Lead Software Engineer - Go / Kubernetes / Python - Public Cloud Engineering
Headquartered in New York City, JPMorgan Chase is the largest bank in the United States.
In this role, you will work with Go, Python, Java, Kubernetes, Terraform, and public cloud providers like AWS, Azure, or GCP. You will help build a new Identity and Access Management (IAM) team within JPMorgan's Public Cloud Engineering organization. As a Lead, you will guide architecture, mentor engineers, and drive platform services for cloud infrastructure.
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About Team
We are expanding our Public Cloud Engineering organization into EMEA region by establishing a new Identity and Access Management (IAM) team to better serve our customers and strengthen collaboration across our global engineering teams.
This is a unique opportunity to join at the ground level and help shape a new team, it's technical direction, engineering culture, and operational excellence. The team will own critical Identity domains that supports our platform across multiple public cloud infrastructure such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
We foster a culture of continuous improvement, growth, and talent development by investing in strong engineering practices, hands-on delivery, coaching and cross-team collaboration. We believe great platforms are built by empowered teams that learn, innovate, and continuously raise bar for technical excellence.
As a Lead Software Engineer at JPMorgranChase within Public Cloud Engineering, you are an integral part of an agile team that works to enhance, build, and deliver trusted technology products in a secure, stable, and scalable way. As a core technical contributor, you help set architecture direction, guide system-level design, and drive engineering excellence as tools evolve and standards remain high.
Job Responsibilities
Lead the design and implementation of platform services and infrastructure with an emphasis on architecture, integration patterns, and system reliability
Develop, review, debug, and maintain secure, high-quality production code, applying engineering judgment to ensure it meets our standards regardless of whether it originates from you, a teammate, or an approved artificial intelligence tool
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability across applications and systems
Lead design reviews and architecture discussions to evaluate solutions, strengthen technical quality, and support scalable delivery
Partner with platform architecture, trust and authorization teams, and downstream IAM consumers to land coherent designs across organizational seams
Lead communities of practice across Software Engineering to increase awareness and adoption of new and leading-edge technologies
Mentoring and coaching engineers through technical guidance
Foster a team culture of diversity, opportunity, inclusion, respect, continuous improvement, and shared learning
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and advanced applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Experience with Identity and Access Management platforms, role-based access control, or entitlement governance at scale
Advanced proficiency in one or more programming languages, frameworks, or platforms such as Go, Python, Java, Kubernetes or Terraform
Practical cloud-native experience building and operating services on at least one public cloud provider, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Proficiency in automation and continuous delivery methods
Advanced understanding of agile methodologies such as continuous integration and continuous delivery, application resiliency, and security
Ability to evaluate technical solutions with a customer-focused mindset and understand how engineering decisions impact users and business outcomes
Strong communication skills with the ability to adapt messages for technical and non-technical audiences
Responsible use of approved artificial intelligence tooling, with critical judgement to validate quality, correctness, security, and performance
Preferred Qualifications, Capabilities, and Skills
Experience working in financial services or another highly regulated technology environment with formal audit and control posture
Experience contributing to public cloud platform services, developer platforms, or shared engineering capabilities
Familiarity with responsible artificial intelligence use in engineering workflows, including secure handling of inputs and outputs
Experience improving developer experience, platform reliability, or operational efficiency at scale