Top Software Engineer Jobs in Pune

Designs, develops, tests, and maintains software installation and deployment solutions across Windows, Linux, and containerized environments. Builds installation tools, automation, scripts, and automated tests using C#, C++, PowerShell, and Bash. Works with Docker, Kubernetes, CI/CD pipelines, version control, and database configuration. Troubleshoots complex deployment issues, participates in the full software development lifecycle, collaborates with cross-functional teams, and applies AI-assisted development tools with appropriate technical validation.

Designs, develops, tests, and maintains software across desktop, web, cloud, and deployment environments. Builds automation, APIs, services, CI/CD pipelines, installation processes, and containerized solutions using C#, C++, scripting, cloud, and database technologies. Participates in architecture, code reviews, troubleshooting, Agile development, and cross-functional collaboration. Uses and validates AI-assisted development tools while ensuring security, scalability, reliability, maintainability, and software quality.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

Designs, builds, and supports internal engineering platforms, test frameworks, CI/CD pipelines, cluster provisioning tools, and performance-testing systems. Owns integration and end-to-end testing libraries, analyzes scale-test results, triages failures across product and infrastructure layers, and drives fixes to root cause. The role also involves code reviews, technical documentation, mentoring, and supporting internal engineering users across Kubernetes, cloud, on-premises, and infrastructure-as-code environments.

Develop and support high-performance Ruby on Rails backend services for Perforce’s P4 DAM platform. Responsibilities include building REST APIs, integrating with Helix Core, optimizing scalability and reliability, managing Rails upgrades and security patches, writing tests, debugging complex issues, and contributing to architecture and technical direction. The role requires collaboration with Product, DevOps, QA, Support, and UI teams while taking independent, end-to-end ownership of enterprise software delivery.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Develop, enhance, test, deploy, and support enterprise applications, integrations, APIs, workflow automation, and cloud-based solutions. The role uses Azure and programming languages such as Python, JavaScript, TypeScript, C#, and Java, while contributing to AI-enabled capabilities, copilots, and intelligent automation. Responsibilities include troubleshooting, code reviews, documentation, stakeholder collaboration, continuous improvement, and applying emerging technologies within a regulated financial-services environment.

Design, build, and maintain cloud infrastructure and automation using IaC (Terraform) across Azure and AWS. Develop and maintain CI/CD pipelines (ADO, Jenkins, GitHub Actions, GitLab CI/CD), integrate security and testing into delivery, use AI-assisted tools to improve productivity, and support operations, monitoring, and incident resolution.

Leads development of secure, scalable software services and applications using Java, Spring, Kafka, APIs, and distributed-system patterns. Owns complex cross-service problems, architecture, prioritization, automation, integration, troubleshooting, incident analysis, and operational excellence. Mentors engineers, guides technical decisions, promotes secure coding and quality practices, partners with product teams, supports agile delivery, and conducts technical interviews.

Designs and maintains large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Develops production-quality automation, integrates tests into CI/CD pipelines, troubleshoots application and production issues, and expands test coverage using AI-assisted development tools. Collaborates with engineering, DevOps, product, and QA teams to improve reliability, observability, maintainability, and automation efficiency.

Design and build production-grade data pipelines, services, APIs, and data models powering analytics and AI features. Optimize performance and scalability, implement data validation, monitoring, security, and multi-tenancy, and lead troubleshooting. Establish technical approaches, participate in reviews and CI/CD, collaborate across product and data teams, and mentor engineers.

Provides end-to-end technical support for global clients using Fluent Order Management. Responsibilities include troubleshooting post-implementation issues, resolving incidents within SLAs, automating monitoring, developing and testing enhancements, maintaining runbooks, analyzing operational trends, and communicating with client and IT stakeholders. The role requires rotational shifts and on-call support, along with hands-on experience in Java, GraphQL, REST APIs, Python, API testing, and CI/CD practices.

Designs, develops, tests, and deploys Syndigo MDM solutions for enterprise customers. Responsibilities include modeling product and party data, configuring workflows and business rules, building integrations and Marketplace Apps, implementing data onboarding and outbound interfaces, advising customers on solution design, mentoring junior developers, and leading development standards and project execution.

Develop and deploy embedded edge analytics and Industrial IoT software for industrial environments. Responsibilities include firmware integration, gateway development, sensor and industrial protocol connectivity, edge-to-cloud communication, real-time analytics, cybersecurity, device management, and system troubleshooting. The role collaborates with cloud, AI/ML, data, product, and industrial engineering teams while contributing to architecture, documentation, mentoring, and reliable deployment of secure edge solutions.

Supports a business-critical warehouse management system in a 24x7 environment. Responsibilities include application maintenance, upgrades, incident resolution, infrastructure and database administration, SQL performance optimization, monitoring, integrations, change and release management, vendor coordination, SOX compliance, disaster recovery testing, documentation, and continuous service improvement.

Provides 24x7 production and application support for a business-critical warehouse management system. Responsibilities include monitoring, incident resolution, troubleshooting, SQL and database support, application maintenance, upgrades, release testing, infrastructure coordination, documentation, SOX compliance, and disaster recovery testing. The role collaborates with infrastructure, networking, cybersecurity, SAP, middleware, database, and vendor teams to maintain application availability, security, and performance.

Develop LabVIEW-based test, measurement, data acquisition, traceability, and diagnostic applications for automated automotive machines. Integrate PLCs, instruments, NI DAQ devices, CAN/LIN systems, scanners, databases, and MES platforms. Create test sequences, operator interfaces, reports, and data logging solutions; troubleshoot hardware, software, and communication issues; and support machine validation, commissioning, and customer acceptance. Maintain documentation, source code, and version control while collaborating with Controls, Electrical, and Mechanical engineering teams.

Lead frontend architecture and strategy for Zendesk’s Admin Experience. Drive enterprise-scale UI initiatives, reusable components, cross-team technical programs, CI/CD pipelines, testing infrastructure, performance, accessibility, reliability, and developer productivity. Partner with Product and Design, remain hands-on with coding, manage technical tradeoffs, mentor engineers, and guide globally distributed teams toward scalable, AI-first customer administration experiences.

Own the backend architecture and technical strategy for Perforce Prism, an internal AI platform. Build scalable AI services, agent orchestration, protocols, and production infrastructure while ensuring reliability, observability, security, governance, and cost efficiency. Evaluate emerging AI technologies, optimize inference and model usage, support MongoDB and pipeline dependencies, and guide AI adoption through technical leadership, documentation, training, and stakeholder communication.

Develop and maintain industrial desktop software using C# and .NET, including user interfaces, business logic, databases, APIs, dashboards, and data visualization. Integrate applications with PLC-driven systems, industrial data platforms, and engineering workflows. Troubleshoot software and database issues, participate in testing and code reviews, document solutions, and collaborate with multidisciplinary engineering teams on modernization and digitalization initiatives.

Build and support scalable frontend and backend applications within Maersk’s People Technology team. Develop APIs, Generative AI solutions, copilots, and autonomous agents; configure and enhance Workday HR modules; and implement secure cloud-native services on Azure. The role includes DevOps, CI/CD, testing, incident management, change delivery, stakeholder advising, and Agile Scrum collaboration across Recruitment, Compensation, Benefits, and related HR systems.

Supports global client onboarding for electronic trading products and FIX certifications across brokers, ECNs, ATSs, and exchanges. Collaborates with account management, development, QA, and support teams; maintains certification data integrity; and helps deliver client onboarding targets. The role provides exposure to FIX protocol, multi-asset trading workflows, execution venues, and capital markets technology.

Provides hands-on architecture and engineering leadership for Mastercard’s real-time payments platforms. Designs and builds scalable, resilient microservices and event-driven systems; owns performance, security, reliability, observability, and production readiness. Leads technical design and code reviews, resolves complex distributed-systems problems, drives cross-market platform consistency, mentors engineers, influences technology roadmaps, and supports technical hiring.

Principal Software Engineer for Mastercard’s Real Time Payments platform, driving platform engineering, CI/CD, architecture, developer experience, AI enablement, engineering standards, and governance. The role requires solving complex technical problems, designing secure and scalable solutions, influencing cross-functional teams, mentoring engineers, communicating with executives, and improving software delivery practices across the program.