Lead Software Platform Engineer – Foundational Platform & Interoperability

Truist Bank•Charlotte, NC

9h•Onsite

About The Position

The Lead Software Platform Engineer for Foundational Platform & Interoperability plays a critical role in designing and delivering the enterprise abstractions, automation frameworks, and declarative interoperability capabilities that power Truist’s next generation software delivery ecosystem. This role focuses on building reusable platform services, not one-off tooling—establishing the manifest driven, policy-as-code, orchestration, and lifecycle automation foundations that enable teams to integrate, deliver, and operate software with consistency, resilience, and auditability. The ideal candidate is a hands-on engineer who applies a software engineering mindset to platform problems, builds scalable internal products, and thrives in creating the connective tissue that makes large, federated engineering organizations feel unified. They will help establish and evolve core interoperability patterns—such as automated change controls, standardized integration contracts, golden-path onboarding, asset lifecycle intelligence, CI/CD abstraction layers, and cross-platform agentic automation—ensuring teams can build and ship with velocity while meeting regulatory expectations. This role is central to Truist’s modernization strategy: turning platform capabilities into consumable products, reducing cognitive load for engineers, and enabling a fully integrated ecosystem where services, systems, and teams interoperate through clear contracts, automated governance, and platform-led consistency. For this opportunity: Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.) This position is office-centric 5 days a week in our Charlotte, NC location.

Requirements

Bachelor's degree and eight years of experience in development or production support or an equivalent combination of education and work experience.
Deep specialized and/or broad functional knowledge.
Sound understanding of business and organizational strategies and processes.
Ability to interpret internal and external business challenges and recommend best practices.
Ability to lead complex projects.
Sophisticated analytical skills and the ability to solve complex technical and business problems.
Ability to influence others at senior levels to adopt a new perspective.

Nice To Haves

Master’s degree in Computer Science, Engineering, Data Science, or related field, with 10+ years of experience building cloudnative platforms, automation frameworks, or distributed systems at enterprise scale.
Strong hands-on programming experience in: Java (core platform services, integration frameworks) Python (automation, orchestration, agentic workflows) Node.js/TypeScript (API gateways, developer-facing services, UI integration)
Expertise in modern API design & interoperability standards, including: Designing and documenting RESTful and gRPC APIs using OpenAPI/Swagger and protobuf Consistent versioning, backward compatibility, and contract governance Authentication/authorization patterns (OAuth2.1/OIDC, JWT), policy enforcement (RBAC/ABAC), rate limiting, quotas, and zerotrust boundaries Strong API hygiene: idempotency, request validation, pagination, content negotiation, and RFC 7807 error standards
Advanced data access and persistence experience, including: Relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL systems (MongoDB, DynamoDB, Cosmos DB) Schema migration tooling (Flyway, Liquibase) Transaction modeling, indexing strategies, read/write separation, query optimization
Distributed caching patterns with Redis/Memcached (readthrough, writethrough/behind, cacheaside, TTL strategy, stampede prevention)
Deep expertise in messaging, streaming, and integration patterns, including: Kafka, RabbitMQ, SQS/SNS, Azure Service Bus Event-driven architecture, Sagas, Outbox patterns, Debezium CDC Schema governance using Schema Registry / Avro Semantic delivery guarantees (exactly-once, at-least-once)
Platform-grade resiliency & reliability engineering, including: Timeouts, retries (jittered backoff), circuit breakers, bulkheads, hedging, load shedding Libraries and mesh capabilities: Resilience4j, Polly, Envoy Multi-AZ/region patterns, graceful degradation, compensation workflows Defining SLIs/SLOs, contributing to error budgets, performing chaos testing/fault injection
Cloud, runtime, and platform orchestration expertise, including: OpenShift, Kubernetes, and container-native service design AWS event-driven and serverless patterns (Lambda, EventBridge, SNS/SQS) Multi-tenant platform architectures and service mesh–driven interoperability
Deep observability, telemetry, and operational analytics, including: Structured logging with correlation/trace IDs and PII-safe filtering Full-stack instrumentation with OpenTelemetry (metrics, traces, logs) Metrics pipelines using Prometheus/Grafana and RED/USE methodology Splunk and Dynatrace for distributed tracing, APM, log analytics, dashboards, alerting, and service health visualization SLO-driven operational dashboards and runbooks
Comprehensive automated testing expertise, including: Unit, integration (Testcontainers), contract (Pact), functional/UI (Playwright/Cypress) Mutation testing (PIT, Stryker) Performance testing (k6, Gatling, Locust) Security scanning (SAST/DAST/dependency scanning) Smoke/canary testing and deterministic CI pipelines Test data management (seeded data, anonymized snapshots)
Modern frontend engineering experience (preferred but not required), including: TypeScript and React (preferred), Angular, or Vue State management (Redux, Zustand, NgRx, Pinia) OAuth2.1/OIDC/PKCE flows and secure client-side API consumption Performance best practices: code splitting, lazy loading, Lighthouse budgets, WCAG 2.2 AA accessibility Component libraries (Storybook) and visual regression testing
Ability to operate as a platform engineer and interoperability architect, collaborating across platform, product, and security domains to define reusable abstractions, integration standards, and platform-led delivery patterns.

Responsibilities

Performs problem tracking, diagnosis and root-cause analysis, replication, troubleshooting, and resolution for highly complex issues.
In this capacity, oversees others who perform programming and debugging activities.
Responds to issues in a timely manner by receiving and investigating incidents or service tickets.
Provides technical consultation on extremely challenging or unusual situations.
May lead large, complex projects related to improving processes or support capabilities.
May engage and manage external vendors.
Interprets internal/external business challenges and recommends best practices.
Uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
Mentors less experienced teammates to build technical expertise.
May have people management responsibilities.

Benefits

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.
Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates.
Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.
Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

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