Lead Engineer, Systems Engineer, Software Engineer

About the Opportunity

As a Lead Engineer, you will shape the technical direction, reliability, and scalability of enterprise analytics platforms that support mission‑critical exam operations.

You will lead the design of resilient data architectures, real‑time telemetry pipelines, and high‑performance reporting systems that must perform flawlessly during peak exam delivery.

You bring strong cloud full‑stack engineering experience, with deep knowledge across backend services, data platforms, APIs, and front‑end analytics applications.

You are comfortable designing and operating cloud‑native solutions end to end—from data ingestion and transformation to secure service layers and intuitive dashboard experiences.

You will drive engineering excellence by establishing sound architectural patterns, automation standards, and observability practices that reduce risk and improve operational readiness.

This role requires expertise in scalable cloud infrastructure, performance optimization, data integrity, secure system design, and platform reliability.

As a technical anchor for the team, you mentor engineers, guide complex problem‑solving efforts, and elevate development standards.

You clearly communicate architectural tradeoffs and platform strategy to cross‑functional stakeholders, aligning engineering decisions with operational and business priorities.

This is a high‑impact leadership role for an engineer who thrives in high‑stakes environments and is motivated to build secure, scalable, and resilient systems that enable confident, real‑time decision‑making across the enterprise.

• Software Solutioning & Design (10%)
  • Develop and maintain a thorough understanding of the customer’s business processes and operations
  • Work closely with Solutions Architect and other Lead Engineers evaluating feature requests, providing level‑of‑effort estimates and contributing to sprint planning
  • Conduct and participate in peer code and design reviews
• Design, Architecture & Implementation (60%)
  • Shape the technical direction, scalability, and reliability of enterprise analytics platforms supporting mission‑critical exam operations
  • Design, implement, and maintain resilient cloud‑native data architectures, real‑time telemetry pipelines, APIs, and high‑performance reporting systems
  • Build secure, scalable full‑stack solutions spanning backend services, data platforms, and front‑end analytics applications
  • Lead end‑to‑end solution design—from data ingestion and transformation to secure service layers and intuitive dashboard experiences
  • Establish and enforce strong architectural patterns, automation standards, and observability practices
  • Engineer and maintain systems with a focus on continued scalability, data integrity, high availability, and long‑term reliability
  • Embed monitoring, telemetry, and operational readiness into all platform components
• Technical Leadership & Engineering Excellence (20%)
  • Serve as a technical anchor for the team, guiding complex design decisions and large‑scale problem‑solving efforts
  • Mentor engineers and elevate development standards across cloud, data, and full‑stack domains
  • Clearly communicate architectural tradeoffs, technical strategy, and platform decisions to cross‑functional stakeholders
  • Promote best practices in secure system design, automation, performance optimization, and resilient engineering
• Team Operations & Cross‑Functional Collaboration (10%)
  • Partner with product, operations, and security stakeholders to align technical solutions with business and operational priorities
  • Support high‑stakes exam readiness through proactive risk identification, capacity planning, and reliability reviews
  • Foster a culture of ownership, documentation, accountability, and continuous improvement

• 7+ years of experience designing, building, and operating scalable, cloud‑native applications, data pipelines, and analytics platforms in high‑availability environments
• 3+ years of experience developing modern front‑end applications using Type Script and React
  , with a strong focus on analytics dashboards and data‑driven interfaces
• Strong hands‑on experience with backend technologies such as Node.js (preferably with…