Architecte GTM chez Workleap, éditeur de logiciels de travail et de migration Microsoft 365. Conception d’agents IA pour sécuriser les renouvellements et développer les ventes croisées ShareGate.
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Senior Staff Software Engineer
Posted 3 hours ago
About the role
- Senior Staff Software Engineer shaping AI, risk, fraud, and operational systems at Priority Commerce. Defining scalable distributed-systems architecture across engineering domains.
Responsibilities
- Lead the design and evolution of complex systems spanning multiple domains across a workstream
- Define and drive architectural patterns, service boundaries, and system interactions
- Align technical design across teams and domains to reduce fragmentation
- Influence implementation decisions and long-term platform direction without direct authority
- Evaluate trade-offs across performance, reliability, scalability, cost, and development velocity
- Establish testing strategies, validation patterns, quality standards, CI/CD quality gates, and deployment safety mechanisms
- Drive consistency in development workflows and engineering practices across teams
- Establish reliability and observability practices using metrics, logs, traces, alerting, and SLIs/SLOs
- Lead cross-domain incident investigations and implement systemic improvements
- Identify and resolve systemic reliability risks, architectural gaps, and scaling challenges
- Define and influence domain-level and workstream-level KPIs
- Partner with product managers and product designers to align architecture with product strategy and business outcomes
- Lead cross-team initiatives improving system cohesion, engineering practices, and development efficiency
- Leverage AI-enabled engineering practices to improve productivity, testing, and operational efficiency
- Guide responsible AI adoption, including monitoring performance, reliability, and cost
- Mentor Staff and Senior engineers and develop domain-level technical leaders
- Act as a trusted technical leader across teams
- Shape architecture for customer-facing AI innovation, AI-driven risk and fraud, and AI-enabled operational efficiency
Requirements
- 10–15+ years of software engineering experience, with demonstrated impact at Staff or equivalent level
- Strong proficiency in at least one programming language
- Strong understanding of core computer science fundamentals
- Proven experience leading architecture across multiple teams or domains
- Experience aligning systems and architectures across multiple services or domains
- Demonstrated ability to design systems that scale across teams and domains with strong reliability and performance
- Deep experience building and operating scalable, reliable, and resilient distributed systems
- Experience designing and building APIs and services with clear, well-defined contracts
- Solid understanding of web application architecture, RESTful APIs, backend services, and service-oriented design principles
- Strong understanding of modern software development practices, including test-driven development (TDD)
- Experience with version control systems such as Git and Agile development practices
- Deep understanding of data modeling and data access patterns, scalable relational schemas, and query performance optimization
- Strong experience debugging complex distributed systems using logs, metrics, and traces
- Experience building and operating systems with strong observability and reliability practices
- Strong ability to influence technical direction, standards, and engineering practices across teams
- Proven ability to mentor engineers and develop technical leadership
- Ability to identify systemic technical risks, evaluate trade-offs, and guide sound engineering decisions
- Experience applying AI-assisted development tools to improve productivity, testing, and system reliability
- Experience designing or integrating AI-enabled systems or workflows
- Familiarity with AI-native development patterns, structured inputs/outputs, and automation-friendly interfaces
- Deep expertise in distributed systems and cloud architecture
- Preferred: experience in fintech, payments, lending, or other regulated financial systems
- Preferred: experience operating across multiple domains or large-scale product ecosystems
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience (preferred)
Benefits
- Bonus programs
- Financial wellness resources and employee discount programs
- Medical, dental, and vision coverage
- Mental health support for employees and dependents through Lyra Health
- Family planning and women’s health benefits through Carrot
- Gym membership reimbursement and virtual wellness programs (including yoga)
- 3 weeks PTO to start, with unlimited PTO after year one
- Education expense reimbursement
- Leadership development programs
- Certified Payments Professional (CPP) certification support
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