ResponsibilitiesDevelop/maintain tables to support data ingestion and transformation process, while ensuring data quality and availability to support operations Build data products including dashboards and mobile reporting products to support Ops leadership on day-to-day functions that helps them make data driven decisions and answer key questions from the eTeam Help with the development and implementation for automation workflows across multiple functional areas including Turns and Air Ops performance Build and maintain the "single source of truth" for United's Ops data and ensure data integrity through robust governance process Track and provide status reporting of work assignments, projects, programsQualification & Experience     Bachelor's degree in Bachelor's degree in computer science, information sytems, engineering, or another quantitative field (i.e. mathematics, statistics, economics, etc.) At least 2 years experience in business intelligence, analytics, and/or data engineering Strong experience with SQL and Microsoft SQL Server Management Studio Experience with BI dash boarding tools (e.g. PowerBI, Tibco Spotfire, etc...) to produce meaningful, elegant dashboards Proficiency writing code using both traditional and modern technologies/languages (i.e. Python, Spark Node, etc.) for queries, procedures, and final formatted reporting in an email format Ability to study/understand business needs, then develop solutions that connect business processes with quantifiable outcomes Good communication skills Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

ResponsibilitiesDesign, develop, and maintain full-stack applications using React and backend technologies like Go Lang / Node.js Build and deploy scalable, cloud-native applications using AWS and Kubernetes Develop and optimize database solutions using PostgreSQL Collaborate with cross-functional teams to define, design, and ship new features Apply software design patterns and best practices to ensure maintainable and efficient code Work on distributed systems and ensure reliability, scalability, and performance Leverage AI-assisted programming tools (e.g., GitHub Copilot, Cursor) to enhance development workflowsQualification & Experience     Strong experience in frontend development using React Proficiency in backend development using Golang or Node.js Hands-on experience with AWS services and cloud-based architectures Experience with containerization and orchestration tools like Kubernetes Strong understanding of PostgreSQL or similar relational databases Solid problem-solving skills and experience working with distributed systems Experience with microservices architecture and system designFamiliarity with CI/CD pipelines and DevOps practices Exposure to performance optimization and monitoring tools Experience using AI-assisted coding tools in production environments Knowledge of modern software design patterns and architectural principles

ResponsibilitiesCollaborate with architects and senior engineers to interpret high-level architecture and convert it into actionable low-level designs. Apply OOP principles and design patterns to build robust, reusable, and maintainable code. Implement CI/CD pipelines and work closely with DevOps teams to ensure smooth deployments and operational efficiency. Monitor, debug, and troubleshooting production issues as needed. Contribute to system architecture discussions and technical design documents. Maintain documentation for developed features and systems. Collaborate with cross-functional teams (Product Managers, Designers, QA Engineers) to gather requirements, define solutions, and ensure successful product delivery. Write clean, maintainable, and efficient code, adhering to best practices and coding standards. Optimize applications for maximum speed and scalability. Implement unit tests, integration tests, and work closely with QA teams to ensure the quality of the codebase. Stay up to date with emerging trends and technologies, ensuring our solutions are built with the latest best practices. Conduct code reviews and guide junior engineers in improving their technical skillsQualification & Experience     6+ years of experience in iOS application development, low-level systems, distributed systems, or similar technologies Strong experience in Swift, SwiftUI and Objective-C Utilize MVVM architecture, design patterns, and best practices Excellent debugging skills. Talent for cleanly architecting UI features Passion for quality and attention to detail Excellent communication skills with the ability to work cross-team Enjoy building high quality software that is relied upon by people around the world Hands-on experience with version control systems, especially Git. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker. Experience with authentication and authorization mechanisms (JWT, OAuth) is a plus Knowledge of Agile methodologies (Scrum, Kanban). Excellent problem-solving skills and the ability to work on complex, ambiguous problems. Bachelor’s degree in computer science, Engineering, or a related field.Good to have experience in backend technologies - Golang, python and NodeJS Good to have experience in frontend technologies - React JS Good to have experience in cloud platform AWS Good to have experience with AI tools e.g. Cursor

ResponsibilitiesWork closely with Platform Engineering teams on developing and implementing automation solutions using Python or similar programming language. Contribute to AI/ML/GenAI integration projects to enhance infrastructure capabilities and operational efficiency. Participate in the development and implementation of Devops and cloud infrastructure projects involving AWS, Kubernetes, Jenkins, and Terraform. Assist in monitoring and observability efforts to ensure the reliability and performance of applications and services. Help build and maintain dashboard interfaces and visualization tools for platform metrics. Engage in troubleshooting and resolving challenging problems in an efficient and robust manner. Provide regular reports on project progress, challenges, and outcomes to senior team members. Optionally, contribute to UI development tasks using JavaScript or React. Qualification & Experience     Completed BA or BS in computer science or related field and/or equivalent work experience Strong programming skills in Python (preferred) or other relevant languages with demonstrable project work and work experience Practical understanding and usage of AI/ML concepts and frameworks as applied to software development and DevOps projects. Preferred Experience: Solid understanding and practical experience with Python/Golang or other programming languages. Basic understanding of AI/ML concepts and frameworks as applied to software development Proficiency in JavaScript / React / Frontend development is a plus. Prior experience or projects in automation or cloud with AWS, Jenkins, Kubernetes, and Terraform is highly preferable. Excellent verbal and written communication skills to work effectively within a team. Strong analytical skills and a proactive approach to solving technical problems. Ability to take initiative, quickly take ownership of tasks, and deliver results independently and efficiently. Demonstrated ability to work collaboratively within a team environment.

ResponsibilitiesDevelop secure-by-design architectures for AI/ML platforms, including data ingestion, model training, model deployment, and inference layers. Define reference security architectures, patterns, and guardrails for secure AI development.Identify threats unique to AI systems—model inversion, poisoning, evasion attacks, data leakage, prompt injection, etc. Evaluate emerging AI security threats, tools, and best practices.Lead AI-specific risk assessments and security design reviews.Work with red teams to validate model robustness against adversarial attacks.Establish security policies for ethical AI use. Ensure compliance with enterprise, industry, and regulatory frameworks (e.g., NIST AI RMF, GDPR, HIPAA, SOC2, ISO 42001).Partner with data science, platform engineering, cloud security, product, and compliance teams.Qualification & Experience     10+ years in cybersecurity architecture or engineering roles. Strong knowledge of modern AI/ML architectures, pipelines, and tooling. Experience with LLM security, prompt safety testing, or generative AI governance. Understanding of AI based attacks and threats. Strong knowledge of data protection and controls required to protect data. Knowledge of creating and communicating cybersecurity risks both in technical and non-technical manner. Experience working in AI/ML or data engineering environments. Proven track record designing enterprise security frameworks or architecture patterns. Excellent communication with technical and non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities. Leadership skills to guide engineering teams and influence organizational policy. Knowledge of regulatory frameworks specific to healthcare or finance (HIPAA, PCI, etc.)

ResponsibilitiesDesign, develop, and maintain scalable web applications using .NET Core, Angular, and React. Implement and manage Azure Functions, Key Vaults, and Blob/Table Storage for secure and efficient cloud operations.Develop and manage Azure API Management (APIM) policies and configurations.Apply OOP principles and design patterns to build robust, maintainable, and reusable code.Collaborate with cross-functional teams to define, design, and ship new features.Ensure the performance, quality, and responsiveness of applications.Participate in code reviews and provide constructive feedback.Troubleshoot and resolve technical issues across the full stack.Qualification & Experience     Strong experience in .NET Core / .NET 6+ development. Proficiency in Angular and React frameworks. Hands-on experience with Azure Functions, Key Vaults, and Azure Storage. Solid understanding of Azure API Management (APIM) and policy creation. Deep knowledge of OOP concepts and design patterns. Experience with RESTful APIs, microservices architecture, and CI/CD pipelines. Familiarity with Git, DevOps practices, and agile methodologies. Excellent problem-solving and communication skills. Preferred Qualifications: Microsoft Azure certifications (e.g., AZ-204, AZ-400). Experience with containerization (Docker, Kubernetes). Exposure to unit testing frameworks and test automation

ResponsibilitiesTechnical Leadership Lead the end-to-end development of payment processing systems using the .NET stack Own system architecture and technical design for payment services and APIs Ensure high availability, fault tolerance, and performance for transaction-heavy systems Drive adoption of best practices (SOLID, clean architecture, domain-driven design) Payments & Domain Ownership Design and implement payment workflows, settlements, reconciliations, and exception handling Handle high-volume, low-latency transaction processing Ensure idempotency, retries, and transactional consistency Collaborate with business teams on payments rules, validations, and edge cases Security & Compliance Ensure compliance with PCI-DSS, HIPAA, and internal security standards Implement secure authentication and authorization (OAuth2, JWT, role-based access) Partner with security teams on audits, vulnerability remediation, and data protection Mentorship & Collaboration Lead and mentor a team of senior and mid-level engineers Conduct code reviews and enforce coding standards Participate in sprint planning, estimation, and delivery commitments Collaborate cross-functionally with Product, QA, SRE, and Compliance Qualification & Experience     Core Technologies Strong expertise in C#, .NET Core / .NET 6+ ASP.NET Core Web APIs & Microservices RESTful services and event-driven architectures Payments & Data Strong SQL Server experience (complex queries, performance tuning) Experience with financial transactions and data consistency Knowledge of reconciliation and reporting systems Cloud & DevOps Azure ecosystem (App Services, Functions, Service Bus, Storage, Key Vault) CI/CD pipelines (Azure DevOps or GitHub Actions) Experience with Docker; Kubernetes is a plus Architecture & Patterns Microservices architecture Domain-Driven Design (DDD) Messaging & eventing (Service Bus, Kafka, or equivalent) Caching strategies (Redis)

ResponsibilitiesArchitect and implement agent-based AI solutions using the Workato Agentic AI platform. Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform. Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs). Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows. Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform. Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform. Continuously monitor and improve AI system performance, ensuring efficiency and reliability. Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation. Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment. Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base. Qualification & ExperienceBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must. Proven experience in AI engineering, with a focus on agent-based systems. Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations. 

ResponsibilitiesImplement agent-based AI solutions using the Workato Agentic AI platform. Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs) Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform. Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform. Continuously monitor and improve AI system performance, ensuring efficiency and reliability Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation. Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment. Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base. Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise. Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs. Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences. Qualification & ExperienceBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must. Proven experience in AI engineering, with a focus on agent-based systems. Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations. 

ResponsibilitiesDesign and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences. Build scalable, production-grade backend services and REST APIs using Python. Develop clean, performant, and reusable React.js components for modern web interfaces. Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying. Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications. Lead architecture discussions and set engineering best practices across the stack. Optimize application performance, scalability, and reliability across backend and frontend systems. Mentor junior developers and contribute to a culture of engineering excellence. Qualification & ExpeirenceBachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise. 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies. Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.