You will build and automate machine learning pipelines for training, deployment, and monitoring while managing cloud-based ML infrastructure. You will also collaborate with data scientists and engineers to productionize models and improve MLOps practices.
Design and build scalable backend services using Java and Spring Boot to handle document ingestion, parsing, and extraction pipelines. Develop asynchronous workflows and REST APIs while ensuring system performance, concurrency, and high-volume data processing.
You will build and deploy production-grade AI agents, intelligent systems, and automated workflows to solve complex business problems. The role involves collaborating with cross-functional teams to integrate AI solutions with backend services and third-party platforms.
Design, build, and maintain scalable data pipelines and cloud data solutions using Snowflake. Collaborate with engineering and analytics teams to ensure high-quality data availability for reporting and decision-making.
The Technical Recruiter is responsible for sourcing, screening, and selecting candidates for technical and leadership roles. They will coordinate with hiring managers, conduct interviews, and manage the recruitment process through the ATS.
Facilitate Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives to ensure effective team delivery. Identify and resolve blockers, risks, and dependencies while maintaining clear visibility through Jira.
The role focuses on building and maintaining centralized monitoring systems, Splunk dashboards, and SIEM rules to ensure system traceability and compliance. You will also automate operational tasks using Python and investigate incidents to improve overall system reliability.
The role involves building and maintaining centralized monitoring systems, Splunk dashboards, and SIEM rules to ensure system traceability and compliance. You will also manage logging across cloud environments and automate operational tasks using Python.
Architect and build low-latency trading systems, including pricing aggregation, execution engines, and smart order routing. Lead technical architecture, perform code reviews, and mentor team members while ensuring resilient infrastructure in trading environments.
Design and maintain scalable ETL/ELT pipelines and data workflows while ensuring data quality and security. Contribute to the development of voice-agent solutions, including speech-to-text, text-to-speech, and LLM integrations.
Build and maintain backend services and APIs for a card issuance platform, including card lifecycle and transaction workflows. Collaborate with product and engineering leads to translate requirements into software while participating in code reviews and troubleshooting.
Own the product roadmap and requirements for trading platforms while managing workflows for pricing, order routing, and execution. Collaborate with cross-functional teams including engineering, risk, and operations to manage integrations with exchanges and liquidity providers.
Design and develop backend systems for AI agents using Python, LangGraph, and LangChain. Collaborate with cross-functional teams to convert business use cases into production-ready agent workflows.
The role involves building reliable and scalable automated test suites for mobile applications using tools like Playwright and Appium. Responsibilities include integrating automation into CI/CD pipelines, optimizing test execution, and collaborating with teams to improve release quality.
Lead the development of internal products and growth tools from problem identification through launch and adoption. Collaborate with engineering and design teams to define requirements, prioritize features, and track business outcomes using metrics.
Develop clean and efficient Rust code to build and maintain APIs and microservices within a distributed architecture. Collaborate with cross-functional teams to translate business requirements into technical solutions and improve system observability.
Drive new business acquisition and expand market presence across Europe, Middle East, APAC, and Australia. Manage the full sales lifecycle for AI, Cloud, and custom software development services while building relationships with CXOs.
Drive revenue growth across North America by acquiring new enterprise customers and building strategic relationships with CXOs. Manage the full sales cycle for AI, Cloud, and custom software development services from prospecting to closure.
Build polished AI product experiences, use cases, and end-to-end applications across search, chat, and workflow automation. Integrate internal APIs and UI components to translate product capabilities into functional, production-ready experiences.
Design and implement comprehensive test automation strategies to ensure software quality across web, mobile, and API platforms. Collaborate in an Agile environment to maintain high standards of accuracy and reliability for identity governance and compliance services.
The MLOps Engineer will design, build, and maintain scalable machine learning pipelines and cloud-based environments. They will collaborate with cross-functional teams to deploy, monitor, and govern enterprise ML solutions to drive business impact.
Perform manual and automated testing for web and mobile platforms while designing and enhancing automation frameworks using Playwright. Collaborate with cross-functional teams to integrate test suites into CI/CD pipelines and ensure quality across complex trading workflows.
Design, develop, and maintain Power BI dashboards to provide actionable insights for Sales, Finance, Operations, and Compliance departments. Focus on tracking trading activity, financial KPIs, and operational performance while ensuring data accuracy and scalability.
