Senior Staff Software Engineer, AI Accelerated SDLC

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: We are looking for an experienced Senior Staff Software Engineer to join our Builder Tools engineering organization with a mission to enable SoFi engineers to elegantly solve problems. In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our next gen AI-powered SDLC, and elevate developer experience through AI enabled workflows, tooling and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery.  What You’ll Do: Technical leadership - Provide thought leadership for technical architecture and design, implementation, delivery and operations of AI enabled tools, agents, and workflows across the SDLC including plan, code, test, build, deploy, observe and remediate. Innovate - Collaborate with cross-functional teams to drive innovation in developer tooling, and advancements including AI assisted developer productivity flows. Exemplary Practitioner  - Be a subject matter expert for one or more developer tooling domains,  including operational excellence.  Mentor - Collaborate with engineers in the team, provide mentorship, and domain expertise to enhance the overall technical capabilities of the team.. Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks. Collaborate –Build strong working relationships with coworkers and cross-organizational teams. Influence - Influence and scale the adoption of AI powered SDLC tooling, workflows and best practices across the engineering organization. What You’ll Need: Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. 8+ years software development experience. Experience developing in a cloud environment (ex: AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies, service meshes (e.g., Istio, Envoy), CI/CD and automated testing. Expertise -  2+ years of experience in AI tools (e.g., Claude Code, Agent SDK, Prompts, Skills, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI) Design - Strong understanding of software design principles, and distributed systems architecture. Problem solving - Strong problem solving and programming fundamentals (algorithms, data structures). Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform). Project Ownership - Ability to own, manage and deliver projects from scoping through launch. Experience working with Agile development processes.  Strong Interpersonal skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with technical and non-technical members, and proven skills to operate effectively in a cross-functional team.  Preferred Qualifications: Experience with security, compliance, and risk management in cloud environments. Experience with monitoring and logging (e.g. Datadog, Elastic, Splunk). Experience with container orchestration (e.g., Docker, Kubernetes) and networking  Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, m