Where strategy meets shipping and engineering earns its seat at the table
Summary
I lead global engineering teams to scale SaaS platforms, modernize legacy systems, embed AI across SDLC. I deliver transformation with precision, clarity, business alignment.
My approach combines Servant Leadership with hands-on execution. If you need engineering that moves fast, scales with purpose, builds with confidence - you're in the right place.
You can explore my Executive Summary to see how I lead transformation at scale.
Professional Experience
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Leadership ProfileServant leadership is not just a philosophy I subscribe to. It's the core operating system that runs beneath every team I build, every initiative I lead, and every decision I make. My role as a leader begins with service: to my team, to the mission, and to the outcomes that matter most. I don't lead from the top of a pyramid. I am results-oriented, transparent, urgent. I build trust, remove blockers, mentor.
Being a servant leader means intentionally listening more than I speak. It means creating psychological safety so engineers can propose bold ideas, respectfully challenge the status quo, and recover from failure without fear. I prioritize one-on-ones, not as status updates, but as spaces for mentorship, coaching, and career growth. I view my success through the lens of team success--velocity, code quality, innovation, and, most importantly, the well-being of the people writing the code.
Over the years, I've consistently seen that when engineers feel heard, trusted, and supported, performance soars. It's how I transformed underperforming teams into high-functioning units that take pride in delivering world-class software. I empower through context, not control--providing the 'why' behind every decision so that teams can own the 'how.' This approach doesn't just yield better software; it creates more invested, resilient, and motivated people. And at the end of the day, people build platforms--not the other way around.
This explains the difference between operational management and product leadership.
The Restaurant Owner vs. The Head Chef
Expert in the kitchen (the codebase)
Responsible for quality of every dish (feature)
Manages line cooks (engineers) directly
Ensures immediate execution is flawless
Focuses on the "what" and "how" of the current sprint
Handles daily operations and task assignments
Measures success by delivery speed and quality
Solves immediate problems and removes blockers
Thinks about the entire business and is concerned with:
The Menu: Product roadmap and customer needs
The Ambiance: Team culture and developer experience
The Supply Chain: Technical debt and tooling investment
The Customers: Solving the right problems for users
The Staff: Team happiness, growth, and effectiveness
A great engineering leader connects the team's day-to-day work to the larger business context. They ensure the team isn't just "cooking" efficiently but is cooking the right food for the right customers in a sustainable way. They balance tactical execution with strategic vision, ensuring both immediate delivery and long-term success.
AI is no longer a futuristic experiment. It's here, now, fundamentally transforming how we build, ship, and scale software. As a hands-on SaaS leader, I don't just treat AI as a bolt-on productivity tool. I treat it as a catalyst to rethink the very foundations of software delivery.
We're standing at the edge of an inflection point. Agile, while still valuable, is over two decades old. It was built for a different era. I believe we need to evolve toward an AI-native SDLC--where artificial intelligence is embedded in every phase of the lifecycle, from architectural planning and prototyping to testing, documentation, and deployment.
In my recent roles, I've used tools like Claude Code for architectural brainstorming, Cursor IDE for smart pair programming, and Gemini for intelligent code reviews. I've launched AI-powered features like virtual triage, symptom analysis, and ambient listening at scale--integrated into regulated environments like telehealth, where outcomes and accuracy matter.
But leadership in AI isn't about racing to implement the latest model. It's about intentional, ethical adoption. I'm currently developing AI guidelines that help teams stay responsible, protect sensitive data, and avoid the hype trap. I mentor engineers not just on how to use AI, but how to think critically about when and why to use it.
My focus is on improving Developer Experience (DevEx) and reducing flow friction. Whether we're accelerating MVP development, using AI for smarter testing and validation, or auto-generating user documentation, the goal is always the same: ship smarter, not just faster.
I don't want to slap AI onto the process. I want to lead teams who reimagine the process with AI built in from the start. You can read more about my AI Philosophy at RJL.ai.
I don't just partner with product management--I challenge and elevate it. Too often, engineering is treated as a delivery mechanism, handed a list of features and told to execute. I reject that model. Instead, I help reframe the relationship between engineering and product into a true collaboration--one where curiosity, strategic thinking, and empathy guide our priorities.
When I sit down with product leaders, I don't ask, "What do you need built?" I ask, "What problem are we solving, for whom, and why now?" That question resets the dynamic. It invites deeper thinking, customer empathy, and a shift away from feature-first planning toward outcome-driven strategy. This approach empowers developers to move upstream, engaging them in ideation and exploration instead of treating them as downstream executors. The result is higher engagement, stronger solutions, and a team that's aligned not just on what we're building--but why it matters.
Through this model, we prioritize with purpose. We vet ideas through the lens of business value, technical feasibility, and user impact. We make space for experimentation, rapid prototyping, and feedback loops--allowing us to validate hypotheses before we commit engineering resources. I bring engineering into product discovery and bring product into sprint reviews, creating a rhythm of shared accountability. When product and engineering operate as a single brain, the work is not only smarter--it's faster, more resilient, and far more impactful.
Visionary leadership is the foundation of driving sustained innovation and growth within any organization, and I take pride in my ability to articulate a clear, strategic vision while rallying teams to achieve ambitious goals. My approach to strategic roadmap development is highly collaborative, involving stakeholders from various departments to ensure alignment with business objectives and market demands. I thrive in fast-paced environments, adapting quickly to emerging challenges and opportunities while maintaining focus on long-term goals. By fostering an inclusive and transparent decision-making process, I build trust and encourage cross-functional teams to take ownership of their work. I am particularly passionate about harnessing emerging technologies and innovation to unlock untapped potential within products and services. My leadership style is characterized by an emphasis on quality, performance, and reliability, ensuring that every initiative meets or exceeds service level agreements (SLAs). I've spent the last 12 years successfully leading and growing geographically distributed remote teams, including onshore, nearshore, and offshore resources. I drive results by implementing effective collaboration strategies and leveraging the best tools to maximize communication, productivity, and performance across all regions.
Hands-on leadership is at the heart of my approach to solving challenges and delivering impactful results. Rather than remaining purely in a strategic or supervisory role, I actively engage with teams to understand the technical and operational complexities they face, providing guidance and support as needed. I believe that leaders who collaborate directly with developers, architects, and product teams are better equipped to anticipate and address potential risks, bottlenecks, or quality concerns before they escalate. Whether it involves troubleshooting escalated customer issues, optimizing system performance, or collaborating on architectural decisions, I am always ready to dive into the details when necessary. My ability to balance hands-on involvement with strategic oversight ensures that both immediate priorities and long-term objectives are met efficiently. By fostering an environment of open communication and mutual trust, I empower team members to experiment, innovate, and seek out solutions with confidence, knowing they have my support. My ultimate goal is to deliver high-impact, scalable software solutions that improve business outcomes and customer experiences while maintaining a strategic roadmap that aligns with the organization's vision.
Although I do not spend my day writing code, I have a deep and comprehensive understanding of the technical landscape required to build robust, scalable, and secure software systems. My technical expertise spans a wide array of domains, including cloud-native architectures, distributed systems, data security, and full-stack development for SaaS platforms. This expertise allows me to collaborate effectively with architects, engineers, and developers, providing meaningful input on design decisions and technical challenges. I have guided the successful implementation of complex features and enhancements, ensuring that they are not only technically sound but also aligned with user needs and business requirements. Additionally, I am well-versed in AI/ML integration, having overseen initiatives where machine learning models were embedded into product workflows to improve performance, personalization, and user satisfaction. My knowledge of software development best practices, such as CI/CD pipelines, automated testing, and code quality gates, enables me to advocate for continuous improvement within teams. Ultimately, my technical depth allows me to lead teams confidently, instilling trust and credibility while driving innovation and operational excellence.
As a seasoned SaaS technical leader, I have honed my ability to deliver cloud-based software solutions that meet the evolving needs of both customers and the business. I excel at translating complex business requirements into innovative technology strategies, ensuring that software solutions are scalable, reliable, and adaptable to future growth. My experience spans the entire SaaS product lifecycle, from initial architecture and development to deployment, maintenance, and ongoing optimization. I have led cross-functional teams in implementing modern development methodologies, including Agile/Scrum, to ensure rapid and iterative delivery. My focus on mobile-first design principles and API-driven architectures enables me to guide teams in creating software products that deliver seamless user experiences across multiple platforms. Collaboration and continuous improvement are core to my leadership philosophy, and I work closely with product managers, developers, and QA teams to foster a culture of shared responsibility and collective success. I am always seeking opportunities to enhance product offerings by staying ahead of emerging trends and innovations, ensuring that our SaaS solutions remain competitive in the marketplace.
Innovation drives sustainable growth, and throughout my career, I have prioritized creating products that solve real-world problems and deliver exceptional value to users. My approach to product innovation involves a combination of strategic planning, market research, and technical experimentation. I am passionate about identifying pain points within existing systems and processes and using those insights to drive the development of creative solutions. I have successfully led product teams in developing AI-powered features, streamlining workflows, and introducing new functionality that has improved customer satisfaction and retention. I foster a culture of innovation by encouraging teams to experiment with new ideas, leveraging rapid prototyping and feedback loops to test and refine solutions. My ability to collaborate with both technical and non-technical stakeholders ensures that innovation is guided by business goals and customer needs, rather than being driven solely by technology. By aligning innovation efforts with measurable outcomes, I have consistently delivered products that enhance productivity, efficiency, and profitability for the organization.
With over 35 years of experience in software development, I bring a wealth of knowledge and expertise to every project I lead. My background encompasses a diverse range of technologies, programming languages, and development methodologies, giving me the versatility to navigate complex technical environments and lead large-scale initiatives. I have successfully managed teams across multiple disciplines, including backend and frontend development, mobile applications, and cloud infrastructure. My leadership extends beyond technical execution-I am adept at managing budgets, timelines, and stakeholder expectations, ensuring that projects are delivered on time and within scope. I am known for my ability to mentor and develop engineering talent, creating high-performing teams that consistently exceed expectations. Whether implementing CI/CD pipelines, improving system reliability, or optimizing performance, I have a proven track record of delivering innovative and impactful software solutions. My leadership has been recognized for driving business outcomes, fostering collaboration, and instilling a culture of excellence across teams and organizations. Read my executive summary for a comprehensive overview.
Key CapabilitiesHarnessing the transformative potential of AI goes beyond technology-it requires a deep understanding of its impact on individuals, communities, and society as a whole. As a champion of Responsible AI, I prioritize ethical design, development, and implementation practices that are aligned with core values of fairness, accountability, and transparency. This approach ensures that AI solutions are inclusive, free of biases, and deliver equitable outcomes for all users. I actively work to integrate safeguards in the AI lifecycle by fostering collaboration between developers, data scientists, and policy experts, mitigating risks like bias amplification and unintended consequences. Whether implementing machine learning models to optimize processes or building AI-driven customer experiences, I focus on ensuring that every solution serves a greater social good while promoting trust and long-term sustainability.
As a highly experienced Agile Coach, I help organizations and teams unlock their full potential by guiding them through Agile transformations with empathy and precision. My role goes beyond introducing Agile practices like Scrum, Kanban, or SAFe-I focus on fostering a cultural shift toward continuous improvement, collaboration, and adaptability. I have successfully guided cross-functional teams through complex, large-scale Agile adoptions, enabling them to increase their velocity, improve time to market, and deliver higher-quality software. By mentoring Product Owners, Scrum Masters, and team members, I ensure that Agile principles are not just processes but a mindset that drives long-term productivity and innovation. My coaching philosophy is rooted in transparency and empowerment, where teams are encouraged to embrace change, reflect on outcomes, and continuously improve in a safe, supportive environment.
Data-driven decision-making is at the heart of successful software development, product management, and business strategy. By leveraging comprehensive analytics, user behavior tracking, and key performance indicators, I ensure that decisions are not based on assumptions but on actionable insights. My approach involves integrating data at every stage of the development lifecycle-from feature prioritization and user journey mapping to post-release performance monitoring. Whether implementing A/B testing frameworks, real-time dashboards, or predictive models, I enable teams to measure success objectively and iterate efficiently. Additionally, I emphasize the use of advanced analytics to uncover hidden patterns, detect anomalies, and anticipate future trends, ensuring that teams are always one step ahead of market demands. This analytical rigor fosters not only higher-quality outcomes but also informed risk management and resource allocation.
Innovation is the driving force behind transformative solutions and competitive advantage. Throughout my career, I have demonstrated a passion for innovation by introducing novel ideas, processes, and technologies that solve complex challenges and improve business outcomes. Whether leading R&D teams to develop proof-of-concept solutions or spearheading large-scale product rewrites, I combine creativity with technical expertise to identify opportunities for improvement and disruption. My innovative mindset has led to significant advancements in SaaS technology, system performance, and product design. By fostering a collaborative environment that encourages experimentation, prototyping, and rapid feedback loops, I empower teams to think beyond traditional constraints and deliver solutions that exceed customer expectations. I also stay at the forefront of emerging technologies, ensuring that innovation is a continuous, strategic effort embedded within the organization. See specific examples in my AI integration work.
The growth and development of team members are critical to organizational success, and I prioritize creating an environment that encourages continuous learning, mentorship, and professional growth. I design customized training programs, technical workshops, and cross-functional knowledge-sharing sessions to ensure that team members remain up-to-date with industry best practices and emerging technologies. My leadership philosophy is centered on providing individuals with opportunities to take on challenging assignments, broaden their skill sets, and pursue certifications or special projects that align with their personal and professional goals. By fostering a learning culture, I have seen teams evolve from good to exceptional, improving both individual performance and overall team output. I view education as a shared responsibility and actively seek feedback from team members to ensure that growth initiatives are tailored to meet their evolving needs.
Mentoring is not just a role-it's a responsibility I take seriously in supporting the well-being and professional growth of my colleagues and employees. My mentoring approach involves creating a safe, open environment where individuals can seek guidance, share challenges, and receive constructive feedback. I offer mentorship in various forms, including one-on-one coaching, peer learning, and technical guidance. Whether helping a junior developer navigate code reviews or supporting a mid-level manager through leadership challenges, I tailor my mentorship based on individual needs and aspirations. I believe that mentorship is a two-way street where both mentor and mentee grow through shared experiences. By promoting accountability, self-reflection, and goal-setting, I aim to develop future leaders who are confident, empowered, and equipped to make meaningful contributions to their teams and organizations.
Measuring the Success of Engineering TeamsAnchored in the DORA framework, we track deployment frequency and lead time for changes to measure how efficiently teams deliver software.
Using DORA's change failure rate and mean time to recovery (MTTR), alongside defect escape rate, we assess system resilience and release stability.
Retention, mentorship, and cross-team collaboration indicate team engagement, growth, and long-term sustainability.
Success means delivering customer value: tracking feature adoption, uptime (99.995%+), and tech debt reduction ensures engineering is aligned with business priorities.
Success isn't just about shipping code - it's about continuously improving delivery, reliability, and impact through a healthy, data-driven engineering culture.
Drawing on my experience as a Senior Engineering Leader, I apply a balanced, outcome-focused framework to measure what truly matters: delivery performance (DORA), system reliability, team health, and business impact. This includes a mix of hard metrics (CFR, MTTR, deployment frequency) and softer signals (team morale, product adoption, strategic alignment).
Velocity & Throughput - I measure my teams by story points completed per sprint and the cycle time from development to production. The goal is not raw speed, but sustainable, predictable delivery.
Lead Time for Changes - Defined as the time it takes from a code commit to deployment. Optimized through CI/CD automation and quality gates (SonarQube, Automated Tests, AI TestRigor).
Value Stream Mapping - In mature teams, I have used VSM to identify process bottlenecks, reduce handoffs, and improve delivery flow from idea to deployment.
Deployment Frequency - Frequent deployments reflect an efficient MLOps/DevOps culture and low friction in delivery pipelines. The teams I lead strive for steady, safe delivery.
Fast Feedback Loops - Automated testing, static analysis, and quality gates ensure issues are caught early without slowing iteration speed.
Reliable Pipelines - Minimal manual steps, stable builds, and fast deployments help my teams stay focused and productive without second-guessing the process.
Self-Service Environments - The engineering teams I build thrive when they can build, test, and deploy with confidence. A mature DevEX culture supports this through well-documented, reliable tooling.
Streamlined Tooling - Tool sprawl kills momentum. I favor unified, thoughtfully integrated toolchains that reduce context switching and cognitive overhead.
Psychological Safety - High-performing teams grow from environments where experimentation is encouraged, failure is safe, and learning is constant.
DevEX as a Strategic Lever - Developer experience is a continuous investment. Enhancing it pays dividends in delivery speed, product quality, team morale, and retention.
Change Failure Rate (CFR) - A key metric that tracks the percent of deployments causing production incidents. A lower CFR indicates strong test coverage, code reviews, and CI/CD quality.
Mean Time to Restore (MTTR) - I challenge teams to reduce recovery time. Leveraging Datadog, OpenSearch, and automated rollback strategies has improved MTTR in past roles.
Defect Escape Rate - Measures bugs found in production versus QA. A shift-left testing strategy helps minimize production issues and improves confidence in releases.
Developer Satisfaction & Retention - Tracked through 1:1s, engagement surveys, and attrition rates. I emphasize psychological safety to create an environment where engineers feel confident sharing ideas and taking ownership.
Mentorship & Growth - Measured by internal promotions, skill development, and contributions to technical decisions. I prioritize mentorship, knowledge-sharing, and continuous learning.
Cross-Team Collaboration - Strong alignment with Product, QA, Security, and MLOps/DevOps ensures that engineering efforts are integrated and strategic.
SPACE Alignment - I apply SPACE principles holistically, considering Satisfaction, Performance, Activity, Collaboration, and Efficiency to evaluate team productivity beyond just velocity.
Feature Adoption & Customer Feedback - Success is measured through Net Promoter Score (NPS), churn, and feature engagement. Are we building the right things--and do customers love them?.
Operational Uptime & SLAs - Uptime targets (99.995% or better) and performance improvements like reduced latency are core to engineering outcomes.
Technical Debt Reduction - Tracked through refactoring, migration work (such as monolith to microservices), and improvements to long-term platform scalability.
Ultimately, engineering success is not just about velocity. It is about delivering meaningful business outcomes through resilient systems, empowered teams, and a mindset of continuous improvement.
Learn
MLOps/DevOps Research and Assessment - DORA provides a standard set of MLOps/DevOps metrics used for evaluating process performance and maturity. These metrics provide information about how quickly MLOps/DevOps can respond to changes, the average time to deploy code, the frequency of iterations, and insight into failures.
Satisfaction, Performance, Activity, Communication/Collaboration, Efficiency - SPACE provides a broader, more holistic view, encompassing developer well-being, collaboration, and satisfaction, in addition to performance.
My Next RoleI seek leadership where I build/scale teams delivering business outcomes, not just velocity. Work at product-technology intersection, keeping strategy/execution in sync.
The right role includes:
Coaching, unblocking, growing talent. Cultures where ownership, innovation, and psychological safety thrive.
Real partnership with product/stakeholders. Not just alignment meetings that could have been Slack messages.
Greenfield/legacy to scalable systems. Build scalable, secure systems that solve real problems with purpose.
Embedding AI for DevEx/velocity. Not as an add-on, but as a core capability.
Autonomy to make decisions, take risks, and own the outcome with complete accountability.
Measurable improvements. Building systems and teams that measurably improve business outcomes.
Most importantly, I want to work with people who care. About the product, about their work, and about each other. Learn more about my personality insights and working style.
I practice Agile with a lowercase "a." This means I'm focused on the core values, not on a rigid set of rules. I keep what helps the team and let go of what doesn't. What works for one team might not work for another, and that's completely okay. As AI transforms software development, I want to use AI to question our established Agile routines and completely rethink how we deliver products. My goal isn't to simply add AI to our Agile practices but to use it as a fundamental part of evolving how we work, communicate, and ship.