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Tier-1 employer, mid-level AI/software role, and metro hybrid location attracts many qualified applicants.
Software, cloud, and ML skills are broadly transferable across industries though domain knowledge helps.
Moderate technical filters (ML, cloud, microservices, containers) but no explicit years requirement.
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Support design, development, and testing of software modules and cloud-based tools involving micro-services, APIs, telemetry data, and ML/AI algorithms.
Assist with prototyping multi-vendor infrastructure, software deployment, integration, automation, and maintenance of technical documentation.
Contribute to code writing, debugging, refactoring, and review within an Agile environment, ensuring delivery of software components collaboratively.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Moderate level experience in software development, micro-services, RESTful APIs, Agile/Lean methodologies, and full software delivery lifecycle tools.
Developing understanding of cloud architectures and services (AWS, GCP, Azure) and proficiency in programming languages such as C/C++, C#, Java, JavaScript, Python, Node.js.
Work Experience Required: Moderate level experience working with geo-distributed teams across innovation to production phases.
Has moderate experience working with multi-stakeholder, geo-distributed teams through all project phases ensuring high quality and performance.
Capable of working on software development involving micro-services, REST APIs, cloud infrastructure, container runtime (Kubernetes, Docker), and applying ML/AI algorithms to large datasets.
Comfortable working in Agile/Lean processes incorporating CI/CD, test-driven development, and automation within fast-paced, dynamic environments.