Senior Backend Engineer (Python) at IT Labs

Bogotá, Bogota D.C., Colombia -

Full Time

Start Date

Immediate

Expiry Date

10 Feb, 26

Salary

0.0

Posted On

12 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, REST API, Docker, Kubernetes, GitOps, CI/CD, AWS, Software Architecture, Testing, Performance Optimization, Communication, Proactive Mindset, 3D Geometry Data, Infrastructure Security, PostgreSQL, AI/ML

Industry

Software Development

Description

We’re looking for a Senior Backend Engineer to join a deep-tech project developing AI-driven simulation software for advanced engineering and manufacturing industries. The goal of this project is to accelerate hardware innovation through intelligent, high-fidelity simulations — enabling engineers to design, optimize, and manufacture products faster and smarter across domains like aerospace, energy, and automotive. This role is ideal for a self-driven and proactive engineer who thrives in an evolving environment where not everything is structured or predefined. You’ll work with a small, talented team on complex technical challenges, take full ownership of your deliverables, and have the freedom to shape solutions from concept to deployment. Responsibilities: Design, develop, and maintain backend services using Python (FastAPI, REST API). Build, containerize, and orchestrate services with Docker and Kubernetes. Implement GitOps workflows and contribute to CI/CD pipelines. Collaborate closely with frontend, AI/ML, and cloud engineers to integrate components smoothly. Ensure solutions are secure, reliable, and scalable in AWS cloud environments. Write clean, maintainable, and well-tested code — and proactively suggest improvements across the stack. Expertise in Python, including FastAPI and REST API development. Hands-on experience with containerization (Docker) and orchestration (Kubernetes, Helm). Familiarity with GitOps, CI/CD, and cloud deployments (AWS preferred). Solid understanding of software architecture, testing, and performance optimization. Strong communication skills and ability to work directly with technical and non-technical stakeholders. A self-sufficient, proactive mindset — comfortable working in a fast-moving, less-structured startup environment where documentation is still evolving. Fluent in English. Nice to Have: Experience with 3D geometry data or computational simulation. Familiarity with infrastructure security and best practices in DevOps. Knowledge of PostgreSQL (not required but useful). Exposure to AI/ML or numerical simulation environments. Who You Are: Communicative and collaborative, able to explain ideas clearly. Proactive and curious, taking ownership from problem to solution. Flexible and adaptable — you see change as an opportunity, not a challenge. Passionate about solving complex engineering problems with modern technologies. Choose your contract: B2B/C2C, Unlimited working-from-anywhere policy, Referral Bonuses, Working on international projects Our values We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect. About IT Labs Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams and offices around the world - the US, the UK, the Netherlands, Argentina, Brazil, Serbia, and North Macedonia. We are constantly growing, and we would love for you to become part of our team!

Responsibilities

Design, develop, and maintain backend services using Python, and build, containerize, and orchestrate services with Docker and Kubernetes. Collaborate closely with frontend, AI/ML, and cloud engineers to ensure solutions are secure, reliable, and scalable in AWS cloud environments.