3 publicaciones de empleo destacadas de software quality assurance engineer en ciudad de méxico (¡Están contratando!)

Senior Site Reliability Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista
Senior System Administrator
Arcadion —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida

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Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
Collaborate closely with Android developers, security engineers, and product managers to report vulnerabilities, discuss root causes, propose mitigation…
Senior QA Analyst (Mobile) - LATAM
Sokin —Ciudad de México, CDMX
3–5 years of experience in mobile test automation, with strong ownership of quality outcomes in modern product teams (Senior level expectation).

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Senior Site Reliability Engineer

EarnIn -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Cualificaciones

Go
Informática
Ingeniería de software
Gestión de incidentes
Maestría
Respuesta a incidentes
Licenciatura
Capacitación
Liderazgo
Python
Debugging

Descripción completa del empleo

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We're growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

WHY this role exists

EarnIn's community members rely on our products to perform consistently, respond promptly, and instill trust. Reliability goes beyond infrastructure; it shapes the customer experience. Product teams must deploy rapidly, but they must also develop systems that are observable, resilient, easy to operate, and safe to update.

This role exists to elevate the reliability of EarnIn's production systems while empowering engineering teams to advance swiftly with assurance. As a Senior Site Reliability Engineer, you will spearhead reliability enhancements that fortify services, streamline incident management, and foster sustainable on-call practices.

HOW you will create impact

Act as a senior technical owner for reliability initiatives. Collaborate across systems, teams, and failure modes to strengthen how EarnIn designs, observes, deploys, and manages production services.
You will combine software engineering fundamentals with reliability thinking. Rather than just responding to incidents, you will apply lessons learned to improve systems, alerts, runbooks, and ownership, reducing repeat failures.
Leverage AI-assisted engineering practices, such as machine learning monitoring tools and anomaly detection systems, to minimize operational toil, accelerate investigations, refine infrastructure workflows, and enable teams to analyze production behavior more effectively.
Mentor engineers and coach product teams to embed reliability practices that clarify, streamline, and safeguard their services.

WHAT you will own

Reliable system design

Engineer and refine systems focusing on resilience, graceful degradation, capacity, and understanding failure modes.
Collaborate with engineering teams to surface and address reliability risks during design, implementation, launch, and operation.
Transform services to be simpler to debug, easier to operate, and more predictable under failure.

SLOs, observability, and production signals

Define and measure SLIs and SLOs that reflect real customer experience.
Apply observability tools such as Datadog, CloudWatch, logs, metrics, traces, and APM to create signal-rich, noise-light operational visibility.
Elevate alerting quality so pages drive action, reach the right people, and warrant human intervention.

Incident lifecycle improvement

Direct and optimize incident response practices from detection and triage to communication, resolution, postmortems, and follow-up.
Extract incident learnings to implement lasting technical and process improvements.
Guide teams to reduce repeated incidents and cultivate a quieter on-call environment.

Operational tooling and AI-assisted leverage

Develop or refine tooling that eliminates toil, accelerates root-cause analysis, and streamlines infrastructure-as-code workflows.
Apply AI-assisted development and operational workflows responsibly to hasten investigations, enhance documentation, evolve runbooks, and automate repetitive engineering tasks.
Help teams adopt practical AI-assisted workflows where they measurably improve quality, speed, or operational clarity.

Mentorship and engineering enablement

Coach engineers in reliability practices, observability, incident response, and production ownership.
Write documentation and runbooks that reduce silos and make operational knowledge easier to use.
Articulate reliability tradeoffs persuasively to both technical and non-technical partners.

WHAT we're looking for

Bachelor's or master's degree in Computer Science or equivalent industry experience.
4+ years of experience in SRE, Software Engineering, Infrastructure Engineering, or a related role.
Hands-on coding experience in Python, Go, or similar languages.
Experience designing, operating, and improving distributed systems in production.
Strong understanding of SLIs, SLOs, error budgets, MTTR, incident response, and how to use reliability data to drive decisions.
Strong observability and debugging skills using logs, metrics, traces, dashboards, and production signals.
Experience improving alert quality, runbooks, incident processes, and follow-through after production issues.
Ability to lead reliability initiatives across teams and mentor engineers toward better operational practices.
Experience using AI-assisted development or operational tools, such as GitHub Copilot or Datadog

#LI-Hybrid

#LI-Remote

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

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