructure security, compliance, and access management.
• Manage source code repositories and branching strategies using Git.
• Optimize application performance, scalability, and availability.
• Collaborate with development teams to improve release processes and deployment strategies.
• Participate in production deployments, incident management, root cause analysis, and disaster recovery planning.
• Maintain system documentation and operational runbooks.

Required Skills

• CI/CD
• Cloud Platforms
• Containers & Orchestration
• Infrastructure as Code
• Version Control
• Scripting
• Monitoring & Logging
• Configuration Management
• Networking
• Security

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3–5 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
• Hands-on experience with Kubernetes administration.
• Strong understanding of Linux systems and networking fundamentals.
• Experience with cloud-native architectures and microservices.
• Exposure to Agile/Scrum development methodologies.
• Experience working in production support environments.

About the Role

We are looking for a highly motivated Product Manager with experience in Hospitality, ERP, and E-commerce domains to drive product strategy, roadmap planning, and successful product delivery. The ideal candidate should possess strong business acumen, stakeholder management skills, and hands-on experience in translating business requirements into scalable digital solutions.

Key Responsibilities

• Define and execute product vision, strategy, and roadmap aligned with business goals.
• Gather, analyze, and prioritize business requirements from customers, stakeholders, and internal teams.
• Create Product Requirement Documents (PRDs), user stories, acceptance criteria, and functional specifications.
• Collaborate closely with Engineering, UX/UI, QA, Sales, and Customer Success teams throughout the product lifecycle.
• Manage end-to-end product development from ideation to launch and post-launch optimization.
• Conduct market research, competitor analysis, and customer feedback analysis to identify product opportunities.
• Drive Agile ceremonies including sprint planning, backlog grooming, product reviews, and release planning.
• Define and track product KPIs, customer adoption metrics, and business outcomes.
• Work with enterprise clients to understand operational workflows and recommend product enhancements.
• Leverage AI and data-driven insights to improve customer experience, automation, and business efficiency.

Required Skills & Experience

Product Management

• 10+ years of Product Management experience in SaaS, Enterprise Applications, or Digital Products.
• Strong experience in Product Lifecycle Management.
• Expertise in Agile/Scrum methodologies.
• Experience with tools such as Jira, Confluence, Azure DevOps, Figma, Miro, or similar.

Domain Expertise

• Hospitality Management Systems (Hotel Operations, Booking Engines, PMS, POS, Guest Experience Platforms).
• ERP Solutions (Finance, Inventory, Procurement, Supply Chain, Manufacturing, HRMS).
• E-commerce Platforms (B2B/B2C Commerce, Marketplace, OMS, PIM, CRM, Payment Integrations).

Business & Technical Skills

• Strong understanding of APIs, system integrations, cloud-based applications, and microservices architecture.
• Experience in requirement gathering, wireframing, workflow creation, and process mapping.
• Ability to interpret data and create actionable product strategies.
• Excellent stakeholder management and communication skills.

AI & Emerging Technology Experience (Preferred)

• Understanding of AI/ML-powered business applications.
• Experience working with Generative AI, Chatbots, Recommendation Engines, Predictive Analytics, or Process Automation solutions.
• Ability to identify AI use cases that improve operational efficiency and customer experience.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Technology, Business Administration, or related field.
• MBA or Product Management Certification will be an added advantage.

Preferred Candidate Profile

• Experience working with global clients across US, Europe, Middle East, or APAC regions.
• Strong analytical and problem-solving abilities.
• Customer-centric mindset with a passion for building innovative products.
• Ability to work in a fast-paced product-driven environment.

Nice to Have

• Experience with Hospitality ERP platforms, Commerce Platforms, or Enterprise SaaS products.
• Exposure to Product Analytics tools such as Mixpanel, GA4, Power BI, Tableau, or Looker.
• Experience managing multi-product portfolios and cross-functional teams

Role Overview
We are seeking an Data Science Engineer with strong hands-on experience in Retrieval-Augmented Generation (RAG) and Agentic AI systems. The role focuses on building intelligent, secure, and scalable AI solutions that process unstructured documents, perform semantic matching, and automate enterprise workflows. Experience with LLM fine-tuning and modern LLM frameworks such as LangChain is essential.

Key Responsibilities

• Design and develop RAG-based systems for document intelligence and semantic matching
• Build Agentic AI workflows for request validation, reasoning, ranking, and action automation
• Implement document ingestion pipelines including parsing, chunking, embeddings, and indexing
• Develop vector search pipelines with metadata filtering and relevance scoring
• Perform LLM fine-tuning using techniques such as LoRA, PEFT, or supervised fine-tuning
• Integrate AI solutions with backend services, APIs, and email/notification systems
• Ensure security, access control, and compliance across AI pipelines
• Continuously improve retrieval accuracy, system performance, and reliability

Required Skills

• Strong Python programming skills
• Hands-on experience with RAG architectures and semantic search
• Experience building Agentic AI or multi-agent workflows
• Experience with LLM fine-tuning techniques (LoRA, PEFT, prompt tuning)
• Experience with at least one LLM framework: LangChain (preferred)
• Experience with vector databases such as FAISS, Pinecone, or Azure AI Search
• Strong understanding of embeddings and similarity-based retrieval

Good to Have

• Experience with Azure OpenAI, OpenAI APIs, or open-source LLMs
• Experience deploying AI services using FastAPI, Docker, and cloud platforms
• Knowledge of RAG evaluation and hallucination mitigation techniques
• Domain exposure in Life Sciences, Retail, or Insurance

What You’ll Work On

• AI-driven talent matching and recommendation systems
• Secure document intelligence platforms
• Agentic AI systems for workflow automation and decision support

Why Join Us

• Work on real-world, production-grade Agentic AI solutions
• High ownership and impact across enterprise use cases
• Opportunity to work with cutting-edge Generative AI technologies

Job Summary:

We are looking for a highly experienced Technical Delivery Manager with a strong technical background and proven leadership in managing large teams across global locations. The ideal candidate will have hands-on experience as a developer or architect and align closely with our 3*2 strategy, particularly in the areas of data, AI, and digital transformation. The Delivery Manager will be responsible for overseeing the successful delivery of complex technology solutions, engaging in technical discussions, and maintaining a strong focus on commercial outcomes.

Key Responsibilities:

• Technical Leadership: Leverage past experience as a developer or architect to engage in technical discussions, providing guidance and support to teams.
• Strategic Alignment: Drive delivery initiatives aligned with the company’s strategy, focusing on technical disciplines such as data, AI, and digital transformation, particularly in business verticals like retail and high-tech.
• Team Management: Lead and manage large, diverse teams across multiple locations, ensuring effective coordination, collaboration, and execution.
• Client Engagement: Act as the primary point of contact for clients, ensuring clear communication, understanding of requirements, and delivering on expectations.
• Global Collaboration: Support and coordinate teams located outside of India, fostering a global working culture while ensuring timely and quality delivery of solutions.
• Data-Driven Execution: Utilize data and metrics to monitor project progress, make informed decisions, and ensure delivery meets business objectives.
• Commercial Focus: Ensure projects are delivered within scope, on time, and on budget, with a focus on profitability and commercial success.

Qualifications:

• Technical Background: 10+ years of experience with a solid foundation as a hands-on developer, architect, or other technical roles.
• Experience in Key Areas: Strong alignment with technical disciplines such as data, AI, and digital transformation, with a preference for experience in the retail and high-tech sectors.
• Large-Scale Team Management: Proven experience in managing and leading large teams across multiple locations and time zones.
• Client-Facing Skills: Experience in managing client interactions, understanding their requirements, and ensuring high levels of satisfaction.
• Global Experience: Hands-on experience in working with and supporting teams outside of India.
• Data-Driven Mindset: Strong ability to use data for decision-making and to drive execution.
• Commercial Acumen: Experience in managing project profitability, cost control, and delivering within commercial constraints.

Skills & Competencies:

• Deep understanding of software development, architecture, and technical project delivery.
• Strong leadership skills with the ability to motivate and manage large teams across global locations.
• Excellent communication and client engagement skills.
• Ability to engage in complex technical discussions and problem-solving.
• Commercially minded, with an ability to manage projects for profitability.
• Experience with data-driven execution strategies and performance monitoring.

Additional Information:

• This role will require extensive collaboration with teams in multiple global locations, including but not limited to India, the US, and Europe.
• Occasional travel may be required.

Job Summary:

We are looking for a skilled Boomi Developer to design, develop, and manage integration solutions across CRM, ERP, and database systems. The ideal candidate will have strong experience in Boomi and a solid understanding of data integration, API development, and performance optimization.

Key Responsibilities:

• Design, develop, and maintain integration processes using Dell Boomi.
• Work on large-scale ETL Boomi jobs ensuring data accuracy and performance.
• Develop, deploy, and manage APIs in Boomi for seamless system integrations.
• Implement best practices for logging, error handling, and monitoring in Boomi processes.
• Optimize integration processes for scalability and performance.
• Work with databases (MS SQL) including queries, stored procedures, and SQL views.
• Collaborate with business and technical teams for CRM (Salesforce, Zendesk) and ERP (SAP, Dynamics 365) integrations.
• Utilize Boomi’s internal mechanisms such as Atom Queues, Caching, Shared Web Server, and Logs effectively.

Must-Have Skills:

• Strong hands-on experience with Dell Boomi.
• Proficiency in database integrations with MS SQL (queries, stored procs, SQL views).
• Experience working on large data ETL processes in Boomi.
• Expertise in developing and deploying APIs in Boomi.
• Knowledge of Boomi process optimization, logging, and error handling practices.
• Understanding of Boomi Atom Queues, Caching, Shared Web Server, and Logs.

Good-to-Have Skills:

• Experience with CRM integrations (Salesforce, Zendesk).
• Experience with ERP integrations (SAP, Microsoft Dynamics 365).
• Familiarity with general API and integration security practices.

Education & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Dell Boomi certification is a plus.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Python & PySpark
• Develop and optimize ETL/ELT workflows for structured and semi-structured data
• Work with Azure data services to ingest, process, and store large datasets
• Write efficient SQL queries for data analysis, transformation, and reporting
• Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets
• Implement data quality checks, monitoring, and performance tuning
• Handle batch and (if applicable) streaming data workloads
• Follow best practices for data security, governance, and documentation

Required Skills

Programming & Data Processing

• Strong hands-on experience with Python
• Solid expertise in PySpark / Apache Spark
• Experience with data transformations, joins, aggregations, window functions

Databases & SQL

• Advanced SQL (CTEs, indexing, query optimization)
• Experience with relational and analytical databases

Cloud & Azure

• Hands-on experience with Microsoft Azure, including:
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Azure Synapse Analytics
  • Azure Databricks
• Understanding of cloud-based data architecture

Data Engineering Concepts

• ETL vs ELT
• Data modeling (Star / Snowflake schemas)
• Partitioning, caching, performance tuning
• Handling large-scale datasets

Good to Have

• Experience with streaming tools (Kafka, Event Hubs)
• Knowledge of CI/CD pipelines for data workflows
• Exposure to Airflow / Azure Data Factory scheduling
• Understanding of DevOps / Git / version control
• Basic knowledge of data governance & compliance

Education

• Bachelor’s degree in Computer Science, Engineering, or related field(Equivalent practical experience is welcome)

What We Offer

• Opportunity to work on large-scale, real-world data platforms
• Exposure to modern cloud & big-data technologies
• Collaborative and growth-focused environment