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Investigate customer payment issues end to end across APIs, internal systems, ledgers, partner banks, payment rails, and blockchains, while keeping customers informed and coordinating with banks and providers. Identify and escalate genuine bugs, support compliance requests, document recurring issues, review new rails, and build SQL queries, scripts, and automation to reduce manual work.
Own full-cycle recruiting across teams and countries, including sourcing, screening, interview coordination, references, offers, and hiring pipeline reporting. Coordinate onboarding and offboarding, manage recruiting workflows in Lever, and build foundational people operations processes and systems.
Design, build, and maintain ledger and treasury services, including double-entry accounting, reconciliation across bank and on-chain balances, and recording fiat–stablecoin conversions. Develop resilient, idempotent systems with immutable audit trails and tools for liquidity management and accounting yield-bearing and financing instruments.
Manage the customer onboarding queue by reviewing applications and documentation, conducting KYC/KYB and sanctions-related screening, assigning risk ratings, and escalating higher-risk cases. Maintain onboarding procedures and metrics, support periodic reviews, and respond to due diligence requests from examiners and correspondent banks.
Build and maintain Caliza’s customer dashboard, including real-time payment and balance views, transaction tables, search, filtering, exports, reporting, and role-based permissions. Integrate with back-end APIs, contribute to Kotlin and Spring Boot services when needed, and own front-end performance, testing, accessibility, and shared component standards.
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Build, test, and support Databricks data pipelines that ingest, clean, validate, and organize source data into reusable datasets for analytics, reporting, and automation. Document pipelines and business rules, resolve data quality issues, coordinate with stakeholders and senior engineers, and own assigned work through delivery and production support.
Develop, test, deploy, and maintain applications, automation, integrations, dashboards, and user interfaces using Python, JavaScript, Google Apps Script, SQL, APIs, and modern web frameworks. Collaborate with government stakeholders and senior developers to refine requirements, deliver work in Agile sprints, support production tools, and document code.
Manage player support across multiple channels, investigate and document player issues, respond to app store reviews, and moderate player communities. Analyze player feedback and support data, report trends and recommendations to internal teams, support LiveOps communications, and improve support processes and performance.
Lead supplier quality assurance, development, audits, non-conformance resolution, and corrective actions, while supporting new product introduction and productivity initiatives. Drive quality improvements across business processes, maintain ISO 9001:2015 certification, apply IATF Core Tools, and report on quality performance indicators.
Manage a portfolio of public sector customers, build trusted relationships, monitor account health, support renewals, and coordinate customer needs through resolution. Guide customers through product migrations, identify expansion opportunities, maintain accurate CRM records, and share customer insights with internal teams.
Lead SymPro’s sales and marketing function by setting commercial strategy, developing the team, improving pipeline discipline and forecasting, and aligning marketing activity with revenue goals. Support strategic sales opportunities and customer expansion, while using market and customer insights to guide positioning and growth.
Design, train, evaluate, and deploy advanced machine learning systems that address high-impact business problems, taking solutions from research prototypes into robust, scalable production pipelines. Evaluate emerging AI research for practical use and support the ongoing observability, safeguards, and improvement of deployed models.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, and post-silicon validation. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
Design, develop, and maintain Coupa integrations with enterprise systems, including API integrations, supplier onboarding, and data synchronization with ERP, finance, HR, and payment platforms. Collaborate with cross-functional stakeholders to deliver production-ready solutions, and contribute through code and design reviews and mentorship.
The Dell Boomi Developer will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design, deploy, and operate secure, resilient Azure cloud platforms, owning the lifecycle from architecture and infrastructure automation through security, cost optimization, observability, and production operations. Partner with application development, security, and SRE teams to deliver scalable, reliable, compliant cloud-native solutions.
Design, train, and deploy reinforcement-learning systems for complex decision-making problems, including developing reward functions and using simulation environments to collect experience. Train and evaluate policies at scale, and bring RL solutions into production with a focus on stability, safety, and continuous improvement.
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Architect and build end-to-end IIoT solutions, including edge data acquisition, secure connectivity, and cloud ingestion. Collaborate with cross-functional teams to translate requirements into well-engineered systems while mentoring junior engineers.
Design, develop, and support Windchill customizations, workflows, integrations, reports, and data migrations while following PTC-recommended practices and optimizing performance. Collaborate with stakeholders, provide production and post-launch support, maintain technical documentation, and mentor junior engineers through reviews and knowledge sharing.
The Kafka Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will also manage cluster security, automation, observability, and mentor junior engineering staff.
Design, deploy, secure, and operate enterprise OpenShift container platforms for mission-critical workloads across on-premises and cloud environments. Manage the platform lifecycle, including cluster provisioning, workload onboarding, developer enablement, ongoing operations, and continuous improvement.
Provide technical leadership across teams, shape architecture, and lead complex engineering initiatives from design through execution. Partner with cross-functional stakeholders, review code and designs, mentor engineers, and help improve engineering standards and production reliability.
Develop and maintain Sitecore solutions across XP, XM, XM Cloud, and Content Hub, including C#/.NET services, headless front ends, integrations, content models, and migrations to composable architectures. Optimize performance and deployments, troubleshoot production issues, implement personalization and analytics, and collaborate with authors, designers, and product owners.
Lead the design and evolution of large-scale microservices ecosystems using container platforms and cloud-native technologies. Guide service decomposition and architecture initiatives across teams, while addressing distributed data management, resilience, observability, security, and long-term maintainability.
Design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, data domains, and business application portfolios. Partner with stakeholders and engineering leaders to translate strategic objectives into scalable, maintainable solutions, lead architecture reviews, and communicate technical trade-offs to senior leadership.
Design, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build reliable training and evaluation pipelines, collaborate with cross-functional stakeholders, and support engineering quality through reviews and mentorship.
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Own the technical operation of the PLM platform, including installation, configuration, performance tuning, upgrades, migrations, integrations, and high availability. Partner with functional, engineering, and manufacturing teams to maintain a reliable, performant, and secure PLM environment.
Design, integrate, profile, and optimize GPU workloads and custom kernels for AI training, inference, scientific computing, and high-throughput data processing. Collaborate with cross-functional teams, contribute to code and design reviews, and mentor junior engineers while delivering reliable production performance improvements.
Lead enterprise-wide architectural initiatives, set long-term technology strategy, and design scalable, resilient distributed systems. Guide technical decisions across teams and platforms while mentoring senior engineers and influencing engineering culture.
Optimize throughput, latency, and cost across training and inference workloads for large neural networks, spanning GPU kernels, memory management, compilers, and distributed systems. Measure and profile production AI workloads, collaborate across teams to deliver robust solutions, and contribute through code and design reviews and mentorship.
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