- Contribute to engineering initiatives as a full software developer, delivering production-quality features and services.
- Write, review, test, and maintain clean, reliable, and scalable code following standard engineering workflows (PRs, code reviews, CI/testing).
- Provide internal developer support by answering specialized, contextual questions across the engineering ecosystem (tooling, libraries, standards, and patterns).
- Guide engineers on local development environment setup, Unix/Bash workflows, and day-to-day tooling usage.
- Advise teams on internal tools and frameworks, clearly explaining technical trade-offs and recommending best paths forward.
- Identify repetitive friction points and automate workflows through scripts, templates, and improved tooling.
- Partner with the team to embed AI know-how into the company’s AI coding tools (e.g., Claude) and enable smarter developer experiences.
- Contribute to infrastructure-as-code and internal platform efforts using Terraform, especially in AWS-based environments.
- Help teams make identity/security framework decisions (e.g., Okta, Auth0) based on use case and organizational standards.
- Operate effectively in ambiguous environments, establishing clarity where documentation or standards don’t yet exist.
- 5–6 years of professional software engineering experience, with strong fundamentals and the confidence to provide clear, opinionated guidance.
- Strong proficiency in .NET, with the flexibility to work in languages outside their core stack when the work requires it.
- Strong software design and architecture skills: able to structure solutions, weigh trade-offs, and explain the reasoning behind design decisions.
- Strong focus on testing as part of the development workflow, not as an afterthought.
- Demonstrated ability to act as an internal consultant: diagnose problems quickly, communicate trade-offs, and recommend solutions.
- Strong communication skills (written and verbal), with a coaching/mentoring mindset.
- Positive, collaborative attitude: open to feedback, comfortable being challenged, and willing to help others.
- Proactive and independent: naturally seeks opportunities to improve, automate, and simplify.
- Comfortable switching between deep technical work and developer support without losing momentum.
Nice to Have
- Exposure to AWS architecture, but not required to be an AWS expert (dedicated architecture expertise exists within the team).
What about languages?
- You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have?
- In order to thrive in this role, you must have at least 5+ years of experience in data engineering or similar roles.
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.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!