Senior Staff Software Engineer (R14082)

Provide senior technical leadership across multiple engineering teams, systems, and business domains.

Drive architecture, design, and implementation of scalable, reliable, secure, and maintainable software systems.

Lead complex cross-functional technical initiatives from discovery and design through delivery and production operation.

Partner with Product, Engineering, Data, Risk, Compliance, Operations, Customer Experience, and business stakeholders to align technical solutions with business outcomes.

Evaluate existing systems and identify opportunities to improve reliability, scalability, performance, maintainability, observability, and developer productivity.

Design and guide implementation of backend services, APIs, integrations, platform capabilities, and distributed systems.

Influence technical strategy, roadmap planning, and prioritization across teams.

Establish and promote engineering best practices for architecture, code quality, testing, CI/CD, monitoring, documentation, and operational excellence.

Serve as a technical mentor to engineers and technical leads, raising the bar for design quality, execution, and ownership.

Help teams make sound technical tradeoffs across speed, quality, scalability, reliability, security, and long-term maintainability.

Support modernization efforts, platform improvements, and integration strategies across legacy and modern systems.

Use AI-enabled engineering tools, automation, and productivity solutions to improve development workflows, operational efficiency, and team effectiveness.

Identify practical opportunities where AI-assisted tools or automation can improve customer experience, internal workflows, engineering productivity, or operational outcomes.

Collaborate on systems that may include customer communications, telephony, contact center workflows, servicing platforms, or enterprise integrations.

Participate in production support, incident review, root cause analysis, and long-term reliability improvements for critical systems.

12+ years of professional software engineering experience.

Strong experience designing, building, and operating large-scale distributed systems.

Proven ability to provide technical leadership across multiple teams or complex domains.

Deep experience with backend services, APIs, data flows, integrations, and cloud-based architectures.

Proficiency in one or more modern programming languages such as Java, Python, Go, JavaScript/TypeScript, Kotlin, or similar.

Strong understanding of system design, software architecture, scalability, reliability, observability, and operational excellence.

Experience with cloud platforms such as AWS, GCP, or Azure.

Experience with relational and/or NoSQL databases.

Experience with CI/CD, automated testing, monitoring, logging, alerting, and production operations.

Demonstrated ability to influence technical direction without relying solely on authority.

Strong communication skills with the ability to explain complex technical concepts to engineering and non-engineering stakeholders.

Experience mentoring engineers and helping teams improve technical execution.

Strong ownership mindset and ability to drive ambiguous, cross-functional initiatives to completion.

Strongly Recommended

Experience using AI-enabled tools, copilots, automation platforms, or intelligent productivity solutions to improve engineering workflows.

Practical understanding of how AI tools can support software development, knowledge discovery, documentation, testing, operational support, or workflow automation.

Ability to evaluate where AI-assisted solutions are useful, where they are not appropriate, and how to apply them responsibly in an enterprise environment.

Preferred

Experience with telephony, contact center platforms, IVR, call routing, voice systems, customer communications, or customer engagement technologies.

Experience with platforms such as Twilio, Amazon Connect, Genesys, Five9, NICE, Cisco, Avaya, or similar technologies.

Experience integrating with third-party SaaS platforms, vendor APIs, or enterprise systems.

Experience in fintech, financial services, lending, risk, servicing, collections, customer support, or regulated environments.

Experience modernizing legacy systems and improving reliability of business-critical platforms.

Experience evaluating emerging technologies and applying them pragmatically to business or engineering problems.

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