Build and maintain scalable data pipelines using Azure Databricks, PySpark, and SQL while developing Bronze, Silver, and Gold data layers. Collaborate with cross-functional teams to implement data validation, quality checks, and production-ready analytics solutions.
Design, build, and manage scalable multi-cloud data platforms while developing real-time and batch data pipelines. Drive technical architecture, mentor engineering staff, and ensure high standards for data reliability and security.
The Sales Development Representative will manage the MQL-to-SQL process by qualifying leads and executing multi-channel outbound campaigns. They will also conduct lead research, book qualified meetings, and maintain accurate CRM records to support sales performance.
The Sales Development Representative will manage the MQL-to-SQL process by qualifying inbound and outbound leads through multi-channel outreach. They are responsible for booking qualified meetings and maintaining accurate CRM records to track performance.
Design, automate, and manage scalable cloud infrastructure across AWS and Azure environments. Collaborate with engineering teams to optimize CI/CD pipelines, ensure system reliability, and implement robust security practices.
Lead and mentor a team of backend engineers while owning the delivery of complex backend initiatives and cross-team dependencies. Drive technical strategy, architecture, and design for scalable, high-performance systems while partnering with product and business teams.
Facilitate Agile ceremonies and support technology delivery teams to ensure efficient sprint execution. Identify and resolve blockers, risks, and dependencies while maintaining clear visibility through Jira.
Lead and mentor a team of senior engineers while owning technical strategy, architecture, and delivery for complex initiatives. Partner with stakeholders to align engineering priorities with business outcomes while fostering a culture of operational excellence.
You will own and improve a production Voice AI/LLM application for a US insurance organization. This involves building agentic workflows, improving latency and reliability, and implementing PII/PHI safeguards.
The specialist will optimize Oracle SQL/PLSQL extraction scripts and validate migration data between Quantum Control and VistaSuite ERP. They are responsible for identifying mapping issues and ensuring data integrity across purchasing, inventory, and production modules.
Design, build, and manage scalable multi-cloud data platforms while developing real-time and batch data pipelines. Ensure high standards of data reliability, security, and governance while mentoring engineering team members.
Lead and mentor engineering teams while driving strategy, architecture, and delivery of scalable technology solutions. Partner with product and business stakeholders to align engineering outcomes with business priorities and operational excellence.
Design and develop scalable backend applications and high-performance REST APIs using Python, Django, and FastAPI, while writing clean, maintainable code. Participate in system design and code reviews, collaborate with product and engineering teams, mentor junior developers, and help improve engineering standards.
You will operate and monitor cloud infrastructure, applications, and containerized environments while managing deployments and routine maintenance. Additionally, you will troubleshoot production incidents, perform root cause analysis, and automate infrastructure provisioning tasks.
Gather, analyze, and document business and technical requirements while creating user stories and process flows. Collaborate with engineering and QA teams to define system behavior, manage requirement changes, and support user acceptance testing.
Design and maintain scalable API and web/mobile automation frameworks while integrating tests into CI/CD pipelines. Perform performance testing, identify bottlenecks, and collaborate with engineering teams to ensure high product quality.
You will own the product roadmap for fraud prevention, detection, and Trust & Safety capabilities to protect financial transactions. You will collaborate with Engineering, Data Science, and Risk teams to implement ML-driven models and monitor product performance metrics.
You will build AI agents, intelligent systems, and automated workflows by taking ideas from prototype to production. The role involves collaborating with stakeholders to experiment with solutions and implement reliable AI systems using Python and FastAPI.
Design and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, and AWS. Collaborate with product and business teams to build data ingestion, transformation, and analytics solutions for large-scale datasets.
Develop and maintain interactive Power BI dashboards, reports, and scalable data models using DAX and Power Query. Integrate data from various sources including Dynamics 365 and SharePoint while managing refresh schedules and security protocols.
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 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.
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.
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.
