Director of Compliance

🏢 Summary: Hands-on Head of Software Engineering role responsible for leading full-stack architecture, development, and delivery of a consumer lending platform across Angular, Java/Spring Boot microservices, and AWS. The position combines technical leadership, system architecture ownership, and team management in a high-availability, regulated fintech environment. The role requires driving architectural simplification, CI/CD maturity, and adoption of AI-assisted development practices. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years in senior engineering leadership role, Strong Java and Spring Boot experience, Experience with Angular or modern front-end frameworks, Experience designing microservices and REST APIs, Experience with relational databases, Hands-on AWS infrastructure experience (EC2, S3, SQS, CloudWatch, CodeBuild), Ownership of CI/CD pipelines in production environments, Experience with high-availability distributed systems, Experience conducting architecture and code reviews, Experience simplifying complex architectures, Bachelor’s degree in Computer Science or related field, Residence in Texas within commuting distance to DFW, Authorization to work in the United States 📃 Skills: Java, Spring, SpringBoot, Angular, AWS, EC2, S3, SQS, CloudWatch, CodeBuild, REST, Microservices, MVC, SQL, CI/CD, GitHub, Bitbucket, AI, Copilot, LLM 🏢 Description: Title: Head of Software Engineering Function: Technology Reports to: Chief Growth & Strategy Officer Level: Director Location: Addison, TX (4 days/week in-office required) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. WHO WE ARE Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime® — helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves — including this role.POSITION SUMMARY Braviant is looking for a hands-on engineering leader to own our full-stack application development function. You will serve as both the primary software architect and the engineering manager for a team of 6–8 full-stack developers and QA engineers, responsible for our consumer lending platform across its full lifecycle — from front-end Angular interfaces to back-end Java/Spring Boot services to cloud infrastructure on AWS. This is not a purely managerial role. We expect you to stay deeply technical: conducting architecture and code reviews, prototyping solutions, and being the person the team turns to when the hardest problems surface. You will bring the judgment to assess our current architecture — a complex, 30+ microservice environment — and develop and execute a pragmatic plan to simplify it and reduce release friction over time. This role is Addison, TX-based with a 4-day in-office requirement. The team is currently based primarily in Chicago and it might require up to 20% of travel initially. You will be the on-the-ground engineering leader helping establish the engineering culture. WHAT YOU’LL OWN Architecture & Technical Leadership Serve as Braviant’s primary software architect — owning system design, technology choices, and engineering standards across all application layers. Assess the current architecture (30+ microservices, Java/Spring Boot back end, Angular front end, AWS) and develop a pragmatic rationalization roadmap to reduce complexity and improve deployability. Stay close to the codebase: lead architecture reviews, conduct meaningful code reviews, and prototype solutions to de-risk key technical decisions. Own high-availability design for loan origination, payment processing, and transaction workflows, targeting 99.9%+ uptime SLAs. Define and evolve CI/CD pipeline strategy, release practices, and engineering quality standards. AI-Native Development Transformation Lead the transition to an AI-native development model — embedding AI-assisted development tools (e.g. GitHub Copilot, Cursor, agentic coding frameworks) into how the team designs, builds, tests, and ships software every day. Partner with the Head of AI & Automation to identify where AI-generated code, automated testing, and LLM-powered tooling can meaningfully accelerate delivery and reduce QA burden. Champion engineering practices that make AI tooling safe and auditable in a regulated consumer lending environment. Engineering Delivery Own end-to-end software development for consumer-facing and internal applications — from requirements through deployment and support. Manage the full stack: Angular front end, Java/Spring Boot microservices, AWS infrastructure (EC2, S3, SQS, CloudWatch, CodeBuild), and database layers. Own the QA function within the engineering team; define the right balance of automated testing, manual QA, and release gates. Champion security-by-design and compliance standards appropriate to a consumer lending environment (PCI, state lending regulations, CFPB-related requirements). Team Leadership & Culture Lead, develop, and retain a team of 6–8 full-stack engineers and QA professionals; set performance standards, provide mentorship, and build a culture of craftsmanship and accountability. Hire and grow the Addison-based engineering team — you will be the anchor for that office’s technical culture. Manage the engineering budget, including capex/opex planning, vendor relationships, and tooling decisions. Partner with business stakeholders and executive leadership to translate product and operational priorities into engineering plans; represent engineering at the leadership level. WHAT YOU’LL BRING Required 10+ years of software engineering experience, including at least 5 years in a senior engineering leadership role (Director, Head of Engineering, or equivalent). Deep full-stack background: strong Java/Spring Boot on the back end, experience with Angular or equivalent modern front-end frameworks, and solid command of relational databases and API design (REST, microservices, MVC). Proven software architect — you have designed production systems, made technology bets that paid off, and course-corrected ones that didn’t. Experience rationalizing or simplifying over-engineered architectures: you can diagnose why a system became complex, build stakeholder alignment around a simplification plan, and execute it without breaking production. AWS cloud infrastructure ownership: EC2, S3, SQS, CloudWatch, CodeBuild, and related services — configuration, architecture, and operations. CI/CD pipeline ownership at production scale; strong branching, review, and release practices using GitHub, Bitbucket, or equivalent. Experience with high-availability, distributed systems in a real-time transaction processing environment. Engineering budget ownership: capex/opex planning, vendor management, and resource allocation. Demonstrated ability to hire, develop, and retain engineering talent in a competitive market. Comfortable in a lean, startup-style environment with heavy workloads, competing priorities, and ambiguity — this is not a role for someone who needs a large support structure. Bachelor’s degree in Computer Science or a related field; Master’s a plus. Preferred Hands-on experience building with AI-native development tools or frameworks (GitHub Copilot, Cursor, agentic coding pipelines, LLM-assisted test generation). Experience in consumer lending, fintech, payments, or another regulated financial services technology environment. Familiarity with MCP integrations, agentic AI architectures, or building internal developer productivity platforms. Formal software architecture or cloud certification (e.g., AWS Solutions Architect). BENEFITS & PERKS Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: Comprehensive healthcare including medical, dental, and vision coverage Generous paid time off, including PTO, sick time, and 13 company holidays 401(k) with company contribution Participation in annual discretionary bonus plan Regular team and company gatherings Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

🏢 Summary: Senior Lead AI/ML Engineer role focused on building and operating AI-native security tooling integrated with Azure and GitHub Copilot. The position involves hands-on development of deterministic orchestration systems, multi-agent workflows, and secure SDLC practices across the full lifecycle. The engineer will design, develop, test, deploy, and integrate AI-driven solutions within vulnerability-response environments. 🗂️ Requirements: Senior-level hands-on engineering experience with daily production code delivery, Deep experience with Azure and GitHub Copilot as primary stack, Strong proficiency in Go or equivalent systems language, Hands-on experience with multi-agent and multi-model workflows in production, Experience with secure SDLC, TDD, and threat modeling, Full SDLC ownership from design through deployment and documentation 📃 Skills: Azure, GitHub, Copilot, Go, Kubernetes, Kibana, Python, PySpark, SAS, SPSS, TensorFlow, PyTorch, Scikit-learn, CNTK, Keras, MXNet, R, Kubeflow, BentoML, SIEM, SOAR, EDR, ITSM, CMDB 🏢 Description: Senior Lead AI/ML Engineer Primary Skills Value Quantification: Pre-Model Development, Model Provisioning: Kubernetes, Kibana, Model Monitoring, Cloud Computing, Python/PySpark, SAS/SPSS, Great Expectation, Evidently AI, Deployment Strategies (A/B, Blue green, Canary), Model testing, Tools (KubeFlow, BentoML), Integration testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Value Quantification: Post-Model Deployment, Model Experimentation, R/R Studio Specialization ML Engineering: AI/ML Engineer Job Requirements Senior Lead AI/Full Stack Engineer Work Type: Hybrid Model with min 2–3 days per week Description The mission is to build AI-native tooling that enables rapid, machine-speed response to security threats by implementing work-focused security agents and deterministic orchestration integrated with vulnerability-response stacks (SIEM/SOAR/EDR, identity, vulnerability management, CMDB, ITSM). This is a hands-on engineering role focused on writing production code, operating agent fleets, and delivering across the full SDLC. Responsibilities - Write production-grade code, primarily in Go, building deterministic and testable orchestration tooling. - Operate multi-agent workflows, decomposing backlogs into parallel streams and managing review gates. - Embed security into development with TDD, validation stages, persona-based threat judging, signed builds, SBOMs, and strict access control. - Integrate natively with Azure and GitHub Copilot; build missing components within the existing stack. - Run model-agnostic personas across Claude, Copilot, and ChatGPT, managing token usage and context budgets. - Own end-to-end SDLC: design, development, testing, integration, deployment, documentation, and knowledge transfer. Must-have - Senior engineer actively delivering hands-on production code. - Deep Azure and GitHub Copilot delivery experience. - Strong Go or equivalent systems language expertise. - Proven experience operating multi-agent or multi-model workflows in production. - Strong secure SDLC practices, TDD discipline, and threat modeling experience. - End-to-end SDLC ownership experience. Nice-to-have - Experience integrating SIEM, SOAR, EDR, identity, vulnerability management, CMDB, or ITSM systems. - Experience with evaluation harnesses, red-teaming, agent guardrails, sandboxing, reversibility, confidence thresholds, and audit trails.

🏢 Summary: Executive technical leadership role to scale and evolve a global AI-driven brand compliance platform built on cloud-native architecture. The position focuses on defining technical vision, overseeing scalable and resilient systems on GCP, and integrating AI/ML into production-grade products. The mission is to transform the engineering organization into a high-performance team while maintaining startup agility. 🗂️ Requirements: Proven experience as CTO, VP Engineering, or Head of Tech in startup environment, Expert knowledge of Java, Python, and React, Strong experience with cloud-native architectures on GCP, Experience building data-intensive platforms, Experience integrating AI/ML into production systems, Experience designing scalable microservices architectures, Experience with event-driven systems, Ability to define and execute technical strategy, Experience leading and scaling cross-functional engineering teams 📃 Skills: Java, Python, React, GCP, Microservices, GraphQL, AI, ML, NLP, DevOps, QA, Cloud, Architecture, Event-driven 🏢 Description: What’s at stake? We’re changing the rules of the game in global brand compliance. Our product is in an extremely dynamic phase of development, and the largest e-commerce platforms on the market are already taking a direct interest in our innovative approach. What gives us a massive advantage is access to unique datasets—powerful fuel for building advanced AI-based solutions. We’re looking for a leader who will step up and take our product to the very top! Your mission and challenge : We need a technological visionary who will take the helm and transform our product and engineering organization into a high-performance machine. You must know how to scale processes and architecture without losing the agility and startup spirit that drives us. Our Tech Stack We build on a robust and modern foundation: Backend: Java (modern frameworks, microservices architecture). Frontend: React (building intuitive, data-rich management dashboards). AI/ML Module: Python (dedicated models for natural language processing of regulations and automated decision-making). Infrastructure: Google Cloud Platform (GCP). Engineering Philosophy: High focus on "Compliance by Design," high availability, and seamless integration with global regulatory data sources. Key Responsibilities Technical Strategy: Define the long-term technical vision and roadmap, ensuring the platform remains "right by design" and scalable for global markets. Architecture Oversight: Oversee the evolution of the GCP and Event-driven infrastructure, ensuring high resilience and security. Team Leadership: Scale and mentor a cross-functional engineering team (Software, Data, AI, DevOps, QA), fostering a culture of high velocity and low ego. Product-Tech Alignment: Collaborate with stakeholders to translate complex burdens into elegant, automated digital products. Innovation: Drive the integration of AI/ML and GraphQL layers. Requirements Leadership: Proven experience in executive technical leadership (CTO, VP Engineering, or Head of Tech) in a fast-paced startup environment. Deep Technical Roots: Expert knowledge of modern stacks (java, python, react) and cloud-native architectures (GCP). Data & AI Vision: Experience building data-heavy platforms and integrating AI/ML into production workflows. Business Acumen: Ability to align technical decisions with commercial goals and regulatory requirements. Mindset: A pragmatic leader who stays "close to the code," values ownership, and thrives on solving high-impact problems.

🏢 Summary: Leadership role to build and scale the engineering function for an early-stage, perimeter-safe data lineage and migration impact-analysis platform serving regulated enterprises. You will own delivery, quality, security readiness, and roadmap execution while partnering with the Chief Architect and leading a distributed team. This is a hands-on player-coach position focused on bringing engineering discipline and enterprise-grade maturity to a growing product. 🗂️ Requirements: Engineering leadership experience managing and growing teams, Hands-on technical depth in data platforms, metadata, backend or platform engineering, Experience building or rebuilding engineering functions in early-stage environments, Experience implementing testing, QA, CI/CD and release processes, Experience leading distributed or offshore teams, Knowledge of security and compliance practices (SOC 2, audit logging, SSO, secure deployment), Strong practical use of AI in engineering workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: Data, Metadata, Backend, CI/CD, DevOps, QA, Containerization, Infrastructure-as-code, SOC2, SSO, AI, Security, Compliance, Audit, DevOps, Versioning 🏢 Description: Lead the engineering function behind an early-stage, perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. Description We are hiring a Director of Engineering to lead and grow the engineering organization behind a working product that is becoming a standalone business. This is a build-focused role where you will own delivery, quality, security readiness, engineering process, and execution of the technical roadmap, partnering closely with the Chief Architect. What You'll Work On - Lead a distributed engineering team across platform/product engineering, connectors, QA, DevOps/infra, AI implementation, data governance, and support. - Own delivery, quality, release discipline, and execution of the technical roadmap. - Implement automated testing, QA, CI/CD, release governance, and versioning. - Drive repeatable, perimeter-safe deployments including containerization, infrastructure-as-code, secure deployment, and SOC 2 readiness. - Partner on the connector framework, canonical metadata model, architecture decisions, and product IP. - Assess current talent, retain strong contributors, hire to fill gaps, and align the team to the roadmap. - Promote practical AI usage across coding, review, testing, operations, and engineering productivity. What You'll Bring - Experience leading and growing engineering teams, owning delivery, and shipping products. - Hands-on technical depth in data platforms, metadata, backend systems, or platform engineering. - Experience building or rebuilding engineering functions in startup or early-stage environments. - Experience implementing testing, QA, CI/CD, and release practices. - Experience leading distributed or offshore teams. - Security and compliance literacy for regulated environments, including SOC 2, audit logging, SSO, data security, and secure deployment. - Strong AI fluency with practical application across engineering workflows. How You Work - Player-coach mindset with ability to go deep technically and ship pragmatically. - Comfortable operating with incomplete information and defining direction. - Ability to improve quality, process, and security without slowing momentum. Bonus Points - Experience maturing early-stage products to enterprise-grade. - Background in regulated industries such as financial services, insurance, healthcare, or government. - Familiarity with perimeter or on-prem deployment, lineage, metadata, graph data, or migration impact-analysis. What Success Looks Like - Clear team ownership and strong delivery rhythm with a credible roadmap-to-release model. - Testing, QA, CI/CD, release governance, and versioning in place without slowing product momentum. - Progress toward enterprise-grade readiness for regulated buyers. - Trusted partnership with the Chief Architect and credible leadership across engineering and executive stakeholders. Additional Requirements - Must be authorized to work for any employer in the U.S. (no visa sponsorship available). - Must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, or Washington DC.