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StubHub · Posted Nov 10, 2026
New York, New York, United States Hybrid Full-time · Senior $200K–$250K per year
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Architect and maintain scalable, low-latency pricing systems for StubHub’s buyer-facing ticket platform.
Salary: $200,000 - $250,000 per year.
Architect scalable, low-latency pricing systems that support real-time decision making and experimentation Collaborate with Data Science to deploy, operate, and maintain pricing models and experimentation frameworks in production Establish and maintain service level objectives (SLOs) to ensure reliability, performance, and operational excellence of pricing services Implement data instrumentation processes to ensure accuracy, traceability, and visibility across pricing workflows Assess and integrate new technologies that improve experimentation capabilities, operational efficiency, and system performance Bachelor’s degree in Computer Science, Computer Engineering, or related field Master’s degree in Computer Science, Computer Engineering, or related field equity 401(k) paid time off paid parental leave comprehensive health benefits Varda Space Industries · Posted Nov 10, 2026
El Segundo, California, United States On-site Full-time · Senior $169K–$216K per year 5+ yearsResponsible for Varda's critical ground segment software and platform enabling spacecraft operations.
Salary range: Senior Software: $169,067 - $216,031/ per year.
Own Ground Segment Services Mission Control Interfaces Simulation and Test Automation Build the Mission Platform Deployments Across Environments Bachelor's degree in computer science, math, physics, engineering or equivalent technical experience Nice to have: C++ Nice to have: Ansible Nice to have: NiceGUI Nice to have: DAQ Welcome to the Jungle · Posted Nov 10, 2026
Paris, Île-de-France, France Manager €75K–€85K per yearLead the design, deployment, and operation of cloud and data platform infrastructure for Artefact’s AI clients.
Rémunération : 75 000€ à 85 000€ brut annuel (fixe) + jusqu’à 8 000€ de variable selon expérience et séniorité
Deploy cloud infrastructure as code and lead cloud migrations Build and operate data platforms including warehouses and lakehouses Create CI/CD pipelines and MLOps/LLMOps tooling Develop agent harnesses and runtimes Serve models while managing cost and latency Nice to have: Databricks Nice to have: BigQuery Nice to have: Snowflake Nice to have: MLOps Nice to have: LLMOps Penn Interactive · Posted Nov 10, 2026
Remote, Canada Remote Full-time · Senior CA$145K–CA$193K per year 5+ yearsDesign, build, and operate backend services and real‑time APIs for theScore and PENN Interactive platforms, leveraging AI coding agents and ensuring high performance and scalability.
Design, scale, and tune APIs and the real‑time delivery behind them Treat the API schema as a versioned contract with released mobile apps Build and operate services that stay fast and correct under high throughput, bursty load Find bottlenecks and risks in production and drive the changes that make the platform scale Set up and refine monitoring, alerting, and tracing in Datadog for the systems you own Nice to have: native mobile Nice to have: GraphQL Nice to have: Elixir Nice to have: Absinthe Nice to have: PostgreSQL LinkedIn Job Wrapping · Posted Nov 10, 2026
Paris, Île-de-France, France On-site Full-time · Manager €75K–€85K per year 5+ yearsLead AI Engineer responsible for building and maintaining LLM applications and agents, ensuring quality, cost, and latency in production.
Rémunération : 75 000€ à 85 000€ brut annuel (fixe) selon expérience et séniorité + jusqu’à 8 000€ de variable selon expérience et séniorité
Build LLM applications and agents Design agent knowledge exploitation Create evaluation pipelines Monitor production quality Select models based on quality, cost, latency Bachelor's or higher in Computer Science, Machine Learning, Statistics, or related field Nice to have: Multimodal inputs Nice to have: MCP framework Nice to have: Agent protocols Nice to have: Observability tools LinkedIn Job Wrapping · Posted Nov 10, 2026
Paris, Île-de-France, France Full-time · Senior €60K–€70K per yearSenior AI Engineer responsible for building, evaluating, and maintaining LLM applications and agents in production.
60 000€ à 70 000€ brut annuel (fixe) selon expérience et séniorité + jusqu’à 6 000€ de variable selon expérience et séniorité
Construire des applications et des agents LLM Concevoir la façon dont les agents exploitent les connaissances Construire des jeux et des pipelines d’évaluation Suivre la qualité des réponses en production et corriger ce qui se dégrade Choisir les modèles selon la qualité, le coût et la latence Nice to have: Fine-tuning or distillation of language models Nice to have: Machine learning or statistics training Nice to have: MCP framework Nice to have: Multimodal inputs Nice to have: LLM observability tools Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Design and develop ABAP solutions optimized for SAP HANA using pushdown principles Build efficient data models and access patterns using CDS views, associations, annotations, and authorization concepts Implement performance critical logic using AMDP / SQLScript Develop modular, testable, and maintainable ABAP code aligned to clean architecture practices Build services and APIs using modern paradigms (OData/service exposure patterns) 15 years full time education Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
Jaipur, Rajasthan, India 3+ yearsDevelop custom SAP HANA optimized ABAP solutions, integrate AI capabilities, and deliver high-performance, cloud-ready SAP applications.
Design and develop ABAP solutions optimized for SAP HANA Build efficient data models and access patterns using CDS views Implement performance critical logic using AMDP / SQLScript Develop modular, testable ABAP code aligned to clean architecture Build services and APIs using OData/service exposure patterns 15 years full time education Nice to have: OData/service design patterns Nice to have: API lifecycle management Nice to have: Contract-first development Nice to have: Performance benchmarking Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
Develop custom SAP HANA optimized ABAP solutions with AI integration.
Design and develop ABAP solutions optimized for SAP HANA Build efficient data models and access patterns using CDS views Implement performance critical logic using AMDP/SQLScript Develop modular, testable ABAP code aligned to clean architecture Build AI enabled SAP experiences integrating ABAP services with LLM capabilities 15 years full time education Nice to have: Experience integrating SAP backends with cloud runtimes Nice to have: Enterprise integration platforms Nice to have: Performance benchmarking Nice to have: Load testing Accenture Infrastructure and Capital Projects, LLC · Posted Nov 10, 2026
Hyderabad, Telangana, India 5+ yearsDevelop custom SAP HANA optimized ABAP solutions with AI integration
Design and develop ABAP solutions optimized for SAP HANA Build efficient data models and access patterns using CDS views Implement performance critical logic using AMDP/SQLScript Develop modular, testable ABAP code aligned to clean architecture Build services and APIs using OData/service exposure patterns 15 years full time education Nice to have: Experience integrating SAP backends with cloud runtimes Nice to have: Familiarity with performance benchmarking Nice to have: Load testing Nice to have: Knowledge of SAP security/authorizations and compliance requirements Stock options Long-term cash awards
competitive compensation package fun, relaxed work environment education and conference reimbursements opportunities for career progression and mentoring