Top Software Engineer Jobs in Kolkata

Build, deploy, and operate full-stack cloud applications on SAP BTP. Develop Node.js backend services, APIs, data models, SAPUI5 interfaces, and SAP HANA persistence solutions. Configure BTP subaccounts, services, roles, connectivity, and MTA deployments. Integrate agentic AI capabilities including LLMs, tool calling, retrieval-grounded experiences, memory, evaluation, monitoring, and safety controls. Collaborate through Git-based workflows and Agile/Scrum practices while debugging and productionizing applications.

Develop and optimize custom SAP ABAP software for HANA environments, including database programming, performance tuning, debugging, testing, and maintenance. Lead project activities, make team decisions, coordinate across multiple teams, solve complex problems, mentor junior engineers, and facilitate stakeholder communication while delivering scalable, reliable solutions using agile practices.

Develop and enhance custom Java full-stack software solutions using modern frameworks and agile practices. Design scalable applications, build RESTful APIs, integrate backend services, and work with SQL and NoSQL databases. Serve as a subject matter expert, make team decisions, coordinate cross-functional delivery, improve engineering processes, and mentor junior developers.

Develop and enhance custom Pega software solutions using modern frameworks and Agile practices. Design application architecture, process flows, data models, integrations, security, reusable components, reporting, and deployment processes. Lead code quality, guardrail compliance, decision management, batch processing, and system integration activities. Manage multiple Scrum teams, handle client communications independently, and provide team leadership. Requires strong Pega development experience, Python, prompt engineering, and relevant Pega certifications.

Develop production-grade SAP applications using ABAP on HANA, CDS views, AMDP, SQLScript, and OData services. Build AI-native capabilities including LLM tool orchestration, retrieval grounding, evaluation frameworks, guardrails, and observability. Design secure, scalable, high-performance solutions with automated testing, integrations, monitoring, and reliable enterprise operations.

Develop and enhance Pega-based custom software applications, including process flows, integrations, data models, security, reporting, decision management, and reusable components. Lead agile delivery across multiple scrum teams, oversee deployments and code quality, manage project metrics, and handle client communication. The role requires Pega framework expertise, integration development, Python and prompt engineering experience, team leadership, and mandatory CSA and CSSA certifications.

Design, configure, and implement O9 supply chain planning applications. Gather business and data requirements, develop functional and technical designs, build datasets and workflows, execute SIT/UAT testing, troubleshoot platform configurations, support go-live, train users, and mentor junior analysts. The role requires expertise in supply chain planning, data modeling, O9 technical design, SQL or IBPL scripting, JSON, analytics concepts, and client stakeholder collaboration.

Leads the design, development, configuration, and enhancement of ServiceNow applications, specializing in Software Asset Management. Acts as the primary stakeholder contact, gathers requirements, troubleshoots complex enterprise issues, manages delivery priorities, and provides technical guidance to junior team members. The role also involves application integration, data management, solution scalability, and continuous performance improvement.

Analyze, design, code, test, maintain, and enhance application components across multiple clients. Lead team decisions, collaborate across teams, solve technical problems, mentor junior engineers, and improve development processes. The role requires Google Cloud Platform architecture expertise, cloud application development and deployment experience, containerization knowledge using Docker and Kubernetes, and understanding of cloud security best practices.

Develop and enhance scalable custom software solutions using Palantir Foundry, MySQL, Python, and PySpark. Design data integration and transformation workflows, optimize application performance, troubleshoot issues, and support application lifecycle management. Serve as a subject matter expert, make team decisions, coordinate cross-functional collaboration, improve processes, and mentor junior engineers while delivering solutions aligned with business requirements.

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search advertising infrastructure. Build large-scale data processing systems, pipelines, distributed services, and AI/ML applications using Java, Spark, Kafka, Flink, and GCP. Provide technical leadership, conduct architecture reviews, mentor engineers, collaborate cross-functionally, and drive software quality, resilience, observability, and continuous improvement.

Leads the design, development, and deployment of scalable data platforms and AI applications. Builds cloud-based data pipelines with Python, Scala, Spark, Airflow, and GCP services; ensures data quality, governance, lineage, and modeling. Develops RAG and agentic AI solutions using LangChain and LangGraph, supports SAP e-commerce data flows, monitors pipeline reliability, influences architecture, mentors engineers, and drives cross-functional technical excellence.

Design, develop, operate, and optimize large-scale software-defined networking solutions for NVIDIA AI Cloud environments. Responsibilities include building OVS/OVN control and data plane software, Kubernetes networking services, observability systems, CI/CD pipelines, GitOps integrations, and secure gRPC/REST services. The role owns production reliability, incident response, performance tuning, and upstream open-source contributions while collaborating with SRE, DevOps, and network engineering teams.

Leads the design, development, testing, and delivery of scalable software solutions within Walmart’s data frameworks team. Responsibilities include requirements analysis, architecture and component design, coding, code reviews, debugging, performance monitoring, corrective maintenance, and CI/CD support. The role develops data access frameworks and SDKs for relational, NoSQL, cache, search, and messaging systems while collaborating with stakeholders to deliver secure, maintainable, high-performance applications.

Lead the design and implementation of scalable software systems across Built In’s product lines. Drive technical features, improvements, AI-enabled capabilities, and end-to-end software development on public cloud platforms. Analyze system-level issues, implement solutions, collaborate across product and technology teams, and mentor engineers while promoting agile development, observability, continuous delivery, and engineering excellence.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code reviews, CI/CD, and production support. Integrates AI/ML components, translates business needs into technical requirements, monitors performance, and promotes secure, maintainable engineering practices. The role also involves stakeholder collaboration, mentoring, and contributing to technical strategy and continuous improvement across Walmart’s AdTech platform.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Applies cloud-native architecture, manages the full software lifecycle, conducts design reviews, builds AI-driven applications, and ensures reliable production systems. The role mentors engineers, influences architecture, collaborates with stakeholders, and drives continuous improvement through innovation, automation, and engineering best practices.

Develop, test, maintain, and optimize secure, scalable Java and Spring Boot backend applications. Design RESTful APIs and microservices, work with AWS cloud services, databases, CI/CD pipelines, and automated testing. Own features from design through deployment and monitoring, participate in Agile and SAFe ceremonies, support production incidents, and collaborate with globally distributed teams while using AI-assisted development tools.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Design, build, operate, and optimize globally available distributed data ingestion and processing systems for Twilio Segment. The role handles high-volume streaming workloads, improves reliability, performance, security, and cost efficiency, collaborates with engineering and product teams, serves as a technical lead, mentors engineers, and partners with application teams to deliver customer solutions.

Develop and ship full-stack enterprise features using C#/.NET, ASP.NET Core, SQL, and modern web technologies. Integrate Azure OpenAI and other Azure AI services for document extraction, RAG, agents, and tool use while ensuring observability, security, privacy, and compliance. Use AI-assisted development tools, contribute to architecture and code reviews, write automated tests, maintain Azure DevOps CI/CD pipelines, and collaborate across product, QA, infrastructure, hosting, and database teams.

Build and maintain production Android applications with AI-native interactions. Integrate chat, vision, voice, and recommendation features through backend APIs; design resilient streaming and partial-result experiences; optimize performance, memory, and responsiveness; and implement analytics, logging, monitoring, security, and feedback systems. Collaborate with backend and ML engineers on API contracts, diagnose production issues, and deliver stable, scalable mobile experiences.

Build and maintain production-grade iOS applications using Swift and SwiftUI, integrating AI features through backend APIs. Design reliable AI interaction patterns, optimize performance, memory, battery, and latency, and support on-device inference. Collaborate with backend and ML engineers on APIs and system behavior, capture user feedback for AI evaluation, maintain App Store quality, and diagnose production issues through monitoring and root-cause analysis.

Leads a software engineering squad delivering invoice ingestion, funder allocation, settlement, and supplier onboarding services. Defines technical tasks and architectures, reviews code and designs, maintains testing and quality standards, and ensures production-ready Kubernetes deployments. Mentors and manages developers, facilitates Agile ceremonies, tracks delivery risks, and coordinates DevOps pipeline improvements. The role requires strong Java and cloud-native engineering experience, with additional expertise in Scala or Python and familiarity with Angular.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.