Overview

We are seeking Full-Stack Platform Engineer, with a Tinkerer mindset, who can build high-quality software across the stack while also owning the infrastructure, pipelines, and tooling that accelerate our engineering teams. This role blends hands-on development, cloud architecture, ETL pipeline engineering, and platform automation. The ideal candidate is someone who loves solving problems across languages, systems, and environments—and has strong experience in AWS, Terraform, CI/CD (CloudBees/Jenkins), and more.

Responsibilities

This engineer will design, build, and maintain developer tooling, internal services, automated workflows, ETL/ELT pipelines, and more. They will work across multiple languages, cloud-native components, front-end admin tools, and infrastructure-as-code.

This is a hybrid role that blends:

• Software Engineering (API development, tooling, dashboards, automation scripts)
• Data Engineering / ETL (AWS-native ingestion pipelines, transformations, orchestration)
• Infrastructure & DevOps (Terraform, CI/CD, environment orchestration)
• Developer Experience (improving speed, reliability, and ease of internal development)

We need someone who is a curious builder, a tinkerer, and someone capable of jumping into any system (front-end, back-end, infrastructure, or data) and making it better.

Additional contributions: 

• Build and maintain internal full-stack tools, admin interfaces, services, and automation scripts
• Develop reusable frameworks, libraries, and SDKs that support internal teams
• Create efficient back-end APIs, microservices, and event-driven components
• Build, operate, and optimize AWS-native ETL pipeline
• Work with AWS Glue, Lambda, Step Functions, S3, Kinesis, EventBridge, DynamoDB, RDS, Athena
• Implement data quality checks, schema validation, monitoring, and alerting
• Tune pipeline performance and cost efficiency
• Author and maintain Terraform modules for AWS-based systems
• Work with CloudBees/Jenkins to create, maintain, and optimize CI/CD pipelines
• Implement environment automation, deployment workflows, and development environments
• Manage logging, monitoring, and distributed system health
• Build tools that improve local dev, testing, release automation, and operational visibility
• Reduce friction across engineering teams by improving processes and internal systems
• Document systems, train others on tooling, and promote engineering best practices
• Prototype new internal tools and evaluate new technologies
• Thrive in ambiguous environments and figure things out independently
• Enjoy tinkering, solving problems end-to-end, and connecting systems together
• Stay hands-on with a wide variety of technologies

Qualifications

Required: 

• 6+ years of experience in software engineering, data engineering, platform engineering, or similar hybrid roles
• B.S. in technical field
• U.S Citizenship
• Strong proficiency in at least two programming languages (Python, Node.js, Go, Java, etc.)
• Experience developing REST APIs, backend services, and automation tools
• Comfortable with moderate front-end development (React, Vue, Angular, or similar)
• Experience building, maintaining, and monitoring ETL/ELT pipelines in AWS
• Hands-on expertise with:
  • AWS Glue ETL, Lambda, Step Functions
  • S3 (object lifecycle, notifications, best practices)
  • EventBridge, Kinesis, SNS/SQS
  • RDS/PostgreSQL, DynamoDB, RedShift
  • Apache Airflow, Spark, etc.
• Understanding of AWS networking, IAM, and security best practices
• Ability to reason about distributed systems, scalability, and fault tolerance
• Experience with Docker and container workflow
• Strong experience with:
  • CloudBees/Jenkins
  • Terraform
  • Artifacts, versioning, environment promotion 
• Experience automating deployments, testing pipelines, and environment provisioning
• Natural tinkerer who enjoys exploring new tools and building prototypes
• Comfortable working independently and owning projects start-to-finish
• High curiosity, strong debugging skills, and willingness to dive into unfamiliar systems
• Collaborative and communicative when working with developers, data engineers, and leadershi

Preferred (Nice to have):

• Experience with serverless architectures
• Kubernetes/EKS familiarity
• Experience with observability platforms (Grafana, CloudWatch, etc)
• Experience mentoring junior developers or influencing engineering practices