Tech Lead
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Key skills for this role
About the Role
Alpheya, a B2B WealthTech startup backed by BNY Mellon and Lunate, is hiring Tech Leads to run engineering teams of 4-8 engineers in Abu Dhabi. The role is hands-on, involving writing and reviewing code, setting technical direction, and mentoring engineers.
Key Skills for This Role
Responsibilities
- Set technical direction for your team's domain and defend the decisions you make
- Write production code regularly, including in the most complex parts of the codebase
- Review code from every engineer on the team and use review as a teaching channel
- Plan delivery alongside your PO: break work down, manage risk, push back on scope when needed
- Own incidents in your domain end to end and coordinate across teams when required
- Mentor and grow your engineers, including giving direct performance feedback when needed
- Represent your team's technical posture to partners, vendors, and senior stakeholders
Requirements
- Strong depth in at least one of our core stacks (TypeScript, Go) and the ability to ramp on the others
- Track record of owning a service or product area in production over multiple quarters
- Demonstrated delivery in a startup or scale up environment under shifting requirements
- Comfort with the harder parts of the role: telling someone their work is not good enough, saying no to senior stakeholders, owning the call when it's genuinely ambiguous
- Effective use of AI coding tools as a force multiplier for the team
Full Job Posting
About the Client
- We are sourcing on behalf of Alpheya, a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon and Lunate.
- The company has raised $300M to build a state of the art wealth technology platform.
- Their mission is to power and grow their clients’ Wealth franchises through differentiated experiences, financial solutions, and insights.
About the Role
- We're hiring Tech Leads to run engineering teams of 4 to 8 engineers.
- You are the technical owner of your team's outcomes.
- Most of your time is spent writing and reviewing code, but you are also accountable for technical direction, delivery, and the engineering health of the people on your team.
- This is hands on. If you're looking for a manager seat with no coding expected, this is not it.
What You'll Do
- Set technical direction for your team's domain and defend the decisions you make.
- Write production code regularly, including in the most complex parts of the codebase.
- Review code from every engineer on the team and use review as a teaching channel.
- Plan delivery alongside your PO: break work down, manage risk, push back on scope when needed.
- Own incidents in your domain end to end and coordinate across teams when required.
- Mentor and grow your engineers, including giving direct performance feedback when needed.
- Represent your team's technical posture to partners, vendors, and senior stakeholders.
What We're Looking For
- Strong depth in at least one of our core stacks (TypeScript, Go) and the ability to ramp on the others.
- Track record of owning a service or product area in production over multiple quarters.
- Demonstrated delivery in a startup or scale up environment under shifting requirements.
- Comfort with the harder parts of the role: telling someone their work is not good enough, saying no to senior stakeholders, owning the call when it's genuinely ambiguous.
- Effective use of AI coding tools as a force multiplier for the team, not only for yourself.
Nice to Have
- Fintech, banking, or other regulated industry background.
- Exposure to partner driven delivery, especially integrations with banks, asset managers, or platform vendors.
How We Work and What We Value
- We are a startup environment. We move quickly, decisions are made close to the work, and engineers are expected to take real ownership rather than wait for instructions.
- Ability to think: reason through a problem you have not seen before, identify the right question, and propose an answer you can defend.
- Ability to read code you did not write: operating in unfamiliar codebases and reviewing code generated by AI tools.
- Ability to code: implement what you propose, cleanly and to a production standard.
- Engineering rigor: debug systematically, unblock yourself through proper investigation.
- Startup fit: comfortable with ambiguity, owning outcomes, and not waiting to be told what to do next.
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