Development Engineer

Role Summary

The Development Engineer I builds, enhances, and supports applications and system integrations used by Post Production Engineering teams. This role contributes directly to the reliability, efficiency, and scalability of engineering workflows that underpin post‑production infrastructure and tooling in a fast‑paced, production‑driven environment.

• End‑to‑end feature and service ownership:
  Design, build, test, deploy, and support well‑scoped applications and services used by Post Production Engineering teams, delivering production‑ready solutions with minimal supervision.
• Engineering collaboration:
  Work closely with senior developers, engineering stakeholders, and product owners to design and implement applications and system integrations that support post‑production engineering workflows and tooling.
• Operational support and troubleshooting:
  Diagnose, troubleshoot, and resolve application and integration defects across development and production environments, ensuring system reliability and minimal disruption to engineering operations.
• Sustained product maintenance:
  Perform ongoing maintenance, enhancements, and incremental improvements to existing services, addressing technical debt while maintaining stability in production environments.
• Operational excellence (Dev Ops mindset):
  Participate in incident response and root‑cause analysis; improve observability through logging, metrics, and monitoring; and create or maintain runbooks to reduce recurring issues and accelerate resolution.
• Cloud‑first delivery:
  Build and operate services in hybrid environments (e.g., AWS and on‑prem/vCenter), applying secure, scalable, and cost‑aware design patterns aligned with Post Production Engineering infrastructure standards.
• Code quality and maintainability:
  Write clear, testable, and maintainable code; participate in code reviews; and refactor existing modules as needed to improve reliability and long‑term maintainability without disrupting production workflows.
• Documentation and knowledge sharing:
  Create and maintain application overviews, technical documentation, and knowledge articles to support onboarding, operational continuity, and cross‑team understanding.

Working knowledge of modern SDLC practices, including agile methodologies, source control using Git, and CI/CD pipelines. Ability to contribute effectively within structured development, testing, release, and support workflows.

Experience consuming and integrating RESTful APIs, handling JSON data, and applying core HTTP concepts (methods, status codes, authentication patterns) in distributed systems.

Demonstrated ability to troubleshoot applications and services by reading stack traces, analyzing logs, using debugging tools, and identifying root causes across development and production environments.

Experience performing basic CRUD operations using SQL and/or No

SQL databases, with an understanding of data modeling fundamentals. Familiarity with messaging or queue‑based systems (e.g., Rabbit

MQ) is beneficial.

Practical experience working with cloud platforms (AWS preferred) and exposure to containerization and infrastructure‑as‑code concepts (e.g., Docker, basic IaC patterns), particularly in hybrid or production‑supported environments.

Comfort working in environments that support live or near‑real‑time production workflows, with an understanding of uptime, reliability, and operational impact.

Experience collaborating across engineering, infrastructure, and vendor teams to diagnose issues, implement integrations, or improve operational workflows.

Ability to contribute to standardized engineering practices, including reusable templates, pipeline improvements, runbooks, and technical documentation that improve team efficiency and consistency.

Willingness to maintain a flexible schedule in support of production changes, perform a variety of technical tasks with minimal supervision, actively listen to stakeholder needs, and communicate solutions clearly.