Platform Development Engineer in Test
Platform Development Engineer In Test Immediate need for a talented Platform Development Engineer in Test. This is a 12+ months contract opportunity with long-term potential and is located in US(Remote).
Pay Range:
$85- $90/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Platform Test Strategy
- Define and lead the test automation strategy for the Acquisition Platform, aligning with product and platform goals.
- Establish contract testing practices across PBC (Packaged Business Capability) producers and consumers to prevent breaking changes in distributed platform services
- Define service virtualization strategies for upstream and downstream dependencies to enable isolated testing when partner or internal systems are unavailable or under development
- Design and manage test data strategies including synthetic data generation, masking, and lifecycle management to meet financial services data sensitivity requirements
- Extend test coverage across platforms, browsers, devices, and responsive breakpoints to validate omnichannel delivery expectations
- Collaboration and Platform Alignment
- Partner closely with Product, Platform Engineering, Integration, Experience, and SRE leads to align quality expectations.
- Influence platform designs to improve testability, observability, and reliability.
- Guide teams in implementing shift-left testing and continuous quality practices.
AI-Assisted Quality Engineering:
Direct teams in using AI-assisted development techniques to accelerate test creation and maintenance.
Ensure AI tools are leveraged to improve coverage, generate test scenarios, identify gaps, and reduce manual effort.
Apply responsible AI practices with attention to security, data exposure, and operational risk.
Implementation and Enablement:
- Guide teams in building and operating automated test frameworks and pipelines.
- Establish standards, patterns, and tooling for quality engineering across the platform.
- Mentor engineers and promote a culture of quality, accountability, and continuous improvement.
- Quality Governance and Measurement
- Embed shift left security testing into CI/CD pipelines including SAST, DAST, dependency scanning, and secrets detection
- Design test scenarios that verify regulatory and compliance requirements are met across acquisition workflows
- Define and track test effectiveness metrics including coverage ratios, defect escape rates, automation ROI, and trend analysis to continuously improve the quality program
- Key Requirements and Technology Experience:
- Must have skills: - Software Development + Test Automation – Strong coding/development background with ability to build automation frameworks.
- Test Automation Strategy & Leadership – Experience designing and driving enterprise-level QA/QE strategy.
- AI-Assisted Testing & Development – Hands-on use of AI/GenAI to generate tests, improve coverage, and accelerate automation.
- Microservices & Contract Testing – Pact / Spring Cloud Contract, API testing, distributed systems.
- CI/CD + Cloud-Native Quality Engineering – Jenkins/GitHub Actions, AWS, security testing, quality gates, performance/resiliency testing.
- Test automation frameworks for APIs, UI, and distributed systems
- Non-functional testing including performance, resiliency, failover, and reliability validationAI-assisted testing techniques and prompt-driven automationCI/CD pipeline integration and automated quality gates
- Observability-driven testing using logs, metrics, and traces
- Cloud-native testing in containerized and event-driven architectures
- Strong communication skills and product-oriented mindset 7+ years of experience building or governing test data strategies in regulated environments
- Expertise with contract testing in distributed or microservices architectures
- Experience embedding security and accessibility testing into CI/CD pipelines
- Direct experience with Agile and product-centric delivery models
- Experience guiding and mentoring engineers on quality practices
- Enterprise-scale delivery experience with distributed teams
- Experience in financial services, insurance, or retirement services industry
- Experience with chaos engineering tools (e.g., AWS Fault Injection Simulator, Gremlin, LitmusChaos)
- Familiarity with BDD/TDD frameworks (e.g., Cucumber, SpecFlow) to align test scenarios with business language
- Cloud experience across AWS services and modern DevOps toolchains
- Experience integrating testing with observability and SRE practices