Software Engineer – DevOps Automation

HARMAN

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4 days ago

Key Responsibilities

Scripting Solutions: Design, engineer, and optimize highly scalable automation scripts tailored for complex embedded camera and vision systems.
Pipeline Optimization: Build and scale continuous delivery pipelines (CI/CD) to ensure rapid, dependable multi-tiered compilation cycles.
Embedded Integration: Assist with structural profiling, debugging, and integration benchmarks across target systems like Linux, QNX, and Android.
Automated Validation: Construct, integrate, and review automated test suites to enforce strict functional correctness and verification milestones.
Platform Troubleshooting: Isolate runtime discrepancies, build blockers, and orchestration failures across local and cloud configurations.
Technical Documentation: Write down comprehensive framework flowcharts, tooling schemas, and test strategies to sustain architectural maintainability.

Academic Foundation: Bachelor’s or Master’s degree in Computer Science Engineering, Electronics & Communication, or adjacent technical domains.
OS Environments: Grounded understanding of embedded software platforms, uniquely mapping architecture patterns on Linux, QNX, or Android systems.
Scripting Commands: High proficiency in scripting languages, especially Python, for structural automation tool design.
CI/CD & Infrastructure: Practical familiarity orchestrating tools like GitLab CI/CD, alongside basic exposure to cloud environments like AWS or GCP.
Configuration Frameworks: Foundational knowledge of version tracking layouts using Git, code integration paths, and design principles.
Hands-on test framework exposure running Robot Framework, Pytest, or GTest.
Familiarity collaborating within structured Agile, Scrum, or Scaled Agile Framework (SAFe) delivery setups.
Familiarity with automotive vision pipelines, ADAS subsystems, or multi-media infotainment modules.
Understanding or integration experiments utilizing Generative AI toolsets inside CI/CD or test automation strategies.

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