Backend Engineer

• Analyze, develop, and support SSIS projects for ETL, file transmission, encryption, and archiving
• Design, develop, and maintain database tables, stored procedures, and supporting objects
• Build and support operational reports for the company and clients
• Provide operational support, resolve recurring problems, and identify root causes
• Document database topology, architecture, processes, and procedures
• Develop SQL queries and support ad hoc data requests
• Assist with capacity planning and resource expansion through data aggregation and analysis
• Collaborate with project managers to ensure reports and metrics identify business needs and process-improvement opportunities
• Identify database-platform inefficiencies and provide solutions to management
• Develop time estimates for assigned tasks
• Assist in resolving business and technical problems
• Monitor emerging security threats, perform periodic security reviews, and propose mitigation approaches
• Ensure regulatory compliance, including HIPAA, in data utilization and information access
• Follow Change Management policies and procedures for production changes
• Protect and disclose patients’ protected health information only in accordance with HIPAA standards
• Comply with Information Security and HIPAA policies and procedures
• Limit PHI access to the minimum necessary for assigned duties
• Perform other duties as assigned

SQL Database Developer

• Discuss, plan, build and test new features
• Bring learnings from previous roles and experiences to build new fintech innovations for businesses
• Collaborate with engineers, designers, product managers, and other stakeholders to define the user experience
• Triage and fix bugs, often working directly with users
• Manage code reviews through Pull Requests while maintaining unit tests and quality
• Help migrate modules into independent micro-services
• Work on product features affecting tens of thousands of customers
• Contribute to new product efforts and help take ideas to market

Senior Software Engineer – Python

• Discuss, plan, build and test new features
• Bring learnings from previous roles and experiences to build fintech innovations
• Collaborate with engineers, designers, product managers, and other stakeholders to define the user experience
• Triage and fix bugs, often working directly with users
• Manage code reviews through Pull Requests while maintaining unit tests and quality
• Help migrate modules into independent micro-services
• Work on product features affecting tens of thousands of customers

Software Engineer, Python

• Design, develop, and maintain scalable data pipelines using PySpark and SQL within Microsoft Fabric
• Migrate data from legacy systems, including Azure Data Lake and on-premises sources, into Fabric Lakehouse
• Build ingestion and transformation frameworks for structured and unstructured datasets
• Collaborate with data analysts and business stakeholders to define data models supporting reporting and analytics
• Ensure data quality, integrity, and consistency across datasets
• Optimize workflows for performance, scalability, and cost efficiency in Fabric and Azure environments
• Establish monitoring and alerting frameworks for production data-pipeline reliability
• Automate ETL/ELT processes, testing, and operational tasks
• Explore and integrate AI capabilities within Fabric for intelligent data processing and advanced analytics
• Monitor and troubleshoot production data issues and perform root cause analysis
• Document technical processes, system designs, and operational procedures

Senior Software Engineer, Python

• Integrate the HCL Commerce application with required systems and services
• Provide clean, easy-to-use APIs for the frontend
• Take responsibility for application functionality, performance, and scalability
• Work across the React Adapter layer connecting HCL Commerce to the headless frontend
• Specialize in HCL Commerce and adapter technologies
• Help steer technical direction during the migration to HCL Commerce v9 and cloud technologies
• Develop headless services for the WebSphere Commerce and GraphQL-driven global website
• Integrate APIs with legacy systems and work with databases

Senior Backend Developer – Commerce

• Design, build, and maintain scalable backend systems powering AI-driven applications
• Develop and optimize Python-based services for processing complex legal and medical documents
• Collaborate with founders, product teams, and engineers to translate user needs into technical solutions
• Integrate third-party services and build internal APIs for workflows, data pipelines, and AI models
• Use data insights and user feedback to improve system performance and product features
• Contribute to system architecture, code reviews, and engineering best practices in a fast-paced startup environment
• Build and scale an AI-driven medicolegal platform that automates workflows for personal injury law firms
• Help legal teams process cases, analyze documents, and generate insights more efficiently
• Collaborate with global engineering and operations teams

Full Stack Python Engineer

• Design, develop, test, and maintain scalable backend applications, services, and APIs
• Build backend components supporting Artificial Intelligence and Machine Learning use cases
• Work with structured and unstructured data for analytics, reporting, and intelligent decision-making
• Develop and optimize data pipelines and integrations for AI/ML and business intelligence applications
• Prepare, process, and validate datasets with data and analytics teams
• Integrate backend systems with Power BI and other business intelligence platforms
• Develop APIs and services for analytical and machine learning outputs
• Troubleshoot application issues and resolve performance bottlenecks
• Write clean, maintainable, scalable, and well-documented code
• Participate in code reviews, testing, debugging, deployment, and continuous improvement
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Stay updated on backend development, AI, ML, and data analytics technologies and best practices

Backend Developer

• Analyze large and complex datasets to identify patterns, trends, risks, and business opportunities
• Develop analytical frameworks for client experience, pricing optimization, customer acquisition, cross-sell, and retention
• Translate ambiguous business requirements into structured analytical and data science solutions
• Design, develop, validate, and deploy machine learning models
• Deliver models that generate measurable business value and support decision-making
• Develop and enhance Generative AI applications
• Design, build, and maintain scalable ETL/ELT pipelines and data workflows supporting analytics and AI initiatives
• Partner with data engineering teams to improve data quality, lineage, governance, and platform scalability
• Collaborate with business, product, operations, technology, and data teams to prioritize initiatives and deliver impactful solutions
• Present analytical findings, model outcomes, and recommendations to technical and non-technical stakeholders, including senior management
• Apply data science, machine learning, and Generative AI techniques to solve complex business problems and deliver scalable analytical solutions

Machine Learning Engineer, Python, SQL

• Collaborate with the global engineering team to design, build, and maintain backend systems powering an AI-driven medicolegal platform
• Develop and optimize Python-based services that process and analyze complex legal and medical documents
• Work with founders and tech leads to understand user needs, prioritize features, and drive core platform improvements
• Integrate third-party APIs and build internal APIs supporting case workflows, data pipelines, and AI models
• Use data and user feedback to refine system performance and guide product decisions
• Contribute to architectural planning, code reviews, and best practices in a fast-paced startup environment

• Build and maintain Apache Camel routes and Spring Boot services
• Develop new integrations and modify existing integrations
• Investigate and resolve performance issues
• Own production incidents involving orders, warehouse delivery, and shipping confirmations
• Read logs and data and coordinate with relevant stakeholders to determine root causes
• Work with ERP and operations teams to distinguish data or process problems from code defects
• Ship changes through GitHub Actions, Helm, AKS, Spring Cloud Config, Azure Key Vault, Azure Service Bus, Postgres, and Datadog
• Use AI agents to write and review code, investigate issues, produce documentation, and improve agent instructions and tooling
• Review pull requests and participate in code reviews
• Improve logging, configuration, maintainability, and operational reliability
• Serve as an individual contributor on the Integrations team, reporting to US engineering leadership and working with India ERP and data teams

Backend Engineer jobs in India

SQL Database Developer

Senior Software Engineer – Python

Software Engineer, Python

Senior Software Engineer, Python

Senior Backend Developer – Commerce

Full Stack Python Engineer

Backend Developer

Machine Learning Engineer, Python, SQL

Full Stack Python Engineer

Senior Integration Developer – Apache Camel, Java