Python Engineer

Job not on LinkedIn

November 13

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ITtude

Get to know us. We are a synergy driven team of IT specialists and Top-Notch recruiters that are constantly pushing boundaries of technologies to deliver the most innovative IT services and HR solutions. We shake the status quo to let our clients grow and reach new heights.Our mission is providing highly qualifiedpersonnel that matches the most demanding employers’ needs in a timely manner. Our areas of expertise primarily include cleared IT personnel with a security certificate in accordance to NATO standards as well as a whole set of arrays of non-cleared IT personnel capable to adjust to the fast-paced turbulent business environment.

2 - 10 employees

📋 Description

• Designing, developing, and maintaining scalable distributed backend systems and APIs in Python. • Participating in the full software development lifecycle, from requirements analysis to production deployment. • Implementing CI/CD pipelines and managing containerized applications using Docker, Helm, and Kubernetes (on-premise and cloud). • Deploying and maintaining services across AWS (primary), GCP, and Azure environments. • Automating infrastructure and deployment workflows using Terraform and GitHub Actions. • Collaborating with cross-functional teams in a GitHub-based workflow, following branching strategies and code review best practices. • Integrating AI/ML services, vector databases, and data-driven components into existing systems. • Ensuring performance, scalability, and security of deployed solutions through testing and monitoring. • Contributing to system documentation, technical standards, and continuous improvement initiatives. • Working closely with product and DevOps teams in a fast-paced, agile-driven development environment.

🎯 Requirements

• Proven track record delivering scalable, distributed systems under tight timelines • 5+ years of hands-on experience with Python, focusing on backend and API development • Familiarity with GitHub workflows, CI/CD pipelines, and Kubernetes (on-prem and cloud) deployment processes • Experience with cloud environments – primarily AWS, but also GCP and Azure • Strong proficiency in GitHub-based development workflows, including multiple branch strategies and collaboration within distributed teams • Proven skills in automating deployments using GitHub Actions, Docker containers, and Helm charts • Hands-on experience with Infrastructure as Code (IaC) using Terraform • Comfort working in fast-paced, agile-driven environments • Familiarity with AI/ML service deployments, vector databases, and related modern data technologies

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