Platform Engineer -Remote

Platform Engineer - Remote* ----  But be withing 50 miles of the following cities Wilmington, DE, Baltimore, MD, Charlotte, NC, Dallas, TX , New York, NY , Evansville, IN.

Contract: Long Term Short List –

Key Requirements

• Senior software/tech lead with 5–7+ years building enterprise web and cloud-native applications.
• * Strong hands-on development with TypeScript, Node.js, and Angular.
• * GraphQL expertise, including Apollo Client, Server, and Router (federation experience preferred).
• * Experience designing event-driven, microservices architectures (Kafka on AWS, BPMN/Camunda v8 a plus).
• * AWS cloud experience with modern platforms (Kubernetes, ECS, Lambda, API Gateway, RDS/DynamoDB).
• * Technical leadership & influence, able to set standards, create reusable patterns, guide vendors, and collaborate across teams. Location : Remote, with a preference for candidates based on the East Coast. Occasional travel is required Key Responsibilities
• * Act as a subject matter expert in platform best practices, standards, guidelines, and roadmaps.
• * Provide technical leadership and guidance to development teams utilizing the platform.
• * Create and maintain reusable artifacts, including standards, templates, guidelines, and architectural patterns.
• * Develop high-level technical architecture diagrams and guide vendors toward appropriate implementations.
• * Influence and support critical technical decisions, ensuring alignment with platform strategy and enterprise goals.
• * Communicate effectively and collaborate with engineering, product, and business stakeholders. What You Will Do
• * Lead the development and maintenance of complex web-based applications and enterprise systems using TypeScript, Angular, and Node.js.
• * Design and implement target-state architecture to modernize core lending platform services, leveraging:
• * GraphQL (Apollo Client, Server, and Router)
• * BPMN using Camunda v8
• * Event-driven architecture using Kafka on AWS
• * Demonstrate strong technical judgment and the courage to take well-reasoned positions, including principled pushback when appropriate.
• * Continuously improve code quality, scalability, security, and performance.
• * Produce clean, maintainable, and well-documented code following best practices and coding standards.
• * Write automated tests and perform thorough testing to deliver high-quality, production-ready software each sprint.
• * Collaborate closely with product owners, UX designers, and engineering peers through agile ceremonies, translating requirements into working solutions.
• * Partner with DevOps teams to deploy, monitor, and maintain applications in production.
• * Stay current with emerging technologies, industry trends, and development best practices.
• * Exhibit a bias for action, continuous learning, and comfort operating in a fast-paced environment. Skills, Experience & Education Required Qualifications
• * 5–7 years of experience as a software engineer with a strong foundation in software development principles.
• * Hands-on experience with TypeScript, Node.js, and Angular in enterprise environments.
• * Strong experience with GraphQL, including Apollo Router integrations.
• * Familiarity with AWS cloud services and infrastructure.
• * Experience with containerized and serverless architectures, including Kubernetes, ECS, Lambda, API Gateway, and related services.
• * Strong understanding of microservices architecture and cloud-native system design.
• * Excellent leadership and communication skills, with the ability to collaborate across cross-functional teams.
• * Comfort learning and deploying new technologies and tools. Preferred / Nice-to-Have Skills
• * Experience with event-driven systems using Kafka.
• * Exposure to data pipelines and transformation tools such as dbt.
• * Advanced proficiency in one or more languages: Java, Scala, Python, C#, or Snowflake scripting.
• * Experience with data platforms and databases, including PostgreSQL, Redshift, Snowflake, or Greenplum.
• * Proficiency with data querying and analytics tools (e.g., SQL, Python, R, SAS).
• * Background in mathematics, statistics, computer science, or data science.