Senior Full Stack Engineer

Svitla Systems, Inc.; Mexico; On-site; PHP 3,160,116 - 5,266,860; Full time

Benefits offered by this job

Remote work option

Office or coworking flexibility

Personalized learning program

Job summary

Svitla Systems, Inc. is seeking a Senior Full Stack Engineer for a full-time role in Mexico. The candidate will own end-to-end features across the React frontend and Python data/backend stack, with a strong emphasis on performance, data pipelines, and Kubernetes-based delivery.

Responsibilities include building ETL pipelines in Airflow, API exposure in FastAPI, and containerized deployment via Helm, ArgoCD, and Terraform. On-call rotation and AI-assisted development are part of the role.

Qualifications

• 8+ years of experience building and operating production web applications.
• Strong knowledge of React and TypeScript with data-dense UIs.
• Proficiency in Python for backend/API and data work (FastAPI or similar).
• Experience with Docker & Kubernetes in production.
• Familiarity with GitOps (ArgoCD/Flux), Helm, and IaC (Terraform).
• Solid SQL/data pipeline experience (Airflow or equivalent).
• Hands-on with AI-powered development and agentic tooling.

Responsibilities

• Build and ship full-stack features across React frontend and Python services.
• Design and maintain data/ETL pipelines in Airflow and FastAPI services.
• Work within Kubernetes/GitOps delivery model and ship via ArgoCD.
• Use agentic tooling to move faster and add AI-powered capabilities.
• Improve reliability, review code, and mentor engineers.

Skills

React

TypeScript

Python

FastAPI

Airflow

Kubernetes

GitOps

IaC

Agentic development

English communication

Tools

Docker

Kubernetes

Helm

ArgoCD

Terraform

Prometheus

Job description

Svitla Systems Inc. is looking for a Senior Full Stack Engineer for a full-time position (40 hours per week) in Mexico. The client is a CPG (consumer packaged goods) category- and sales-analytics platform that uses machine learning to deliver faster, smarter recommendations to customers. It allows monitoring of the products' performance across history, market distribution, channels, and competition.

A full-stack engineer should be equally comfortable with a React/TypeScript frontend, a Python/FastAPI + Airflow data backend, and a Kubernetes-based delivery pipeline — and already work fluently with agentic development tooling. You'll own features end to end: from the data pipeline that computes a metric, through the API that serves it, to the chart the customer sees — and the container and manifest that ship it to production. It is a hands-on role for someone who has done this at scale before and can raise the bar in quality, architecture, and AI-augmented delivery. Roughly 55% backend (Python/FastAPI/Airflow), 35% frontend (React/TypeScript), 10% infra & delivery (Docker, K8S, Helm, ArgoCD, Terraform). The on-call rotation schedule is one week every 4 weeks, Monday through Friday. There are two on-call engineers every week: one covers the morning, and the other covers the afternoon, with a midday overlap. On-call is part of an engineer's duties; it is not OT. The idea is that the on-call engineer will own the #ops Slack channel and be responsible for responding to any high-priority issue. The team has 3 main types of requests we get in the #ops channel:

• System down issue: This is the highest priority and should be addressed immediately.
• Helping with issues on the main platform web app (the main product). The CS team sometimes needs assistance with tasks such as data fixes or backend processes that they cannot run themselves.
• A bug is discovered that needs prompt fixing.

Frontend: React 18, TypeScript 5 (Strict Mode), Redux, Redux-Saga, Immutable.js, TanStack Query, React Router 7, Styled Components, Highcharts, AG Grid Enterprise, Webpack 5, Jest, Cypress.

Backend & Data: Python 3.12, FastAPI, Pydantic v2, Apache Airflow, Polars, Pandas, SQLAlchemy, MySQL (Sharded Architecture), PostgreSQL, pgvector, Ruff, Mypy, Pytest.

Infrastructure & DevOps: Docker, Kubernetes (Amazon EKS), Karpenter, Argo CD (GitOps), Helm, Terraform, Amazon ECR, Prometheus, Grafana, Sentry, Jaeger, Bitbucket Pipelines, GitHub Actions (CI/CD).

Requirements:

• 8+ years of experience in building and operating production web applications. A clear senior/staff-level full-stack engineer track record.
• Strong knowledge of React and TypeScript (state management, performance, testing), ideally with data-dense UIs (grids, charts, dashboards).
• Knowledge of Python for backend/API and data work (FastAPI or similar; SQL and relational modeling; be comfortable with large datasets).
• Experience with Docker & Kubernetes in production — you've containerized and operated services on k8s, not just run kubectl get pods.
• Familiarity with GitOps (ArgoCD/Flux), Helm, and IaC (Terraform).
• Solid understanding of SQL and a data pipeline (Airflow or an equivalent orchestrator).
• Hands-on experience in agentic development — you already build with AI coding agents (Claude Code, Cursor, similar), understanding of MCP or comparable tool-use patterns, and integrate LLMs into product features responsibly.
• Strong skills in English communication and the seniority to own ambiguous problems.

Nice to have:

• Exposure to CPG, retail, syndicated data (Circana, SPINS, Nielsen).
• Familiarity with JVM (Java/Scala, Play) for the legacy service.
• Understanding of Prometheus/Grafana observability; cost-aware autoscaling (Karpenter/spot).
• Experience modernizing a monolith toward services.

Responsibilities:

• Build and ship full-stack features across the React frontend, Python services, and (where needed) the legacy JVM API — owning them from data model to UI.
• Design and maintain data/ETL pipelines in Airflow and the FastAPI services that expose them, with an eye on performance over large multi-tenant datasets.
• Work inside the Kubernetes/GitOps delivery model — containerize services, tune Helm values, and ship through ArgoCD across test, staging, and production.
• Use agentic tooling (Claude Code, MCP servers, our internal workflow system) to move faster and to build AI-powered product capabilities.
• Improve reliability and observability, review peers' code, and mentor mid-level engineers.

Success in the first 3 months:

• Shipping full-stack features independently across the React app and Python services.
• Be comfortable deploying through the ArgoCD/Helm pipeline and debugging in k8s.
• Introducing agentic workflows that measurably speed up the team.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote, our welcoming office or local coworking.
• Bonuses for recommendations of new employees.
• Bonuses for article writing, public talks, other activities.
• 15 vacation days, 10 national holidays, 10 sick leaves.
• Personalized learning program tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Fun corporate online\offline celebrations and activities.
• Awesome team, friendly and supportive community!

Why join Svitla

Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.

Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.