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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Development Engineer in Test - **Company:** Pyramid Consulting Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $176,800.0 - $187,200.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Cloud Engineering, Code Coverage, Continuous Integration, Distributed Systems, Reliability Engineering, Site Reliability Engineering Practices, Service Virtualization, Software Testing Automation Framework, Test Data, Performance Testing, Spring Cloud, Specflow, Data Management, Cucumber (Software), Static Application Security Testing, Microservices, Data Generation, Dynamic Application Security Testing - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/d4f1c036-5ed8-4d69-83a9-1d082ac927d0 ## About the Role * Must have skills: - Test Automation Strategy & Framework Leadership * AI-assisted testing and automation * Contract Testing & Microservices Architecture- Pact, Spring Cloud Contract * Test Data Management & Service Virtualization * CI/CD, Security Testing & Quality Gates- SAST, DAST * Cloud-Native & Non-Functional Testing * Test automation frameworks for APIs, UI, and distributed systems * Nonfunctional testing including performance, resiliency, failover, and reliability validation * AIassisted testing techniques and promptdriven automation * CI/CD pipeline integration and automated quality gates * Observabilitydriven testing using logs, metrics, and traces * Cloudnative testing in containerized and eventdriven architectures * Strong communication skills and productoriented 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 productcentric delivery models * Experience guiding and mentoring engineers on quality practices * Enterprisescale 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 ## Description * 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 shiftleft testing and continuous quality practices. * AIAssisted Quality Engineering * Direct teams in using AIassisted 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