Senior Software Engineer II

Location: Mexico - Remote

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

Who We Are & What We Do 

Your Career Path & Development

• Cutting-Edge AI Tooling: We equip our engineers to innovate at speed. You'll have full access to GitHub Copilot, frontier models (like Claude and OpenAI), Gemini, and other new tools as they emerge, all supported by our dedicated internal AI team.
• Continuous Learning: Sharpen your skills with full access to the entire Udemy learning database.
• Internal Mentorship: Learn from experts across our global team through tech demos, pair programming, and collaborative projects.
• Clear Advancement: We provide a framework for you to grow from one role to the next, with clear expectations and support from your manager.
• Travel: Opportunities to travel to the US for collaboration with our global teams.

• Lead projects from scoping through implementation to successful outcomes — not just output, but real impact for the business and users.
• Strategically delegate implementation to AI agents, translate technical direction into precise instructions, critically evaluate AI-generated output for production-readiness, and maintain audit-ready compliance in a regulated environment 
• Explore and champion new AI tools, frameworks, and workflows; document pros/cons, best practices, and pitfalls; and create reusable prompt templates or context frameworks that elevate the entire team's AI fluency.
• Design and implement software systems for our genomic applications and services, delivering well-tested, performant, and reliable solutions that consider the full lifecycle of a project (including on-call).
• Take ownership of services and significant areas of the codebase, developing deep domain expertise and serving as a go-to technical resource for your team.
• Collaborate cross-functionally with product managers, designers, user experience researchers, scientists, and business leaders to drive meaningful outcomes.
• Proactively identify and address technical debt before it becomes a long-term problem, and encourage and enable your team to do the same.
• Mentor engineers within your team and contribute to improving engineering practices, with growing influence beyond your immediate team.
• Contribute to setting technical standards and participate in decision-making that affects teams beyond your direct sphere of influence.

• Bachelor's or Master's degree in Computer Science or a related field, or 6+ years of equivalent professional experience as a Software Engineer.
• Proficiency with distributed systems built on cloud infrastructure — AWS, GCP, Azure, or similar.
• Strong backend engineering expertise with proficiency in an established back-end language (Go, Java, Python, Scala, Rust, etc.).
• Solid understanding of software engineering best practices including testing, code review, CI/CD, and observability.
• Demonstrated ability to take a nebulous project, scope it, determine a solution and course of action, and implement and launch it with minimal external guidance.
• A strong product engineering mindset with a clear focus on customer and business outcomes.
• Experience mentoring other engineers and a track record of elevating the practices of those around you.
• Familiarity with infrastructure-as-code tooling/frameworks (e.g., Terraform, CloudFormation, AWS CDK).
• Familiarity with database design, data manipulation, and data quality techniques.
• Adaptable in a fast-paced startup environment where priorities may change quickly and frequently.
• Demonstrated willingness to learn new domains (e.g., genomics, healthcare) and associated technologies.
• Fluent in English, both written and spoken.

• Familiarity with frontend frameworks such as React, Next.js, Vue.js, or similar.
• Familiarity with regulated software systems in any industry (e.g., HIPAA, ISO, FDA).
• Familiarity and experience developing and architecting event-driven architectures.
• Experience with AWS technologies and serverless infrastructure.
• Experience with machine learning or AI technologies, including LLMs.
• Experience in the life sciences/pharmaceutical industry.

What We Offer: A Commitment to Your Success

• Competitive Compensation: A strong base salary plus an annual performance bonus.
  • Expected Helix Base: $114,750 - $155,250 MXN/monthly
  • Expected Helix Discretionary Annual Bonus: 10% of your annual salary
  • Equity: We offer generous equity at Helix. If you receive a Helix offer your recruiter will book dedicated time with you to educate you on our equity model.
• Comprehensive Health: 100% employer-paid premium for our Bronze Family Health Insurance plan, with eligibility from your first day.
• Allowances & Stipends:
  • Home Office Stipend: we will reimburse up to $500 USD for essential workspace items, so you are fully equipped to perform your best. 
  • Phone Allowance: 700 MXP monthly.
  • In-Office Perks: 80 MXP daily for transport and 250 MXP daily for snacks on office days.
  • Generous Time Off: Flexible vacation policy plus all national holidays.
• Hybrid & Remote Flexibility:
  • Hybrid: Our office is located at WeWork - Varsovia, Mexico City. We gather intentionally in our office space once per week to work on things like pair programming/live collaboration, skillshare sessions, social segments, team lunches, and volunteering opportunities. Juárez, Cuauhtémoc, CDMX.
  • Remote (for team members living 80 km or more outside Mexico City): We'll invite you to our CDMX office 3-6 times a year for key training and team meetings. These visits are a great chance to connect in person and strengthen our Helix community. Helix cover travel and accommodation.

Expected Interview Process:

What To Expect During Your Onboarding Week:

What To Expect During Your First 90 days:

Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.