Senior Staff Software Engineer (Remote in Boston; Chicago; SF Bay Area; Portland, ME)
United States - Remote
Full Time Senior-level / Expert USD 180K - 230K
IntelliPro Group Inc.
Senior Staff Software Engineer – Risk Platform (Remote in Boston; Chicago; SF Bay Area; Portland, ME)
Locations: Bay Area, Chicago, Boston, Portland (ME), Seattle
Full-Time | Direct Hire via Staffing Partner
Base Salary: $180K–$230K + Bonus + RSU + Comprehensive Benefits
We are a talent partner working with a leading global payments and technology company that’s transforming how businesses manage risk and compliance. Our client is building a modern, AI-enhanced Risk Platform and is seeking a Senior Staff Engineer to help lead this transformation.
🚩 Location Requirement:
This role is remote, but candidates must reside in one of our designated virtual hub locations: Boston, MA; Chicago, IL; Portland, ME; Seattle, WA; or the San Francisco Bay Area, CA. While there is no requirement to be in an office regularly, proximity to one of these hubs is necessary for occasional in-person collaboration.
What You’ll Do
Architect and scale the company’s next-generation Risk Platform in collaboration with senior engineering and product leaders.
Lead technical design, development, and production operations of critical risk services and infrastructure.
Partner cross-functionally with Data, AI, Compliance, and Risk Product teams to build innovative and secure solutions.
Mentor engineers, foster a culture of excellence, and help scale a high-performing risk tech org.
Ensure platform observability, compliance, security, and operational readiness.
Drive long-term technology strategy and platform reliability across cloud-native systems.
Qualifications
10+ years of software engineering experience with strong architecture and systems design expertise.
Experience with ML system infrastructure—such as feature engineering, model training pipelines, and serving traditional models (e.g., random forest, classification models). Deep learning expertise is not required.
Familiarity with model monitoring, performance evaluation, and integrating ML into production systems.
Proficiency in cloud environments (AWS or Azure), Kubernetes, Lambda, and microservices.
Ability to lead and mentor teams and work cross-functionally in fast-paced, regulated environments.
Experience in fintech, payments, or highly regulated domains is a plus.
Compensation & Benefits
Base Salary: $180,000 – $230,000
Bonus + comprehensive benefits including:
Medical, dental, and vision insurance
401(k) with employer match
Flexible PTO and holidays
HSA/FSA, tuition reimbursement, and more
Interested in building the future of risk technology? Apply now to learn more about this exciting opportunity through our team.
Tags: Architecture AWS Azure Classification Deep Learning Engineering Feature engineering FinTech Kubernetes Lambda Machine Learning Microservices Model training Pipelines Security
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care
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