Blend360

Lead level Full Stack Developer

Guadalajara, Jal., Mexico · Hybrid · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerBlend360
LocationGuadalajara, Jal., Mexico
Work styleHybrid
Employment typeFull-time
Employer posted11 days ago

We are looking for a Full Stack Developer o help own end-to-end technical delivery for a key product/module. This is a hands-on technical role for someone who is strongest on the backend but has solid frontend experience and can operate across backend, frontend, cloud, data, testing, and AI-enabled engineering workflows.

What You'll Do

Provide hands-on technical leadership across backend, frontend, cloud, data, testing, and deployment.
Own backend architecture and development using Python and Flask, including API design, service-layer ownership, debugging, and code reviews.
Guide the team on backend patterns, clean architecture, and separation between service and data-access layers.
Contribute to frontend development and collaborate closely with UI engineers using React and TypeScript.
Own and troubleshoot cloud integrations and deployments within GCP.
Work with databases and data models, particularly Google Spanner and SQL, with exposure to BigQuery for analytics and reporting use cases.
Establish and maintain effective testing practices across unit, integration, and end-to-end testing.
Support CI/CD pipelines, releases, deployments, and production troubleshooting.
Identify and address security and dependency risks, including Snyk findings, dependency upgrades, secrets management, and secure development practices.
Mentor other engineers and contribute to technical decision-making and code quality.
Help define and maintain module boundaries and ensure consistency across the broader technical architecture.
Leverage AI-assisted engineering tools and workflows to improve developer productivity, testing, QA, automation, and delivery.
Explore and implement agent-based tooling, prompts, skills, MCP/tool integrations, and automation scripts where they can safely improve engineering workflows.
Use AI responsibly for activities such as code exploration, test generation, QA evidence, Jira/GitHub workflows, and developer productivity.

Show full description

Strong professional experience with Python, preferably Flask.
Strong experience designing and developing APIs and backend services.
Solid hands-on experience with React and TypeScript.
Experience working with GCP and cloud-native applications.
Strong SQL and database/data modeling experience.
Experience with Docker, Git, and CI/CD.
Experience with automated testing and a strong quality mindset.
Ability to troubleshoot issues across application, data, cloud, and deployment layers.
Strong understanding of software architecture, service boundaries, and maintainable code design.
Experience conducting code reviews and providing technical guidance to other engineers.
Strong communication and collaboration skills.
Ability to operate as a hands-on technical owner while balancing implementation with technical leadership.

Nice to Have

Experience with Google Spanner.
Experience with BigQuery.
Experience with Cloud Run, Cloud Storage, Secret Manager, IAM, and GCP logging/monitoring.
Experience with pytest, Jest, React Testing Library, and Playwright/E2E testing.
Experience with GitHub Actions and release troubleshooting.
Familiarity with Snyk or similar security/dependency scanning tools.
Experience with AI-assisted development or AI/agentic engineering workflows.
Familiarity with MCP, agent-based tooling, prompts, skills, and developer automation.
Experience working in environments where AI is integrated into software development and QA processes.

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

7+ years of professional software development experience, with strong full-stack development experience.

Our Perks and Benefits:

📚 Learning Opportunities:

Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.

🛫 Travel opportunities to attend industry conferences and meet clients.

👩‍🏫 Mentoring and Development:

Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.

⚖️ Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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