Latest news
An Ohio-based company is protecting first responders around the world
With support from JPMorganChase, Fire-Dex is providing protective equipment to firefighters in 100 countries and all 50 states.
Learn moreLatest news
Veteran’s Unconventional Path to Landing her Dream Job in Tech
U.S. Army Veteran Ashley Wigfall transitioned to a civilian role and charted her path to technologist through mentorship and skills training at the JPMorgan Chase tech hub in Plano, Texas.
Learn more
Blog
March 10, 2026
Since it began in 2022, DEV UP, JPMorganChase’s flagship technology conference for developers, has empowered thousands of JPMorganChase technologists to connect, learn, grow and apply new ideas that drive innovation for our businesses.
Welcoming technologists for the second time in our Hyderabad Tech Center, Vibha Jahagirdar* gave a sneak peek into some of the exciting topics attendees will dive into throughout the conference, including sessions on how the firm is using AI, cybersecurity, SDLC automation and cloud modernization to further drive innovation.
Vibha reminded us that DEV UP is a launch pad to better understand how technology is evolving. During this time of extraordinary technological change, it's critical to prioritize speed, resiliency, and removing friction as we continue to unlock AI’s potential. By fostering idea-sharing and connection, DEV UP inspires our technologists to turn insights into real business outcomes.
Before passing the microphone to DEV UP co-sponsors, Vibha encouraged us to have an AI-first mindset, collaborate deeply and engage in conversations that will challenge and inspire, reminding everyone that they will take the lessons they learned into their roles and deliver valuable impact.
*Vibha Jahagirdar is Head of Global Technology for India and Co-lead for Global Post-trade Technology at JPMorganChase.
Resiliency means more than just adapting to change - it’s a mindset that guides an organization towards success amid constant disruption. Gill Haus and Donald Raab* emphasized that it's not enough to just keep up–true resiliency demands a new approach, one where we fundamentally transform how we operate our Software Development Lifecycle (SDLC) to deliver quality at speed.
Agentic tools can usher in this new world if they’re used in the parts of the SDLC that typically slow an engineer down–automated testing and deployment. Using agentic tools helps us move quickly, reduce stress and get back to what we got into this field to do–shipping code!
Donald made it clear: writing code is easy. Deploying it is hard. A lack of automated testing and deployment can hinder delivery given the reliance on manual processes, shared regions, and reactive fixes. Gill and Donald underscored the importance of strong, automated testing to enable safe, frequent deployment at scale. Its mechanism increases confidence and speed to get features out the door, which then increases quality.
Gill inspired engineers to realize their agency and using tools to take automated testing to the next level. Donald urged the audience to rethink their approach, reskill and retool to build code that exceeds firm standards. They left the audience with wise words–learn the tools, champion the change and engage your teams to promote creative thinking and innovation.
*Gill Haus is Chief Information Officer at Chase, and Donald Raab is Head of Developer Advocacy and Practices for the Chief Technology Office at JPMorganChase.
Even the best engineers aren’t immune to choice paralysis. Innovation cycles have compressed, and new capabilities are constantly changing how software is built. DEV UP’s co executive sponsors Scot Baldry and Sri Shivananda* delivered a keynote on the firm's set of defined technology preferences. These preferences have been established in order to reduce friction and accelerate innovation so that our engineers are able to spend more time building and less time churning through an overwhelming amount of options available to engineers today.
It’s widely known that technology growth can come with risks – portfolios can grow faster than they can be rationalized, ownership can blur and engineers may resort to tribal knowledge to navigate the landscape.
As we advance strategically at scale, Scot and Sri urged attendees to focus on the foundational technology choices that determine speed, security and sustainability over time. Scot advocated that opinionated, “paved roads” at the base of the stack shorten decision cycles, deepen expertise and enable reuse of proven patterns. With fewer, curated defaults, teams can operate at higher layers, reduce failure points and avoid costly rewrites as systems evolve. “Less is more” still rings true.
Sri expanded the discussion by looking to AI enabled development. As AI systems help write code, propose architectures and recommend components, clear standards are essential. AI requires explicit instructions: which technologies are preferred, what data is approved, and which guardrails apply. A governed, digitized source of truth helps prevent AI from amplifying inconsistencies.
Scot and Sri advocate for a shared principle. Predictable delivery, consistent platforms and clear expectations allow both humans and AI to move faster without sacrificing reliability. Sustainable speed stems not from unlimited choice, but from deliberate design.
*Scot Baldry is Chief Technology Officer at JPMorganChase and Sri Shivananda is Head of Payments Technology at J.P. Morgan.
As AI evolves from a productivity aid to an active participant in software creation, organizations must rethink not just how code is written, but how the entire software development lifecycle (SDLC) operates. During DEV UP Hyderabad’s final keynote, James Whiting and Michael Payne* explored what it means to move from AI assisted development to a truly AI native SDLC.
The shift is already underway. Across the industry, engineers are moving rapidly from manual coding to agent driven development. As coding itself becomes increasingly automated, the focus of engineering moves upstream, from syntax to intent, from files to context and from manual controls to AI enforced governance.
They noted that at the center of this transformation is context engineering. Early AI adoption relied on prompt engineering. In an agentic world, that approach no longer scales, as modern AI systems require a rich, curated context. Done well, context engineering enables AI to produce accurate, compliant and high quality outcomes at enterprise scale.
Agent Skills are the differentiator. Rather than rely on ever-larger context windows, teams package expertise as structured, versioned skills that define what an agent can do, how it should do it, what tools and data it may use and how to validate results. This encapsulation speeds inference and improves reliability by replacing unstructured sprawl with reusable logic and guardrails.
They also discussed the importance of redesigning security to address the “lethal trifecta” which is the intersection of untrusted content, sensitive data and autonomous action. An AI-native SDLC embeds controls directly into the system, using managed configurations, observability, and sandboxing to ensure safety without slowing innovation.
The result is a reimagined SDLC where AI enforces controls by default, humans intervene by exception, and delivery accelerates without compromising quality or security. Engineers remain firmly in the driver’s seat, focused on domain expertise, problem framing and AI supervision.
*James Whiting is Head of Engineering Services and Platforms for the Chief Technology Office and Michael Payne is Lead-Modern Engineering for the Global Technology Strategy, Innovation and Partnerships team at JPMorganChase.
Resiliency is more than keeping pace with change. It shapes how we build, operate, and support technology under pressure. Presenters Lomesh Seta and Saptarshi Datta in Payments Technology demonstrated resiliency in action at the DEV UP expo. To avoid blind spots and response issues that come with fragmented monitoring, their team built the Payments Tech Command Center (PTCC) powered by agentic AI; not just a new platform but a new way of working that brings clarity, speed and confidence to incident management.
PTCC shifts insights from application centric monitoring to flow-based observability. It normalizes and correlates signals across tools into a single, holistic view of the estate, surfacing what matters when it matters. Agentic AI Orchestration enables autonomous workflows for incident response with human oversight at every step, blending precision automation with accountability and trust.
What does that look like in practice? Real-time visibility on payment flows and actuator health. A focused incident view that prioritizes impact and risk. Executive dashboards that elevate insights into decisions. Standardized communications and an integrated assistant to streamline self-service, ticketing and escalation. Dynamic recovery playbooks and confidence-backed recommendations that help engineers act quickly and safely. Together, these capabilities turn noise into signal and reaction into anticipation. Most importantly, PTCC is a people story. Cross-functional teams rallied around a shared outcome, crafting an operating model for incident directors and command center engineers with clear roles and workflows. Targeted training and scenario-based exercises empowered support teams to hit the ground running, making the platform a catalyst for growth, not just a set of screens.
PTCC will continue to expand, deepening its correlation engine and augmenting observability with richer business and technical context. The goal is simple: stronger stability, faster recovery, smarter engagement and a client experience that reflects the firm’s innovative spirit. Resiliency is a mindset. Agentic tools are an accelerant. PTCC turns both into action. Learn the tools, champion the change and engage your teams to continue to deliver with excellence and pride.
