IT Engineer
The IT Engineer will own internal systems, corporate IT, and identity management to ensure secure scaling. Responsibilities include managing device lifecycles, administering SaaS applications, and automating internal IT workflows.
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The IT Engineer will own internal systems, corporate IT, and identity management to ensure secure scaling. Responsibilities include managing device lifecycles, administering SaaS applications, and automating internal IT workflows.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding complex domain concepts.
Review and critique AI-generated scientific content to ensure technical accuracy and rigor. Create and refine real-world scenarios and problem sets to guide AI in understanding complex domain concepts.
Build and manage the legal infrastructure, including portals and internal tools, from ideation to launch. Translate complex legal requirements into functional software and AI-supported tools.
Design and implement production-ready AI agent workflows using KPU technology to solve enterprise problems. Build evaluation frameworks to measure AI performance and optimize workflows for reliability and explainability.
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Define and drive the product strategy and roadmap for AI, analytics, and data fusion capabilities to support complex investigations. Collaborate with engineering, sales, and leadership to translate customer needs into scalable technical solutions and high-impact product directions.
Develop high-performance web solutions using Python and ensure responsiveness to front-end requests. Automate processes to streamline the development lifecycle and follow defined roadmaps.
Accountable for the design, build, QA, and execution of data-driven marketing campaigns to meet client strategic agendas. Collaborates with technical teams to orchestrate data across platforms and provides consulting on campaign optimization.
The role is responsible for the end-to-end design, build, QA, and execution of data-driven marketing campaigns to meet client strategic goals. It involves consulting on campaign improvements and coordinating between analytics, data, and technical teams to ensure timely delivery.
Deploy and optimize enterprise-grade AI solutions and RAG pipelines for Fortune 500 clients using the Stack AI platform. Contribute to the platform's codebase and lead technical sales efforts, including demos and proposals.
Solve complex production problems end-to-end by diagnosing root causes and building automation to prevent recurrence. Act as a bridge between customer issues and product development to improve overall product quality.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from development through iteration.
Translate functional requirements into robust technical solutions and high-quality applications using Salesforce platform functionalities. Responsible for designing reusable code, identifying bugs, and managing deployments across multiple environments.
Design and build modern analytics solutions using Microsoft Fabric and Power BI, implementing medallion architectures and AI-enabled experiences. Lead client-facing workshops to gather requirements and translate business needs into technical solutions for senior stakeholders.
Design, develop, and implement Generative AI solutions using Python, LLMs, and RAG. Integrate AI capabilities with APIs, databases, and enterprise legacy systems within AWS environments.
Debug and troubleshoot incidents with Sonatype products while reproducing defects for the engineering team. Act as a technical liaison between customers and product management to prioritize enhancements and maintain the knowledge base.
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The role focuses on validating backend services, data processing, and calculation logic for the Nexus application. Responsibilities include performing API and SQL-based data validation and maintaining Python-based automation within CI/CD pipelines.
Design and build scalable batch and real-time data pipelines and lakehouse solutions to support a growing customer base. Collaborate with Data Science and DevOps teams to productionize ML/AI workloads and ensure robust data flows.
The Customer Quality Engineer serves as the primary quality contact for customers in the Chennai region, managing complaints and driving corrective actions. They collaborate with global and local cross-functional teams to ensure zero-defect targets and prevent disruptions to assembly operations.
Develop, maintain, and stabilize automated UI and end-to-end tests for web applications using modern frameworks. Collaborate with developers, test managers, and Product Owners to integrate tests into CI/CD pipelines and ensure high-quality software delivery.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
Build and deploy full-stack applications, internal tools, and dashboards using Claude Code. Translate specifications into production-ready software and manage projects from setup through iteration.
Develop Salesforce solutions using OmniStudio tools to create dynamic user interfaces and automated workflows. Collaborate with stakeholders within an Agile framework to deliver scalable solutions for public sector projects.
Develop and maintain scalable Android mobile applications using Kotlin while collaborating with cross-functional teams to implement new features. Ensure code quality through technical design, architecture, and rigorous testing and code reviews.
Build scalable security infrastructure and embed compliance and risk controls directly into the Cadence platform. Design security controls across cloud infrastructure and develop AI governance frameworks to ensure safe and reliable AI outcomes.
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Develop and enhance C++ software on a Linux platform to process and analyze financial data. Collaborate with quantitative research analysts and engineers to deliver software solutions.
Lead the design and implementation of complex ETL/ELT pipelines and data warehousing projects for clients. Collaborate with internal and external stakeholders to deliver data integrations and real-time processing solutions.
Build and deploy AI-powered tools and agents to automate manual workflows across internal operations, finance, and customer success teams. Partner with executive leadership to identify high-leverage operational problems and define the company's internal AI strategy.
Design, develop, and implement scalable CRM solutions using Microsoft Dynamics to automate business processes. Maintain system performance and provide technical support for production environments.
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