Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe Pro team is searching for a Staff Software Engineer to drive the technical vision and execution of our Integrations platform. You’ll serve as a senior IC on a high-impact team responsible for core integration surfaces including Public APIs, Webhooks, Salesforce integrations (NPC, NPSP), and Integration Platform as a Service (iPaaS) tools like Workato and Zapier. You’ll lead architecture efforts, mentor engineers, and work closely with cross-functional partners to build robust, scalable integration solutions that connect GoFundMe to the broader ecosystem. This role is ideal for a seasoned technical leader who thrives on solving complex problems, setting architectural direction, and leading by example through hands-on contributions.

Candidates considered for this role will be located in the Buenos Aires, Argentina.

The Job

• Define and drive the technical roadmap for our Integrations platform, ensuring it scales with product growth and business complexity.
• Lead the design and implementation of core integration components: Public/Private APIs, webhooks, internal/external system connectivity, and automation workflows.
• Serve as a hands-on expert and role model in software design, system architecture, and best practices.
• Guide the team’s use of AWS services (e.g., Glue, Lambda, API Gateway, Step Functions) to power scalable and maintainable integration workflows.
• Evaluate and integrate with third-party platforms like Salesforce (NPC/NPSP, Experience Cloud), Workato, and Zapier.
• Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to boost engineering quality and efficiency.
• Mentor and support engineers across the team through design reviews, pair programming, incident reviews, and informal technical coaching.

You 

• Strong and varied startup experience.
• Have 10+ years of software engineering experience with a deep focus on backend and systems integration (APIs, GraphQL, Webhooks, TypeScript, AWS, MySQL).
• Have proven expertise in designing and building robust APIs and scalable integration architectures like Microservices and event driven architectures.
• Familiarity with managing infrastructure using Terraform.
• Have strong experience in analyzing, diagnosing, and preventing performance and scale problems, with expertise in application performance monitoring and log analytics tools like NewRelic and BugSnag.
• Are proficient in at least two of the following: Node.js, Python, Java
• Have strong AWS experience, particularly with services relevant to data and integration (e.g., AWS Glue, Step Functions, Lambda, SQS/SNS).
• Bring a product mindset and a pragmatic approach to technical decision-making to the team.
• A strong mentoring orientation and a desire to elevate those around you.

Preferred

• Experience building or maintaining Salesforce integrations and familiarity with nonprofit-specific packages (NPC, NPSP, Experience Cloud)
• Experience working with a CRM product and have a good understanding on how different CRMs work.
• Have demonstrated use of AI development tools to accelerate delivery and maintain high standards.
• Working experience with PHP Laravel.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

Estamos buscando un Data Engineer talentoso y motivado para unirse a nuestro equipo. Las responsabilidades de este rol incluyen diseñar, construir y mantener una plataforma de datos sólida, de autoservicio, escalable y segura, así como pipelines de datos de extremo a extremo que permitan a Data Scientists generar insights y impulsar la toma de decisiones estratégicas.

Responsabilidades de un Data Engineer en QuintoAndar:

• Construir y mantener una plataforma de datos de alto rendimiento que satisfaga las necesidades de la empresa, se conecte con las soluciones de producto y lidere la innovación analítica, habilitando arquitecturas robustas y plataformas eficientes.

• Crear y mantener pipelines de datos, considerando la lógica de negocio que mejor se aplica al área en cuestión, eligiendo niveles de agregación, agrupación y transformación de campos, verificando la calidad de los datos y realizando su limpieza.

• Crear modelos de datos y flujos de trabajo de transformación, permitiendo la creación de abstracciones de datos claras y accesibles.

• Ser responsable de todo el ciclo de vida del desarrollo de código (monitoreo de despliegues, documentación, rendimiento, seguridad, incorporación de métricas y alertas, cumplimiento del presupuesto de SLO, entre otros).

• Investigar inconsistencias y ser capaz de rastrear el origen de las diferencias (data troubleshooting).

• Permitir que los equipos de toda la empresa accedan y utilicen los datos de manera más efectiva mediante herramientas de autoservicio y datasets bien modelados.

• Alinear con stakeholders para comprender sus necesidades principales, manteniendo una visión holística del problema y proponiendo soluciones extensibles, escalables e incrementales.

• Realizar PoCs y benchmarks para determinar la mejor herramienta para un problema determinado, y decidir si se debe utilizar una solución existente o desarrollar una internamente.

• Contribuir a definir la visión estratégica, cruzando límites entre equipos y servicios para resolver problemas.

• Promover el valor del análisis y la ingeniería de datos dentro de la organización y fomentar una cultura data-driven.

• Ser una referencia dentro del chapter en conceptos técnicos, herramientas y/o mejores prácticas de desarrollo.

Lo que buscamos:

• 7 o más años de experiencia en roles de Data Engineering.

• Especialización en tecnologías, soluciones y conceptos de Big Data (Spark, Hadoop, Hive, MapReduce) y múltiples lenguajes (YAML, Python).

• Experiencia con Airflow, Spark, AWS y Databricks.

• Base sólida en principios de ingeniería de software, con experiencia trabajando en sistemas centrados en datos.

• Experiencia con soluciones de almacenamiento columnar y/o conceptos de data lakehouse.

• Dominio de Python, u otro de los principales lenguajes de programación, y pasión por escribir código limpio y mantenible.

• Conocimiento sólido en optimización del rendimiento de consultas SQL.

• Experiencia construyendo modelos de datos multidimensionales (esquemas Star y/o Snowflake).

• Comprensión del ciclo de vida de los datos y conceptos como lineage, gobernanza, privacidad, retención, anonimización, entre otros.

• Conocimientos en áreas de infraestructura como contenedores y orquestación (Kubernetes, ECS), estrategias de CI/CD, infraestructura como código (Terraform), observabilidad (Prometheus, Grafana), entre otros.

• Dominio del inglés: nuestro código, documentación, herramientas y materiales suelen estar estructurados en inglés.

• Excelentes habilidades de comunicación, compartiendo de forma proactiva y colaborando tanto con stakeholders técnicos como no técnicos para traducir necesidades de negocio en soluciones de datos escalables.

• Experiencia como tech lead / project lead o similar.

• Curiosidad, atención al detalle y capacidad para desenvolverse en un entorno dinámico y orientado a datos.

Te destacarás si:

• Has participado en la construcción de plataformas de datos a gran escala para grandes volúmenes de datos y equipos, utilizando tecnologías de Big Data como Spark, Trino, Hive, Atlas, Ranger, entre otras.

• Tienes experiencia en la construcción de capas semánticas (semantic layers).

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-SF4

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

About the Role

We’re looking for a Senior Infrastructure Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you’ll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month.

• Location: Remote-first (Argentina)
• Permanent, full-time employee (this is not a contractor position)
• Application Information:
  • Application deadline: applications accepted on an ongoing basis until position is closed and filled
  • This posting is for a new position.

As an Senior Infrastructure Engineer you will:

• Own and evolve the cloud substrate that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, networking, and cloud operations across AWS and GCP.
• Design and maintain the networking fabric that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments.
• Build and enforce guardrails around IAM, SCPs, and scoping permissions that keep infrastructure secure and auditable without slowing engineers down.
• Drive FinOps across Webflow's cloud footprint, owning cost attribution, right-sizing recommendations, and surfacing waste before it becomes a problem.
• Partner with Infra teams on instance type selection, capacity planning, and right-sizing decisions that impact application performance.
• Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation.
• Help define the culture of this growing team as it expands its international presence.

About you 

You’ll thrive as a Senior Infrastructure Engineer if you:

• Have a background as an infrastructure or cloud engineer with an enthusiasm for automation and code, or a background as a software engineer with deep enthusiasm for cloud infrastructure and distributed systems.
• Have 5+ years of experience owning and operating cloud infrastructure in a customer-facing environment that allows for little to no downtime.
• Have deep hands-on experience with AWS and a strong opinion on what good cloud operations look like.
• Have experience managing Kubernetes clusters at scale, including upgrades, node group management, autoscaling, and cluster add-on lifecycle.
• Have experience with infrastructure-as-code tools like Pulumi or Terraform, and a strong preference for changes made through code, not consoles.
• Have experience navigating multi-region or multi-cloud environments on AWS or GCP.
• Stay curious and open to growth, demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

It would be a bonus if you had even one of the following:

• Experience with Karpenter, cluster autoscaler, or other Kubernetes-native scaling tooling.
• Experience with GCP infrastructure alongside AWS in a multi-cloud environment.
• Experience building AI-assisted infrastructure tooling, including cost optimization loops, anomaly detection, or policy-as-code with LLM assistance.
• Experience contributing to multi-region architecture including data residency, regional failover, or latency-based routing.
  
  

You Are:

• Collaborative: You possess a collaborative spirit, thriving when working with both your immediate team and cross-functional partners.
• Strategic thinker: You're a strategic thinker, adept at defining clear business needs and evaluating solutions to make informed build-versus-buy decisions.
• Comfortable with ambiguity: You navigate ambiguous situations with ease, gathering data and making progress even with incomplete information or unclear requirements.

If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. 
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice. 

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.

We recently announced that we're opening an office in Buenos Aires, and this role will be one of the first members of the team. Not ready to apply, or not seeing the right role yet? Sign up here to hear about future opportunities and events with the Webflow team in Argentina.

About the role:

• Location: Remote-first (Argentina)
• Permanent, full-time employee (this is not a contractor position)
• Application Information:
  • Application deadline: applications accepted on an ongoing basis until position is closed and filled
  • This posting is for a new position

As a Senior Infrastructure Engineer, you’ll … 

• Join our Data Stores team, which owns the reliability, scalability, and operational excellence of core datastores (MongoDB, PostgreSQL), including schema and index strategy, connection best practices, and performance tuning.
• Partner cross-functionally with product, application, and platform teams (including embedded engagements) to support new use cases, onboard new products, and unblock dependency-driven work.
• Reduce toil by designing and implementing automation and Infrastructure as Code (IaC) for datastore provisioning, upgrades, backups, and disaster recovery.
• Lead efforts to identify systemic datastore issues, drive root-cause analysis, and implement durable fixes to improve long-term stability.
• Establish guardrails, standards, and best practices to ensure consistent and scalable adoption of datastores across teams; anticipating growth and avoiding repeat failure modes.
• Guide and empower engineers on other teams to introduce new features and functionality into production in a safe, sustainable way.
• Occasionally dive into the main Webflow application (TypeScript, Node, or Go) to debug and sometimes fix production behavior.
• Participate in and continuously improve on-call and incident response processes.
• Help define the culture of this growing team as it expands its international presence.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you 

• Either a background as an operations or production engineer with an enthusiasm for code, or a software engineer with an enthusiasm for systems and infrastructure.
• 5+ years of experience building, maintaining, and debugging distributed systems in a customer-facing environment with little to no downtime.
• Hands-on experience operating and scaling production datastores (MongoDB and/or PostgreSQL), including performance tuning, schema or index design, and incident-level troubleshooting.
• Experience supporting multiple teams using shared datastore infrastructure, including establishing guardrails, best practices, and patterns that scale with growth.
• Experience navigating and scaling multi-tier cloud environments on AWS or GCP using containerized and Kubernetes-based architectures.
• Experience with infrastructure-as-code tools such as Terraform or Pulumi, including managing stateful infrastructure.
• Enthusiasm for mentoring and sponsoring less-experienced engineers.
• Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

It would be a bonus if you had even one of the following:

• Have experience designing or operating datastore platforms used by many teams, rather than a single application.
• Have led or contributed to data migrations, major version upgrades, or the introduction of new database technologies in production.
• Have experience with managed database services (e.g., MongoDB Atlas, RDS, Cloud SQL) and navigating tradeoffs around cost, reliability, and operational control.
• Enjoy working in ambiguous problem spaces, helping define what “good” looks like for datastore reliability, scalability, and developer experience

Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying.

Our Core Behaviors:

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. 
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice. 

We are seeking a AWS Cloud / DevOps / Platform Engineer who can operate with a high degree of ownership and independence while contributing to the design, build, and operation of scalable AWS environments.

This role is suited for early-career engineers who already have hands-on AWS experience and are ready to take on more responsibility in managing cloud infrastructure end-to-end. You will partner with DevOps, Security, and Application teams, while also being trusted to drive tasks independently—from implementation through troubleshooting and optimization.

Key Responsibilities

• Design, deploy, and maintain AWS cloud infrastructure using Infrastructure as Code (IaC) (e.g., CDK, CloudFormation, Terraform) with minimal supervision
• Independently manage and optimize AWS networking components, including:
  • VPCs, subnets, and route tables
  • Client VPN and site-to-site VPN
  • Internet Gateways and NAT Gateways
  • Security Groups and Network ACLs
  • VPC Peering, Transit Gateway, and PrivateLink
• Support and troubleshoot hybrid and multi-account AWS environments
• Own configuration and resolution of VPN, Direct Connect, and routing issues
• Collaborate with DevOps teams on CI/CD pipelines, while independently executing assigned automation tasks
• Monitor cloud resources and proactively optimize for performance, cost, and availability
• Lead initial troubleshooting for incidents and contribute to root cause analysis
• Apply AWS security and networking best practices in day-to-day operations
• Create and maintain clear technical documentation with minimal guidance

Required Skills & Experience

• 3–5 years of experience in cloud, infrastructure, or DevOps engineering
• Hands-on experience with AWS services, especially:
  • EC2, VPC, IAM, ALB/NLB, Route 53
  • S3, RDS, CloudWatch
• Strong networking fundamentals, including:
  • TCP/IP, DNS, HTTP/S
  • CIDR, subnetting, and routing
  • Firewalls and load balancing concepts
• Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
• Working knowledge of Linux systems
• Proven ability to troubleshoot network connectivity and performance issues independently
• Familiarity with multi-account AWS environments

Education

• Degree in Computer Science, Engineering, Information Systems, or a related technical field from an accredited university or technical institute in LATAM (Argentina, Chile, México, or equivalent) preferred
• Alternatively, completion of a recognized technical or vocational program (e.g., coding bootcamp, cloud engineering program) from a reputable LATAM institution, combined with relevant hands-on experience
• AWS certifications (e.g., Cloud Practitioner, Solutions Architect Associate) or equivalent training strongly preferred
• Demonstrated commitment to continuous learning through certifications, labs, or real-world projects

Soft Skills

• Ability to work independently, prioritize tasks, and take ownership of deliverables
• Strong problem-solving and analytical mindset
• Clear communication of technical concepts in English
• Proactive, self-driven, and collaborative approach
• Growth mindset with a strong interest in cloud and networking domains

The salary range for this role is $5,000 - $9,500 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a technically strong, hands-on Senior Database Reliability Engineer to help design, build, and scale the database platform used across Sezzle’s applications.

This is not a traditional DBA role. This role is for an engineer who can combine deep database knowledge with software engineering, infrastructure engineering, and platform thinking. You will help build the systems, libraries, automation, standards, and guardrails that make database usage across Sezzle reliable, secure, scalable, and easy for developers to adopt correctly.

As a Senior Database Reliability Engineer, you will be responsible for improving how Sezzle applications connect to, migrate, operate, observe, and scale their databases. You will work across application teams, infrastructure, security, and engineering leadership to define patterns that improve database reliability by design — not just by operational response.

You should be comfortable owning problems end-to-end: understanding application behavior, reading code, reviewing database access patterns, building shared tooling, improving connection management, designing migration safety checks, analyzing production performance, and helping developers use databases in safer and more scalable ways.

You should consider yourself a DOer to be a good fit for this role. We are looking for someone who can ship production-quality engineering work, not just advise from the sidelines. With AI tooling and automation, you should be a force multiplier for database reliability, developer productivity, and operational excellence across Sezzle.

Compensation:

For this senior development role, with 6+ years of experience, the compensation range is  $5,000 - $9,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

What You'll Do:

• Design, build, and maintain shared database platform components used by Sezzle applications, such as database connection packages, database client libraries, migration tooling, safety checks, query standards, and developer-facing abstractions.
• Establish reliable, scalable patterns for how Sezzle services connect to and interact with relational databases across production, staging, and development environments.
• Partner with backend engineering teams to improve database usage in application code, including connection lifecycle, transaction handling, retries, timeouts, pooling, query patterns, and migration workflows.
• Build automation and internal tooling that makes database operations safer, more repeatable, and less dependent on manual intervention.
• Define and enforce engineering standards for database access, schema design, migrations, indexing, query performance, connection management, and operational readiness.
• Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, read replicas, backups, failover, parameter groups, monitoring, and capacity planning.
• Lead database reliability initiatives that reduce operational risk, improve performance, and help Sezzle scale safely.
• Review application designs and database changes early in the development lifecycle to ensure reliability, scalability, maintainability, and security are built in from the start.
• Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, migration observability, and production safety controls.
• Improve developer self-service for database provisioning, access, schema management, local development, testing, and observability.
• Investigate production database issues by combining application telemetry, database metrics, logs, query plans, traces, and cloud infrastructure data.
• Identify and fix systemic database problems, not just symptoms — including bad access patterns, unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
• Create and maintain high-signal dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
• Drive improvements in database backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
• Work with security and compliance teams to improve database access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2 aligned controls.
• Mentor engineers on database design, query performance, safe migrations, operational readiness, and production debugging.
• Use automation and AI tooling where appropriate to improve migration review, query analysis, incident investigation, documentation, and developer productivity.

What We look for: 

• 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
• Strong software engineering ability in at least one production programming language such as Go, Python, or TypeScript.
• Proven ability to build production-quality internal tools, libraries, frameworks, services, or platform components used by other engineers.
• Deep hands-on experience with relational databases, especially MySQL and/or PostgreSQL, in high-availability production environments.
• Strong understanding of how application code interacts with databases, including connection pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
• Experience designing or improving shared database access patterns, internal database packages, ORM wrappers, migration frameworks, or developer-facing database tooling.
• Hands-on experience with AWS RDS/Aurora, including provisioning, upgrades, replicas, backups, failover, monitoring, parameter tuning, and production troubleshooting.
• Experience with database connection management technologies such as RDS Proxy, PgBouncer, ProxySQL, or application-level pooling.
• Strong ability to analyze database performance using query plans, indexes, slow query logs, wait events, locks, metrics, and application traces.
• Experience designing safe database migration processes for production systems.
• Strong understanding of observability for database-backed applications, including metrics, logs, traces, SLOs, alerting, and incident response.
• Experience with infrastructure-as-code and CI/CD systems such as Terraform, GitLab CI/CD, Kubernetes, Helm, or similar tooling.
• Ability to influence engineering teams through clear design reviews, documentation, technical standards, and practical implementation.
• Ability to operate independently, identify high-impact problems, propose pragmatic solutions, and drive them to completion.
• Bachelor’s degree in Computer Science.

Preferred Knowledge and Skills:

• Experience building platform capabilities for a microservices environment.
• Experience with Golang application development and database access patterns.
• Experience creating database libraries, SDKs, service templates, migration frameworks, or paved-road developer tooling.
• Experience improving database reliability across many services or teams, not just one application.
• Experience with fintech, payments, banking, e-commerce, or other high-volume transactional systems.
• Experience with compliance-sensitive environments such as PCI DSS, SOC 2, or SOX.
• Experience with database access governance, audit logging, secrets management, encryption, IAM authentication, and least-privilege access models.
• Experience with large-scale operational automation for provisioning, patching, failover testing, backup validation, access management, or schema review.
• Experience with distributed systems patterns such as transactional outbox, event-driven architecture, idempotency, queues, eventual consistency, and data consistency tradeoffs.
• Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, Performance Insights, OpenTelemetry, or New Relic.
• Familiarity with Elasticsearch or other supporting data stores.
• Familiarity with AI developer tooling such as Claude Code, Gemini CLI, Codex, Cursor, and using it to be a more productive engineer.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

Your role
Dialpad’s AI Engineering organization is responsible for building and maintaining customer-facing AI features at scale across all of our cloud-native products and services. Every day, millions of users worldwide leverage our technology to communicate effectively and efficiently.

Dialpad's Agentic Runtime team owns the infrastructure and execution engine that runs AI agents at scale across Dialpad's core product modalities — including voice, messaging, video, and digital engagement. From multi-step task orchestration and tool execution to real-time context management and agent memory, our team builds the foundational platform that powers Dialpad's next-generation intelligent, autonomous experiences. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, QA Specialists, and Engineers specializing in Distributed Systems, ML Infrastructure, and Platform Engineering.

This position reports to the Engineering Manager, who is based in Kitchener, CA, and has the opportunity to be based in our Buenos Aires, Argentina office.

What you’ll do

• Contribute to the design, development, and maintenance of agentic runtime systems, including agent orchestration, tool execution pipelines, and multi-step reasoning loops.
• Build and optimize core runtime components, including task planners, action dispatchers, memory managers, and context window management systems.
• Work on agent coordination techniques, including dynamic tool selection, parallel agent execution, state management, and result aggregation across multi-agent workflows.
• Maintain and enhance highly scalable agentic platforms with a focus on low-latency execution, cost efficiency, and deterministic behavior.
• Ensure high availability, reliability, and fault tolerance in agent runtime services, including graceful degradation when LLM or tool calls fail.
• Collaborate with cross-functional teams — including ML researchers, product, and platform engineers — to translate agentic product requirements into robust runtime infrastructure.
• Develop and optimize real-time distributed systems, microservices, and event-driven architectures powering agentic task execution.
• Design and implement sandboxed execution environments for safe agent use of tools, code execution, and external API calls.
• Implement and maintain monitoring, alerting, and performance metrics covering agent run success rates, token consumption, latency, and cost attribution.
• Evaluate and integrate emerging agentic frameworks, LLM APIs, and tooling ecosystems to continuously improve platform capabilities.
• Write clean, modular, and well-tested code while following best engineering practices in a rapidly evolving problem space.
• Participate in code reviews to ensure the quality, maintainability, and scalability of runtime components.
• Provide mentorship and technical guidance to junior engineers navigating the unique challenges of agentic systems.

Skills you’ll bring

• 3–6 years of experience in distributed systems, platform engineering, or ML infrastructure, with exposure to LLM-based or agentic systems strongly preferred.
• Strong understanding of agent architectures, including ReAct, plan-and-execute, and multi-agent coordination patterns.
• Deep knowledge of context management, prompt lifecycle, tool-call protocols (e.g., function calling, MCP), and agent memory strategies (short-term, episodic, and long-term).
• Experience integrating and managing external tool ecosystems, including web search, code interpreters, databases, and third-party APIs.
• Familiarity with retrieval-augmented generation (RAG) and how retrieval fits into broader agentic pipelines.
• Understanding of LLM output reliability challenges — hallucination, non-determinism, and retry/fallback strategies at runtime.
• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).
• Strong understanding of distributed systems, microservices, and event-driven architectures suited to long-running agent tasks.
• Passion for real-time performance optimization, including streaming responses, async execution, and parallel tool invocation.
• Experience with API design using OpenAPI, Swagger, or equivalent, with an eye toward agentic interaction patterns.
• Knowledge of gRPC or equivalent RPC protocols for inter-service communication within agent runtimes.
• Experience with Docker and Kubernetes, including managing long-running or stateful agent workloads in containerized environments.
• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional), including managed services relevant to agentic workloads such as queuing, secrets management, and compute autoscaling.
• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.
• Knowledge of CI/CD frameworks and continuous delivery practices, with comfort shipping infrastructure in a fast-moving research-adjacent environment.

Mission of the role

You will be part of the team responsible for operating one of the largest and most complex hosting platforms in Europe.

Your mission will be to ensure the stability, performance, and evolution of the Stretch platform, working directly on critical production systems and contributing to the continuous improvement of a highly distributed infrastructure.

This is a strongly technical role with hands-on impact at scale, where your work will directly influence service quality and platform evolution.

You will collaborate closely with Hosting Technology teams and other web hosting teams within IONOS, with frequent interaction with international colleagues—particularly in Germany—to consolidate knowledge of existing systems.

 Responsibilities

• Operation, maintenance, and evolution of large-scale Linux infrastructure.
• Advanced (Level 3) support for complex platform incidents.
• Automation of processes using scripting (BASH, Python) and infrastructure tools.
• Operation and management of distributed storage systems (Ceph).
• Monitoring and analysis of the platform using observability tools (Grafana and similar).
• Continuous improvement of system architecture and stability.
• Collaboration with international teams to absorb knowledge from legacy systems.
• Participation in on-call rotation.

 Professional profile

Must have

• +3 years of experience in Linux system administration.
• Strong scripting skills in BASH and Python.
• Experience with configuration and automation tools:
  • Puppet or SaltStack
  • Ansible or Terraform
• Hands-on experience operating Ceph storage clusters in production environments.
• Experience with monitoring and observability tools such as Grafana.
• Fluent English, required for international communication.

Nice to have

• Knowledge of SQL databases (MySQL, PostgreSQL).
• Solid understanding of networking fundamentals.
• Experience with container technologies (Docker/Kubernetes).
• Knowledge of CI/CD pipelines.
• Experience in highly distributed or high-availability environments.

Soft skills

• Technical curiosity and continuous learning mindset.
• Ability to work in complex environments with incomplete documentation.
• Pragmatic approach to problem solving.
• Team player in international environments.
• Proactive attitude to independently build technical context.
• Participation in an on-call rotation (approx. 1 week every 6).

 Benefits

• Hybrid working model across any of the Arsys offices in Logroño, Alcobendas, Valencia, Barcelona, or Seville, with broad flexible working hours aligned with team coordination needs.
• Opportunity to work on one of the most advanced and large-scale hosting platforms in Europe.
• Direct exposure to highly complex distributed systems at significant scale.
• International technical environment with cross-country collaboration.
• Participation in critical projects with direct impact on service stability.
• Continuous training and professional development within a global technology organization.

At Arsys we value diversity and welcome all applications regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Why You'll Love This Role: 

As a Senior Site Reliability Contractor, you will be involved in coding infrastructure automation with Terraform and Github Actions CI/CD. In this role, you will focus on improving our monitoring using Datadog, Sentry, and Cloudwatch. It will be critical to improve and automate our release processes to deploy Newsela services. You will have the opportunity to develop a rapport with a domain of application developers to improve infrastructure and monitoring for Newsela services in their ownership

What You'll Be Doing:

• Be on an on-call rotation to respond to incidents that impact Newsela.com availability and provide support for developers during internal and external incidents 
• Maintain and assist in extending our infrastructure with Terraform, Github Actions CI/CD, Prefect, and AWS services
• Build monitoring that alerts on symptoms rather than outages using Datadog, Sentry and CloudWatch
• Look for ways to turn repeatable manual actions into automations to reduce on-call toil
• Improve operational processes (such as deployments, releases, migrations, etc) to make them run seamlessly with fault tolerance in mind 
• Design, build and maintain core cloud infrastructure on AWS and GCP that enables scaling to support thousands of concurrent users
• Debug production issues across services and levels of the stack 
• Provide infrastructure and architectural planning support as an embedded team member within a domain of Newsela’s application developers 
• Plan the growth of Newsela’s infrastructure 

About You:

• Technical

  • Infrastructure as code: use Terraform and Github CI/CD for automation, containerize our environments (Docker, ECS), and leverage cloud technologies to meet our goals
  • Systems: manage, configure and troubleshoot operating system issues, storage (block and object), networking (VPCs, proxies and CDNs), and administer high-availability datastores (mySQL, Postgres, Neo4J) and Redis clusters
  • Monitoring and instrumentation: implement metrics in Datadog, Sentry, log management and related systems, and Slack/JIRA integrations
  • Engineering practices: availability, reliability and scalability, as well as disaster recovery
  • Work in a variety of languages: Shell, IaC, Python, SQL

  Execution

  • Planning: familiarity with agile methodologies; use epics, issues to drive projects
  • Organization: personal and team workload organization, OKR leadership
  • Management: able to self-organize and accomplish tasks asynchronously

  Collaboration and Communication

  • Leading and contributing to scope and designs for issues, epics, and OKRs
  • Contributing to Newsela architecture diagrams, process diagrams and runbook documentation
  • Completing Root Cause Analysis (RCA) investigations and perform readiness reviews
  • Improving team practices through code reviews, handoffs of work and incidents

  Influence and Maturity

  • Knowledge sharing, mentoring within SRE and developer teams
  • Self-awareness, handling conflict in the team, providing and receiving feedback
  • Maintaining good relationships with other engineering teams at Newsela that help improve the product
  • Accountability: willing to proactively step in and do the right thing while providing candid and constructive feedback
  •  

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits.

Why you’ll love working at Newsela:

• Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. 
• Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!
• Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! 
• Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.
• Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).
• Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela.
• Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Why You'll Love This Role: 

As a Sr. Software Engineer you will be part of the EveryDay Labs team within Newsela. Your work will have a direct and meaningful impact on student outcomes helping school districts reduce absenteeism and increase learning time for students who need it most. You’ll have the opportunity to work on both complex, existing systems and build new products from the ground up, giving you meaningful ownership and visibility into how your work drives impact. In this role, you’ll be part of a collaborative and mission-driven team where clean code, thoughtful design, and continuous improvement are core to how we work. You’ll engage in an environment that values constructive feedback, strong engineering practices, and shared problem solving, while also having the space to take initiative and make a tangible difference across our product, team, and the communities we serve.

What You'll Be Doing:

• Design, build, and maintain components of our software platform that support attendance analytics, process management, and family communication tools
• Maintain and improve our student and attendance data systems, ensuring they remain performant and scalable as they grow to support tens of millions of records
• Develop new features that enhance product capabilities and drive meaningful outcomes for schools and students
• Automate operational and monitoring processes to support system reliability and scalability
• Optimize and enhance our AWS infrastructure to improve performance, efficiency, and system resilience
• Contribute to technical discussions and help shape practical, scalable solutions, balancing speed, quality, and long-term maintainability
• Partner with cross-functional teams to translate product needs into technical solutions and deliver high-quality outcomes

About You:

• 5+ years of experience in software engineering, with a strong foundation in building scalable backend systems
• Advanced proficiency in our core stack (or similar technologies), including:
• Experience working with AWS infrastructure, including tools such as Terraform, ECS, RDS/Aurora, SES, and messaging systems like SQS/SNS
• Proven ability to manage multiple projects and priorities, maintaining strong attention to detail and delivering high-quality work on time
• Strong communication skills, with the ability to clearly articulate technical concepts, trade-offs, and decisions to a range of stakeholders
• Comfortable working in ambiguous and evolving environments, with a proactive and solutions-oriented mindset
• Experience collaborating across teams to drive alignment, communicate progress, and deliver against shared goals
• Experience operating in environments with broad scope and ambiguity, with the ability to work across multiple areas of the stack.
• Experience with education or education technology a plus
• Fluent in English (written and verbal) required

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

About the Team:

The Recipe Management System (RMS) Team is at the heart of CookUnity’s culinary innovation. Our team builds and maintains the systems that chefs rely on to create, manage, and scale their recipes seamlessly. RMS is a core part of CookUnity’s ChefOS Zone, supporting the entire meal lifecycle—from ideation to production—ensuring accuracy in ingredient sourcing, nutritional data, and compliance with dietary preferences.

We work closely with chefs, supply chain teams, and operations to integrate RMS with inventory management, order processing, and fulfillment. Our mission is to empower chefs with intuitive tools while ensuring efficiency and reliability in meal production at scale.

The Role:

We are looking for a Staff Backend Engineer to join our team who can also contribute on dashboards and internal app UIs. In this role, you will design, build, and maintain highly scalable backend services that power CookUnity’s core recipe management functionalities. You will work alongside other talented engineers, product managers, and designers to develop robust and efficient backend systems using Kotlin and Java, leveraging frameworks like Micronaut or Spring Boot and integrating Temporal for workflow automation.

This is an individual contributor (IC) role with a strong focus on backend architecture, performance, and scalability. If you enjoy solving complex problems, optimizing workflows, and working on mission-critical systems, this role is for you!

Responsibilities:

• Design, develop, and maintain backend services for the service using Kotlin and Java
• Architect scalable, resilient, and maintainable microservices using Micronaut or Spring Boot
• Implement workflow automation and orchestration using Temporal
• Optimize database interactions and performance (PostgreSQL, MySQL)
• Collaborate with frontend engineers, product managers, and designers to build seamless user experiences
• Ensure system reliability and uptime by implementing best practices in observability, logging, and monitoring
• Perform code reviews, contribute to best practices, and mentor junior engineers
• Work closely with DevOps to optimize CI/CD pipelines and infrastructure deployment
• Stay up-to-date with emerging technologies and drive innovation within the team

Minimum Requirements:

• 6+ years of backend development experience with Kotlin and/or Java
• Experience working with Micronaut or Spring Boot frameworks
• Hands-on Experience in React & Next.js
• Strong AI coding abilities and good practices
• Strong understanding of microservices architectures and distributed systems
• Proficiency in SQL databases like PostgreSQL or MySQL
• Experience building high-performance, scalable backend systems
• Strong problem-solving skills and a passion for clean, maintainable code
• Solid understanding of RESTful API design and best practices
• Familiarity with cloud services (AWS, GCP, or Azure)
• Strong communication skills and ability to work in a fast-paced environment
• Fluency with AI engineering tools

Preferred Requirements:

• Experience with message queues (Kafka, RabbitMQ, etc.)
• Exposure to GraphQL and event-driven architectures
• Experience in DevOps practices, containerization (Docker, Kubernetes), and infrastructure as code (Terraform)
• Background in food tech, operations, or marketplace platforms

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

About the Role

We are building a serverless edge compute platform — Lambda-style, but on Telnyx global edge network with VM-level isolation. You will help scale from 1 cluster to 8+, unblock the team on networking and security, and build the foundation for AI-first compute.

What You Will Do

• Deploy and manage Kubernetes clusters (RKE2/Rancher) across multiple cloud providers
• Build and maintain WireGuard VPN tunnels connecting Telnyx to isolated edge clusters
• Own Ansible automation for cluster provisioning and configuration
• Manage infrastructure-as-code with Terraform/OpenTofu
• Build out Prometheus metrics pipelines for billing and observability
• Harden security: network policies, firewall rules, air-gapping compliance

What You Bring

• 1-3+ years hands-on Kubernetes in production
• Strong networking fundamentals (VPNs, firewalls, NAT, routing)
• Infrastructure-as-code experience (Ansible, Terraform)
• Linux systems administration
• Security mindset — you think about attack surfaces

Nice to Have

• Firecracker, Kata Containers, or microVM isolation
• KNative or serverless infrastructure
• Rancher/RKE2 specifically

#LI-KG1
#Li-BRAZIL

The Mission

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in ML system design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests. 
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications 

Customer Experience 

• Confidently addresses client questions and identifies gaps in requirements with  proposed next steps. 
• Focus on delivering clear, actionable solutions that meet client goals

Collaboration 

• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding  and progress. 

Communication 

• Breaks down complex technical concepts for non-technical audiences in a clear, concise  manner. 
• Adapts communication style based on audience and context to improve clarity and decision-making. 

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

Benefits 

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

About the Role

We are seeking an experienced Site Reliability Engineer / Platform Engineer to join our team and help build and maintain a resilient, scalable infrastructure supporting our applications across multiple cloud providers. In this role, you will design and implement infrastructure solutions, automate operational processes, and work closely with development teams to ensure reliable, efficient systems that scale with our business.

Key Responsibilities

• Design, build, and maintain infrastructure across AWS, GCP, and Azure using Infrastructure as Code (IaC) principles
• Implement and optimize CI/CD pipelines using tools like Argo and CircleCI to enable rapid, reliable deployments
• Manage and scale Kubernetes clusters in production environments, ensuring high availability and optimal resource utilization
• Administer and optimize cloud databases including MongoDB, Redis, RDS, and other data stores for performance and reliability
• Develop monitoring, alerting, and observability solutions to identify and resolve issues before they impact users
• Automate routine operational tasks to reduce manual toil and improve system reliability
• Conduct incident response and post-mortem analysis to drive continuous improvement
• Collaborate with development teams to design systems with reliability, scalability, and operational excellence in mind
• Document infrastructure architecture, runbooks, and operational procedures
• Evaluate and implement new tools and technologies to improve platform capabilities

Required Qualifications

• 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure)
• Proficiency with Kubernetes for container orchestration and management
• Demonstrated expertise with IaC tools (Terraform, CloudFormation, Pulumi, or similar)
• Experience with CI/CD platforms, particularly Argo and/or CircleCI
• Solid understanding of database technologies including MongoDB, Redis, and relational databases (RDS)
• Proficiency in at least one programming or scripting language (Python, Go, Bash, etc.)
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch)
• Experience implementing and managing OpenTelemetry (OTEL) for distributed tracing, metrics, and logging
• Strong understanding of networking, security, and infrastructure best practices

Nice to Have

• Experience managing multi-cloud or hybrid cloud environments
• Familiarity with service mesh technologies (Istio, Linkerd)
• Knowledge of security hardening and compliance in cloud environments
• Experience with cost optimization in cloud infrastructure
• Contributions to open-source infrastructure or DevOps projects
• Certifications from major cloud providers

What We're Looking For

• Problem-solver who thrives on automation and reducing operational burden
• Clear communicator who can explain technical concepts to both technical and non-technical stakeholders
• Detail-oriented with strong attention to reliability and security
• Collaborative team player who enjoys mentoring others
• Self-motivated learner who stays current with infrastructure and cloud technology trends

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge cloud technologies and tools
• Collaborative environment focused on knowledge sharing and professional growth
• Remote or flexible work arrangement
• Continuous learning and development opportunities

About the Role

We are seeking an experienced Site Reliability Engineer / Platform Engineer to join our team and help build and maintain a resilient, scalable infrastructure supporting our applications across multiple cloud providers. In this role, you will design and implement infrastructure solutions, automate operational processes, and work closely with development teams to ensure reliable, efficient systems that scale with our business.

Key Responsibilities

• Design, build, and maintain infrastructure across AWS, GCP, and Azure using Infrastructure as Code (IaC) principles
• Implement and optimize CI/CD pipelines using tools like Argo and CircleCI to enable rapid, reliable deployments
• Manage and scale Kubernetes clusters in production environments, ensuring high availability and optimal resource utilization
• Administer and optimize cloud databases including MongoDB, Redis, RDS, and other data stores for performance and reliability
• Develop monitoring, alerting, and observability solutions to identify and resolve issues before they impact users
• Automate routine operational tasks to reduce manual toil and improve system reliability
• Conduct incident response and post-mortem analysis to drive continuous improvement
• Collaborate with development teams to design systems with reliability, scalability, and operational excellence in mind
• Document infrastructure architecture, runbooks, and operational procedures
• Evaluate and implement new tools and technologies to improve platform capabilities

Required Qualifications

• 1-3 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure)
• Proficiency with Kubernetes for container orchestration and management
• Demonstrated expertise with IaC tools (Terraform, CloudFormation, Pulumi, or similar)
• Experience with CI/CD platforms, particularly Argo and/or CircleCI
• Solid understanding of database technologies including MongoDB, Redis, and relational databases (RDS)
• Proficiency in at least one programming or scripting language (Python, Go, Bash, etc.)
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK, CloudWatch)
• Experience implementing and managing OpenTelemetry (OTEL) for distributed tracing, metrics, and logging
• Strong understanding of networking, security, and infrastructure best practices

Nice to Have

• Experience managing multi-cloud or hybrid cloud environments
• Familiarity with service mesh technologies (Istio, Linkerd)
• Knowledge of security hardening and compliance in cloud environments
• Experience with cost optimization in cloud infrastructure
• Contributions to open-source infrastructure or DevOps projects
• Certifications from major cloud providers

What We're Looking For

• Problem-solver who thrives on automation and reducing operational burden
• Clear communicator who can explain technical concepts to both technical and non-technical stakeholders
• Detail-oriented with strong attention to reliability and security
• Collaborative team player who enjoys mentoring others
• Self-motivated learner who stays current with infrastructure and cloud technology trends

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge cloud technologies and tools
• Collaborative environment focused on knowledge sharing and professional growth
• Remote or flexible work arrangement
• Continuous learning and development opportunities

About the Team:

Our company is dedicated to building tools and systems that empower our Customer Experience team to provide exceptional service. We believe in the power of technology to transform customer interactions and are looking for engineers who are passionate about making a meaningful impact. Join us and help shape the future of customer experience.

The role:

You will report to the Engineering Manager’s squad as a Full Stack Engineer. You will collaborate with 2 other engineers in your squad, focusing on developing and enhancing tools and systems that support our Customer Experience (CX) team and improve our customer interactions. You will work closely with Product Managers, Product Designers, and CX specialists to build and optimize solutions that directly impact customer satisfaction and engagement.

This is our current stack:

• Languages: Kotlin, Javascript, Typescript
• Frameworks: ReactJS, Redux, Apollo GraphQL, NestJS, NextJS
• Infrastructure: AWS, Kubernetes, Terraform, MySQL, PostgreSQL, Snowflake, Redis, DataDog, Segment
• Methodology: Agile
• Architecture: Service Oriented

Responsibilities:

• Owning the design and implementation of features within our Javascript stack that engage customers and have a meaningful impact on people’s lives.
• Iterating on new and existing features to improve user experience and performance.
• Actively contribute to the adoption of strong software architecture, development of best practices, and new technologies.
• Improving the maturity of our technical stack with engineering best practices.
• Being part of the code review process and helping to mentor other engineers.
• Contribute technically to projects by being a hands-on coder, removing roadblocks, and repairing technical issues.
• Partner with members of Product, Growth, Marketing, Customer Experience and other teams to continually refine and improve our product in an agile process.
• Helping to have higher levels of uptime & supporting the on-call rotation that will help the business run 24/7.

Qualifications:

• Experience: At least 3+ years of experience as a Software Engineer with a focus on developing tools and systems for Customer Experience or similar fields.
• Backend Interaction: Strong understanding of interacting with and building backend REST APIs.
• Service-Oriented Architecture: Strong knowledge of service-oriented architectures.
• Proactive Improvement: Ability to proactively identify opportunities to improve systems and processes.
• Testing: Experience implementing and maintaining unit tests and end-to-end (e2e) tests.
• Team Environment: Enjoy working in small teams within a fast-paced startup environment.
• Leadership Potential: Excitement about the opportunity to grow into a leadership role as the company expands.
• Fluency with AI engineering tools.

Preferred requirements:

• Advanced knowledge of AI within CX environments
• Knowledge of mobile app development, such as React Native

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD.

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:  

• Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
• Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
• Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
• Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
• At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
• Hands-on experience with Apache Iceberg (required).
• Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
• Experience preparing data architectures for visualization tools and operational/management reporting.
• Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
• Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

• Apache Airflow (MWAA experience preferred) or native AWS orchestration.
• Familiarity with dbt, Airbyte, or Fivetran.
• Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

• Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
• Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
• Strong ownership of end-to-end data quality and system availability.
• Clear communicator who can translate business needs into technical solutions. 

We are seeking a Senior AWS Cloud / DevOps / Platform Engineer who operates with a high level of autonomy and technical leadership to design, build, and operate scalable, secure AWS environments.

This role is ideal for experienced engineers who not only have deep hands-on AWS expertise, but can also independently drive architecture decisions, lead implementations end-to-end, and proactively identify improvements across cloud infrastructure, networking, and automation.

You will partner with DevOps, Security, and Application teams while serving as a key technical owner for cloud platform reliability, scalability, and performance.

Key Responsibilities

• Lead the design, deployment, and ongoing optimization of AWS infrastructure using Infrastructure as Code (IaC) (CDK, CloudFormation, Terraform)
• Own AWS networking architecture and implementation, including:
  • VPC design, subnet strategy, and routing
  • Client VPN and site-to-site VPN
  • Internet Gateways, NAT Gateways
  • Security Groups and Network ACLs
  • VPC Peering, Transit Gateway, and PrivateLink
• Architect and support hybrid and multi-account AWS environments at scale
• Independently diagnose and resolve complex networking issues, including VPN, Direct Connect, and routing challenges
• Drive CI/CD and infrastructure automation initiatives in collaboration with DevOps teams
• Proactively monitor and optimize cloud environments for performance, cost, scalability, and availability
• Lead incident response, root cause analysis, and implementation of preventive measures
• Ensure adherence to AWS security best practices and compliance standards
• Produce and maintain high-quality technical documentation and architectural diagrams

Required Skills & Experience

• 5–8+ years of experience in cloud, infrastructure, or DevOps engineering
• Strong hands-on expertise with AWS services, including:
  • EC2, VPC, IAM, ALB/NLB, Route 53
  • S3, RDS, CloudWatch
• Advanced networking knowledge, including:
  • TCP/IP, DNS, HTTP/S
  • CIDR design, subnetting, and routing strategies
  • Firewalls, load balancing, and secure network design
• Proven experience designing and managing Infrastructure as Code solutions
• Strong Linux systems knowledge
• Demonstrated ability to independently troubleshoot and resolve complex system and network issues
• Experience operating in multi-account AWS environments (AWS Organizations, cross-account access)

Education (Required)

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field from an accredited university in LATAM (e.g., Argentina, Chile, México, or equivalent) is required

Soft Skills

• Strong ownership mindset with the ability to work independently and drive outcomes
• Excellent problem-solving and analytical skills
• Ability to clearly communicate complex technical concepts in English
• Proactive, self-directed, and highly accountable
• Collaborative approach with the ability to influence across teams

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

The Role:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally you’ve worked with at least one devops team, and in at least one flavor of agile.  If you haven’t we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

What you’ll bring:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., ability to connect technical solutions to a business need).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in technical design of systems, schemas, or pipelines and offer sound guidance

What we’re looking for:

• 3+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, C++
• MongoDB + Kafka are nice to have!
• Source Control Systems
• 2+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or Datastage
• Devops tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, mySQL, Oracle, MS SQL Server, Redshift
• 2+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 2+ years of professional software and consulting experience
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Software Engineer to join our Data Platform team! 

In this position, you will play a pivotal role within our expanding Data team, to help build and scale our next-generation data platform, starting with foundational systems like Master Data Management (MDM) and expanding into a broader event-driven ecosystem. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. This is a highly impactful, hands-on role where you’ll design and implement distributed, event-driven systems that power analytics, data science, and operational use cases across the company.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Build core services for an event-driven, source-of-truth data platform on AWS
• Develop and operate Kafka-based pipelines and stream consumers
• Design systems where events are the source of truth and state can be rebuilt via replay
• Define patterns for idempotency, ordering, retries, and DLQs
• Design for auditability, replay, recovery, and rollback using S3 + Iceberg
• Build APIs and purpose-driven projections (read models) for downstream systems
• Design and evolve scalable, reliable distributed systems
• Make thoughtful tradeoffs across consistency, latency, and cost
• Establish best practices for event-driven architecture and data modeling
• Develop and orchestrate streaming and ELT pipelines from databases, APIs, and event streams
• Contribute to data warehouse (e.g., Snowflake) and data activation use cases where needed
• Integrate AI/LLM capabilities into data workflows and internal data products
• Monitor and optimize system performance, cost, and reliability
• Collaborate across engineering, data, and product teams to deliver impactful solutions 

You 

• 7+ years of backend or data engineering experience
• Strong programming skills in Java, Kotlin, Python, or Go
• Solid understanding of distributed systems and system design
• Hands-on experience with Kafka (or equivalent)
• Strong understanding of:
• Topic design, partitioning, consumer groups
• Idempotency, ordering, delivery semantics
• Replay, backfills, and failure handling
• Experience designing systems where event streams drive state and projections
• Strong experience with AWS (MSK, S3)
• Working knowledge of Snowflake or similar data warehouse
• Strong SQL and experience building ELT/streaming pipelines
• Strong experience with Postgres/MySQL
• Solid data modeling and performance optimization skills
• Understands event logs vs read models tradeoffs
• Ability to design systems from scratch and evolve architectures
• Familiarity with LLMs/AI tooling (e.g., embeddings, RAG, prompt design)
• Strong ownership mindset with end-to-end execution

Preferred

• Experience with Apache Iceberg
• Familiarity with Flink or stream processing frameworks
• Experience with CDC tools (e.g., Debezium)
• Experience with DBT, Reverse ETL, or modern data stack tools
• Experience with Terraform, Kubernetes (EKS)
• Exposure to MDM, identity, or data governance systems
• Familiarity with vector databases or AI-powered data systems

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

The Opportunity

This is a senior technical client leadership role that blends deep hands-on ML expertise with strategic advisory and consulting skills. You will be the most experienced ML voice across a diverse and expanding book of customer engagements — from early-stage companies bringing ambitious ML ideas to market, to established enterprises modernizing how they build and operate AI systems on AWS.

You will shape strategy, influence architecture, and leave every team you touch better than you found it. You bring the scientific depth to design and evaluate models rigorously, the engineering depth to architect production ML systems at scale, and the consulting instincts to translate both into business value for customers.

If you have led the hard conversations, shaped the architecture decisions that mattered, and built the things others benchmark against — and you are looking to do that across a growing portfolio of varied and interesting customers — this is the role for you.

What You'll Do

• Lead end-to-end ML assessments across infrastructure, data pipelines, model lifecycle, and organizational readiness — producing recommendations that drive executive decision-making and earn Caylent the next engagement.
• Partner with sales and solutions teams through the proposal and scoping phase, contributing the technical depth needed to shape well-grounded statements of work.
• Serve as the senior technical authority on client engagements — possibly across multiple projects simultaneously — providing architectural guidance, ensuring technical quality from your project team members, and getting hands-on when the engagement demands it, without owning day-to-day implementation responsibilities.
• Own or orchestrate high-quality POCs that give customers confidence before committing to a larger initiative.
• Advise customers on ML operations standards and architecture — covering MLOps pipeline design, model lifecycle management, LLMOps patterns, and production monitoring frameworks — translating operational complexity into decisions and guardrails their teams can own and sustain.
• Shape how Caylent wins its most technically complex opportunities — contributing the architectural thinking and credibility that turns prospects into customers.
• Strengthen the ML practice from the inside — through peer guidance, technical interviews, and contributions to accelerators, reference architectures, and thought leadership content.

What You Bring

The non-negotiables

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether traditional ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards and decisions that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization (quantization, vLLM), and distributed training (DeepSpeed, FSDP) — combined with RAG and agentic system design, including multi-agent architectures, event-driven workflows, MCP integration, and human-in-the-loop patterns on AWS. Technical authority to prescribe the right approach and set architectural standards that teams can execute against.
• Proven ability to operate independently in complex customer environments — navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Hands-on experience designing and deploying SRE agents and AI-driven operations workflows in production — spanning automated incident detection, triage, and remediation — with the ability to integrate across observability platforms and translate AI operations outcomes into measurable business value.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI

AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)

Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts

AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly

Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue

Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate

Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama

MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness

LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation

Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers.  We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.  You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

• Work with a team to deliver machine learning solutions on AWS for customers
• Participate in and contribute to daily standup meetings
• Develop and implement ML models, MLOps, and analytics
• Big data processing and preparation of training data for models

Your Qualifications

• Strong experience in building ML models for real world applications
• Strong experience in at least one of these:
• AWS ML Services/SageMaker
• ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
• MLOps tools such as MLflow, Kubeflow, Airflow
• Advanced analytics using time series forecasting and/or inferential statistics
• Strong experience in one or more of these data processing solutions:
• Big data processing platforms like Spark, Hadoop, or streaming platforms
• Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
• Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
• Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
• Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
• Excellent written and verbal communication skills

Benefits 

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs. 

The Mission

We are seeking an exceptional Software Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and  is passionate about working with our customers, partners, and colleagues to drive innovation forward.
Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
● Focus on delivering clear, actionable solutions that meet client goals

Collaboration
● Facilitates alignment across stakeholders or technical priorities and deliverables.
● Navigates differing perspectives with professionalism to ensure shared understanding and progress..

Communication
●Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
● Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

● 5+ years of proven experience in software development and cloud-native systems.
● Strong background in established engineering practices and scalable architectures.
● Expertise in web technologies (HTML, CSS) and frameworks (React, Vue, Angular, MVC .Net, etc.).
● Proficiency in server-side scripting (Python, Node.js, PHP, Ruby, etc.).
● Deep knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
● Experience in API integrations across applications, vendors, and cloud environments.
● Understanding of modern application architectures (event-based systems, queues, microservices).
● Development experience on a major cloud platform (AWS, Azure, or GCP).
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proven ability to lead a workstream and support others while contributing individually.
● Experience configuring AWS resources.

Preferred Qualifications

● BS in a computing-related field, or commensurate experience.
● Experience with testing and automation.
● Experience with UI/UX.
● Experience with Large Language Models (LLM) and Generative AI
● Experience with app dev acceleration tools like Amazon Q Developer, GitHub CoPilot, Cursor.AI, or similar.
● Experience building and maintaining CI/CD pipelines.
● Experience with infrastructure as code tooling (SAM, Cloudformation, Terraform, etc).

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

The Mission 

We are seeking an exceptional Principal Architect to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise in cloud architecture and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignments

● Serve as a technical advisor and thought leader across multiple workstreams and strategic customer engagements.
● Collaborate with clients to understand business goals and design high-impact, cloud solutions.
● Lead discovery sessions, create and present technical artifacts, and define long-term architectural strategy.
● Guide small teams or oversee larger teams through implementation and delivery.
● Contribute to Agile ceremonies and provide architectural direction across internal and external projects.
● Create and share public-facing content that showcases Caylent’s innovation and technical leadership.
● Support pre-sales through proposal development, scoping, and technical estimation.
● Mentor Architects and Engineers across projects and practices to elevate technical execution and growth.
● Represent Caylent with delivery excellence and deep technical leadership.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Builds trust with senior stakeholders through transparency, strategic updates, and reliable delivery.
● Proactively identifies and mitigates risks that could impact customer success or project alignment.

Collaboration
● Facilitates priority alignment and conflict resolution across multi-stakeholder environments.
● Guides cross-functional teams through challenging scenarios with calm, strategic leadership.

Communication

● Handles escalations and scope-related disagreements with professionalism, clarity, and confidence.
● Remains composed in high-stakes or unexpected situations, reinforcing alignment and proposing actionable next steps.

Technical Qualifications

● 5+ years of experience as an Architect in enterprise environments, preferably in a consulting capacity.
● Ability to clearly communicate technical objectives and solutions while cultivating professional client relationships.
● Demonstrated critical and strategic thinking across business, product, and technical challenges.
● Strong expertise in serverless development using API Gateway, Lambda, S3, SNS, SQS, and CloudFront.
● Hands-on experience managing AWS environments and implementing Infrastructure-as-Code (IaC).
● Advanced experience with DevOps automation, including containerization, API management, and multi-cloud solutions.

Preferred Qualifications:

• Experience with:
  
  • Migrations
  • CI/CD practices
  • Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK, Pulumi)
  • Scripting
  • Containers (Kubernetes, Docker, ECS, Fargate)
  • Cloud security best practices
  • Networking
  • Incident, release, problem, and change management
• Experience working in Agile delivery environments.

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

THE ROLE:

We are looking for a well-rounded, flexible Data Engineer with an interest in translating business goals into concrete solutions. You’ve been part of more than one team, you’ve demonstrated initiative on most of your projects, and you can tell us in technical detail what you did to help. Ideally, you’ve worked with at least one DevOps team, and in at least one flavor of agile.  If you haven’t, we won’t hold that against you. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.

WHAT YOU’LL DO:

• Ability to realign client expectations when challenges arise (delays, change in scope, etc.)
• Proactively, and independently able to research knowledge needed to perform tasks (i.e., knows when to ask for help, and doesn't spend significant time on already-solved issues)
• You have the ability to identify potential technical solutions that apply to an internal/client situation (i.e., the ability to connect technical solutions to business needs).
• You enjoy working with peers / new hires to help them understand and apply best practices
• You can prioritize multiple tasks and communicate the overall status of a project.
• You enjoy participating in the technical design of systems, schemas, or pipelines and offer sound guidance

WHAT YOU’LL BRING:

• 4+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging:
• Scripting languages like Python, Ruby
• Compiled languages like Java, Scala, and C++
• Source Control Systems
• 4+ years of experience in Data Management Tools: 
• Pipeline management tools like Airflow or Luigi, and/or enterprise ETL tools like Informatica, SSIS or DataStage
• DevOps tools like Terraform, Kubernetes, Docker
• Database Management Systems like BigQuery, Snowflake, PostgreSQL, MySQL, Oracle, MS SQL Server, Redshift
• 4+ years of discovery and assessment of a client’s portfolio, tools, and applications
• 4+ years of professional software and consulting experience
• Experience managing the ingestion of data into a DWH
• Via APIs, ETL tools, batch feeds, etc.
• Experience working in cloud environments (AWS or GCP) is a plus.
• Experience with Unix-based OSes a plus!

WHAT DO WE OFFER?

• We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!
• Premium healthcare through OSDE for the employee and their immediate family members
• Mendel prepaid card with a monthly allowance for grocery purchases
• Monthly reimbursements for Wi-Fi/electricity expenses
• Monthly reimbursements for training/English classes
• 100% covered “Plan Total” membership at Sportclub
• Access to a our benefits platform through Bonda
• A flexible vacation policy

WE SUPPORT YOU BEING YOU

DEPT® is an equal opportunity employer (EOE). We believe our work is at its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s lived experience, race, color, religion, sex, national origin, age, disability, and genetic information. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.

We are a B Corp-certified company passionate about purpose-driven work. Our hope is that you can feel good about the contributions DEPT® is making to the world, and we always have an open door for your ideas in making the world a better place.

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture.

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Key Responsibilities

• Build scalable, maintainable software solutions across the entire stack
• Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows.
• Diagnose bugs and address root causes to enhance stability; participate in on call rotations
• Actively engage in code reviews and technical discussions
• Systematically identify and mitigate technical debt
• Stay current with emerging technologies and participate in learning opportunities

Core Requirements

• 3+ years as a developer working with modern web frameworks (Rails, Django, or similar)
• Experience with front end technologies (React, Angular, TypeScript)
• Full stack development capability
• Ability to work effectively in geographically distributed, agile environments
• Active daily use of AI coding tools (Claude Code, Cursor, or similar) with demonstrated productivity gains. We are looking for engineers who have integrated AI into their development workflow, not just experimented with it.

Preferred Qualifications

• Specific expertise in Ruby on Rails, React, and React Native
• Experience building reusable AI workflows, skills, or tooling that others can use
• Computer Science degree (B.Sc. or higher)
• Infrastructure as code experience (AWS CDK, Terraform)
• Data platform experience (Snowflake, Fivetran, dbt)
• Early stage startup background

Compensation Ranges:

Range: $65,000–$80,000 USD

Leveling & Location:

Thanx uses structured internal levelling and location-based compensation. Final levelling and compensation are determined through the interview process based on experience, scope, and work location, and any offer will align to the appropriate range.

Application Process:

• This position is an existing vacancy.
• We may use artificial intelligence (AI) tools to assist in screening or assessing applications; human review will always remain part of the process.

Ready to change your life? Apply now!

We are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Thanx will consider qualified applicants with arrest or conviction records for employment in a manner consistent with local requirements.

Key Responsibilities

• Build scalable, maintainable software solutions across the entire stack
• Develop using AI augmented workflows. Our engineers use Claude Code as their primary development tool with MCP connections to production data, Jira, Notion, Sentry, and Datadog. We expect engineers to actively leverage and improve these workflows.
• Diagnose bugs and address root causes to enhance stability; participate in on call rotations
• Actively engage in code reviews and technical discussions
• Systematically identify and mitigate technical debt
• Stay current with emerging technologies and participate in learning opportunities

Core Requirements

• 6+ years developing with modern web frameworks (Ruby on Rails, Django, or similar)
• Experience with front end technologies: React, Angular, TypeScript, or comparable tools
• Full stack capability with potential specialization in one area
• Strong communication skills for remote collaboration and cross functional discussions
• Active daily use of AI coding tools (Claude Code, Cursor, or similar) with demonstrated productivity gains. We are looking for engineers who have integrated AI into their development workflow, not just experimented with it.

Preferred Qualifications

• Specific expertise in Ruby on Rails, React, and React Native
• Experience building reusable AI workflows, skills, or tooling that others can use
• Computer Science degree (B.Sc. or higher)
• Infrastructure as code experience (AWS CDK, Terraform)
• Data platform experience (Snowflake, Fivetran, dbt)
• Early stage startup background

Compensation Ranges:
L4 Range: $75,000–$95,000 USD
L5 Range: $90,000–$110,000 USD

Leveling & Location:

Thanx uses structured internal levelling and location-based compensation. Final levelling and compensation are determined through the interview process based on experience, scope, and work location, and any offer will align to the appropriate range.

Application Process:

• This position is an existing vacancy.
• We may use artificial intelligence (AI) tools to assist in screening or assessing applications; human review will always remain part of the process.

Ready to change your life? Apply now!

We are proud to be an Equal Employment Opportunity company. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Thanx will consider qualified applicants with arrest or conviction records for employment in a manner consistent with local requirements.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description:

We are seeking an AI Enablement Engineer to design and scale the semantic layer that turns raw restaurant data into a shared language for AI, analytics, and decision-making across a global Quick Service Restaurant (QSR) enterprise. This is a foundational role in our AI strategy: the semantic layer you build is what makes natural language analytics, automated reporting, and intelligent AI agents possible at enterprise scale. Your focus is bridging business meaning and data, ensuring that AI systems, analytics platforms, and end users consistently interpret critical metrics like same-store sales, speed of service, traffic, and labor productivity in a standardized, governed way. When an AI agent or a franchisee asks "how did my restaurant perform last week," the accuracy and trust of that answer starts with your work.
You will define and operationalize a hybrid semantic layer strategy that combines governed, metadata-driven models with AI-powered context engineering to enable scalable, accurate, and self-service insights across restaurants, corporate teams, and franchisees, unlocking the building blocks for conversational analytics and autonomous AI workflows.

Key Responsibilities – Semantic Layer Strategy & Architecture

• Define and implement an enterprise semantic layer that standardizes metric definitions and aligns business questions to data
• Establish canonical definitions for core KPIs (e.g., same-store sales, speed of service, traffic, labor productivity)
• Design mapping between business concepts and underlying data models across systems (POS, digital, supply chain, finance)
• Provide structured metadata to power AI systems, copilots, and analytics tools. 

Key Responsibilities – Hybrid Semantic Model Implementation

• Build and maintain manual, metadata-driven semantic models for high-criticality domains (finance, core KPIs, franchise reporting)
• Enable AI-driven context engineering for exploratory analytics, operational insights, and ad-hoc queries
• Define how both approaches coexist in a unified architecture

Key Responsibilities – Tooling & Platform Enablement

• Implement semantic layer tooling (DBT, semantic views, YAML/Markdown metadata, data catalogs like Atlan)
• Enable downstream consumption by BI tools, APIs, and AI applications
• Create reusable abstractions and templates to scale globally

Key Responsibilities – AI & Context Engineering Integration

• Enable AI systems (LLMs, agents, copilots) to leverage semantic metadata
• Support context engineering using data lineage, metadata, example queries, and repository context
• Improve AI reliability by grounding outputs in governed definitions

Key Responsibilities – Governance & Data Quality

• Establish governance processes for metric definitions
• Ensure alignment across regions, brands, and franchise reporting
• Implement validation, versioning, and change management
• Define guardrails to prevent inaccurate analytics outputs

Key Responsibilities – Adoption & Enablement

• Partner with business and technical teams to drive adoption
• Educate stakeholders on standardized metrics and self-service analytics
• Provide documentation, playbooks, and training

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field
• 5+ years of experience in data engineering, analytics engineering, or AI/ML systems
• Strong experience with semantic modeling or analytics engineering
• Proficiency in SQL and Python
• Experience with DBT and modern cloud data platforms
• Understanding of APIs and distributed systems

Preferred Qualifications

• Experience in QSR, retail, or franchise environments
• Experience with semantic/metrics layers
• Familiarity with data catalogs (e.g., Atlan)
• Experience with generative AI, LLMs, and context engineering
• Knowledge of data lineage and governance frameworks

Additional Expectations

• Design and maintain CI/CD pipelines, including automated builds, testing, and deployment of solutions
• Develop and execute functional and regression test suites to validate metric accuracy, data completeness, and semantic model behavior across environments
• Implement automated data and code quality checks and integration tests within the deployment pipeline to catch issues before they reach production
• Apply software engineering best practices including version control, code review, branching strategies, and environment promotion (dev/staging/prod) to all semantic layer and metadata assets
• Monitor platform performance, troubleshoot pipeline failures, and maintain observability across semantic layer infrastructure using logging, alerting, and health checks
• Define and manage infrastructure as code (e.g., Terraform, CloudFormation) for data platform resources, ensuring reproducible and auditable environment provisioning across development, staging, and production
• Implement and maintain role-based access controls, secrets management, and security policies across semantic layer tooling, data platform resources, and API integrations to ensure compliance with enterprise security standards

Key Skills & Competencies

• Systems thinking across data, analytics, and AI
• Ability to translate business metrics into data models
• Balance governance with scalability
• Strong stakeholder management
• Clear communication of complex concepts

Success Metrics

• Adoption of standardized metric definitions
• Reduction in reporting inconsistencies
• Improved accuracy of AI-generated insights
• Increased self-service analytics usage
• Faster time-to-insight

Reporting Structure

• Reports to: VP / Director of Data, AI, or Platform Engineering
• Works closely with: Data Engineering, Analytics, AI/ML, Finance, Operations, Franchise teams

Summary
The AI Enablement Engineer (Semantic Layer) establishes a shared language between business and data. By combining governed semantic models with AI-driven context understanding, this role enables scalable, accurate, and trusted analytics and AI across a global QSR enterprise.

Location: LATAM

You will deploy and maintain our edge data centers for compute, AI and storage, contribute to the installation, migration, updates and integration of hypervisor services and modules. Maintain and optimize active projects. Participate in the development process of new projects and document the architecture and components.

Responsibilities

• Design, deploy, and manage highly available, scalable, and secure infrastructure solutions which include: Kubernetes on bare metal, Proxmox and Ceph
• Design and maintain Kubernetes, Ceph and Proxmox platforms for engineering team consumption
• Ensure that hardware design meets business and technical requirements, including performance, scalability, and reliability
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of virtualization solutions
• Ensure the reliability, performance, and scalability of our edge data centers
• Troubleshoot and resolve complex infrastructure issues, ensuring optimal performance and reliability
• Develop and maintain infrastructure-as-code (IaC) modules and configuration management to automate deployment, management, and monitoring processes

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years production experience
• Proven experience in developing Ansible roles and playbooks with idempotency.
• Proficiency in creating Terraform/Tofu modules.
• Strong GitOps mindset.
• In-depth knowledge of Linux networking
• Strong problem-solving and troubleshooting skills
• Familiarity with KVM/QEMU virtualization.
• Understanding of Ceph storage solutions.

Preferred:

• Experience with VXLAN, software-defined networking, and SR-IOV for smart NICs.
• Familiarity with the BGP protocol and configuring FRR or Bird.
• Experience with Terragrunt.
• Proficiency in using Ansible Tower or AWX.
• Proficiency in Python

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

You will deploy and maintain our edge data centers for compute, AI and storage, contribute to the installation, migration, updates and integration of hypervisor services and modules. Maintain and optimize active projects. Participate in the development process of new projects and document the architecture and components.

Responsibilities

• Design, deploy, and manage highly available, scalable, and secure infrastructure solutions which include: Kubernetes on bare metal, Proxmox and Ceph
• Design and maintain Kubernetes, Ceph and Proxmox platforms for engineering team consumption
• Ensure that hardware design meets business and technical requirements, including performance, scalability, and reliability
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of virtualization solutions
• Ensure the reliability, performance, and scalability of our edge data centers
• Troubleshoot and resolve complex infrastructure issues, ensuring optimal performance and reliability
• Develop and maintain infrastructure-as-code (IaC) modules and configuration management to automate deployment, management, and monitoring processes

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing Ansible roles and playbooks with idempotency.
• Proficiency in creating Terraform/Tofu modules.
• Strong GitOps mindset.
• In-depth knowledge of Linux networking
• Strong problem-solving and troubleshooting skills
• Familiarity with KVM/QEMU virtualization.
• Understanding of Ceph storage solutions.

Preferred:

• Experience with VXLAN, software-defined networking, and SR-IOV for smart NICs.
• Familiarity with the BGP protocol and configuring FRR or Bird.
• Experience with Terragrunt.
• Proficiency in using Ansible Tower or AWX.
• Proficiency in Python

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Global Resolution Engineer (GRE) – Networking SME at WEKA, you will serve as a top-tier technical escalation resource with deep specialization in networking for high-performance computing (HPC), AI/ML, and enterprise environments. You will be embedded in the GRE team and work cross-functionally with Customer Success, Engineering, and Product to resolve critical customer issues, influence product networking design, and improve global support readiness.

You will combine your expertise in modern networking technologies (Ethernet, Infiniband, RDMA, DPDK, UCX) with an understanding of WEKA’s unique networking stack and deployment architectures, helping customers achieve maximum performance, stability, and scalability in demanding environments.

As a GRE - Networking SME you'll: 

• Serve as the primary escalation point for complex customer issues related to networking, fabric design, connectivity, and performance in WEKA deployments.
• Troubleshoot Layer 1–4 networking problems in high-throughput, low-latency environments, including AI/ML pipelines and HPC clusters.
• Collaborate with Customer Success Engineers to mentor, review case strategy, and elevate overall team networking competence.
• Engage in proactive problem prevention by analyzing field data to identify emerging patterns, bottlenecks, or systemic flaws in network configurations.
• Maintain and evolve WEKA’s Known Issues Database, Technical Advisories (WTAs), and Knowledge Base (KB) with network-centric content.
• Partner with the Development team to provide detailed root cause analyses and influence future product capabilities and diagnostics tools.
• Conduct deep-dive training sessions on advanced networking topics for internal support teams and key customers.
  Participate in technical design reviews, both internally and with customer architecture teams, to ensure networking best practices are followed.
• Continuously improve WEKA’s internal tooling for packet capture, latency analysis, flow visualization, and path validation.
• Represent GRE in cross-functional architecture reviews involving customers, field engineers, and partners, with a focus on networking readiness and scalability.
• Support global 24/7 operations through on-call participation and high-severity incident resolution.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; equivalent experience accepted.
• 15+ years in advanced technical support, network engineering, or network architecture roles in enterprise, cloud, or HPC environments.
• Demonstrated ability to act as a technical lead in multi-team escalations and customer-critical situations.
• Experience working with or supporting cloud providers (AWS, Azure, GCP) and hybrid deployments is preferred.
• English fluency required; additional languages a plus.
• Flexibility to support global operations, including on-call rotation and occasional travel.
  
  

Additional required skills:

• Subject matter expertise in modern data center networking, including Ethernet (10/25/40/100/400G), Infiniband (HDR/NDR), RDMA (RoCE), DPDK, and UCX.
• Extensive experience with multi-vendor enterprise switching and routing platforms (Arista, NVIDIA/Mellanox, Cisco, Juniper).
  Deep understanding of TCP/IP, LACP, ECMP, jumbo frames, MTU tuning, congestion control, and QoS in storage and compute networks.
• Hands-on experience with network telemetry tools, performance tuning, and link-level diagnostics (ethtool, iperf, perfquery, ifconfig, fabric utilities).
• Advanced Linux systems administration with emphasis on network stack debugging and tuning (sysctl, iptables/nftables, routing tables).
• Proven ability to resolve complex technical issues in distributed systems, particularly in storage-heavy, compute-intensive workloads.
• Excellent written and verbal communication skills, with the ability to convey technical detail clearly and concisely.
• Familiarity with WEKA’s architecture and networking requirements is a strong plus.
• Ability to lead architectural discussions on datacenter fabrics for scale-out systems (AI training clusters, hybrid cloud architectures, etc.).
• Strong documentation skills; able to produce clear internal guides and customer-facing technical content.
  Bonus: Experience with Kubernetes networking (CNI plugins, pod networking), Terraform, Ansible, or scripting in Python/Bash for automation.

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.  We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience. 

About the role

As a SRE / Performance Engineer at Fever you will leverage your expertise in Kubernetes to address performance issues in Cloud Native Environments, utilizing strong autonomy and research capabilities for effective debugging and problem-solving.

Join us if you thrive in a fast-paced environment and are excited about pushing the boundaries of what's possible. This is an opportunity to have real impact in a high-growth global category leader.

About you

Must Have Skills

• Strong understanding of Kubernetes, Linux administration, and troubleshooting. Experience with high-traffic load Kubernetes Clusters in mixed Cloud Native environments.
• Proficiency in REL metrics for Kubernetes and debugging unknown issues.
• Strong knowledge of Networking, TLS, and HTTP reverse proxies.
• Can communicate in English fluently and are comfortable collaborating with colleagues remotely.
• Team player - passionate about new technologies.
• Willingness to implement a robust Performance Observability, Incident Response foundations and Dynamic Tracing tools.

If would be nice if you have: 

• Knowledge on tools such as Terraform, Ansible.
• Systems, services monitoring, and alerting tools (Datadog, Zabbix, Prometheus, Cloudwatch).
• Understanding of Centralized logging techniques (ELK/EFK Stack), visualization (Linux command line, Kibana).
• The ability to provide consistent documentation, Git for version control.
• Programmatic and reproducible systems operations.
• Knowledge on AWS services and EBPF.

Benefits & Perks

• "Relación de dependencia" contract.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Osde 410 as medical insurance
• Home office friendly anywhere in Argentina
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• English Lessons
• Gympass
• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. (Including Base, Variable, and Stock Options)

About the process

Fever aims to provide the best-fastest possible experience to our candidates. This is how it would look like:

• Talent Interview - 1h: An intro to Fever, our culture and a conversation about your background and experience.
• Technical Assignment: Your opportunity to demonstrate all you know! We would like to receive it back within 3 days. 
• Team Interview - 2h: A discussion about your proposed solution to the technical challenge and your chance to make sure you know everything you need about Fever.
• Engineering Manager Interview - 1h: A deep dive into your technical expertise and your opportunity to ask anything you need to know about your day to day at Fever. 

About the job

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What You’ll Be Doing

This is a customer-facing Premium Services role that combines deep, hands-on Ceph architecture and administration with the high-touch, outcome-driven approach of a Senior Designated Services Engineer (DSE). You will be the primary Ceph subject matter expert for assigned strategic customers and internal initiatives, owning the design, deployment, lifecycle operations, and performance of Ceph-based object storage environments. In parallel, you will play a key role in ensuring WEKA's Customer Success, contributing to our five-star Gartner reviews. You will work with cutting-edge technologies and top-tier customers, providing technical expertise and strengthening customer relationships.

Collaborating closely with Account Teams, you will gain deep insight into customers' business requirements, technical needs, and system environments. Your role involves resolving technical issues, bridging gaps between customers and Engineering, and ensuring the highest level of service.

Ceph Architecture & Operations

• Architect, deploy, and operate large-scale production Ceph clusters supporting S3 with an emphasis on availability, performance, and operational simplicity.
• Own cluster lifecycle activities: upgrades, patching, configuration management, routine health checks, and proactive risk remediation.
• Troubleshoot complex issues across the Ceph stack, lead incident response and root-cause analysis.
• Establish and maintain runbooks, operational best practices, and customer-facing documentation; drive continuous improvement in reliability, observability, and automation.
• Partner with customer teams on security and compliance requirements
• Advise on hardware and topology choices to meet workload requirements.

Designated Services Engineering 

• Serve as the primary technical liaison between customers and WEKA Engineering/Product to address feature gaps, reliability concerns, and documentation improvements.
• Own, track, and document customer issues via the ticketing system; drive issues to resolution with clear, timely communication and executive-ready updates when needed.
• Proactively monitor customer environments (Ceph and WEKA) using observability and remote monitoring tools to identify and remediate risks before they impact production.
• Support account teams (Customer Success, Sales Engineering, Partners/Resellers) with deep technical expertise and credibility in front of senior customer stakeholders.
• Contribute to knowledge sharing through internal and customer-facing documentation (FAQs, KB articles, runbooks) and repeatable troubleshooting playbooks.
• Manage multiple engagements and cases concurrently, balancing urgency, impact, and long-term customer outcomes.
• Participate in on-call and follow-the-sun support rotations as required; work occasional alternative hours (nights/weekends/holidays) and travel as needed.

Learning & Growth at WEKA

• Ramp on WEKA’s architecture, tooling, and support model, and progressively take ownership of designated services engagements beyond Ceph.
• Develop deeper expertise in S3-compatible object storage concepts and ecosystems (clients, load balancing, performance testing, multi-tenancy), with mentorship from WEKA SMEs.
• Partner with internal teams to improve product supportability and operational excellence for object-storage use cases.

Requirements

We’re looking for a senior, customer-facing engineer who can lead Ceph architecture and operations today, and who is excited to grow into a broader object-storage and WEKA role.

• 10+ years in customer-facing technical roles solving complex enterprise infrastructure issues.
• 5+ years of hands-on Ceph experience in production: cluster design, deployment, upgrades, and day-2 operations.
• Strong understanding of Ceph internals and operational mechanics: MON quorum, MGR active/standby, OSD behavior, CRUSH and CRUSH maps, pools and placement groups (PGs), recovery/backfill and rebalancing.
• Experience operating large-scale (multi-PB) Ceph environments and navigating the operational challenges of fleet size, PG scaling, and long-running recovery events.
• Practical experience with Ceph RGW and S3 concepts (buckets, users/tenants, load balancing, scaling patterns, performance troubleshooting).
• Expertise in Linux/Unix administration in multi-platform, distributed environments.
• Strong troubleshooting skills across hardware, OS, networking, and distributed storage layers (including diagnosing performance bottlenecks and failure scenarios).
• Deep understanding of networking (Infiniband, Ethernet, DPDK, UCX), cloud computing, and distributed storage.
• Experience with observability and monitoring stacks (Prometheus/Grafana and common log/metrics tooling).
• Proficiency in Python and/or Bash; comfort building automation for monitoring, diagnostics, and repeatable operational tasks.
• Excellent written and verbal communication skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders.

It’s Nice If You Have

• Experience with Kubernetes/Containers and/or cloud platforms (AWS, Azure, OCI, GCP) in storage-heavy environments.
• Familiarity with Jira, Confluence, Slack, and collaborating across Support, Engineering, and Product teams.
• Experience supporting HPC or AI/ML infrastructure (GPU clusters, high-throughput networking, performance benchmarking).
• Experience with infrastructure-as-code or config management (Ansible, Terraform, etc.).
• Strong technical writing skills and a habit of creating reusable runbooks and playbooks.

What Success Looks Like

• Customers view you as a trusted technical leader for Ceph and object storage, and they proactively engage you for architectural guidance and operational reviews.
• You can independently assess Ceph cluster health, identify risk, and lead remediation plans that improve availability and performance.
• You deliver consistent, high-quality customer communications and drive issues to resolution while partnering effectively with internal teams (CS, Product and Engineering).
• You build durable artifacts (runbooks, dashboards, automation, postmortems) that raise the operational maturity of customer environments and WEKA’s supportability.
• You ramp quickly on WEKA’s products and processes and expand your ownership beyond Ceph into broader designated services engagements.

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

About the Team:

The Menu Team is part of CookUnity’s Marketplace Zone, which focuses on creating a seamless and scalable platform that connects chefs with consumers. As the heart of the platform, the menu represents one of the most important interaction users have with CookUnity, enabling them to browse, explore, and choose meals.

The team is responsible for two key areas:

1. User-Facing Menu Experience: Provide the best menu exploration experience to our users across mobile and web. This involves experimentation and iteration in search, discovery, meal displays, and menu taxonomy to maximize engagement and satisfaction.
2. Provider and Source of Truth for Menu Data: Responsible for the accuracy, stability, and availability of critical consumer-facing menu data that powers multiple parts of the platform, both within and outside the Marketplace Zone.

The role:

We are looking for a Full Stack Engineer to join the Menu Team, where you will play a key role in building and optimizing backend services and APIs that power CookUnity’s menu experience. This role involves working on the Server-Driven UI (SDUI) service within our Backend-for-Frontend (BFF) architecture, as well as developing and maintaining backend services and databases.

As part of a cross-functional team, you will collaborate closely with product managers, mobile/web engineers, and designers to create an engaging menu experience. This is a great opportunity for a semi-senior engineer eager to work on challenging technical problems while contributing to customer-facing products that directly impact user engagement and satisfaction.

Responsibilities:

• Develop and maintain scalable backend services and APIs that power the menu experience across mobile and web
• Implement and optimize the BFF (Backend-for-Frontend) layer, ensuring efficient data handling and low-latency API responses
• Collaborate with frontend, mobile, and product teams to design and implement new menu-related features
• Optimize database queries and caching strategies for high-performance API responses
• Improve monitoring, observability, and logging for backend services
• Participate in code reviews and engineering discussions, contributing to technical best practices

Minimum Requirements:

• +3 years of experience with:
  • Backend development, with on Node.js and TypeScript.
  • Typescript and ReactJS web apps, or similar.
  • Backend development, with expertise in Kotlin or other JVM based language.
• Strong understanding of RESTful APIs, GraphQL, and backend-for-frontend (BFF)
• Experience working with SQL databases (PostgreSQL or MySQL) and optimizing queries
• Familiarity with service-oriented architecture and microservices
• Strong debugging and troubleshooting skills for backend services and APIs
• Solid understanding of performance optimization, caching, and API response efficiency
• Prior experience working on (or with) established design systems.
• Advanced English communication skills, with the ability to collaborate across teams
• Fluency with AI engineering tools.

Preferred requirements:

• Knowledge of AWS, Kubernetes, Terraform, and cloud infrastructure
• Familiarity with observability tools like DataDog and logging frameworks
• Proficiency with leveraging AI Coding tools in day to day development (Cursor, Windsurf, or similar).

Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

Benefits

💸 Get paid in USD, Crypto, Euro, ARS. Whatever your choice! We use Deel to make things easier for you!

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Family leave of 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, Melbourne and a growing presence in Argentina, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in modern customer data infrastructure. As a Software Development Engineer, you'll join a collaborative engineering team to develop advanced data pipelines. You will create flexible marketing solutions, and integrate powerful AI capabilities helping our clients gain deeper insights and activate their data. You'll work on a world-class, mission-critical platform that sits at the heart of our customers' data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers
• Integrate our system into the operating core of the businesses we serve
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers
• Experience with infrastructure development and deployment using tools like Terraform, or CloudFormation.
• Experience with a platform-level team whose customers are other developers
• Excited about using functional languages (like Clojure!) in a production environment
• Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers' success

Technologies We Use

We don’t expect you to have experience with everything we use—but if you’re excited about learning, you’ll do great here. Our tech stack includes:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• Functional programming languages including Clojure, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, Melbourne and a growing presence in Argentina, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in cutting-edge customer data infrastructure. As a Software Development Engineer, you’ll join a highly motivated and collaborative engineering team to develop advanced data pipelines, create flexible marketing solutions, and integrate powerful AI capabilities enabling our clients to gain deeper insights and activate their data strategically. You’ll work on a world-class, mission-critical platform that sits at the heart of our customers’ data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight 
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers 
• Integrate our system into the operating core of the businesses we serve 
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software 
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers 
• Excited about using or learning functional languages (like Clojure!) in a production environment
•  Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers’ success

Technologies We Use

We don’t expect you to have experience with everything we use—but if you’re excited about learning, you’ll do great here. Our tech stack includes:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• Functional programming languages including Clojure, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

We're looking for a AI Engineer to join AI & Data Team. The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI solutions particularly those involving Large Language Models (LLMs), intelligent agents, and AI systems that integrate seamlessly into production-grade software. This person will work independently with minimal supervision while collaborating across teams to deliver intelligent, scalable, and reliable applications.

They will be responsible not only for crafting models and prototypes, but also for embedding these into robust applications, building APIs, writing clean code, and ensuring the operational success of AI-powered features in real-world environments.

The main objective of this role is to bridge AI innovation and software engineering excellence deploying LLMs, agents, and smart systems into full-stack products and production infrastructure.

What are the main responsibilities of this role? 

• Design and implement LLM-based solutions (e.g., RAG systems, multi-agent tools, copilots).
• Fine-tune, evaluate, and deploy open-source and proprietary foundation models.
• Build end-to-end AI-powered features in collaboration with product and engineering teams.
• Create scalable APIs and services to expose AI functionality to frontend/mobile clients.
• Own the lifecycle of AI features from experimentation to deployment and monitoring.
• Collaborate with DevOps to implement CI/CD pipelines and infrastructure-as-code for AI services.
• Implement observability, error tracking, and performance monitoring on deployed AI features.
• Evaluate and experiment with diverse AI frameworks and libraries (LangChain, Transformers, OpenAI SDKs, etc.).
• Lead technical discussions and mentor peers in AI best practices and architecture.
• Identify AI-driven product opportunities by working closely with clients or internal teams.

Which skills and experience do we envision for this role?

• +4 years of experience in AI/ML-focused roles with shipped software products.
• Hands-on experience with LLMs (OpenAI, Claude, Mistral, open-source models) and agent frameworks (LangChain, AutoGPT, etc.).
• Proficiency in prompt engineering, vector databases (Pinecone, Weaviate, etc.), and embedding strategies.
• Experience with testing AI systems using tools such as Promptfoo, Giskard, etc
• Solid Python skills, with experience building APIs using FastAPI, Django, or similar.
• Production experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Terraform, Kubernetes.
• Good software development practices: testing, code reviews, version control (Git), and modular design.
• Experience deploying and monitoring AI systems in production.
• Familiarity with MLOps and model deployment workflows is a plus.

Join our team and enjoy:

• Access to Rootstrap University,Conferences/Certifications, and a Mentorship Program for your professional growth.
• Learning Bonus 
• Opportunities to organize cross-functional initiatives and receive 360 Feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and Workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An Onboarding kit and access to cutting-edge technologies and tools to make your work easier.
• Referrals program bonuses, After offices, Prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well-being and personal development.

We value your well-being and happiness. We grow together!

How we work:

• We offer a flexible and diverse work environment that fosters multicultural talent
• We value autonomy and creativity, We want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections
• We have a commitment to excellence

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and inspired pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider.

We embrace an AI-first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation.

With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at https://www.rootstrap.com/careers.

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).

As part of our Security and Compliance process, all seniority levels and roles must follow the company’s information security policies and secure development practices, and promptly report any suspected security incidents or vulnerabilities.

The Role

Telnyx infrastructure team is building a next-generation platform that spans across multiple cloud providers and multiple continents. We leverage the Telnyx private backbone network with cross-connects to major cloud providers like AWS, Azure, GCP, and IBM Cloud to build a cloud-agnostic, highly available platform. With our lean team, we're currently running infrastructure in 10 PoPs and 3 continents.

In This Role You Will

• Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters.
• Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure.
• Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions.
• Support disaster recovery, backup strategies, and performance tuning for on-premise database systems.
• Implement and manage observability, logging, and alerting systems. 

Must-Have Experience:

• 3+ years of professional experience in infrastructure operations, especially in Linux-based systems.
• Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications
• Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure.
• Hands-on experience managing at least one relational databases like PostgreSQL or MySQL

You’d Be A Good Fit If You Have

• Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores.
• Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup.
• Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability.

Bonus Points For:

• Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage

Growth Opportunities: 

• Act as a strength multiplier to product engineering efforts. 
• Learn about every technology stack used at Telnyx. 
• Work at the intersection of the social and the technical, with growth opportunities in both.

#LI-KG1

#LI-REMOTE

Want to help us help others? We’re hiring!

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom. 

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a  Adobe Experience Platform BackEnd Engineer you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring [8 YEARS] of experience, a growth mindset and a drive to make a lasting impact. 

We’re seeking a seasoned AEM Edge Delivery Services (EDS) Senior Backend Developer to build, and optimize AEM-based content platforms with a focus on AEM as a Cloud Service, Universal Editor, Content Fragment APIs/GraphQL, Sling/OSGi services, and integration with external systems. You will lead backend engineering across multi-region, scalable deployments, ensuring performance, security, resilience, and DevOps maturity in cloud-native AEM environments. 

Key Responsibilities 

Architecture & Design 

• Implement backend solutions for AEM (Cloud Service) and EDS including Sling Models, OSGi services, custom workflows, and content APIs. 

• Model content with Content Fragment Models; expose structured content via GraphQL; structure APIs for omnichannel consumption. 

• Define caching strategies using Dispatcher/CDN (Fastly/Akamai/CloudFront) for EDS and classic AEM delivery. 

• Establish non-functional requirements (NFRs): performance SLAs, uptime, DR, observability, and security baselines. 

Development & Integration 

• Implement business logic in Sling/OSGi, extend Core Components, and build backend services integrating with CRM, PIM, DAM, marketing tech, or identity providers. 

• Develop REST/GraphQL endpoints; manage service accounts, scopes, and secure secrets. 

• Integrate Adobe IMS, Adobe I/O Runtime, Adobe Target/Analytics, translation services, and personalization APIs. 

Cloud, DevOps & Quality 

• Own CI/CD pipelines (GitHub Actions/Azure DevOps/Jenkins) for AEM Cloud Service including code quality gates, static analysis, automated tests, and deployment promotion. 

• Implement automated unit/integration tests (JUnit, Mockito) and contract testing for APIs. 

• Set up observability (logs, metrics, tracing) via Cloud Manager/Kibana/New Relic/Datadog; define alerting and SLOs. 

Security & Compliance 

• Apply OWASP best practices; secure endpoints, headers, session management; harden OSGi configs. 

• Handle PII compliance, data retention, and encryption; design role-based access and workflow governance. 

Leadership & Collaboration 

• Mentor developers; own backlog refinement; collaborate with architects, product owners, QA, and frontend squads. 

• Contribute to solution roadmaps, estimation, and stakeholder communication. 

Role responsibilities

• LIST KEY RESPONSIBILITIES SPECIFIC TO THE ROLE
• Avoid terms such as “rockstar”, “superstar” or anything which may deter people who do not resonate with this type of language. 
• Be mindful of descriptive words. According to research, the following words import ‘masculine’ characteristics, and are likely to deter female applicants: independent, lead, competitive, assertive, determined, analytical. Those words generally increasing the female response rate: responsible, connect, dedicated, support, sociable, conscientious

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• • 8–12+ years of software engineering; 6+ years with AEM; 4+ years with AEM Cloud Service and Edge Delivery Services. 
  • Strong Java 11+/17, Sling, OSGi, JCR, Oak, AEM Core Components, Content Fragments, GraphQL. 
  • Experience with Universal Editor authoring models and EDS delivery workflows. 
  • API design (REST/GraphQL), integration patterns, event-driven architectures, messaging (e.g., Kafka, Azure Service Bus). 
  • DevOps: CI/CD, Infrastructure as Code (Terraform optional), cloud logging/monitoring; Dispatcher/CDN tuning. 
  • Security: OAuth2/OIDC, JWT, secure headers, secrets management (Vault/KMS), SSO/SAML/Adobe IMS. 
  • Performance engineering: caching, indexing, query optimization, asset processing, and pagination strategies. 

Nice to have qualifications  

• Adobe Cloud Manager pipeline tuning, Adobe I/O Runtime (serverless), Adobe Target/Launch/Analytics integration. 
• Headless/omnichannel delivery to mobile/web/IoT. 
• Experience with GraphQL federation, schema stitching, or API gateways (Apigee/Kong/Azure APIM). 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full time  position Remote in Latam.

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a  Adobe Experience Platform BackEnd Engineer you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring [8 YEARS] of experience, a growth mindset and a drive to make a lasting impact. 

We’re seeking a seasoned AEM Edge Delivery Services (EDS) Senior Backend Developer to build, and optimize AEM-based content platforms with a focus on AEM as a Cloud Service, Universal Editor, Content Fragment APIs/GraphQL, Sling/OSGi services, and integration with external systems. You will lead backend engineering across multi-region, scalable deployments, ensuring performance, security, resilience, and DevOps maturity in cloud-native AEM environments. 

Key Responsibilities 

Architecture & Design 

• Implement backend solutions for AEM (Cloud Service) and EDS including Sling Models, OSGi services, custom workflows, and content APIs. 

• Model content with Content Fragment Models; expose structured content via GraphQL; structure APIs for omnichannel consumption. 

• Define caching strategies using Dispatcher/CDN (Fastly/Akamai/CloudFront) for EDS and classic AEM delivery. 

• Establish non-functional requirements (NFRs): performance SLAs, uptime, DR, observability, and security baselines. 

Development & Integration 

• Implement business logic in Sling/OSGi, extend Core Components, and build backend services integrating with CRM, PIM, DAM, marketing tech, or identity providers. 

• Develop REST/GraphQL endpoints; manage service accounts, scopes, and secure secrets. 

• Integrate Adobe IMS, Adobe I/O Runtime, Adobe Target/Analytics, translation services, and personalization APIs. 

Cloud, DevOps & Quality 

• Own CI/CD pipelines (GitHub Actions/Azure DevOps/Jenkins) for AEM Cloud Service including code quality gates, static analysis, automated tests, and deployment promotion. 

• Implement automated unit/integration tests (JUnit, Mockito) and contract testing for APIs. 

• Set up observability (logs, metrics, tracing) via Cloud Manager/Kibana/New Relic/Datadog; define alerting and SLOs. 

Security & Compliance 

• Apply OWASP best practices; secure endpoints, headers, session management; harden OSGi configs. 

• Handle PII compliance, data retention, and encryption; design role-based access and workflow governance. 

Leadership & Collaboration 

• Mentor developers; own backlog refinement; collaborate with architects, product owners, QA, and frontend squads. 
• Contribute to solution roadmaps, estimation, and stakeholder communication. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• • 8–12+ years of software engineering; 6+ years with AEM; 4+ years with AEM Cloud Service and Edge Delivery Services. 
  • Strong Java 11+/17, Sling, OSGi, JCR, Oak, AEM Core Components, Content Fragments, GraphQL. 
  • Experience with Universal Editor authoring models and EDS delivery workflows. 
  • API design (REST/GraphQL), integration patterns, event-driven architectures, messaging (e.g., Kafka, Azure Service Bus). 
  • DevOps: CI/CD, Infrastructure as Code (Terraform optional), cloud logging/monitoring; Dispatcher/CDN tuning. 
  • Security: OAuth2/OIDC, JWT, secure headers, secrets management (Vault/KMS), SSO/SAML/Adobe IMS. 
  • Performance engineering: caching, indexing, query optimization, asset processing, and pagination strategies. 

Nice to have qualifications  

• Adobe Cloud Manager pipeline tuning, Adobe I/O Runtime (serverless), Adobe Target/Launch/Analytics integration. 
• Headless/omnichannel delivery to mobile/web/IoT. 
• Experience with GraphQL federation, schema stitching, or API gateways (Apigee/Kong/Azure APIM). 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full time  position Remote in Latam.

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a  Adobe Experience Platform BackEnd Engineer you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring [8 YEARS] of experience, a growth mindset and a drive to make a lasting impact. 

We’re seeking a seasoned AEM Edge Delivery Services (EDS) Senior Backend Developer to build, and optimize AEM-based content platforms with a focus on AEM as a Cloud Service, Universal Editor, Content Fragment APIs/GraphQL, Sling/OSGi services, and integration with external systems. You will lead backend engineering across multi-region, scalable deployments, ensuring performance, security, resilience, and DevOps maturity in cloud-native AEM environments. 

Key Responsibilities 

Architecture & Design 

• Implement backend solutions for AEM (Cloud Service) and EDS including Sling Models, OSGi services, custom workflows, and content APIs.