Implement and operate cross-region replication for a Tier-1 payments platform using AWS services like DynamoDB Global Tables. Develop observability layers, manage failover runbooks, and support data migration from monolithic systems to microservices.
Design, build, and operate cloud-native infrastructure to support scalable AI and data workloads using Databricks and AWS. Collaborate with engineering teams to implement data pipelines, integrate LLMs, and ensure high performance and observability in production environments.
The role involves managing IT financial operations, procurement, and vendor relationships while serving as the operational backbone for the IT team. Additionally, the coordinator will lead GRC activities, including audit preparation, evidence collection, and policy documentation.
The Senior Software Engineer will design and deliver frontend features with a primary focus on technical SEO, page speed, and crawlability. They will collaborate across the stack to build scalable web experiences while ensuring alignment with business goals and search performance metrics.
Design, implement, and maintain secure, scalable cloud infrastructure while managing CI/CD pipelines and containerized environments. Partner with engineering teams to ensure system reliability, performance, and effective incident response.
The Cloud Engineer will lead the modernization of infrastructure as code by migrating CloudFormation to TypeScript and designing scalable, secure AWS architectures. They will also facilitate resilience testing and gameday exercises to ensure system reliability and performance.
Design and implement end-to-end product capabilities including frontend applications, backend services, and third-party integrations. Lead technical design initiatives while mentoring mid-level engineers and contributing to architectural standards.
Develop and maintain frontend features, backend services, APIs, and data integrations while ensuring clean, maintainable code. Collaborate with cross-functional teams including QA and DevOps to validate requirements, troubleshoot issues, and support production releases.
Define the target architecture and lead the design of a scalable, low-latency foundation for an Agentic AI content platform. Collaborate with engineering teams and client architects to ensure high engineering standards and architectural alignment.
Lead the discovery and design of GenAI and Agentic AI solutions by translating ambiguous business problems into production-grade technical architectures. Build rapid prototypes and proof-of-concepts to validate feasibility and guide clients through the implementation of AI-enabled workflows.
The role focuses on hunting and closing complex, multi-stakeholder enterprise deals ranging from $250K to $5M+. Responsibilities include building a pipeline from scratch and partnering with architects to deliver AI, data, and cloud engineering solutions.
Drive end-to-end sales cycles to close six- and seven-figure AI transformation deals within the ecommerce and BFSI sectors. Build a robust pipeline from scratch and partner with technical teams to design strategic AI solutions for C-level executives.
The engineer will design and implement the identity perimeter and SaaS ecosystem, specifically owning the Okta environment and driving data governance. Key tasks include automating user lifecycle management and enforcing the principle of least privilege across enterprise SaaS platforms.
Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
The role involves collaborating with cross-functional teams to design and build AI Agentic solutions, contributing to technical requirements definition, and implementing features across the entire software lifecycle. Responsibilities also include owning tasks, delivering high-quality code, managing backend work, and staying informed about AI trends.
