Staff Engineer - Customer Onboarding Job at Adyen (Chicago)

Staff Software Engineer, Backend - Onboarding

Be part of the Onboarding team which plays a pivotal role in Airwallex's mission...

Location

Singapore , Singapore

Salary:

40000.00 - 80000.00 CNY / Month

Airwallex

Expiration Date

Until further notice

Requirements

Experienced and technically proficient in software development with robust expertise in Java/Kotlin
Empathetic and insightful with deep empathy for customer needs
Data-driven and analytical with ability to interpret data
Collaborative and knowledge-sharing, thrives in team settings
Adaptable and continuously learning, eager to adopt new skills
Proactive and ownership-driven, self-motivated
Efficient and prioritization-savvy, excels at prioritizing tasks

Job Responsibility

Design and build scalable systems, architect, develop, and maintain microservices in Java/Kotlin
Enable data-driven decisions, collaborate with data scientists and product managers to design data pipelines
Collaborate and innovate with cross-functional teams
Define measurable SLO for service performance
Promote security & compliance, integrate secure coding practices

What we offer

Offers Equity
Offers Bonus
Medical, dental, and vision insurance
401(k) plan
Short-term and long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays

Fulltime

Staff Engineer (Android)

The Staff Engineer (Android) is the senior technical authority for Android engin...

Location

United Kingdom

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Deep expert-level knowledge of Android development, Kotlin, Android SDK, and Jetpack libraries
Proven experience designing and evolving large-scale, customer-facing mobile applications
Strong architectural expertise (Clean Architecture, modularisation, MVVM/MVI)
Advanced understanding of mobile performance, security, and reliability
Ability to influence senior stakeholders and make strategic technical decisions
Comfortable operating in ambiguity with minimal direction

Job Responsibility

Define and own the Android platform architecture aligned to Admiral’s long-term business and technology strategy
Lead the design of scalable, modular, secure Android solutions supporting customer acquisition, onboarding, policy management, and payments
Act as the final technical authority for Android-related architectural decisions
Identify and manage technical risk, debt, and dependencies across teams
Design and implement highly complex Android features with significant customer and business impact
Solve ambiguous, systemic problems (performance, reliability, scalability, platform evolution)
Lead investigations into major incidents, root causes, and long-term fixes
Balance short-term delivery with long-term platform health
Define Android engineering standards, best practices, and development guidelines
Ensure strong adoption of testing, CI/CD, observability, and performance monitoring

What we offer

up to £3,600 of free shares each year after one year of service
33 days holiday (including bank holidays) when joining, increasing up to a maximum of 38 days (including bank holidays)
option to buy or sell up to an additional five days of annual leave
Disability Confident Leader scheme
work-life balance support
flexible working
24-Hour Ecare
Cycle to Work Scheme
Simply Health
Private Health Cover

Fulltime

Staff Engineer - Mobile Platform

Role : Staff Engineer - Mobile Platform ( This is a Senior leadership IC role). ...

Location

United States , Dallas, TX or Scottsdale, Arizona

Salary:

150385.00 - 189615.38 USD / Year

Blue Yonder

Expiration Date

Until further notice

Requirements

Min of 10+ years designing, building, and maintaining large-scale mobile applications using React Native, Swift, and Kotlin
Proven track record of delivering visually polished and resilient apps with strong long-term maintainability
Expertise designing scalable and flexible mobile architectures for iOS and Android using modern tools and best practices
Experience evaluating and adopting cross-platform technologies to improve performance, maintainability, and developer experience
Skilled in performance profiling, memory management, startup optimization, and overall app responsiveness at scale
Senior or staff-level individual contributor experience providing architectural direction, conducting deep technical reviews, and mentoring engineers across distributed teams
Strong understanding of backend systems and microservices, ideally with Node.js and TypeScript
Skilled in REST API design, integration with cloud services, and working with NoSQL databases such as MongoDB
Hands-on experience implementing authentication and identity solutions including AAD, OIDC, and evolving IAM platforms such as Gravitee
Experience establishing engineering best practices, coding standards, architectural guardrails, and platform-wide patterns

Job Responsibility

Architect, implement, and evolve a high-performance cross-platform mobile application using React Native to deliver seamless device-agnostic experiences
Provide technical leadership across engineering teams, making key architectural decisions, performing deep technical reviews, and guiding engineers without direct people management responsibilities
Understand, shape, and champion Blue Yonder’s Mobile Studio platform, ensuring consistent implementation patterns, guiding teams as they onboard, and driving long-term platform scalability and developer experience
Define and maintain scalable mobile architectures that support multi-tenant enterprise-grade supply chain workflows
Drive cross-platform strategy and technology patterns that improve performance, maintainability, and long-term sustainability
Integrate and optimize Azure cloud services to power real-time shipment tracking, inventory visibility, predictive analytics, and edge-aware workflows
Lead identity and security implementation, including AAD, OIDC, and evolving authentication standards such as Gravitee
Champion performance, security, and reliability by profiling and optimizing startup time, memory usage, rendering performance, and network throughput
Work closely with product, UX and UI, backend, cloud, and platform teams to align technical execution with customer and business value
Establish engineering best practices, architectural guardrails, and CI and CD patterns for mobile delivery at scale

What we offer

Comprehensive Medical, Dental and Vision
401K with Matching
Flexible Time Off
Corporate Fitness Program
Legal Plans
Accident and Hospital Indemnity
Pet Insurance

Fulltime

Staff Software Engineer – Billing & Subscription Platform

Join GM's Digital Products Engineering organization and help define the next gen...

Location

United States , Austin; Mountain View; Warren

Salary:

189300.00 - 290700.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
10+ years of professional software engineering experience, with at least 3+ years in roles leading design and delivery of complex backend or platform systems
Significant experience with full-stack or backend development for enterprise integrations, ideally including Zuora or similar billing/subscription platforms
Strong experience with batch processing and financial systems, including reliability, reconciliation, and data integrity considerations
Hands-on Azure experience, including designing and migrating services to cloud-native architectures (containers, managed services, security, networking)
Proficiency in several of the following: Java, Spring Boot, Node.js, JavaScript/TypeScript, React/Angular
Experience building microservices, event-driven systems with Kafka, and working with both relational and NoSQL databases
Solid understanding of automated testing and quality practices, including frameworks such as JUnit, Jest, Cypress, or equivalents
Proven ability to lead technical direction, influence cross-team decisions, and deliver results in a complex, highly integrated environment

Job Responsibility

Lead architecture and technical direction for core billing domains (subscriptions, invoicing, payments, taxation, adjustments) and Zuora integration, setting patterns and reference implementations used by multiple teams
Drive design and development of complex billing platform features and integrations, ensuring they are resilient, secure, and compliant across markets
Design and evolve high-volume batch processing systems for financial transactions, with clear SLIs/SLOs and strong observability (logs, metrics, traces)
Shape end-to-end onboarding and account lifecycle experiences for OnStar and other connected services, partnering with product and UX to deliver seamless customer journeys
Lead migration of services to Azure using cloud-native best practices, including containerization, infrastructure-as-code, and secure-by-default configurations
Build and review microservices and event-driven systems leveraging Kafka and modern service design, ensuring consistency, reuse, and high reliability across the platform
Collaborate across organizations (product, business, finance, tax, data, and other engineering teams) to define scalable solutions and align technical decisions with business priorities
Mentor and coach engineers at multiple levels, providing guidance on design, coding, testing, observability, and operational excellence
help grow future technical leaders
Champion engineering best practices (code quality, automated testing, CI/CD, security reviews) and lead design/architecture reviews for high-impact initiatives

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer – Secondary Driving System

At General Motors, our Embodied AI teams are redefining what’s possible in drive...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
or equivalent practical experience
8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction
Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases
experience using Python for tooling, data analysis, and ML experimentation
Demonstrated experience leading technical design and delivery of perception, tracking, or prediction systems in real‑time environments, including: Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/freespace fusion, early/late fusion architectures)
Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM, SLAM/visual odometry)
Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management)
Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models)
Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including: Testing strategies (simulation, HIL, scenario‑based testing, regression suites)

Job Responsibility

Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases
Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions
Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale
Collaborate closely with experts in perception, tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products
Define technical vision & architecture
Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets
Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context
Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management)
Lead high‑impact projects
Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Staff Engineer - Customer Onboarding

Job Description

Job Responsibility

Requirements

What we offer

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