As a Senior Software Engineer, you'll be a hands-on contributor to the APIs, protocols, and agent interfaces that power our agentic advertising platform. You'll help build systems where AI agents are first-class participants, with their own authentication, capabilities, and communication standards.
Locations (2)
United States
Canada
Compensation
The salary range for this role is $160k-$210k USD, $160k-$215k CAD.
Responsibilities
Design and build scalable APIs for both human and AI agent clients.
Develop agent interfaces, MCP servers, and A2A communication layers.
Build and operate high-throughput systems for real-time advertising transactions.
Explore, evaluate, and integrate emerging agent frameworks and protocols.
Contribute to architectural decisions around authentication, protocols, and transaction flows.
Contribute across the full technology stack, developing new features, improving existing architecture, and strengthening APIs and integrations for delivery logistics and real-time orchestration.
Compensation
Annual base salary of $60,000–$80,000 USD, depending on experience, skills, and engineering level.
Responsibilities
Build, refine, and maintain agentic development workflows, contributing to the team's use of AI throughout the software lifecycle
Design, develop, test, and deliver scalable, high-quality full-stack software across new and existing systems
Drive software quality through thorough verification, automated testing, and both AI-assisted and human code reviews
Review AI-generated code and architectural recommendations critically, ensuring solutions meet engineering standards before they are merged or deployed
Take ownership of features from research and planning through design, implementation, validation, deployment, and production monitoring
Requirements
Bachelor's degree in computer science or a related field
Nice to have: Software Development Engineer in Test (SDET)
Contribute across the full technology stack, developing new features, improving existing architecture, and strengthening APIs and integrations for delivery logistics and real-time orchestration.
Compensation
Annual base salary of $60,000–$80,000 USD, depending on experience, skills, and engineering level.
Responsibilities
Build, refine, and maintain agentic development workflows, contributing to the team's use of AI throughout the software lifecycle
Design, develop, test, and deliver scalable, high-quality full-stack software across new and existing systems
Drive software quality through thorough verification, automated testing, and both AI-assisted and human code reviews
Review AI-generated code and architectural recommendations critically
Take ownership of features from research and planning through design, implementation, validation, deployment, and production monitoring
Requirements
Bachelor's degree in computer science or a related field
Nice to have: Software Development Engineer in Test (SDET)
AXS is seeking a Lead Software Engineer – Full Stack to lead the design and development of our core ticketing platforms. The role combines hands-on development with technical leadership, architecture, and team guidance in a complex enterprise environment.
Compensation
Pay Scale: $165,000 - $185,000
Bonus: This position is eligible for a bonus under the current bonus plan requirements.
Responsibilities
Design, build, and maintain front-end and back-end features for web applications
Lead full-stack architecture and design reviews; author or review technical design as needed
Set standards for code quality, security, performance, accessibility, and scalability on UI and services
Build APIs, business logic, and integrations that support strong user experiences
Support agile delivery: planning, estimation, backlog breakdown, risk and blocker management
Requirements
Bachelor’s degree in Computer Science, Engineering, or related technical field
Lead the strategy, roadmap, and delivery of the orchestration platform that powers remittance and future products, defining platform primitives, contracts, and reliability metrics.
Locations (2)
New York, New York, United States
Miami, Florida, United States
Compensation
The starting base salary for this role typically ranges between $123,000 and $158,000 USD for Miami, and between $150,000 and $192,000 for New York and the Bay Area, tailored to experience and skill set.
Responsibilities
Define platform strategy and boundaries
Own sequencing and core changes for product onboarding
Define contracts and tooling for self-serve
Run engineering roadmap and balance reliability vs investment
Represent platform to operations, compliance, and finance
At Wells Fargo, a Principal Architect advises senior leaders on architecture strategy, target-state direction, and technology transformation efforts, leading the resolution of highly complex, enterprise-wide challenges that span multiple domains and organizations.
Locations (3)
San Francisco, California, United States
Irving, Texas, United States
Charlotte, North Carolina, United States
Compensation
$159,000.00 - $305,000.00
Responsibilities
Advise senior technology leaders on enterprise data architecture strategy, target-state direction, and transformation priorities across Technology and Cybersecurity domains.
Define current-state, target-state, and transition architectures for complex enterprise data environments and modernization initiatives.
Senior Software Engineer - AV Data & Analysis Tools
Senior engineer responsible for building and maintaining tools that analyze and debug autonomous vehicle data, leading multi‑project workstreams and driving adoption of new features.
Compensation
The salary range for this role: is $144,700 to $261,300.
Responsibilities
Build and maintain data lifecycle tools for AV data
Design and implement search and retrieval systems using SQL and vector databases
Develop high‑performance replay tools for sensor data
Lead technical design and code reviews
Mentor engineers and foster AI‑assisted development
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks to build scalable, secure and high-performance APIs and services that power data-driven solutions for mission-critical systems using AI and electronic health records for life insurance coverage.
Compensation
The base salary range anticipated for this position is $147,000 - $170,000, plus an opportunity for an annual company bonus based upon a percentage of eligible pay.
Responsibilities
Help shape API architecture for real-time decisioning using complex medical data
Collaborate with data scientists, underwriters, customer success partners and product managers to develop and deliver the product roadmap
Optimize backend performance and scalability for large volumes of structured and unstructured health data
Adapt the product as the use of machine learning models and large language models evolves
Build maintainable software, write unit and integration tests, and implement automated testing
Requirements
Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics or a related discipline
Nice to have: Terraform
Nice to have: Working with new and complex data sources
Lead research, outreach, and deal work to identify and launch new verticals and product lines for Coinflow, creating playbooks for the sales team and driving company strategy.
Compensation
The base salary range for this role is $140,000 - $190,000 USD. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
Responsibilities
Research and map new merchant categories and geographies
Build target lists and messaging
Run license, outbound, and partnership motions
Partner with Head of Product on strategy, roadmap, and distribution for new product lines
Engage in early merchant, platform, and referral partner conversations
Establish enterprise architecture patterns for data sourcing, integration, storage, processing, distribution, and consumption.
Develop strategies to reduce unnecessary data duplication and enable scalable, governed access to shared enterprise information.
Define architecture patterns for data products, semantic layers, APIs, event-driven and real-time data distribution, batch processing, data virtualization, and federated access.
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