Build and scale highly available, distributed real-time microservices using Go to manage user profile and audience data. Design event-driven systems utilizing Kafka and distributed databases to support real-time targeting and bidding workflows.
Remote Kafka Jobs (197)
Tags = kafka
Embed with banking clients to translate product requirements into working configurations, transaction rules, and event-driven workflows. Act as a bridge between regulated banking requirements and live services while providing feedback to the core engineering team.
Design scalable and secure data and AI architectures using MongoDB Atlas to drive technical alignment between partners and customers. Create repeatable field assets and joint partner offerings to accelerate adoption across hyperscalers and ecosystem partners.
Staff Software Engineer, Backend / Agent Orchestration
Wand Synthesis AI Inc
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Full Time
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3 Days Ago
Wand Synthesis AI Inc
Architect and build a distributed backend for agent orchestration and workflow execution using Temporal and sandboxed environments. Own the distributed data pipelines and event-driven infrastructure to ensure platform resilience and scalability.
Design and implement large-scale data migrations and low-latency pipelines for iGaming clients using AWS and Lakehouse architectures. Ensure data integrity and regulatory compliance for high-volume betting and gaming data streams.
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Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical event-driven workloads. This includes managing cluster sizing, security, observability, and mentoring junior engineers to ensure platform reliability.
Design, build, and implement high-impact technological solutions using Angular and NestJS. Collaborate with Product, QA, and DevOps teams to ensure scalability, quality, and alignment with business needs.
Develop end-to-end ranking algorithms and AI technologies for search and recommendation across the Airbnb platform. Collaborate with cross-functional partners to productionize ML models and pipelines at scale for various business use cases.
Develop and enhance backend services and cloud infrastructure to power medical devices and application ecosystems. Support operations through monitoring, triaging incidents, and building internal automation tooling.
Define and champion the technology architecture strategy to align IT objectives with business goals. Lead the design of scalable, secure enterprise-wide solutions and mentor technical leaders to foster a culture of excellence.
Develop and implement scalable data pipelines and backend solutions to provide actionable insights for healthcare providers. Partner with cross-functional teams to execute technical roadmaps and mentor junior engineers through code reviews.
Design and implement scalable cloud and data architectures to support modernization and Generative AI initiatives. Partner with cross-functional teams to create target state architectures and operationalize architectural standards.
Design, build, and maintain scalable data pipelines and models using Databricks, dbt, and AWS services. Collaborate with cross-functional stakeholders to define data requirements and optimize system performance in an agile environment.
Senior Software Developer, Book of Record (Leverage)
Wealthsimple Technologies
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Full Time
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4 Days Ago
Wealthsimple Technologies
Design, build, and operate backend services for margin, lending, and buying power calculations within the Book of Record system. You will own the end-to-end technical scope and mentor other engineers to ensure high operational excellence and system correctness.
Design scalable and performant applications using MongoDB while guiding customers on architecture patterns and business value. Partner with sales teams to drive account success through technical discovery, demos, and proof of value.
Embed with banking clients to translate product requirements into working configurations, transaction rules, and event-driven workflows. Act as a bridge between regulated banking requirements and live services while providing feedback to the core engineering team.
The Tech Lead serves as the technical authority for the Messaging Experience Engineering squad, owning the architecture and delivery of messaging dispatch and conversational orchestration systems. They are responsible for governing external partners, ensuring code quality, and providing light people management for a team of 4-6 engineers.
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Act as the technical authority for the Onboarding Engineering squad, owning the architecture and quality of vehicle and phone onboarding flows. Manage a small team of engineers while governing external partners and maintaining KYC and anti-fraud integrations.
Act as the technical authority for the Payments Engineering squad, owning the architecture, quality standards, and delivery of payment provider integrations and APIs. Provide light people management for 3-5 engineers, focusing on their technical growth and day-to-day unblocking.
Lead the design and evolution of the platform architecture, focusing on secure, scalable, and cost-efficient microservices. Responsible for architectural governance, technical documentation, and mentoring engineers on best practices.
The role involves analyzing, designing, and developing software enhancements and new products for commercial applications. Responsibilities include writing technical specifications, coding, testing, and maintaining distributed real-time processing applications.
The Senior Staff Engineer will co-own, design, and scale a high-performance, data-intensive platform storage layer servicing network monitoring data for influential companies. Responsibilities include defining and leading the execution of a multi-year technical roadmap for KDE Storage services and collaborating across teams to drive platform-wide storage standards.
The role involves independently implementing, optimizing, and maintaining robust ETL/ELT pipelines using various technologies like Python, Airflow, Spark, and AWS services. Responsibilities also include engaging in collaborative design sessions, supporting testing strategies, and guiding the team on CI/CD practices.
The role involves building and extending batch pipelines using dbt and Dagster, while also advancing real-time streaming capabilities with Kafka and FlinkSQL to process data and deliver low-latency datasets. Responsibilities also include designing data platform standards, improving reliability and observability, and owning platform operations like performance tuning and cost optimization.
The engineer will design and implement end-to-end features within their squad, participating in architectural discussions and proposing improvements across services and APIs. They will also focus on working with event-driven systems, prioritizing performance, reliability, and scalability.
This role involves designing and implementing end-to-end features within the squad, participating in architectural discussions, and focusing on performance, reliability, and scalability within event-driven systems. You will also take ownership of core components, lead through code reviews, and drive continuous improvement in building high-performing services at scale.
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The engineer will be responsible for designing, building, and maintaining robust security products and infrastructure, including developing real-time security detection engines using Apache Flink and Kafka. They will also architect and implement security solutions running on Kubernetes at hyperscale and lead technical designs for complex platform features.
The role involves developing and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources at scale for a media data warehouse. Responsibilities also include utilizing GCP services like BigQuery, Cloud Run, and Scheduler for data processing and orchestration.
The role involves developing and deploying robust ETL/ELT data pipelines using Python and SQL to automate the integration of various 3rd party data sources at scale into a media data warehouse. Responsibilities also include utilizing GCP services like BigQuery, performing data modeling with dbt, and managing code version control with Git.
The role involves developing and deploying robust ETL/ELT data pipelines using Python and SQL to automate the integration of third-party data sources into a media data warehouse on GCP. Responsibilities include utilizing GCP services like BigQuery, performing data transformations with dbt, and managing code versioning with Git.
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