Job Description & Details
This is a heavy-duty backend and cloud engineering role centered around the Airvision Schedule Manager and core Network Planning operations. You will be building data streaming pipelines, migrating legacy systems to the cloud, and delivering robust APIs that keep the business running. If you enjoy untangling complex data flows and modernizing enterprise architecture, this one is worth your attention.
What You'll Actually Be Doing
Your day-to-day will revolve around designing modular, supportable architectures for data streaming and cloud transformations. You will be writing production-grade code for data APIs, collaborating closely with vendors and internal teammates, and building out automated testing and CI/CD pipelines. Expect to spend a solid chunk of your time troubleshooting technical bottlenecks, documenting your solutions with clear diagrams, and proactively communicating impacts and priorities to leadership.
The Core Tech Stack
You need deep, battle-tested experience with AWS and serverless architectures, alongside strong Java Full Stack and Python/Shell scripting capabilities. Since this is data-heavy, your SQL chops across RDS, Oracle, Postgres, or MS SQL Server must be rock-solid. They are also tossing AI Agentic Tools into the mix, so familiarity with modern AI-driven developer tooling will give you a serious edge here. Mobile exposure (iOS/Android) is a nice bonus given the broader ecosystem.
Interview Expectations
Expect the hiring team to grill you on your cloud architecture decisions, particularly how you handle scaling serverless data pipelines under heavy loads without blowing up AWS costs. They will likely ask you to walk through a time you troubleshot a complex database performance bottleneck in Postgres or Oracle and how you isolated the root cause. The interviewer is secretly listening for your ability to balance clean code practices with pragmatic business delivery.
Application Advice
Skip the generic corporate summary on your resume and put your AWS, Java, and database scaling metrics right at the top. Make sure to explicitly highlight your experience with CI/CD automation, API development, and cloud data migrations using the exact terminology from the job description to get past the automated screen.