Lead Engineer, Digital Front Door AI will serve as the technical engineering leader for AI capabilities delivered through the Digital Front Door, owning key engineering and architectural decisions and helping shape the technical vision and roadmap.
Responsibilities
Own the technical engineering direction, and key technology decisions for Digital Front Door AI capabilities.
Lead the design, development, integration, deployment, and scaling of enterprise AI applications, agents, copilots, and automation supporting HR and employee experiences.
Maintain a strong hands-on engineering presence, developing and reviewing code, prototypes, integrations, technical enablers, and solution designs.
Establish reusable and modular engineering patterns that enable AI capabilities to scale across use cases ensuring quality, maintainability, and speed of delivery.
Drive technical solution evaluation and selection, balancing business requirements, architecture standards, scalability, security, cost, performance, and long-term strategic fit.
A Lead Infrastructure Engineer focused on delivering infrastructure and performance excellence, using deep knowledge of software, applications, and technical processes to modernize technology processes.
Responsibilities
Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting.
Uses enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation.
Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with platforms to architect and implement changes.
Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions.
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options.
Requirements
Formal training or certification on infrastructure engineering concepts
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability using Axway API Management Platform.
Responsibilities
Act as a Subject Matter Expert and collaborate with teams to deliver effective integration solutions
Own technical decisions related to API integration design, development, configuration, and implementation
Collaborate with multiple teams and contribute to key integration and architecture decisions
Provide solutions to complex integration challenges across immediate and cross-functional teams
Design, develop, configure, and maintain API integrations using Axway API Management solutions
You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.
Responsibilities
Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations
Demonstrate an AI-first mindset by building hands-on agentic automation for operational workflows (e.g., triage, runbook execution, incident summarization, change validation) with appropriate controls and monitoring
Requirements
Formal training or certification on infrastructure engineering concepts
Nice to have: Implementation of CI/CD pipelines, code reviews using GitHub, and process automation with Python and scripting
Nice to have: Hands-on experience and certifications in AWS, Azure, GCP, or other cloud environments
Design and deliver trusted market‑leading technology products in a secure, stable, and scalable way as part of an agile team.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Maintaining and managing a large scale infrastructure of servers, network and databases hosting the API Gateway Platforms
Applies technical knowledge and problem‑solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
Finding opportunity for converting operational problems into a software solution
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems
Requirements
Formal training or certification on software engineering concepts
A project leadership role focused on Pega ERP projects, responsible for scope definition, resource allocation, and leading development teams within Agile environments.
Responsibilities
Define project objectives and scope in alignment with business goals
Coordinate sprint planning and meetings with technical teams and stakeholders
Evaluate project deliverables and drive initiatives to adopt new methodologies
Identify and mitigate risks proactively while working with quality assurance
Develop project estimates, monitor budget, and optimize resource allocation
Lead a small engineering team to design, build, and deliver the planning and execution layer of an AI platform, driving roadmap, architecture, and production operations.
Compensation
Competitive Compensation: Tailored to your experience and skill set.
Responsibilities
Own the roadmap and delivery
Evolve the platform architecture
Advance planning and orchestration
Deliver reliable, observable execution
Lead a small development team
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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