Designs and delivers software solutions that accelerate research workflows and enhance data analysis, ensuring scalability, maintainability, and reliability of systems.
Compensation
The salary range for this position is:
$125,300.00 - $208,800.00
Responsibilities
Designs and delivers software solutions that accelerate research workflows and enhance data analysis.
Ensures the scalability, maintainability, and reliability of the systems developed.
Contributes to the technical vision within a project scope while aligning with the broader engineering strategy.
Translates requirements into high-quality, performant code.
Collaborates with peers, product managers, and scientists to ensure timely delivery.
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Design, implement, and optimize control systems for phased array antennas, including algorithms for calibration, beamforming, data processing, and system integration.
Responsibilities
Design and implement control algorithms for antenna calibration and localization
Develop beamforming and antenna pointing algorithms
Process high-rate data streams with digital signal processing
Integrate telecommunications systems and multi-antenna orchestration
Implement fault detection, isolation, and recovery (FDIR) systems
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics, or related discipline
Nice to have: Strong problem-solving abilities
Nice to have: Excellent communication and collaboration skills
Nice to have: Fast-paced dynamic environment experience
Looking for a Senior QA Automation combining strong test automation expertise with a passion for AI-powered engineering, focusing on frontend automation while contributing to backend and integration testing.
Responsibilities
Design, develop, and maintain automated test frameworks and suites, primarily for frontend applications, using Java and Selenium with Cucumber.
Develop and execute UI, API, integration, regression, and end-to-end tests.
Leverage AI coding assistants, CLI-based agents, and LLMs to accelerate test development, debugging, and maintenance.
Utilize MCP (Model Context Protocol) and prompt engineering to enhance automation workflows and engineering productivity.
Analyze test results, investigate failures, report defects, and collaborate with developers on their resolution.
Lead a technical team to build and maintain data platform solutions for fraud-related data assets, driving cloud-native engineering practices and DevSecOps.
Compensation
Great compensation package and discretionary bonus plan
Responsibilities
Lead and support an agile technical team delivering data platform solutions
Help guide the delivery of AWS-based data pipelines, data lake components and producer-side data platform capability
Support the handover, ownership, maintenance and enhancement of pipelines and cloud components
Lead the team in building, testing and maintaining high-quality data pipelines
Ensure metadata is prepared and published accurately
Lead the design, build, test and maintain AWS-based data pipelines for fraud-related data assets, driving technical leadership and DevSecOps practices within Experian's Data Analytics Platform.
Compensation
Great compensation package and discretionary bonus plan
Responsibilities
Design, build, test and maintain AWS-based data pipelines for fraud-related data assets.
Support ingestion and transformation of data from source platforms such as Snowflake and internal product/data systems.
Develop new data flows, integrations and automation as additional data assets are onboarded.
Work with platform, security and data stakeholders to ensure solutions follow agreed security, governance and compliance patterns.
Contribute to technical design discussions, review proposals, evaluate options, provide estimates and recommend practical solutions.
Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests
Compensation
Gross pay annually: $192,600 - $317,800 USD
Responsibilities
Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests
Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure
Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput
Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana
Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment
Support system design, analysis, integration, and documentation across software, hardware, and architectural development efforts, ensuring quality, security, and compliance throughout the system lifecycle.
Responsibilities
Support system design, analysis, integration, and documentation across software, hardware, and architectural development efforts
Translate requirements into functional solutions
Assess technical and operational impacts
Ensure quality, security, and compliance throughout the system lifecycle
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