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FIS

Forward Deployed Engineer

FIS

. Embed with bank architecture, infrastructure, and product teams to understand landscapes, pain points, and modernization goals .

Posted 9/18/2026full-timeRemote • New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable bank architecture and infrastructure, with a strong focus on data-intensive systems and integration patterns. Proven ability to translate business needs into technical requirements while fostering relationships with engineering and architecture leadership.

Highest-signal resume keywords
Go Programming LanguageKafkaAWSKubernetesFinancial Transaction Flows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Infrastructure as CodeEvent-Driven ArchitecturesMulti-Region DatabasesData PipelinesPerformance Testing
Soft Skills
Relationship BuildingProblem SolvingAdaptabilityOwnership of Outcomes
Tools & Technologies
GCPAzureOpenShiftDigital TwinsStablecoin Wallets
Industry Keywords
Banking TechnologyCore Banking SystemsSRE PrinciplesTechnical DemosClient Engagement

Tech Stack

Tools & technologies
AWSAzureGoogle Cloud PlatformJavaKafkaKubernetesOpenShiftRustGo

About the role

Key responsibilities & impact
  • Embed with bank architecture, infrastructure, and product teams to understand landscapes, pain points, and modernization goals
  • Translate business needs into technical requirements
  • Design future-state bank architecture to accelerate innovation
  • Build trusted relationships with bank engineering and architecture leadership
  • Translate deployment patterns, friction points, and unmet needs into product requirements and platform improvements
  • Develop proofs of concept and build bank use cases end to end, including digital twins, checking accounts, and stablecoin wallets
  • Connect upstream and downstream systems using clean, durable, production-grade integration patterns
  • Build and maintain high-performance data pipelines connecting existing bank systems
  • Run performance tests and validate scale, resilience, and failover behavior
  • Support sales through technical demos, architecture workshops, and platform education for prospective clients
  • Travel to client sites as needed, typically 25–50% depending on engagement phase

Requirements

What you’ll need
  • Proven track record shipping robust, scalable infrastructure in Go or similar systems languages (Rust, Java)
  • Deep experience with Kafka, concurrency patterns, event-driven architectures, and multi-region databases
  • Strong background in AWS, GCP, or Azure
  • Experience with SRE principles, infrastructure as code, Kubernetes/OpenShift
  • Experience building data-intensive systems and distributed data pipelines
  • Ability to integrate AI into workflow and familiarity with current LLM capabilities and agentic development patterns
  • 4+ years in a technical, customer-facing role such as Forward Deployed Engineer, Solutions Architect, Consultant, or Software Engineer
  • Preference for knowledge of financial transaction flows, core banking systems, or banking technology
  • Ability to thrive in ambiguity and create processes where none exist
  • Ownership of outcomes and ability to resolve and prevent production issues
  • Ability to switch between coding, architecture design, and leading workshops
  • Willingness to travel to client sites as needed
  • Candidates near FIS office locations in Sydney, Australia or Christchurch, New Zealand are expected to follow a hybrid schedule

Benefits

Comp & perks
  • Opportunities to make an impact in fintech
  • Personal and professional learning
  • Inclusive, diverse work environment
  • Resources to give back to your community
  • Competitive salary and benefits
  • Startup autonomy combined with FIS enterprise resources and scale
  • High autonomy and accountability within a small, senior team
  • Direct impact on core banking platforms used by Tier-1 global institutions
  • Work shipped directly to production environments at enterprise scale