DevOps Engineer

JOB DESCRIPTION

DevOps Engineer

ABOUT GOJA

GOJA is a multi-brand e-commerce company selling consumer products across Amazon, TikTok Shop, Shopify, and international marketplaces. Our technology team in Cochabamba builds and runs the platform behind all of it: the single source of truth for catalog, orders, inventory, advertising, and finance, and, on top of it, an AI layer that learns, predicts, recommends, and acts on live business data.

Most tech jobs in Bolivia are about QA or maintaining someone else's code. This is not one of them. We build frontier technology here, for a business that runs on it every day.

We are looking for a DevOps Engineer who wants more than keeping servers up. You will own the cloud infrastructure, CI/CD, and observability that our data pipelines, internal applications, and AI agents run on and make it faster, safer, and cheaper for the whole team to ship.

THE ROLE

As a DevOps Engineer, you will own the AWS infrastructure behind our data and product platform: the environments where Python services, Airflow pipelines, PostgreSQL warehouses, and LLM-based agents run in production. You will build CI/CD pipelines, define infrastructure as code, set up monitoring and alerting, and work directly with software and data engineers to make deployments boring and reliable.

You will work close to the business. A slow pipeline or a failed deployment is felt the same day by e-commerce, supply chain, and finance teams, and when the platform hums, that is felt too.

WHAT YOU WILL BUILD

• Our AWS infrastructure: compute, containers, networking, storage, and databases, run with reliability, security, and cost in mind.
• CI/CD pipelines that take code from pull request to production with automated tests, checks, and safe rollbacks.
• Infrastructure as code (Terraform or equivalent) so every environment is reproducible, reviewed, and versioned in Git.
• Container builds and deployments for Python services, Airflow workloads, and AI agent runtimes, including images, orchestration, configuration, and secrets.
• Monitoring, logging, and alerting that catch incidents early, plus the incident response and post-mortems that follow.
• Security hardening across AWS accounts: IAM, network boundaries, encryption, backups, and disaster recovery.
• Cloud cost control: right-sized resources and zero waste, without giving up performance.
• Automation in Python and Bash that turns toil into engineering time.
• Deployment designs, performance tuning, and production troubleshooting with software and data engineers.
• Architecture docs, runbooks, standard operating procedures and junior engineers who learn DevOps from you.
• Data quality validation and automated testing so pipeline and model outputs can be trusted.
• Fixes for the integration problems third-party APIs throw at you.
• Documentation of pipelines, data models, schemas, features, and model behavior.
• End-to-end data and AI solutions with analysts, software engineers, and business stakeholders.

WHAT YOU BRING

• A degree in Computer Science, Systems Engineering, or a related field.
• Production ownership: 3 years in DevOps, SRE, cloud, or platform engineering, running production systems end to end: design, provisioning, monitoring, incident response, iteration.
• Cloud and infrastructure as code: Hands-on AWS in production (EC2, ECS or EKS, RDS, S3, Lambda, IAM, VPC, CloudWatch) and Terraform or equivalent, in Git-based workflows with code review.
• Delivery and automation: CI/CD pipelines you have built and maintained (GitHub Actions, Jenkins, GitLab CI, or similar), Docker in production with ECS or Kubernetes, and strong scripting in Python and Bash.
• Keeping it running: Monitoring and observability (CloudWatch, Prometheus, Grafana, ELK, or equivalent), Linux administration, networking (DNS, VPN, load balancing, firewalls), security fundamentals, and the debugging instinct to find the real cause under pressure.
• Communication: Excellent written and spoken English.

OUR HIRING PROCESS

Application review

We read every application and reply within 5 business days.

Intro conversation

30 minutes with People & Culture: the role, your expectations, and mutual fit.

Technical interview

45 minutes with our Technology team: technical questions and a practical case.

Final conversation

45 minutes with our VP of Technology: depth, direction, and mutual fit.

This is a hybrid role based in Cochabamba. However, we are also open to remote candidates located outside Cochabamba.