Software Engineer - India
Own the end-to-end delivery of product features from ambiguous problem statements to shipped software. Partner with product and design teams to build understandable and trustworthy AI-driven experiences.
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Own the end-to-end delivery of product features from ambiguous problem statements to shipped software. Partner with product and design teams to build understandable and trustworthy AI-driven experiences.
The Software Engineer III is responsible for the design, development, and maintenance of software applications and business process solutions throughout the full development lifecycle. This role also involves providing technical leadership, mentoring junior engineers, and collaborating with cross-functional teams to implement scalable technology solutions.
The Associate Software Engineer will design, develop, test, and maintain software solutions while collaborating with cross-functional teams to meet business objectives. They are expected to implement features, participate in code reviews, and contribute to engineering best practices with increasing independence.
The successful candidate will perform and lead complex transmission planning studies, including power flow and dynamic stability analysis to support network expansion. They will also collaborate with clients, mentor junior engineers, and produce high-quality technical documentation while managing multiple projects.
The Senior Analytics Engineer will architect and maintain scalable data pipelines to support marketing sciences, growth analytics, and predictive modeling. They will bridge the gap between data engineering and growth initiatives by ensuring high-fidelity data availability for demand modeling and customer interventions.
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The Project Engineer manages all engineering tasks for material handling projects, including schedules, budgets, and vendor coordination. They also provide technical support, review customer specifications, and ensure successful integration of automation solutions.
The Principal Software Engineer will define the architecture for WEX's Semantic Data Lake and design semantic business objects to integrate enterprise data with business context. They will also build scalable platform capabilities and mentor engineering teams to ensure consistent standards across the organization.
The Forward Deployed Engineer will embed with customer teams to implement and deploy Blockstream's enterprise software solutions within complex banking environments. They will act as a technical bridge, writing code, building integrations, and providing feedback to improve product roadmaps.
You will drive technical discovery and demo conversations while translating complex infrastructure problems into high-impact pilot evaluations. Additionally, you will collaborate with product and engineering teams to scope integrations and ensure successful customer implementation and adoption.
The Technical Support Engineer manages customer questions, incidents, and bug/feature requests while maintaining accurate records in the case tracking system. They also collaborate with other departments to resolve product issues and configure customer systems to meet specific requirements.
The Cloud Network Engineer designs, implements, and secures enterprise network infrastructure across hybrid cloud and on-premises environments. This role also manages automation, cloud migration initiatives, and provides technical leadership for network operations.
Translate approved AI architectures into secure, scalable, and maintainable production-ready systems using LangChain and LangGraph. Build and deploy LLM-powered applications, agentic workflows, and RAG solutions while ensuring operational readiness and performance.
You will design and implement high-quality, AI-native user interfaces while owning the evolution of the design system and component libraries. The role involves rapid prototyping, writing production-ready code, and collaborating closely with stakeholders to build complex developer-facing products.
The Automation Support Engineer will serve as the primary point of contact for customer robotics systems, managing software and hardware cases. They will collaborate with cross-functional teams to deploy solutions, perform system upgrades, and provide training to customers.
The Automation Support Engineer will serve as the primary point of contact for customer robotics systems, managing both software and hardware cases. They will collaborate with cross-functional teams to troubleshoot, deploy, and upgrade laboratory automation solutions while maintaining strong customer relationships.
You will diagnose and solve complex, ambiguous client problems by building solutions across the full technical stack. This involves managing the entire lifecycle from discovery and implementation to production deployment and stakeholder communication.
The Senior DevOps Engineer will own production reliability during APAC hours, including incident management and cross-region handoffs. They will also build and operate secure, scalable infrastructure using Kubernetes, Terraform, and GitOps workflows.
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The AI/ML Engineer will design, implement, and optimize machine learning algorithms and generative AI solutions to support mission-critical predictive forecasting and decision-support capabilities. They will also integrate these models into secure web-based applications while maintaining MLOps and DevSecOps practices for scalable production deployment.
The Senior AVD Engineer will architect, design, and maintain a large-scale virtual desktop environment while providing Tier 3/4 support for complex performance issues. They will also act as a technical liaison and conduct trade studies to optimize platform interoperability and system performance.
Lead the architecture, design, and implementation of Saviynt IGA solutions for enterprise clients. Manage identity lifecycle processes, access governance models, and application onboarding while providing technical leadership to project teams.
You will collaborate with cross-functional teams to deliver fullstack projects across mobile and web platforms while ensuring system availability and performance. Additionally, you will participate in the product development lifecycle by articulating technical constraints and supporting team growth through mentorship and interviews.
You will collaborate with cross-functional teams to deliver fullstack projects across mobile and web platforms while ensuring system availability and performance. Additionally, you will participate in the product development lifecycle, providing technical expertise and supporting team growth through mentorship and code reviews.
You will lead AI adoption and operationalization across the squad while designing agentic testing workflows to improve quality and efficiency. Additionally, you will mentor junior engineers and collaborate with cross-functional teams to establish scalable validation strategies and automated testing standards.
You will build and maintain a scalable, secure, and AI-friendly infrastructure platform to support the engineering organization. This involves defining infrastructure strategy through technical specifications and collaborating with product teams to solve complex production problems.
You will build and ship features for the AI workspace platform while developing autonomous agents that interact with sensitive enterprise data. You will also collaborate with researchers to productionize state-of-the-art AI models and techniques.
You will design and build software for Indeed's homepage and search platforms to create an adaptive, AI-driven discovery experience. This involves collaborating with cross-functional teams to deliver high-quality, scalable frontend solutions while contributing to technical design and system evolution.
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You will design, develop, and maintain custom applications and automated workflows within the ServiceNow platform. Additionally, you will integrate enterprise systems and implement Now Assist AI capabilities to streamline operational processes.
The SRE will own and improve production infrastructure reliability, stability, and scalability through automation and Infrastructure-as-Code. They will also manage deployments, monitor system health, and collaborate with cross-functional teams to optimize CI/CD pipelines and observability.
You will shadow client operations to identify pain points and build, integrate, and deploy AI-driven automation solutions directly into production environments. Additionally, you will refine AI agent behavior based on real-world data and feed insights back to the product team to enhance platform capabilities.
The role involves improving production reliability and system resilience while championing DevOps and SRE best practices. You will participate in on-call rotations, incident response, and collaborate with global teams to maintain secure and scalable infrastructure.
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