Top Software Engineer Jobs in Kolkata

Develop, design, code, and enhance scalable custom software components using webMethods Fabric and modern agile practices. Troubleshoot distributed-system issues, implement process improvements, collaborate across teams, make technical decisions, coordinate project milestones, and mentor junior engineers. The role requires subject-matter expertise in integration patterns, middleware, continuous integration, and webMethods Fabric-based software development.

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 custom software components using Veeva CRM, modern frameworks, and agile practices. The role involves designing scalable solutions, troubleshooting complex technical issues, integrating CRM systems with enterprise applications, leading process improvements, making team decisions, collaborating across teams, and mentoring junior engineers.

Develops and enhances custom software components using Talend ETL and modern development practices. Designs data integration workflows, performs extraction, transformation, and loading, and optimizes ETL jobs for scalability and performance. Collaborates with cross-functional teams, documents solutions, troubleshoots issues, and supports junior team members while contributing independently as a subject matter expert.

Develop and enhance custom software solutions using GCP Vertex AI and cloud-native services. Design scalable applications, optimize distributed-system performance, and apply agile development practices. Lead technical decisions, mentor team members, establish software engineering best practices, coordinate stakeholders, and collaborate across teams to align development work with business goals.

Designs, builds, configures, tests, and troubleshoots applications using Ab Initio to meet business requirements. Collaborates with project teams, participates in code reviews and technical discussions, documents application specifications and user guides, and contributes to solution development and process improvements. The role also involves ETL and data integration, database management, SQL, debugging, and independently serving as a subject matter expert.

Develop and enhance custom software applications using Spring Boot, microservices, RESTful APIs, and modern development practices. Lead technical delivery as a subject matter expert, collaborate across teams, guide team members, make technical decisions, solve complex problems, facilitate knowledge sharing, and monitor project milestones to ensure timely delivery and high-quality performance.

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 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.

Leads end-to-end software development for Walmart Ads’ Unified Recommendations Platform, including system design, coding, testing, deployment, monitoring, and maintenance. Builds scalable cloud-native distributed systems, integrates AI/ML capabilities, conducts design reviews, and drives technical execution. Mentors engineers, collaborates with stakeholders, defines success metrics, and improves engineering processes, tooling, and products.

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.

Design, build, and operate high-scale data routing, ingestion, and processing systems for Twilio Segment. Develop scalable distributed services in cloud environments, collaborate with product, design, and engineering teams, communicate technical trade-offs, mentor junior engineers, and participate in on-call support. Improve reliability, troubleshoot production issues, and refine operational tooling while delivering customer-focused features through modern CI/CD practices.

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.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Build and enhance full-stack, consumer-facing web applications for AI-driven product discovery, search, recommendations, and personalization. Develop reusable React components, integrate APIs and microservices, support backend services, and work with AI/ML and data teams. Contribute to scalable, secure, observable, and reliable solutions using search platforms, cloud services, databases, caching, and event-driven architectures. Collaborate cross-functionally with engineering, product, and design teams to deliver engaging digital experiences.