• Build and maintain data extracts from legacy platforms to support conversion into Oracle Fusion • Analyze legacy data sources, tables, fields, relationships, and business rules needed for migration • Partner with functional and technical teams to define source-to-target mappings and extraction requirements • Support data deduplication efforts to eliminate redundancies and improve data quality before load • Cleanse, transform, standardize, and prepare data for conversion into Oracle Fusion • Generate extract files, staging datasets, or load-ready templates for mock and production conversion cycles • Perform end-to-end reconciliation between legacy and target platforms to validate data accuracy, completeness, and integrity • Investigate data discrepancies, rejected records, duplicate values, mapping issues, and conversion defects • Document extraction logic, transformation rules, reconciliation results, known exceptions, and issue resolution steps • Support mock conversions, validation cycles, UAT support, production cutover, and post-conversion stabilization • Collaborate with existing application teams to reduce disruption to ongoing legacy application support • Provide data analysis and reporting support to help stakeholders understand conversion status, risks, and readiness • Assist with cutover planning by validating final extracts, confirming data quality, and supporting production load activities • Help ensure that data conversion work is repeatable, auditable, and aligned with Oracle Fusion migration requirements

Role Description We are seeking an experienced Quant Developer (FinTech) to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. - Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. - Raise the bar through code review, design review, and mentorship of more junior engineers. - Bring strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline. - Six or more years of software engineering experience, with significant time in fintech. - Strong programming skills in C++, Java, or Python (preferably more than one). - Solid grounding in financial markets, instruments, and basic quantitative methods. - Hands-on experience building low-latency, high-throughput systems. - Experience with market data systems and FIX protocol implementations. - Strong understanding of risk and P&L attribution. - Experience with high-performance computing patterns and concurrency. - Excellent debugging, profiling, and performance-tuning skills. - Strong communication and documentation skills. Requirements - Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python. - Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations. - Build robust market data ingestion and normalization pipelines for high-volume tick data. - Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks. - Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants. - Profile and optimize critical-path code for latency and throughput. - Build comprehensive backtesting and simulation infrastructure. - Collaborate closely with quants, traders, and risk officers to refine models and tooling. - Implement regulatory and compliance reporting workflows. - Ensure full observability of trading systems with appropriate logging, metrics, and audit trails. - Lead incident response for trading-critical issues. - Maintain comprehensive, current technical documentation. - Mentor junior engineers and contribute to engineering culture in the team. Benefits - Competitive base salary commensurate with experience, plus benefits. - 100% remote work opportunity. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap.

• Design, develop, and maintain software solutions in a legacy MUMPS / Caché environment • Perform coding, unit testing, and debugging to support ongoing system enhancements and maintenance • Collaborate with business analysts to translate requirements into technical solutions and provide support for requirements analysis • Support system, integration, and user acceptance testing • Participate in Beta (IOC) testing activities with active medical centers, including issue resolution • Provide ongoing production support and troubleshooting for deployed applications • Provide documentation of technical designs, processes, and system behavior • Work independently and collaboratively within a cross-functional team to meet project deadlines

Role Description As a Senior Software Engineer, you will help shape the future of our Horizon platform and the way we build software. Horizon is the platform behind SkySpecs' wind and solar inspection and asset-management business, and the work is hands-on building, end to end. As the cost of producing code falls, an engineer's impact comes more than ever from judgment, design, and outcomes, not volume. AI is central to how we work here, and we treat it as serious leverage: a force multiplier for engineers who already have strong instincts, not a substitute for them. We expect everyone to keep pushing what AI, automation, and agents make possible, and to bring the judgment that makes that leverage pay off. We do not separate thinking from doing. Engineers are expected to understand the problems they are solving, formulate effective solutions, and participate directly in delivery by writing and owning production code. The people closest to the work are expected to challenge assumptions, improve proposed approaches, and actively shape how outcomes are achieved. This is a full-stack engineering role. While engineers may develop areas of deeper expertise, we expect everyone to be capable of working across frontend, backend, infrastructure, data, and developer tooling as needed to deliver outcomes. We value engineers who can understand the entire system, formulate end-to-end solutions, and contribute wherever the work requires. Our platform is built using: - AWS - GitLab - Auth0 - Grafana - Terraform - Kafka - Node.js - TypeScript - Apollo GraphQL - React - Ant Design - Vitest - Playwright - PostgreSQL IN A GIVEN WEEK, YOU WILL: - [15%] Work with product managers, customers, internal users, and other engineers to understand requirements, constraints, and desired outcomes. - [10%] Formulate solutions, evaluate tradeoffs, and break work into executable milestones and implementation plans. - [55%] Build and ship software. Examples include: - Authoring and infrastructure as code. - Designing and implementing new services and APIs. - Building reusable user experiences and workflows. - Improving reliability, performance, security, and developer productivity. - Reviewing code generated by peers and by agents. - Leveraging AI tools and autonomous agents to accelerate delivery. - [20%] Improve Horizon, our engineering systems, and the way we work. Examples include: - Building internal tooling and automation. - Improving documentation and architectural clarity. - Reducing operational toil. - Expanding AI and agent capabilities. - Improving testing, observability, and deployment workflows. - Exploring new ideas, experiments, and prototypes that could improve Horizon or the way we build software. Success is measured by outcomes delivered, not lines of code written. Qualifications - 5+ years in roles where you wrote, shipped, and operated production software. - Depth in at least one part of the stack and the range to work across the rest. - Strong software engineering fundamentals and systems-thinking. - Ability to independently drive work from requirements through delivery. - Good judgment around tradeoffs, architecture, and maintainability. - Strong written communication skills. - Demonstrated ability to work within a cross-functional team of technical and non-technical contributors. - Ability to work effectively across multiple layers of the stack. - Experience working with AI-assisted and agentic development workflows. - Hands-on experience with AI-assisted and agentic development workflows, and a track record of evolving how you use them. - Sound judgment when using AI tools, including reviewing and correcting agent-generated code. Requirements - Familiarity with our stack: AWS, GitLab, Auth0, Grafana, Terraform, Kafka, Node.js, TypeScript, Apollo GraphQL, React, Ant Design, Vitest, Playwright, and PostgreSQL. - Experience building internal platforms, developer tooling, or automation systems. - Experience operating distributed systems at scale. - Background in utility scale energy generation, emphasis on renewables. What We Value - Own outcomes, not assignments. - Have strong opinions that are loosely held. - Operate autonomously and are self-accountable. - Create clarity from ambiguity. - Improve systems, not just features. - Take initiative in identifying and addressing risks, improvements, and opportunities that increase the impact of their work. - Continuously learn, adapt, and experiment with new technologies and ways of working. Location & Logistics - This role may be remote or located in the SkySpecs Ann Arbor headquarters, depending on candidate location and preference. Remote applicants will be expected to attend team meetings primarily in the US Eastern timezone. - This position does not offer financial support for relocation. - Applicants must be currently located in the United States and legally authorized to work in the United States for this employer now and in the future, without the need for visa sponsorship. We are unable to sponsor or take over sponsorship of employment visas at this time. - Base salary dependent on experience and location. Position is eligible for discretionary annual bonus. SkySpecs is an equal opportunity employer. SkySpecs does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.