Lead Engineer Remote

Role: Lead Engineer

Location: Remote / prefer as close to EST as possible (CST farthest)

Duration: 9 Months

Must Have

AWS - Dynamo AWS - Lambda AWS - S3 AWS - SNS/SQS AWS - Redshift AWS - Athena Apache Iceberg Airflow/AWS Step Functions AWS - EMR AWS - Glue AWS - Quick Suite/Tableau AWS SageMaker Studio AWS Lake Formation Python Typscript JavaScript (ES6) React.js Grafana InfluxDB RBAC (Role-based Access Control) Machine Learning (ML) Artificial Intelligence (AI)

Job Description

Team: Technology, InfoSec & Infrastructure

Type: long term temporary role, full-time EST hours

Profile: 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.

Scenario: This role is instrumental is building out a massive data analytics dashboard where leaders can see all applications under development and in production - all data points. This role requires someone with demonstrated experience **please indicate these details in your submission comments.

Process: efficient submission directed as the role (vs broad exp) > .5 with manager > 1.0 – 1.5 with tech panel > Equipment Provisioning/Pre-employment Screens > start on a Tuesday, orientation 8:45-9:00 EST ensuring VNDLY profile is moved to ready to onboard no later than the Friday prior.

Technology:

AWS - Dynamo - 3 Years.

AWS - Lambda - 4 Years.

AWS - S3 - 4 Years.

AWS - SNS/SQS - 4 Years.

AWS - Redshift - 3 Years.

AWS - Athena - 3 Years.

Apache Iceberg - 3 Years.

Airflow/AWS Step Functions - 4 Years.

AWS - EMR - 3 Years.

AWS - Glue - 4 Years.

AWS - Quick Suite/Tableau - 3 Years.

AWS SageMaker Studio - 3 Years.

AWS Lake Formation - 3 Years.

Python - 4 Years.

Typscript - 4 Years.

JavaScript (ES6) - 4 Years.

React.js - 3 Years.

Grafana - 3 Years.

InfluxDB - 3 Years

RBAC (Role-based Access Control) - 4 Years

Machine Learning (ML) - 3 Years

Artificial Intelligence (AI) - 4 Years

About the Team

External Data Analytics Team

The Platform – External Data Analytics Team powers trusted, real-time exam analytics across the Client enterprise. We continuously enhance and operate scalable, secure analytics platforms that deliver reliable insights for readiness, confident test-day execution, and post-exam analysis.

Our mission is high stakes: ensure enterprise exam analytics are consistently available, accurate, and trusted. We operate at the intersection of engineering excellence, operational rigor, and stakeholder partnership—translating complex data systems into dependable decision-support tools for technology, operations, security, and client-facing teams.

We document thoroughly, automate intentionally, and design scale from day one. More than dashboard builders, we engineer the analytics backbone that supports the Client's most critical exam experiences and decision-making. We celebrate deep expertise in data engineering, observability, security, and platform reliability while delivering as a cohesive, high-performing team aligned to enterprise outcomes.

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.

In this role, you will:

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

About You

You have:

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 TypeScript 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 TypeScript) and Python, building APIs, event-driven services, and data processing components that power real-time and near–real-time analytics

Experience designing and maintaining reliable, scalable data ingestion, transformation, and orchestration pipelines to support operational and analytical workloads

Expertise in developing responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS

Experience implementing role-based access control (RBAC) and secure access patterns to ensure proper data governance and protection of sensitive information

Experience with asynchronous programming, event-driven architectures, and telemetry/event-streaming patterns

Hands-on experience with real-time data monitoring and analytics platforms such as Grafana and InfluxDB

Strong experience with cloud-based data stores and query engines such as Amazon Redshift, Athena, DynamoDB, and S3-based data lakes, including performance optimization and trend analysis.

Deep expertise in data modeling and transformation within AWS, leveraging services such as Glue, Redshift, Athena, EMR, Lambda, and S3 to build scalable, performant, and reliable analytical data foundations

Experience implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions within analytics platforms, including integrating predictive models, anomaly detection, trend analysis, or intelligent insights into production systems

Familiarity with ML lifecycle practices, model deployment, monitoring, and operationalization using platforms such as SageMaker Studio, Amazon Quick Suite or similar environments.

Deep knowledge of AWS services including Lambda, SNS, SQS, S3, Step Functions, IAM, KMS, and CloudWatch.

Experience provisioning and managing cloud infrastructure using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, and AWS CLI.

A strong focus on scalability, data integrity, reliability, and operational readiness.

Proven ability to mentor engineers and promote engineering excellence.

Strong analytical thinking, structured problem-solving, and effective communication skills.

Nice to Have:

Exposure to building or operating analytics capabilities within a SaaS platform environment, including multi-tenant architecture considerations

Familiarity with cell-based architecture patterns that support isolation, fault containment, horizontal scalability, and resilience at scale

Experience designing systems that support tenant-level data isolation, performance segmentation, and secure access controls

Understanding of platform-level observability and operational strategies in distributed, cell-based systems