17 publicaciones de empleo destacadas de senior full stack software engineer, observability en progreso nacional, dif (¡Están contratando!)

Site Reliability Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
Mobile AI-Native Product Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Disponible para viajar
- Desarrollo de software
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Partner Manager - Channels
Datadog —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- DevOps
- Plan de adquisición de acciones empresariales
Postulación rápida
Cybersecurity Network Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Licenciatura
- Python
Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
Postulación rápida
Technical Escalations Engineer 2 (APM - Java/Proxy/C++) - Mexico City
Datadog —Ciudad de México, CDMX
- Java
- C++
- JavaScript
- Plan de adquisición de acciones empresariales
Postulación rápida
10d
Solutions Architect
ByteDance —Ciudad de México, CDMX
- Administración de personal
Lead AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Python
Senior Agent Manager, Agentforce & Data 360
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Inglés
DevSecOps Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- Linux
Staff Platform Engineer
EarnIn —Ciudad de México, CDMX
- Administración de personal
- Informática
- Maestría
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Strategic Account Executive
Datadog —Ciudad de México, CDMX
- Disponible para viajar
- Plan de adquisición de acciones empresariales
Postulación rápida
Kubernetes DevOps Specialist
Arcadion —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés

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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
Desarrollo de software
Liderazgo
Python

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 deliver reliability and trust when they need them most. Reliability shapes the product experience, not simply operational concerns. Every noisy alert, unclear runbook, fragile deployment, or repeated incident undermines customer trust and hinders engineering teams.

This role enables EarnIn to build and run production systems with greater resilience, clarity, and confidence. As a Site Reliability Engineer, you will strengthen infrastructure, optimize tooling, deepen observability, streamline incident response, and elevate reliability standards. These actions empower teams to ship quickly and safely.

This role can be remote anywhere in Mexico, or Hybrid with 2+ days a week in our Mexico City office.

HOW you will create impact

You will operate as a well-rounded SRE practitioner across production operations, observability, incident response, infrastructure-as-code, automation, and software engineering.
You will demonstrate growing independence in reliability work. You will not only follow existing playbooks, but also refine them. You will transform production learnings into better alerts, clearer runbooks, safer deployments, stronger observability, and more reliable services.
You will harness AI-assisted development and operational workflows to minimize toil, accelerate investigation, enhance documentation, and streamline infrastructure and reliability work. You will meticulously validate AI-generated output before applying it to production systems or operational workflows.
You will collaborate with product engineering and platform teams to implement, explain, and support reliability practices, ensuring they are practical, understandable, and actionable.

WHAT you'll do

Design and improve systems with resilience and graceful degradation in mind. Plan for capacity and possible failure modes.
Define and measure SLOs and SLIs that reflect customer experience and help teams make better reliability tradeoffs.
Use observability tools such as Datadog, CloudWatch, logs, metrics, traces, and APM. Build signal-heavy, noise-light visibility into production systems.
Configure and improve alerting and routing through incident management workflows. Make sure pages are actionable, well-routed, and worth human attention.
Participate in incident response from detection and triage through communication, resolution, postmortems, and follow-up.
Continuously improve the incident lifecycle. Focus on better detection, clearer runbooks, stronger postmortems, and concrete remediations.
Construct or optimize infrastructure, reliability tooling, and automation that eliminate toil and ensure operational consistency.
Use AI-assisted tools to accelerate coding and documentation. Speed up root-cause exploration, runbook improvement, infrastructure-as-code workflows, and operational tasks.
Help engineering teams improve production readiness and deployment safety. Support service ownership and operational clarity.
Communicate reliability concepts clearly across technical and non-technical teams.
Document operational knowledge to reduce silos. Make it easier for engineers to respond with confidence.
Contribute to a culture where reliability is shared by SRE and product engineering teams.

WHAT we're looking for

Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
3+ years of experience in SRE, Software Engineering, Infrastructure Engineering, or a related role.
Hands-on coding experience in Python, Go, or similar production-oriented programming languages.
Experience operating production systems and contributing to reliability, observability, incident response, infrastructure, or automation improvements.
Working knowledge of SLIs, SLOs, error budgets, MTTR, and how reliability data informs engineering tradeoffs.
Experience using logs, metrics, dashboards, traces, and alerts to diagnose production issues.
Experience with distributed systems concepts such as retries, backoff, timeouts, graceful degradation, capacity planning, and failure isolation.
Experience improving alert quality, runbooks, incident processes, and follow-through after production issues.
Ability to communicate clearly, write useful documentation, and explain reliability concepts in plain language.
Experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or similar tools as part of your software development or operational workflow.
Interest in using AI-assisted workflows to reduce toil, accelerate investigation, improve infrastructure-as-code workflows, and strengthen operational practices.
Interest in mentoring peers and growing your impact across teams over time.

#LI-Remote

#LI-Hybrid

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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senior full stack software engineer, observability empleos en progreso nacional, dif

Site Reliability Engineer

Mobile AI-Native Product Engineer

Marketing Data Scientist, Data & AI Enablement

Partner Manager - Channels

Cybersecurity Network Engineer

Forward Deployed Engineer

Technical Escalations Engineer 2 (APM - Java/Proxy/C++) - Mexico City

Solutions Architect

Lead AI Engineer

Senior Agent Manager, Agentforce & Data 360

DevSecOps Engineer II, Mexico City (MX)

Staff Platform Engineer

Machine Learning Platform Engineer

AI Platform Engineer

Strategic Account Executive

Kubernetes DevOps Specialist

Sr Advanced Cloud Developer

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