Full Stack Engineer - Exempt

About the Role:
We are seeking a senior-level engineering leader to own the end-to-end development and maintenance of critical applications that power the businesses. This role combines hands-on technical leadership with delivery execution, platform resiliency, team development, and stakeholder engagement. The ideal candidate is a full-stack engineer who thrives in complex, regulated environments and can drive modern engineering practices to deliver secure, resilient, and scalable software.


What You'll Do (Key Responsibilities):

• Lead end-to-end software delivery: requirements, design, development, testing, deployment, and post-release support across multiple applications and services
• Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
• Modernize and maintain applications: reduce technical debt, improve code coverage, manage dependency hygiene, and execute structured refactoring plans
• Champion secure SDLC: ensure code quality, security scanning/remediation, secure configurations, and compliance in partnership with security and risk teams
• Drive DevOps excellence: automate CI/CD pipelines, environment provisioning, and release management with robust rollback strategies
• Architect for scale and resilience: design modular architectures, APIs/microservices, caching strategies, data integrations, and performance tuning
• Manage stakeholder relationships: collaborate with product owners, operations, business stakeholders, and cross-functional partner teams to prioritize and deliver outcomes
• Mentor and grow engineers: provide technical guidance, code reviews, career coaching, and cultivate a high-performing, inclusive engineering culture
• Govern change and risk: lead change advisory processes, manage regulatory/controls expectations, and maintain audit-ready documentation and evidence

• 10+ years of experience in software engineering with significant responsibility for production systems
• Proven experience owning both build (development) and run (maintenance/operations) for business-critical applications
• Strong background in full-stack engineering (e.g., Java, Node.js/TypeScript, Python; modern front-end frameworks such as Angular)
• Experience with API design, microservices, event-driven architectures, data integration, and messaging (e.g., Kafka, MQ)
• Hands-on with cloud platforms and containerization (e.g., AWS/Azure/GCP, Kubernetes, Docker), or private cloud equivalents
• Expertise in CI/CD tooling, testing strategies (unit, integration, performance), observability (logs, metrics, traces), and feature flagging
• Solid understanding of application security, secrets management, IAM, and vulnerability management
• Excellent communication, stakeholder management, and decision-making skills

• Exposure to AI/ML-enabled features, data pipelines, or analytics platforms
• Experience in data warehousing with Snowflake, orchestrating workflows in Airflow, and implementing modular analytics pipelines with dbt (including CI/CD for dbt, testing, and documentation)
• Familiarity with regulated financial environments and control frameworks is a plus

• 10+ years of experience in software engineering with significant responsibility for production systems
• Proven experience owning both build (development) and run (maintenance/operations) for business-critical applications
• Strong background in full-stack engineering (e.g., Java, Node.js/TypeScript, Python; modern front-end frameworks such as Angular)
• Experience with API design, microservices, event-driven architectures, data integration, and messaging (e.g., Kafka, MQ)
• Hands-on with cloud platforms and containerization (e.g., AWS/Azure/GCP, Kubernetes, Docker), or private cloud equivalents
• Expertise in CI/CD tooling, testing strategies (unit, integration, performance), observability (logs, metrics, traces), and feature flagging
• Solid understanding of application security, secrets management, IAM, and vulnerability management
• Excellent communication, stakeholder management, and decision-making skills

• Exposure to AI/ML-enabled features, data pipelines, or analytics platforms
• Experience in data warehousing with Snowflake, orchestrating workflows in Airflow, and implementing modular analytics pipelines with dbt (including CI/CD for dbt, testing, and documentation)
• Familiarity with regulated financial environments and control frameworks is a plus

• Java
• Angular
• Oracle
• SQL Server
• DevOps
• CI/CD

• Snowflake
• AI/ML enabled features

• Bachelor's degree

• Duration: 6-month contract opportunity
• Hybrid Work Model: 4 days onsite required weekly in Pittsburgh
• Schedule: Monday - Friday, 8:00AM - 5:00PM EST
• Rate Range: $70-75/hr. W2 (based on experience)