• Build AI-powered internal tools that compress the work of the GTM team. Lead enrichment and scoring agents, account research workflows, automated outbound personalization, call summarization and insight extraction, internal knowledge agents over Slack, Notion, and the CRM. Think about every hour of repetitive GTM work as a candidate for automation. • Build customer-facing growth surfaces. Interactive demos, sandboxed playgrounds, in-product guides, AI-assisted onboarding, dynamic case study experiences, and tools that help prospects evaluate Goldsky themselves before they ever talk to sales. • Ship marketing engineering. The website, landing pages, A/B tests, lifecycle email flows, attribution plumbing, and the integrations between marketing tools, CRM, and product analytics. Treat the GTM stack as a real engineering surface, not a pile of duct tape. • Partner with sales engineering and solutions to automate parts of the customer evaluation journey: provisioning, sample pipelines, integration accelerators, ROI calculators, technical content generation. • Instrument and learn. Set up the analytics and experimentation needed to know which tools and surfaces are actually driving growth. Kill what doesn’t work, double down on what does. • Be the AI specialist for GTM. Stay close to the frontier of LLMs, agent frameworks, and AI-native tools, and bring back the ones that meaningfully change how we operate. Help the rest of the company become better AI users.

• Identify and raise risks across multiple modules, including security risks and downstream platform impacts, before they reach production • Provide architectural guidance across multiple product areas and make cross-module design decisions • Work closely with Team Leadership and Architects to translate architecture decisions into work the Engineering team can execute • Write and refine requirements for features in collaboration with Product and Team Leadership • Provide input on Engineering and coding standards and hold the team to them • Mentor and guide less experienced engineers toward solutions, making it a learning experience rather than just handing out answers • Identify technical debt across projects and use a data-driven approach to advocate for addressing it • Support multiple product areas concurrently and context-switch between efforts as priorities shift

Role Description As a Staff Engineer, you will play a pivotal role in delivering high-impact, scalable solutions for the company's backend infrastructure. You will tackle complex engineering challenges and take ownership of key technical projects that drive innovation and excellence across our systems. In a fast-paced, evolving environment, you will be instrumental in shaping the technical direction and ensuring the robustness and reliability of our services. - Lead technical initiatives, shaping project strategy and ensuring successful execution of medium to large-scale backend projects. - Deliver backend solutions that balance business goals, scalability, and operational efficiency. - Operate autonomously, often driving key project segments or entire projects to completion, aligning with business goals and customer needs. - Mentor and guide engineers across levels, supporting their technical development and helping grow a culture of excellence across teams. - Champion best practices in coding, system design, and architecture, contributing to continuous improvements in engineering methodologies. - Work closely with cross-functional teams to deliver seamless integrations and maintain optimal system performance. - Deliver high-quality, innovative solutions that enhance system performance, scalability, and user experience. - Support the development of junior or semi-senior engineers by fostering a culture of collaboration, continuous learning, and shared ownership. - Drive the evolution of engineering practices by introducing improvements, promoting innovation, and sharing technical expertise across teams. - Solve technical problems of the highest scope, complexity, and ambiguity. - Promote the adoption of AI-assisted engineering practices within your squad and chapter, leveraging tools for code generation, automated refactoring, test case creation, and technical documentation. - Identify opportunities where AI can enhance developer productivity, code quality, and team velocity. - Drive innovation within your team by experimenting with new approaches and boldly solving complex engineering challenges. Qualifications - Academic background oriented toward computer science, engineering, or software development disciplines. - Development using Java, Spring Boot, PostgreSQL, Kafka, and AWS. - Experience in Python is a plus. - Experience with asynchronous programming. - Track record of success in hands-on backend engineering positions. - Experience working with domains of medium to high complexity. - A solid understanding of how web and mobile applications work including security, session management, and best development practices. - Knowledge of relational database systems and Object Oriented Programming. - Knowledge of Domain-Driven Design (DDD); familiarity with microservice architecture is a plus. - Experience conducting code reviews, driving knowledge sharing, and promoting collaborative development practices. - Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques. - Proven ability to design complex distributed applications built for high performance and throughput while being scalable and reliable. - Practical experience applying AI frameworks in development projects. - Demonstrated experience profiling and performance tuning Java applications, and using monitoring tools for production application monitoring. Soft Skills - Strategic thinking and problem-solving skills, with a proactive approach to identifying and addressing technical and process gaps. - High degree of autonomy and accountability, capable of leading technical decisions and driving initiatives with minimal supervision. - Proven mentorship capabilities, fostering the growth of junior and mid-level engineers through guidance, feedback, and pairing. - Strong communication skills, with the ability to effectively articulate complex technical ideas to both technical and non-technical stakeholders. - Ability to collaborate cross-functionally with different chapters like engineering, frontend, product, design, backend, and infrastructure to deliver high-impact solutions. - Comfortable navigating ambiguity and complexity, with a mindset focused on continuous learning and system improvement. - Demonstrated influence in shaping engineering practices and elevating team-wide technical standards. - Alignment with company values: ownership, excellence, adaptability, and innovation. Industry-Specific Knowledge - It is desirable for Staff Backend Engineers to have hands-on experience or practical familiarity with one or more core financial domains such as lending, payments, credit cards, open finance, fraud prevention, merchant acquiring, or investment services. - A strong understanding of key operational workflows, integration patterns, and data flows within these domains is highly valued, especially in contexts where backend decisions impact performance, compliance, or financial accuracy at scale. - Ideal candidates will have led or significantly contributed to the architecture and development of backend systems powering critical financial use cases, such as real-time transaction processing, loan management engines, payment orchestration layers, settlement and reconciliation services, or KYC/AML-compliant onboarding pipelines. - Experience designing secure, auditable, and scalable APIs for internal and external consumers is also highly desirable. - The ability to translate complex regulatory requirements (e.g., PCI-DSS, GDPR, LGPD) into resilient, compliant, and high-performing backend architectures sets exceptional candidates apart at this level.

• As a Senior Software Engineer on our Automation team, you’ll work collaboratively with other engineers, data scientists, and subject matter experts to build and maintain Fixify’s automation capabilities. • You’ll get hands-on, real world experience with bleeding edge tools and techniques, unlocking novel new solutions to historically difficult problems. • Working hand-in-hand with data scientists, you will contribute to our AI architecture, helping us harness LLMs while ensuring our solutions are safe, reliable, and scalable. • As a member of our product organization, you’ll be encouraged to be creative, and bring your own unique perspective and experiences to bear. • Most importantly, you’ll be connected directly to our customers, and the problems we aim to solve for them, allowing you to ship solutions that make a real difference.