Staff Engineer
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Job Description
Staff Engineer providing technical leadership through hands-on code engagement in building scalable career platforms. Collaborating with teams to ensure delivery aligns with user growth and product outcomes.
Responsibilities:
- Help improve core engineering practices — sprint cadence, code review standards, and release process — and set the example through your own work.
- Champion quality, helping define the standards and practices that make sure what Tallo ships works and holds up.
- Partner closely with your Engineering Manager so that technical direction and people and delivery priorities reinforce each other.
- Champion agile, iterative ways of working grounded in a shared understanding of user goals.
- Keep engineering work connected to user outcomes and product goals, not just feature delivery, so teammates understand why they’re building what they build.
- Help balance cross-cutting feature work (auth, notifications, shared components) with maintenance and infrastructure work (tech debt, CI/CD, environment improvements), keeping technical priorities aligned to what feature squads need.
- Design and evolve technical architecture and standards across the platform, ensuring solutions are secure, performant, scalable, and sound.
- Inform build-versus-buy decisions, vendor evaluations, and long-term platform investments through hands-on technical analysis and recommendations.
- Build safety and security into the platform by design, helping make sure it protects its users and their data.
- Partner with product managers on roadmap priorities, sequencing, and technical feasibility.
- Connect engineering effort to Tallo’s company goals of Engagement, Outcomes, and Growth, and to the metrics that track progress against them.
- Identify and clear technical blockers to delivery across teams, including dependencies, requirements, and cross-team coordination.
- Evaluate realistic AI and ML use cases given Tallo’s data, user base, and product goals, including matching, recommendations, career path prediction, skills inference, and content personalization.
Requirements:
- Eight (8) years of related experience
- Strong background in modern cloud-based architectures, DevOps practices, and distributed systems.
- Track record of shipping customer-facing product capabilities, including data-driven or AI-enabled features, into production.
- Experience driving quality, including the standards and practices that keep what a team ships reliable.
- Ownership mindset for technology safety and security, with experience building secure systems and meeting compliance requirements, ideally for sensitive or young user populations.
- Experience partnering with data and data science functions, including data architecture and analytics.
- Strong technical mentorship skills, including coaching engineers, raising the technical bar, and developing others through code review and pairing.
- Strong strategic thinking paired with a hands-on execution orientation.
- Comfortable working directly in the codebase rather than leading from a distance.
- Outstanding written and verbal communication skills with the ability to influence across engineering, product, and leadership.
- Ability to clear required background checks.
Benefits:
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
- The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
- All employment is “at-will” as governed by the law of the state where the employee works.
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