As a Staff Software Engineer on the QXO eCommerce team, you will lead the design, development, and operation of foundational commerce services. You will own complex systems from ideation through launch and drive long-term architectural evolution. You’ll collaborate across engineering, product, and design teams to build secure, reliable, and extensible services and user interfaces that serve millions of users across web and mobile platforms.
Compensation
Base pay range: $160,000 - $288,000
Annual performance bonus
Long term incentive (equity/stock)
Salary Range:
USD $220,000.00 - USD $315,000.00 /Yr.
Responsibilities
Design, build, and operate eCommerce services
Design and implement scalable, low-latency systems that meet performance and security requirements
Build intuitive and performant user interfaces
Contribute to shared design system and front-end architecture
Collaborate with cross-functional teams to develop end-to-end solutions
Requirements
Bachelor’s degree in computer science, engineering, or equivalent
Support the development and deployment life cycle of our software platform, built on a microservices architecture, maintaining CI/CD pipelines and managing containerized environments.
Responsibilities
Maintain and improve CI/CD pipelines (TeamCity)
Support containerized service development and deployment with Docker/Docker Compose
Build installation packages (.deb or similar)
Administer Linux systems (Debian/Ubuntu)
Manage the release, update and support of software installed at customer sites (on-premise)
Senior technical leader on the Audience Insights team, building systems that power realtime audience augmentation, identity-aware targeting, contextual/content analysis, and large-scale batch data processing across the AdsWizz advertising platform.
Responsibilities
Design and build high-performance audience intelligence systems that support realtime ad targeting, augmentation, and activation across the AdsWizz platform.
Evolve low-latency services, APIs, protocols, and data access layers backed by high-throughput stores such as Aerospike.
Lead architecture for batch and streaming data workflows using technologies such as Kafka/MSK, SQS, S3, Parquet, PySpark, Go, Rust, and C++.
Translate privacy, consent, and governance requirements into robust engineering designs for safe handling of listener identity and audience data.
Partner with product, data, operations, and infrastructure teams to align technical architecture with business goals and production reliability.
Requirements
Bachelor’s Degree in Computer Science/Mathematics or a similar field
Join a highly performing-team of engineers who build, own, and maintain backend services and products, designing, collaborating, and executing building the AdsWizz products at scale while automating and providing insights into the data onboarding with the SXM Media and AdsWizz services.
Responsibilities
Provide technical leadership for the requirements, analysis and design and implementation of the most used Audio Streaming Server in the world - AIS, written in C/C++
Provide technical leadership for the requirements, analysis, design and implementation of the AIS Managed Service Platform, built on top of AWS technologies and Go programming language
Design and build high-performance, stable, scalable AdsWizz systems that will be deployed in an enterprise setting
Lead high-level architecture discussions and planning sessions
Work with various teams of engineers building software in a collaborative development process
Requirements
Bachelor’s Degree in Computer Science, Mathematics, Engineering, or a related field
A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
Design, develop, and maintain software solutions that provide inner loop software development tools for over 50,000 developers across the firm, impacting productivity and compliance.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Design, build, test, and maintain reliable, well-documented software
Develop secure, high-quality production code, and review and debug code written by others
Participate in code reviews to uphold code quality and share knowledge across the team
Identify and resolve performance bottlenecks, bugs, and production issues
Contribute to architectural decisions and technical roadmap discussions
Requirements
Formal training or certification on software engineering concepts
Senior engineer to own the voice path properly: turn-taking, interruptions, latency, which provider we use for which language and why, monitoring, and what happens when a provider has a bad day. Build reusable voice capabilities that more than one product team can adopt.
Responsibilities
Design, build and run low-latency voice and real-time services
Put streaming speech-to-text, language-model and text-to-speech providers behind a clean, configurable architecture
Make turn detection, interruption handling, latency, conversation state and provider failover work well
Build the framework that tells us which provider is better for a given language
Turn recordings and transcripts from native speakers into regression tests
The Cloud Engineer will help maximize the benefit FactSet receives from its usage of public cloud, contributing to the growth of the business by partnering with Strategic Business Units and Engineering teams to promote modernization and realize FactSet’s Cloud Architecture strategy.
Compensation
FactSet competitive benefits global package applied to Brazil (FactSet total rewards).
Responsibilities
Supports the planning and implementation of enterprise Cloud Programs
Make meaningful contributions to FactSets cloud platform and capabilities.
Fosters a culture of innovation and encourages colleagues to think differently in finding solutions.
Focuses on providing efficient business value; ensuring programs are delivered as efficiently as possible.
Work with other Platform Infrastructure Engineering teams to help drive adoption of cloud services.
Requirements
Bachelor’s degree in information/computer science, engineering, or related discipline with IT focus
Lead Virtuozzo's powerhouse engineering team crafting Virtuozzo Infrastructure System. Guide the development of distributed storage, virtualisation, cluster orchestration, high availability, VM management, monitoring, and seamless updates through UI and REST APIs. As a player/coach, you'll mentor top talent, drive technical excellence, and deliver features that scale to millions—perfect if you love leading complex projects while staying close to the code.
Compensation
Share Options – shares in our success with share options
Responsibilities
Lead a team of 5-10 senior engineers: set vision, prioritise roadmaps, and foster a high-performance culture.
Architect major features for cluster lifecycle, HA systems, and performance optimisation; contribute hands-on code as needed.
Champion code quality by overseeing automated testing strategies, CI/CD pipelines, and technical debt reduction.
Collaborate with product, QA, and support teams to resolve production issues and evolve the platform based on customer feedback.
Mentor engineers on best practices in Linux systems, networking, and distributed design; conduct code reviews and grow talent.
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