Principal Software Engineer

Technical problem solver: Going far beyond simply developing error-free source code, test scripts, components and system architectures, you'll document and build deployment guides aimed at maintaining robust, relevant software Customer-centric engineer: Putting clients' needs first, you'll translate customer requirements into technical applications and support the implementation of new software Motivated mentor: Exercise your technical chops while coaching and collaborating with junior software engineers. Forward thinker: Merely fixing a problem isn't enough - using your proactive mindset and initiative, you'll also identify opportunities to enhance performance, quality and efficiency Eight or more years of software engineering experience A strong background in business operations and strategies, including knowledge of global business, technology trends and the financial services industry Hands-on involvement with layered systems architectures, designs and shared software concepts; Working knowledge of contemporary frameworks and emerging technologies Familiarity with functional and system integration testing, a history of practicing DevOps and SecOps Experience working in an agile environment Strong enterprise architecture and technical leadership skills, with the ability to make architectural decisions that promote scalability, resilience, maintainability, and long-term evolution. Strong experience in distributed systems, event-driven architectures, API design, microservices, integration patterns, and distributed computing for high-throughput applications. Proficiency in cloud-hosted and modern web application development using Node.js, React, TypeScript, HTML/CSS, Micro Frontends, and contemporary JavaScript frameworks; working knowledge of Java. Experience building and optimizing cloud-native platforms using modern cloud services (preferably AWS), CDK, DevOps practices, GitHub Actions or equivalent CI/CD platforms, and infrastructure automation. Strong database and data engineering skills, including relational database design, data modeling, large-scale data ingestion, cloud-scale data management, governance, performance tuning, and scalability. Deep understanding of application and platform security, including authentication, authorization (OAuth 2.0, OpenID Connect), secure coding practices, and OWASP Top 10 principles. Expertise in engineering quality practices, including design thinking, test-driven development, automated testing with Playwright, performance testing with JMeter (or equivalent), and rigorous code review processes. Experience implementing observability and operational excellence practices using Datadog, Splunk, monitoring, diagnostics, and reliability engineering methodologies. Experience building and implementing solutions leveraging Generative AI, Agentic workflows, workflow automation, and intelligent process orchestration capabilities to improve engineering productivity and business outcomes. Strong negotiation, facilitation, and influence skills, with the ability to align diverse stakeholders and drive consensus-based outcomes. Proven analytical and problem-solving skills, including the ability to identify systemic issues, recognize cross-team dependencies, and translate ambiguity into actionable solutions. Excellent written and verbal communication skills, with the ability to convey complex technical concepts and collaborate effectively across technical and non-technical teams. Demonstrated adaptability, resilience, continuous learning, mentorship, and a commitment to fostering innovation and building high-performing engineering teams. A bachelor's or master's degree in a technical or business discipline, or equivalent experience Design, build, and integrate full‑stack solutions using JavaScript/TypeScript, React, Node.js, Next.js, and/or Java. Build and execute AI driven workflows. Drive our Micro Frontend (MFE) strategy, rapidly onboarding React apps into the Bridgeway MFE platform. Develop a deep understanding of upstream and downstream systems to maintain end‑to‑end data quality, proactively identifying risks, resolving root causes, and preventing data‑induced defects. Break down ambiguous technical problems, identify root causes across complex systems, and deliver incremental improvements with clear milestones. Collaborate with cross‑functional partners across product, design, platform, security, and data to ensure system accuracy, streamline interactions, and drive continuous improvements to reliability, performance, and customer experience. Establish and champion engineering best practices, mentor engineers, driving measurable improvements across SCORP engineering excellence pillars.