Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

About the Team:

The Internal Supply Chain team owns the raw materials supply and its distribution to the chefs/fulfillment. It’s a high-impact role with the ability to communicate constantly between all different areas of CookUnity. Our customers use our digital experience weekly to find their favorite meals from our 300+ menu items, and the Supply Chain team is responsible for making that easy and smooth for the operation.

The role:

We are seeking a full-time Supply Chain Analyst with an entrepreneurial mindset who is willing to take ownership of different analyses and projects and is looking to accelerate their development by working in a growing startup!

You are capable of managing and analyzing the supply chain to reach company goals. You’re organized, super self-driven, can deliver, and have a “get stuff done” attitude. Owns 100% of the analysis, flags insightful info, creates action plans, develops new dashboards, etc.

You enjoy being part of a team and understand that the impact of your work will help to make the organization better.

Responsibilities:

• Own key metrics (e.g., food costs), identify cost gaps, and perform deep dives to maintain accuracy ensuring accurate and timely reporting.
• Analyze inventory discrepancies and their cost impact, creating corrective action plans.
• Manage stock levels to prevent shortages and excess, balancing availability with waste reduction. Follow up on the extra spent due to the purchasing delta, define an action plan to avoid it, but at the same time keep healthy stocks of short-life products to avoid increasing the waste and spoilage.
• Oversee and optimize the ordering and distribution processes in collaboration with other teams.
• Monitor and communicate any price changes to relevant departments.
• Coordinate and support the deployment of new tools such as ERP/MRP & WMS.
• Develop and enhance SOPs to ensure process adherence and improve department efficiency.

Qualifications:

• 2+ years of previous experience in a Supply Chain;
• Bachelor’s degree in Business, Supply Chain, Engineering, or other related;
• Analytical skills and an excellent use of Google Sheets/Excel are required;
• Strong problem solving & multi-tasking skills with great attention to detail and aptitude for numbers;
• ERP/MRP knowledge; SQL basic knowledge; Ability to leverage generative AI to increase output quality and speed.
• Experience in the food industry is a plus!
• Since our HQ is located in NYC, an excellent level of English is required

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

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 

En nuestro equipo de Data Science, tendrás la oportunidad de trabajar como parte de nuestros product squads, desarrollando funcionalidades que enriquecen nuestro producto y brindan la experiencia de primer nivel por la que somos reconocidos. Trabajarás junto a profesionales brillantes con distintas especialidades: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, entre otros. Prepárate para el trabajo de tu vida: desafíos complejos, altas expectativas, mentes brillantes trabajando juntas, conversaciones significativas y una productividad extraordinaria.

Algunos de los problemas específicos en los que trabajamos en el equipo de Data Science incluyen sistemas de búsqueda y recomendación; mejora de la experiencia del cliente utilizando machine learning (como el enrutamiento automático de tickets); modelos de pricing, liquidez y crédito; y la construcción de una plataforma que nos permita desarrollar y desplegar todas estas soluciones.

Nota: Esta es una posición senior. Esperamos que tengas al menos 3+ años de experiencia aplicando Data Science y creando modelos de machine learning. Si tienes las habilidades pero estás comenzando tu carrera en Data Science, te recomendamos postularte a la posición de Data Scientist.

Responsabilidades

• Arquitectar, desarrollar y desplegar sistemas de machine learning en producción. Los principales casos de uso están relacionados con chatbots y sistemas de búsqueda.

• Diseñar y ejecutar experimentos.

• Analizar una amplia variedad de datos (estructurados y no estructurados, observacionales y experimentales) para mejorar los modelos actuales o crear nuevos.

• Aplicar el método científico para desarrollar aplicaciones impulsadas por LLMs, incluyendo probar diferentes prompts, explorar y comprender las capacidades de los LLMs, evaluar agentes y prompts, analizar guardrails de aplicaciones de IA y construir PoCs para validar la viabilidad de IA generativa en funcionalidades de producto.

• Participar activamente en discusiones y decisiones relacionadas con todo el chapter de Data Science (Guilds, Design Reviews, Demos, etc.).

Lo que buscamos

• Personas que quieran aprender y generar impacto real a través de Data Science.

• Conocimiento experto en conceptos de machine learning: regresión y clasificación, clustering, redes neuronales, selección de features, validación cruzada, curse of dimensionality, bias-variance tradeoff, explicabilidad de modelos, entre otros.

• Buena comprensión de los desafíos de ingeniería para desplegar sistemas de machine learning en producción.

• Dominio de Python.

• Conocimientos o experiencia con Deep Learning.

• Experiencia brindando asesoramiento técnico a otros data scientists (liderazgo técnico).

• Excelentes habilidades de comunicación técnica escrita y verbal. Buscamos a alguien apasionado por Data Science y Machine Learning, dispuesto a compartir su conocimiento con los demás miembros del Data Science Chapter.

• Buen nivel de inglés (oral y escrito) es obligatorio.

Te destacarás si

• Tienes un MSc. (o licenciatura + experiencia sólida) en machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing u otros campos relevantes.

• Tienes experiencia con IA generativa aplicada: agentes de IA, prompt engineering, fine-tuning de LLMs (LoRA, QLoRA, PEFT), LLM routing, monitoreo de LLMs y LLM guardrails.

• Tienes experiencia trabajando en startups de rápido crecimiento.

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-FS4

Software Engineer

Argentina; Uruguay

Software Engineer - Robotics & Autonomous Systems

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• At least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

#OLATAM #REQID17227

We’re expanding our capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Regional HR Operations Leader to play a critical role in establishing and embedding Precision’s HR Operations model across the region. 

Working as part of a connected global HR Operations leadership team, the Regional Lead ensures consistent, compliant, and employee-centered delivery of HR services while helping to standardize and evolve processes across all regions.

This role leads a team of local HR Operations Specialists and partners closely with Global HRBPs, Centers of Excellence (COEs), Payroll, Legal and the Employee Relations Management Office (ERMO), and actively contributes to the global HR Operations strategy - shaping how Precision builds an agile, digitally enabled service model for the future.

Key Responsibilities:

Establish & Lead Regional HR Operations

• Build and lead the HR Operations structure and ways of working across the region, ensuring alignment with the global model.
• Oversee day-today delivery of HR services and lifecycle transactions (onboarding, changes, exits).
• Coach and develop HR Operations Specialist to ensure accuracy, consistency, and compliance.
• Maintain strong governance for data integrity, process adherence, and documentation standards.

Operate as One Global HR Operations Team

• Collaborate closely with fellow Regional HR Operations Leads to standardize processes, templates, and service delivery across all regions.
• Share insights, challenges, and best practices regularly to ensure a unified global approach to HR Operations.
• Contribute to the design and implementation of global process maps, playbooks, and knowledge content for Tier 0/1.
• Support global alignment in systems, workflows, and automation initiatives.

Partner & Collaborate Across HR

• Partner with Global HRBPs, COEs, Payroll, Legal and Finance to deliver seamless and compliant HR processes.
• Act as the regional escalation point for complex or sensitive employee matters.
• Work with the Employee Relations Management Office (ERMO) on case handling standards and trend analysis.
• Ensure close partnership with Tier 0/1 teams to streamline knowledge sharing and case management.

Continuous Improvement & Digital Enablement

• Identify opportunities to simplify, standardize, and automate HR processes.
• Support the introduction of digital tools, workflows, and AI-enabled solutions that enhance efficiency and employee experience.
• Contribute to global HR Operations projects, pilots, and technology deployments.

Data & Insight

• Use metrics and data to monitor HR Operations performance, identify improvement opportunities, and drive accountability.
• Provide regional insight to the VP, HR Operations to inform decisions, trends, and prioritization.

Leadership & Culture

• Foster a culture of collaboration, inclusion and continuous learning within the regional team.
• Role-model Precision’s values of Client Service, Purpose, Accountability, Mutual Respect and Collaboration.
• Encourage innovation, curiosity, and shared ownership across regions to continually evolve HR Operations globally.

Experience & Skills:

Essential

• Broad HR Operations or Shared Services experience across multiple countries.
• Proven success leading teams and embedding new ways of working.
• Deep understanding of HR processes, compliance, and governance.
• Strong collaboration skills and comfort working in a global matrix environment.
• Data-driven, analytical mindset with an eye for simplification and continuous improvement.
• Comfort navigating ambiguity and building structure from the ground up.

Desirable

• Experience with global HRIS platforms - ideally SAP SuccessFactors.
• Familiarity with automation or AI-enabled HR solutions.
• Exposure to global service delivery models or shared service environments.

Key Competencies:

• Collaborative and delivery-focused mindset with a strong sense of ownership.
• Skilled at building alignment across regions and working as part of one global HR Operations team.
• Ability to synthesize information quickly and communicate clearly across different audiences.
• Comfortable working in a dynamic fast-paced environment while balancing multiple priorities.
• Curious about technology and confident adopting new tools, automation, and AI to simplify work.
• Pragmatic and solutions-oriented - focuses on making processes work in real life, not just on paper.

We’re expanding our capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Regional HR Operations Leader to play a critical role in establishing and embedding Precision’s HR Operations model across the region. 

Working as part of a connected global HR Operations leadership team, the Regional Lead ensures consistent, compliant, and employee-centered delivery of HR services while helping to standardize and evolve processes across all regions.

This role leads a team of local HR Operations Specialists and partners closely with Global HRBPs, Centers of Excellence (COEs), Payroll, Legal and the Employee Relations Management Office (ERMO), and actively contributes to the global HR Operations strategy - shaping how Precision builds an agile, digitally enabled service model for the future.

Key Responsibilities:

Establish & Lead Regional HR Operations

• Build and lead the HR Operations structure and ways of working across the region, ensuring alignment with the global model.
• Oversee day-today delivery of HR services and lifecycle transactions (onboarding, changes, exits).
• Coach and develop HR Operations Specialist to ensure accuracy, consistency, and compliance.
• Maintain strong governance for data integrity, process adherence, and documentation standards.

Operate as One Global HR Operations Team

• Collaborate closely with fellow Regional HR Operations Leads to standardize processes, templates, and service delivery across all regions.
• Share insights, challenges, and best practices regularly to ensure a unified global approach to HR Operations.
• Contribute to the design and implementation of global process maps, playbooks, and knowledge content for Tier 0/1.
• Support global alignment in systems, workflows, and automation initiatives.

Partner & Collaborate Across HR

• Partner with Global HRBPs, COEs, Payroll, Legal and Finance to deliver seamless and compliant HR processes.
• Act as the regional escalation point for complex or sensitive employee matters.
• Work with the Employee Relations Management Office (ERMO) on case handling standards and trend analysis.
• Ensure close partnership with Tier 0/1 teams to streamline knowledge sharing and case management.

Continuous Improvement & Digital Enablement

• Identify opportunities to simplify, standardize, and automate HR processes.
• Support the introduction of digital tools, workflows, and AI-enabled solutions that enhance efficiency and employee experience.
• Contribute to global HR Operations projects, pilots, and technology deployments.

Data & Insight

• Use metrics and data to monitor HR Operations performance, identify improvement opportunities, and drive accountability.
• Provide regional insight to the VP, HR Operations to inform decisions, trends, and prioritization.

Leadership & Culture

• Foster a culture of collaboration, inclusion and continuous learning within the regional team.
• Role-model Precision’s values of Client Service, Purpose, Accountability, Mutual Respect and Collaboration.
• Encourage innovation, curiosity, and shared ownership across regions to continually evolve HR Operations globally.

Experience & Skills:

Essential

• Broad HR Operations or Shared Services experience across multiple countries.
• Proven success leading teams and embedding new ways of working.
• Deep understanding of HR processes, compliance, and governance.
• Strong collaboration skills and comfort working in a global matrix environment.
• Data-driven, analytical mindset with an eye for simplification and continuous improvement.
• Comfort navigating ambiguity and building structure from the ground up.

Desirable

• Experience with global HRIS platforms - ideally SAP SuccessFactors.
• Familiarity with automation or AI-enabled HR solutions.
• Exposure to global service delivery models or shared service environments.

Key Competencies:

• Collaborative and delivery-focused mindset with a strong sense of ownership.
• Skilled at building alignment across regions and working as part of one global HR Operations team.
• Ability to synthesize information quickly and communicate clearly across different audiences.
• Comfortable working in a dynamic fast-paced environment while balancing multiple priorities.
• Curious about technology and confident adopting new tools, automation, and AI to simplify work.
• Pragmatic and solutions-oriented - focuses on making processes work in real life, not just on paper.

About the Team:

As a fundamental pillar of the platform, Horizon enables different business models within CookUnity, ensuring that users can seamlessly subscribe to plans, manage their preferences, and successfully place their orders.

The team is responsible for two key areas:

1. Enabling Business Models and Subscriptions: Horizon ensures that diverse user segments have access to tailored plans and subscription models, optimizing their experience within the platform. This involves continuous iteration and experimentation to provide the best possible journey for each type of user.
2. Order Management and Integrity: Horizon acts as the source of truth for user orders, ensuring their accuracy and reliability. The team handles critical processes such as order creation, autopilot selection, and delivery eligibility based on user addresses, guaranteeing a seamless experience from selection to fulfillment.

By combining a strong user experience focus with backend robustness, Horizon plays a vital role in shaping the way users interact with CookUnity and ensuring operational stability across the platform.

The Role:

As a Staff Full Stack Engineer on the Horizons Squad, you will play a crucial role in leading technical initiatives, driving architectural decisions, and mentoring engineers as we scale our user experiences. You’ll work on building and optimizing backend services and APIs that power CookUnity’s 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.

This is an exciting opportunity for an experienced engineer who thrives on complexity and enjoys designing scalable, resilient, and high-performing backend systems. You will collaborate closely with engineering leadership, product managers, and cross-functional teams—including Data teams—to build and improve mission-critical infrastructure that enables personalized user experiences across our platform.

We’re looking for someone who can bring strong system design expertise, lead projects from concept to deployment, and set a high technical bar for the team while driving forward best practices in software engineering.

Responsibilities:

• Lead the design and implementation of scalable backend services that power CookUnity’s personalization systems
• Define and drive architectural improvements that enhance system reliability, scalability, and maintainability
• Collaborate cross-functionally with Product and Data teams to provide our users tailor-made content that adjust to their needs
• Mentor and guide other engineers, setting a high standard for technical excellence and a culture of proactive ownership
• Evaluate and introduce new technologies, frameworks, AI adoptions that improve our backend stack and development velocity
• Improve system observability, performance, and resilience, ensuring uptime and smooth operation of revenue-critical systems
• Contribute as a hands-on engineer, writing clean, well-tested, and efficient code, leading by example
• Lead technical planning and project execution, breaking down complex problems into manageable solutions and driving initiatives to on-time completion

Minimum Requirements:

• 8+ years of experience in full stack/backend software development, with expertise in React, Kotlin, TypeScript, and SQL databases (PostgreSQL or MySQL)
• Proven experience in architecting and scaling complex backend systems in a high-growth, fast-paced environment
• Strong knowledge of distributed systems, service-oriented architecture, and event-driven architecture
• Deep understanding of system performance and scalability best practices
• Proven ability to translate complex, ambiguous requirements into clear, actionable plans that drive alignment and timely delivery
• Advanced English communication skills, with the ability to clearly articulate complex ideas to both technical and non-technical audiences
• Demonstrated experience in mentoring and guiding engineers
• Fluency with AI engineering tools.

Ideal Requirements:

• Experience with DevOps tools and cloud platforms, including Docker, Kubernetes, and AWS
• Experience with 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

The Team:

The Engineering Foundation team is a newly formed team responsible for ensuring the overall architecture supports the company’s rapid growth and provides an excellent experience for all CookUnity users.

We’re undertaking a large re-architecture of many systems across the engineering stack, and we’ll shape (and build) the future frameworks, technologies, and patterns for the rest of the engineering org to leverage.

The Role:

This is a rare opportunity to work at a rapid growth scaleup company and build on an entirely net new system to set the engineering foundation and principles across the org.

As a Staff Data Engineer on the Engineering Foundation team, you’ll play a critical role in defining the direction for the future of CookUnity’s data engineering architecture. You will design & build net new data pipelines and systems that form the future base of our B2C data engineering stack, and set in place best practices and patterns for the entire CookUnity data engineering org to adopt.

We’re looking for someone excited about the prospect of taking an existing product that’s growing rapidly and helping to rebuild key components of our system. This will help set CookUnity up to scale gracefully for our next years of rapid growth, reduce overall system complexity, enable greater product experimentation, and enable product teams to build incredible features faster.

Responsibilities:

• Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth.
• Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production.
• Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices.
• Optimize data models to support fast, efficient decision-making across high-impact product and business use cases.
• Partner closely with product, engineering, and data science teams to quickly translate evolving business needs into scalable, production-ready data solutions.
• Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow.
• Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement.
• Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent.

Qualifications:

• 7+ years of relevant industry experience.
• Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries.
• Proven track record of driving innovation within highly technical, distributed teams. You have driven complex projects to completion and are motivated by solving high-impact problems and building for the best user UX.
• Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets.
• Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines.

Preferred Requirements:

• Experience designing data architectures to power a variety of use cases, including enabling experimentation
• Be opinionated on engineering best practices and help contribute to our strong engineering culture.
• Experience with cloud-native technologies (Kubernetes, containers, etc).
• Past experience working in a rapid growth company or an early stage startup environment.
• A passion for food!

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

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!

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 Senior Frontend UX/UI Developer, you will be responsible for designing and developing user-centric interfaces using Angular and Figma. You will ensure consistency across digital products while collaborating closely with designers, product owners, and backend teams.  

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design and implement responsive, high-performance web interfaces using Angular. 
• Translate UX/UI designs from Figma into clean, maintainable, and scalable code. 
• Ensure consistency in UX across platforms, components, and user flows. 
• Collaborate with UX designers to refine user journeys and improve usability. 
• Develop reusable UI components and maintain a scalable design system. 
• Optimize applications for performance, accessibility, and cross-browser compatibility. 
• Work closely with backend developers (Node.js) to integrate APIs and services. 
• Participate in code reviews and enforce frontend best practices. 
• Continuously improve UI/UX standards, patterns, and design consistency. 
• Mentor junior developers and contribute to team knowledge sharing. 

Must have qualifications

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

• 5+ years of experience in frontend development. 
• Strong expertise in Angular. 
• Advanced knowledge of JavaScript and modern frontend architectures. 
• Experience working with Node.js for frontend-backend integration. 
• Strong proficiency in Figma and UX/UI design principles. 
• Deep understanding of UX consistency, usability, and accessibility standards. 
• Experience building and maintaining design systems. 
• Responsive design and cross-browser compatibility expertise. 
• Strong problem-solving and collaboration skills. 
• Upper-intermediate English level. 

Nice to have qualifications  

• Experience with component libraries and UI frameworks. 
• Knowledge of performance optimization techniques. 
• Familiarity with Agile/Scrum environments. 
• Understanding of user research and usability testing. 
• Experience working in global teams. 

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  

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.

The role:

As a Payroll Specialist, you’ll support end-to-end payroll processing across the US, Canada, and LATAM—ensuring accuracy, timeliness, and compliance. You’ll work closely with HR, Finance, and Tech to improve systems, automate workflows, and scale processes using tools like macros, scripts, and AI. You’ll also track payroll KPIs, manage documentation and reporting, and maintain strict confidentiality at all times.

Responsibilities:

• Support and contribute end-to-end payroll processing across multiple countries (US, Canada, LATAM), ensuring compliance, accuracy, and timeliness.
• Liaise with managers to ensure timely review and approval of hourly employee time sheets.
• Collaborate with HR, Finance, and Tech to support ongoing improvements to our HRIS and payroll systems
• Contribute to maintaining compliance with international payroll, tax, and labor requirements.
• Drive documentation, reporting, and process ownership for recurring and ad hoc payroll needs.
• Participate on the design and implementation of automated workflows, including Excel/Google Sheets macros and custom scripts to improve payroll operations, reduce errors, and speed up delivery.
• Build scalable, auditable custom processes using AI tools to fill gaps where off-the-shelf software falls short—ensuring alignment with company growth
• Build and track performance KPIs such as error rates, processing times, and response SLAs to monitor and improve payroll operations.
• In performing the above, exercise the highest degree of confidentiality related to all sensitive payroll information.

Qualifications:

• Bachelor’s degree in Business, Accountant, or another related field.
• 3+ years of previous experience in Payroll processing. Deep understanding of payroll regulations, taxes, and labor law across at least 2 of the following: US, Canada, LATAM.
• Advanced user of Google Sheets/Excel.
• Experience of process improvement and automation, ideally with no-code tools or HRIS customization.
• Ability to collaborate cross-functionally with Finance, Legal, HR, and Tech teams.
• Ability to maintain confidentiality and exercise good judgment.
• Excellent level of English is required.

Preferred requirements:

• Advanced knowledge of automation tools such as macros and scripting languages (e.g., AI, Google Apps Script) is a strong plus.

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

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.

The Mission

We are seeking an exceptional Software Engineer 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

● Collaborate with Architects and Engineering Managers to deliver high-quality technical solutions.
● Understand client requirements to build solutions defined in project backlogs.
● Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.
● Write production ready, well-tested, and documented code across cloud environments.
● Contribute to building infrastructure, data pipelines, or application components depending on project needs.
● Troubleshoot and resolve technical issues in development, staging, etc.
● Participate in code reviews and knowledge sharing within your team.
● Demonstrate Caylent’s values by staying curious, being an exceptional partner, and continuously learning.

Your Qualifications

Core Consulting Qualifications

Customer Experience
●Committed to delivering exceptional client experiences, professionally responding to customer inquiries, clearly communicating project status, and providing valuable
solutions aligned to client needs.

Collaboration
● Demonstrates strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback.

Communication
● Effectively communicates technical information clearly and actively listens to clients and team members to confirm understanding and prevent miscommunication.

Technical Qualifications

● Deep expertise with AWS cloud services.
● Strong experience writing, reviewing, and deploying code using modern languages (Node.js, Go, React, Angular, TypeScript, Python, etc.).
● Technical background in application development and modern architecture.
● Experience managing customer engagements and contributing to project delivery.
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proficient in building and maintaining CI/CD pipelines and cloud automation.
● Experience working in client-facing roles within consulting or professional services.

Preferred Qualifications

• Experience working in a client-facing environment
• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience with UI/UX
• Experience building and maintaining CI/CD pipelines
• Bachelor's or Master's degree in Information Technology or related field

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

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

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

Santex es una empresa global con sede en EE. UU., fundada en 1999, con 26 años de experiencia en la industria del software. Con oficinas centrales en California y en Córdoba, Argentina, su red de talento se extiende por más de 18 países gracias a su cultura flexible y de trabajo remoto. Santex se especializa en el desarrollo de software empresarial a medida, operando a través de Hubs que abarcan comercio electrónico, BIM, movilidad, distribución de contenido, integración, desarrollo web y móvil, computación en la nube, inteligencia artificial (IA), ciencia de datos, consultoría de TI y servicios. La empresa está comprometida con generar un impacto positivo en tres dimensiones: económica, social y ambiental.

Job Description: AI Specialist

Purpose: Diseñar, entrenar y mantener soluciones de inteligencia artificial, incluyendo modelos predictivos, asistentes conversacionales y productos core (como SAM Core), garantizando la viabilidad técnica de las pruebas de concepto (POC) y aportando visión técnica para estimaciones y diseño de soluciones.

Critical Tasks

• Diseño y entrenamiento de modelos AI
• Crear y ajustar modelos predictivos adaptados a las necesidades de cada prueba de concepto.
• Mantenimiento de plataformas AI
• Operar y mantener SAM, asegurando estabilidad, rendimiento y actualización continua.
• Soporte técnico para POC
• Colaborar en la construcción técnica de las pruebas, mostrando capacidades, estimando tiempos y definiendo equipos necesarios.
• Consultoría técnica interna
• Asesorar sobre tecnologías aplicables, mejores prácticas y arquitecturas para futuros proyectos.

Essential Functions

• Desarrollar soluciones backend AI
• Implementar, ajustar y mantener modelos y arquitecturas para cada proyecto.
• Estimar esfuerzos técnicos
• Analizar requisitos, calcular tiempos y recursos necesarios para garantizar la viabilidad técnica.
• Asegurar la calidad técnica
• Velar por la robustez, seguridad y rendimiento de los productos y plataformas AI.
• Colaborar con el Product Manager
• Trabajar en conjunto para alinear visión técnica y objetivos de negocio.

Professional experience:

• Experiencia desarrollando soluciones backend AI.
• Experiencia en diseño y entrenamiento de modelos predictivos.
• Plus: mantenimiento de plataformas conversacionales.

Leadership Competences:

• Visión Estratégica: Comunicar de manera clara y efectiva ideas técnicas y complejas tanto a colegas técnicos como a stakeholders no técnicos. Debe demostrar habilidades de escucha activa para poder identificar necesidades y preocupaciones
• Comunicación Efectiva: Habilidad para comunicar claramente la visión, estrategia y progreso del producto a todos los niveles de la organización.
• Trabajo en equipo: trabajar efectivamente con diversos equipos y facilitar la coordinación entre departamento
• Coraje: Promover y gestionar tensiones en pos de la disrupción. Ver los riesgos como una oportunidad.

Formación Académica:

- Profesional en Ingeniería en Sistemas, Ciencias de la Computación, Matemática, o afines.
- Formación complementaria: Cursos en machine learning, NLP, deep learning.

Languages: Español. - Inglés

Locación: CABA o Córdoba

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Backblaze

Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.

About the Role

We are seeking a Senior Back-End Engineer for our Computer Backup Back-End Team. This team focuses on the back-end services of our Computer Backup product. In this role, you will build and maintain systems to back up and restore exabytes of data.

We are looking for an engineer who is knowledgeable in high-performance, highly multithreaded architectures. We value versatility and are looking for someone comfortable designing and working across any technology as our needs evolve.

Responsibilities:

• Design and develop highly scalable, performant services and APIs in a Java ecosystem.
• Integrate AI coding agents and frameworks into your workflow to accelerate development, refactor legacy components, and improve code quality.
• Own the full technical lifecycle, including estimation, design, development, and delivery.
• Collaborate across the organization to ensure project success. You will often engage with QA, Data Centers, Marketing, Product Management, Support, Legal/Compliance, and Security to gather necessary context and requirements to implement solutions correctly, help customers, and solve problems.
• Diagnose complex issues and maintain the stability of large-scale production systems.
• Collaborate across functional teams and provide technical leadership to foster engineering excellence.

Required Qualifications:

• A strong track record of proven project deliveries and successfully shipping complex software systems.
• 7+ years of experience with Java and a deep understanding of backend architecture.
• Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) into your engineering workflow.
• Experience with…

- Relational databases, such as MySQL/Vitess and SQLite
- Observability tools, such as Prometheus, Grafana, and OpenSearch
- Data formats: JSON, XML

• Comfort working in a cross-platform environment (we develop on MacBooks for software that runs on Linux, and we use Windows for some testing).
• Filesystem expertise with Ext4, NTFS, and HFS+ (nice to have).
• Solid understanding of HTTP principles and security best practices.
• A strong desire to learn and adapt to rapidly changing technologies and tools.

Why Backblaze

• Build secure software used by companies worldwide
• Work at the intersection of AI, data, and cloud storage
• Collaborate with experienced engineering, security, product, and QA teams
• Competitive compensation and benefits
• Remote-first culture supporting work-life balance

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM

The salary range for this role is $50,000 - $120,000 per year (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 talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

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.

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 believe in surrounding ourselves with only the best and the brightest individuals. 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

About the Position

The Payroll Manager is a highly hands-on operational leader within the People Operations team, responsible for end-to-end processing of global payroll across North America, EMEA, LATAM, and APAC, as well as administering North American and international benefits programs.

Reporting to the Senior Director, People Operations, this is a true payroll practitioner role. You will be directly responsible for executing payroll cycles—not just overseeing them. The ideal candidate brings deep, hands-on expertise in Canada and US payroll processing and thrives in a detail-oriented, execution-focused environment.

Key Responsibilities

Global Payroll Execution (Hands-On)

• Personally execute end-to-end payroll processing, with a primary focus on Canada and US payroll
• Process payroll cycles across multiple regions, ensuring accuracy and timeliness
• Manage payroll inputs, calculations, adjustments, and reconciliations
• Support global year-end payroll activities, tax filings, and reporting

North American & International Benefits Administration

• Administer Canada and US benefits including health, dental, disability, life, retirement plans, wellness programs, and leaves
• Administer international benefits in partnership with global vendors and local brokers across EMEA, LATAM, and APAC
• Process enrollments, life events, terminations, and benefit updates globally
• Maintain accurate benefits data across payroll, HRIS, and vendor systems
• Ensure compliance with regional benefits regulations

Compliance, Controls & Governance

• Ensure compliance with federal, provincial, state, and international payroll legislation
• Maintain confidentiality and accuracy of payroll and benefits data
• Support audits and maintain internal controls
• Monitor and implement changes to global payroll and benefits regulations

Employee Support & Collaboration

• Act as escalation point for payroll and benefits inquiries
• Provide clear, accurate, and timely support to employees
• Collaborate with HR, Finance, and external vendors globally

Systems & Reporting

• Manage and optimize payroll systems such as UKG, Workday, CloudPay, ADP, or similar
• Maintain system integrity, audit integrations, and support enhancements
• Produce reporting and analytics for leadership, budgeting, and workforce planning

Who You Are

Experienced Payroll Practitioner (Mandatory)

• 10+ years of payroll experience, including 3+ years in a Payroll Lead or Manager role
• Mandatory: Hands-on experience processing Canada and US payroll (not just oversight)
• Proven experience as a payroll practitioner actively running payroll cycles
• Experience with global payroll (EMEA, LATAM, APAC) is preferred
• Experience administering North American and international benefits

Analytical & Detail-Oriented

• Strong numeracy skills with a high level of accuracy
• Advanced Excel skills (e.g., Pivot Tables, VLOOKUPs)

Organized & Trustworthy

• Ability to manage multiple time zones, deadlines, and complex data
• High level of confidentiality and attention to detail

Tech-Savvy & Improvement-Focused

• Experience with payroll/HRIS systems (UKG, Workday, CloudPay, ADP, etc.)
• Continuous improvement mindset with a focus on efficiency and accuracy

Skills & Qualifications

• Degree or diploma in HR, Business Administration, Accounting, or related field
• Payroll certification required (PCP, CPM, CPP, or equivalent)
• Strong written and verbal communication skills
• Proficiency in English; additional languages are an asset

Success in This Role

First 1–3 Months: Learning & Foundation

• Learn systems, workflows, and global payroll processes
• Begin processing payroll cycles with a focus on Canada and US
• Support benefits administration and employee inquiries

Months 4–6: Independent Execution

• Independently manage full-cycle Canada and US payroll
• Process international payrolls
• Lead benefits administration activities and reconciliations
• Support year-end payroll preparation

7+ Months: Ownership & Optimization

• Own global payroll and benefits operations end-to-end
• Lead compliance, audits, and year-end processing
• Drive process improvements and automation initiatives
• Act as subject matter expert for payroll and benefits

Interview Process

• Candidates will complete a practical payroll assessment/test to evaluate hands-on payroll knowledge and accuracy
• Interview stages will include recruiter screening, technical evaluation, and stakeholder interviews

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

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 are looking for a Senior Software Engineer, Delivery Loop to be part of our Developer Productivity Pillar. You’ll be directly responsible for how Webflow engineers build, test, and deliver value to our customers. This year, we have exciting opportunities to help drastically reduce cycle time by 50% or more for Webflow engineers!

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
• Reporting to the Senior Engineering Manager, Developer Productivity 

As a Senior Software Engineer, Delivery Loop, you’ll …

• Drive implementation and maintenance of Webflow’s build system, ensuring scalability, reliability, and performance.
• Oversee the configuration and management of multiple development environments, providing guidance to ensure consistency across teams and environments.
• Define and enforce development processes and best practices to improve efficiency and quality throughout the software development lifecycle.
• Spearhead the deployment strategy for production environments, implementing robust rollback mechanisms and monitoring solutions.
• Mentor junior members of the DevOps team, fostering their growth and knowledge in DevOps principles and technologies.
• Collaborate with software engineering teams to optimize application performance and resource utilization in production environments.
• Stay current with emerging DevOps trends and technologies, evaluating and implementing new tools to enhance the development workflow.
• Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams.

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:

Requirements:

• BA/BS Degree or equivalent experience
• 5+ years in DevOps, Site Reliability, or Infrastructure Engineering roles
• Business-level fluency to read, write and speak in English

You’ll thrive as a Senior Software Engineer, Developer Productivity, if you …

• Have a proven track record of successfully deploying and managing large-scale Node.js applications in production environments, utilizing Docker, Kubernetes, and AWS services.
• Possess a deep understanding of cloud-native architectures and best practices for building resilient, scalable, and secure applications on AWS.
• Excel in designing and implementing CI/CD pipelines tailored for Node.js projects, integrating automated testing and deployment processes.
• Enjoy collaborating with cross-functional teams to architect and implement solutions that meet business requirements while leveraging modern DevOps practices.
• Thrive in a fast-paced environment, where you can apply your expertise to drive continuous improvement and innovation in the development and deployment workflows.
• Are passionate about sharing your knowledge and mentoring team members to foster a culture of learning and excellence within the DevOps team.
• Possess a proactive mindset, always seeking opportunities to optimize processes, enhance system reliability, and improve the overall efficiency of the development and deployment lifecycle.
• Stay abreast of emerging trends and technologies in DevOps, Node.js, Docker, Kubernetes, and AWS, continuously expanding your skill set to adapt to evolving industry landscapes.
• Familiarity with infrastructure as code (IaC) tools like Pulumi for managing cloud resources.
• Have excellent communication skills to collaborate effectively with cross-functional teams and stakeholders, providing support and guidance on DevOps practices.
• 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.

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. 

#LI-AM1

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 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As an Agentic AI Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring solid senior-level experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

We are building a new AI capability for our client focused on designing and delivering agentic AI systems that materially improve seller productivity and decision‑making. The first major initiative is a chat‑based seller assistant that integrates enterprise data, surfaces insights, and guides sellers before and during customer interactions—reducing time spent in spreadsheets and increasing the quality of face‑to‑face sales conversations. 

This role is ideal for an engineer excited by early‑stage AI system design, ambiguity, and hands‑on experimentation with large language models. While deep prior experience with agentic systems is rare, we are especially interested in candidates who have built, prototyped, or meaningfully experimented with modern LLM‑driven applications. 

Role responsibilities 

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement 

• Develop a chat‑based seller assistant that:  

• Answers seller questions using enterprise data 

• Provides insights on ordering, pricing, and customer behavior 

• Generates pre‑visit one‑pagers to guide sales conversations 

• Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs 

• Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness 

• Build and evolve the platform using LangChain and LangGraph (initially in Python) 

• Design persistence and data access layers using Mongo or other data stores 

• Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases 

• Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team 

• Help define standards and best practices as this AI capability scales 

Must have qualifications 

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

• Experience as a full‑stack or backend engineer building production systems 

• Strong foundation in software engineering fundamentals (APIs, data modeling, system design) 

• Familiarity with databases, data stores, and data modeling concepts (experience with MongoDB is a plus, but not required) 

• Hands‑on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation 

• Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms) 

• Comfort working in early‑stage, ambiguous problem spaces where patterns are still emerging 

• Ability to communicate clearly with technical and non‑technical stakeholders 

• Willingness to work on a Mac‑based development environment 

• Experience using AI‑assisted development tools (Cursor, Copilot, etc.) as part of daily workflow 

• Advanced English skills 

Nice to have qualifications   

• Experience building or experimenting with agentic AI systems or multi‑step LLM workflows 

• Familiarity with LangChain, LangGraph, or similar orchestration frameworks 

• Python experience (Node.js / TypeScript also valued) 

• Experience with MongoDB or similar NoSQL data stores 

• Experience with enterprise platforms such as Salesforce, Snowflake, or similar 

• Exposure to Google AI / Google Cloud services 

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. 

The benefits  

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
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

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 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As an Agentic AI Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring solid senior-level experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

We are building a new AI capability for our client focused on designing and delivering agentic AI systems that materially improve seller productivity and decision‑making. The first major initiative is a chat‑based seller assistant that integrates enterprise data, surfaces insights, and guides sellers before and during customer interactions—reducing time spent in spreadsheets and increasing the quality of face‑to‑face sales conversations. 

This role is ideal for an engineer excited by early‑stage AI system design, ambiguity, and hands‑on experimentation with large language models. While deep prior experience with agentic systems is rare, we are especially interested in candidates who have built, prototyped, or meaningfully experimented with modern LLM‑driven applications. 

Role responsibilities 

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement 

• Develop a chat‑based seller assistant that:  

• Answers seller questions using enterprise data 

• Provides insights on ordering, pricing, and customer behavior 

• Generates pre‑visit one‑pagers to guide sales conversations 

• Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs 

• Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness 

• Build and evolve the platform using LangChain and LangGraph (initially in Python) 

• Design persistence and data access layers using Mongo or other data stores 

• Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases 

• Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team 

• Help define standards and best practices as this AI capability scales 

Must have qualifications 

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

• Experience as a full‑stack or backend engineer building production systems 

• Strong foundation in software engineering fundamentals (APIs, data modeling, system design) 

• Familiarity with databases, data stores, and data modeling concepts (experience with MongoDB is a plus, but not required) 

• Hands‑on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation 

• Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms) 

• Comfort working in early‑stage, ambiguous problem spaces where patterns are still emerging 

• Ability to communicate clearly with technical and non‑technical stakeholders 

• Willingness to work on a Mac‑based development environment 

• Experience using AI‑assisted development tools (Cursor, Copilot, etc.) as part of daily workflow 

• Advanced English skills 

Nice to have qualifications   

• Experience building or experimenting with agentic AI systems or multi‑step LLM workflows 

• Familiarity with LangChain, LangGraph, or similar orchestration frameworks 

• Python experience (Node.js / TypeScript also valued) 

• Experience with MongoDB or similar NoSQL data stores 

• Experience with enterprise platforms such as Salesforce, Snowflake, or similar 

• Exposure to Google AI / Google Cloud services 

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. 

The benefits  

This is a Full time position based in Colombia. The offered salary range is $20,000,000 COP - $26,000,000 COP monthly, depending on experience and location. 

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
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

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.

The Mission

We are seeking a talented Talent Recruiter to join our growing Talent Acquisition team. The right candidate is someone who thrives in a fast-paced, high-growth environment and is passionate about connecting top-tier talent with exciting opportunities in cloud technology. They should be an exceptional communicator, a strategic thinker, and a strong relationship builder who understands the nuances of hiring customer facing talent with deep cloud expertise.

Your mission will be to own and drive the end-to-end recruiting process, ensuring we attract, engage, and hire the best AWS-focused project managers, engineers, architects, and developers. You’ll collaborate closely with hiring managers, refine search strategies with our sourcing team, and provide a seamless candidate experience while maintaining a strong focus on hiring efficiency and pipeline metrics. 

Your Assignment

• Manage the full-cycle recruitment process, from sourcing and screening to closing and onboarding.
• Partner with hiring managers to understand team needs, align on hiring strategies, and drive efficient hiring processes.
• Work across the team to refine search strategies and build strong pipelines of qualified candidates.
• Conduct initial screening calls, assessing candidates for both technical skills and cultural fit.
• Guide candidates through the interview process, ensuring an exceptional experience at every stage.
• Own compensation negotiations and closing calls to secure top talent.
• Track and analyze key hiring metrics, providing regular reports on pipeline health, time-to-fill, and other recruiting KPIs.
• Utilize LinkedIn Recruiter and our ATS (Greenhouse) to manage candidates and drive proactive outreach efforts.
• Represent our company brand with energy, professionalism, and enthusiasm in all candidate interactions.

Your Qualifications

• 3+ years of experience as a recruiter, specializing in customer facing cloud experts including technical and non technical hiring (engineers, architects, developers, etc.).
• Proven experience managing end-to-end hiring processes, including sourcing, interviewing, and negotiating offers.
• Strong understanding of technology roles and skills, particularly within cloud computing (AWS preferred).
• Experience working with LinkedIn Recruiter and ATS platforms.
• Ability to build strong relationships with hiring managers and influence hiring decisions.
• Strong negotiation skills with a competitive mindset and a drive to secure top talent.
• Data-driven mindset with experience generating and reporting on hiring metrics.
• Excellent verbal and written communication skills.
• Highly self-sufficient, organized, and adaptable in a fast-moving environment.

Preferred Qualifications

• AWS Cloud Practitioner Certification.
• Experience working in a technology consulting or professional services environment.
• Familiarity with AWS-related roles and 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

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.

Role Summary

To achieve our mission to enable remote employment globally, we need to build a world-class product experience backed by our core Payments platform that is seamless, convenient, and reliable for our customers. We face new and exciting challenges every day and need your help to solve them. We are seeking a Legal Counsel – Employment to provide comprehensive legal guidance and support on various matters related to employee management.

The Legal Counsel - Employment (LATAM) will be reporting to the Director Global Employment and Workforce and would be a critical role in leading the labour & employment laws charter for Payoneer and WFM entities in the LATAM regions.

Prior Argentina employment law experience is mandatory. Exposure to other LATAM jurisdictions is a strong advantage.

Location – Buenos Aires, Sao Paulo or Mexico

What you’ll do

· Provide high-quality, practical employment law advice across the full employee lifecycle in Argentina, with the ability to support broader LATAM matters where relevant.

· Acting as the regional lead and subject matter expert for the region.

· Lead and support employee relations matters, including terminations, separations, disciplinary processes, and performance-related actions, ensuring risk-aligned outcomes.

· Advise on labour contracting and subcontracting compliance, ensuring ongoing adherence to regional regulatory requirements.

· Draft, review, and refine employment documentation, including employment agreements, separation and mutual termination letters, transfer/relocation documents, full and final settlement letters, and statutory HR policies.

· Contribute to the development and implementation of employment, HR, compensation, and workforce-structuring policies that align with local laws and business needs.

· Stay ahead of legal and regulatory changes across national and local employment laws, and translate updates into actionable guidance for internal stakeholders and clients.

· Collaborate closely with HR Ops, Payroll, Sales, GTM, Finance, and other internal teams to deliver coordinated, commercially aligned legal solutions.

· Support compensation and benefits reviews, ensuring alignment with statutory standards and market practices.

· Conduct legal research and prepare clear, business-friendly analysis on employment and labor law issues.

· Deliver training and guidance to internal teams and clients on employment law compliance, risk mitigation, and best practices.

· Support individual and large-scale workforce transitions, reorganisations, and restructuring, ensuring compliance with all legal requirements and documentation standards

Who you are 

· You hold a Bachelor’s degree in Law; a Master’s or LLM is an added advantage.

· You bring 5–6 years of hands-on experience in Argentinian employment and labor law. Experience supporting other LATAM jurisdictions is a strong plus.

· You have deep knowledge of Argentinian labor laws, regulations, case trends, and practical market practices.

· You understand the legal nuances of hiring, employee lifecycle management, workforce transitions, and separations.

· You have strong drafting skills and are experienced in preparing and reviewing employment agreements, HR policies, separation documentation, and related employment artefacts.

· You possess excellent analytical, research, and problem-solving abilities, with the ability to translate legal requirements into practical, business-aligned guidance.

· You communicate legal concepts clearly and confidently, partnering effectively with HR, business teams, and leadership.

· You can work independently, manage multiple matters simultaneously, and operate with sound judgment in fast-moving environments.

· Able to manage high volume case load.

· You have strong attention to detail, reliability, and a commitment to accuracy and compliance.

· You are proactive, adaptable, and comfortable navigating evolving laws, regulations, and business needs.

· Able to think outside of the box and interpret the law.

#LI-AG3

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL

Classification: Full time

Team: SEO Practice 

Reporting to: Associate Director

Location: Argentina 

What's the role 

As a SEO Manager you’ll deliver best-in-class work for clients. You’ll apply your SEO knowledge and experience so that you have a positive impact on client deliverable and the wider team around you. You will help to define the campaign delivery plan, including objectives and ways in which work can be successful or optimised further.  You will also generate and promote innovative new concepts to clients applying our test and learn approach and  share successes across the practice by identifying and improving guidelines, playbooks and processes including opportunities to automate work.

What would you do

• Act as lead for 2-3 client accounts - being their primary point of contact - delivering some work yourself and and pulling in team expertise as necessary 
• Set client strategy and roadmaps, prioritising high-value work based on organic search opportunity and client business goals
• Manage the work planned for your clients - delegating to our Specialists while staying accountable for deadlines and the final product 
• Develop specialist knowledge - becoming someone team members turn to for advice and insight (don’t worry, you don’t have to start off this way) 
• Run successful calls and meetings

Who you are

• Strong SEO knowledge -with experience of using tools e.g Screaming Frog, Deep Crawl, SEM Rush, Google Analytics
• Strong understanding of how search works. This includes what brings users to a site at different times, how to identify the keywords we need to target, and when search volume or difficulty aren’t the only things we should pay attention to
• Comfort with working with data, particularly using tools like Excel and Google Sheets. The ability to present data in a way that supports your arguments and conclusions without requiring the client to understand every detail
• Proactive and solutions-focused
• Ability to communicate directly with clients in a clear and empathetic way
• Ability to set client roadmaps, prioritise activity, and explain your prioritisations
• Passion for marketing and/or the digital world
• Fluent in English (as you'd be supporting US based clients!)

How you succeed

• You will live our culture code every day! 
• Effective campaign creation and delivery metrics. 
• Internal targets/metrics on technology adoption and process optimisation met.
• You will hit our quality assurance metrics on all campaigns you lead. 
• Client satisfaction targets being met (internal & external)
• Learning certifications created and met across the practice.
• Active involvement in mentoring less experienced SEO colleagues

Some benefits for you: ✨

• This is a full time job (en relación de dependencia).
• Hybrid salary scheme (50% paid in USD).
• 20 working days vacation plus all Argentina public holidays.
• Private healthcare (OSDE 360).
• Adaptive/hybrid working, with 3 days in our amazing Palermo Office (right opposite the Hippodrome!)
• Free breakfast and lunch in the office.
• Quarterly training sessions on wider business skills (pitching, strategy, client servicing)
• Mobility programmes - work from another country for up to 30 days!

#LI-CO1

The Mission

We are seeking a talented Senior Cloud Engineer to join our growing Managed Service Provider (MSP) team. The right candidate is someone who has deep expertise building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. Your mission will be to work alongside Caylent’s Architects and Delivery Managers to deliver AWS cloud solutions across our diverse and innovative customer base.

Your Assignment

Development

• Evaluate libraries, tools, and services for suitability
• Own the implementation of stories and other engineering of advanced cloud work for clients
• Perform research and documentation for problems and potential solutions
• Use various frameworks and methodologies to fully qualify problems, pain points, and potential jeopardies
• Build on Cloud Native patterns, IoT back-ends, serverless architectures, and highly automated work patterns and delivery methods
• Augment and design support systems and response procedures and coordinate hand-off to Cloud Operations (CloudOps) Support Engineers
• Hands-on involvement in the development of projects. Enforces standards, procedures, and methodologies for the software development life cycle. Move easily between big picture thinking and managing relevant detail
• Participate in cross-functional implementation teams to deliver solutions to clients
• Share knowledge and skills with other team members and client teams
• Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems
• Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions.
• Other duties as assigned

Observability and Monitoring

• Design, implement, and build scalable architectures leveraging AWS services with an emphasis on reliability, security, and cost efficiency.
• Build and maintain observability solutions using AWS native (e.g., CloudWatch, X-Ray, Config) and partner tools (e.g. Datadog, Dynatrace, OpenTelemetry) for APM, infrastructure monitoring, logging, and tracing.
• Work with a 24x7 response team and operations leadership group to help establish the precise collection of metrics, data and logs needed to properly monitor an application or workload
• Within this observability framework help establish corresponding runbooks and automation that can be deployed when certain metrics and conditions (monitoring) are met
• Work with the CloudOps teams in effort to reduce noise and address root causes of issues surfaced
• Partner with DevOps and security teams to ensure the necessary resilience, security, and cost-optimization features are embedded in solutions

General

• Learn, coach, and share knowledge and skills with other team members
• Prepare work for team members of varying levels of experience, defining stories and task type work
• Contribute to internal IP and open source development
• Participate in delivery efforts using Agile or other work methodologies
• Build relationships with vendors and partners
• Engage with clients including presentations, technical decisions, and education opportunities
• Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud
• Be a technical team advocate, ensuring clear direction and efficient execution
• Perform code reviews, provide feedback, and pair when beneficial
• Keep an eye out for opportunities to support our clients in even greater ways
• Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems
• Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions.
• Other duties as assigned

Your Qualifications

• Bachelor's degree in Information Technology, Computer Science, or a related field and 2 years of general IT experience (programming, hardware, software, etc); or 4 years of general IT experience (programming, hardware, software, etc)
• 3+ years of experience with Amazon Web Services
• 1+ year code-defined infrastructure experience
• 1+ Continuous Integration and Deliver (CI/CD) experience
• 3+ years of programming experience utilizing Python, Node.js, Typescript, GoLang, Java, C , or other similar languages
•  Have worked with Agile Project Management or other project management work methodologies

Preferred Qualifications

• Have an AWS Cloud Architect Associate, Sysops Associate, Developers Associate, DevOps Professional, and/or Solutions Architect Professional Certification
• Have an AWS Specialty Certification
• Intermediate experience building scalable, automated infrastructure
• Intermediate experience with AWS Lambda and “Serverless” systems
• Intermediate experience in large-scale enterprise IT environments
• Intermediate experience working in a consultative, client-facing consulting role
• Intermediate experience with Cloud Native patterns with services like AWS Lambda
• Able to demonstrate effective verbal and written 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

NOTE: This role may involve rotating shifts depending on project or client demands.

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

Architect responsible for designing enterprise-scale data solutions within engagements, guiding technical direction, and ensuring high standards of performance, security, and scalability.

Architects maintain primary depth in one core area (between Data Platform Development and Data Migration & Modernization) while maintaining architectural awareness across both.

Benefits 

• 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 Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

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

The Mission

We are seeking a seasoned Director of Cloud Native Applications to join our growing App Dev, AI, and ML practice. The ideal candidate brings a passion for modern software development, a strong customer orientation, and a proven ability to lead teams through complex technical engagements. They should also demonstrate a clear enthusiasm for AI-enabled delivery of software and ML, with the ability to champion practical uses of AI to enhance engineering productivity, solution quality, and customer outcomes.

Your mission will be to guide project delivery, support escalations, enable our engineering teams, and collaborate with clients and sales leaders to shape high-impact solutions. You'll play a pivotal role in ensuring technical excellence, scaling our delivery capabilities, and helping customers bring modern, AI-accelerated applications to life in AWS.

Your Assignment

The Cloud Native Applications Delivery Leader will be joining the team responsible for leading, growing, and evolving our application development, AI, and ML practice. This individual will take part in shaping the technical vision, establishing and enforcing best practices, and ensuring the successful delivery of cloud native applications and AI-enabled solutions for clients of all sizes. The role requires deep expertise in application development practices, strong knowledge in AWS technologies, a strong business acumen, and the ability to lead large, diverse delivery teams in a fast-paced environment. The ideal candidate will also bring a forward-looking perspective on AI-enabled software delivery, with the ability to embed AI-powered tools and ways of working into delivery execution, engineering excellence, and client value creation.

Key Responsibilities:

• Practice Leadership: Help define and execute the strategic vision for the Application Development, AI, and ML practice, ensuring alignment with company objectives, market opportunities, and AWS best practices.
• Technical Excellence: Establish, evolve, and promote industry-leading methodologies, frameworks, architectures, and delivery patterns for modern applications, cloud-native platforms, and AI-enabled solutions.
• People Management: Lead and mentor a team of 50+ software engineers, architects, AI, and consulting professionals, fostering a culture of innovation, continuous learning, engineering excellence, and practical AI adoption.
• Delivery Excellence: Oversee the successful execution of customer engagements, ensuring high-quality delivery, strong customer satisfaction, operational excellence, and effective use of AI-powered tools and practices to improve speed, quality, and outcomes.
• Partnership: Strengthen our collaboration with technology partners (AWS, Anthropic, etc.) by leveraging the latest technologies, partner programs, and innovation opportunities across application development, AI, and ML to enhance our service offerings.
• Business Growth: Support pre-sales efforts, contribute to go-to-market strategies, and help drive revenue growth by aligning technical capabilities, AI-enabled offerings, and customer needs with business opportunities.
• Innovation & Thought Leadership: Stay ahead of industry trends in application development, AI, and ML; drive innovation within the practice; and represent the company in conferences, webinars, customer conversations, and partner-related events (AWS, Anthropic, etc.).
• AI & Emerging Technologies Leadership: Champion the development and implementation of AI-powered solutions for both internal delivery acceleration and customer-facing outcomes, while helping teams identify practical, responsible, and high-value ways to apply emerging technologies.

Qualifications:

• 8+ years of experience in cloud engineering and software development, with at least 5 years in a leadership role.
• Proven experience leading and scaling an engineering practice or department, ideally within an AWS-focused services company.
• Proven experience leading and delivering large (multi-million dollar) software projects.
• Deep expertise in AWS services, architectures, and best practices.
• Deep expertise in software development patterns, architectures, and best practices.
• Strong background in DevOps, Infrastructure as Code (IaC), and automation.
• Excellent leadership, communication, and stakeholder management skills.
• Experience working with enterprise clients across various industries.
• Experience working with cross-practice teams (talent, sales, marketing, operations, etc.).
• Experience building, delivering, and using AI products and solutions.

Preferred Qualifications

• AWS Certifications.
• Experience working in a client-facing environment.
• Experience working in consulting or professional services.
• Experience working in a product-focused SaaS company.

Benefits

NOTE: We’re unable to provide visa sponsorship now or at any time in the future.

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

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

The Mission

We are seeking an exceptional Principal 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

• 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

● Deep expertise with AWS cloud services.
● Strong experience writing, reviewing, and deploying code using modern languages (Node.js, Go, React, Angular, TypeScript, Python, etc.).
● Technical background in application development and modern architecture.
● Experience managing customer engagements and contributing to project delivery.
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proficient in building and maintaining CI/CD pipelines and cloud automation.
● Experience working in client-facing roles within consulting or professional services.

Preferred Qualifications

• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience or exposure with UI/UX related deliverables 
• 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 with other cloud-related solutions

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 a talented Senior Architect to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise building a variety of cloud solutions and is passionate about working with our customers, partners, and employees to drive the business forward. Your mission will be to work alongside Caylent’s Engineers, Engineering Managers and Engagement Managers to deliver AWS cloud solutions across our diverse and innovative customer base.You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market.

Your Assignment

• Provide technical guidance to Caylent engineers on engagements
• Guide customers during the migration and/or modernization journey
• Develop long range plans with customer to adopt cloud best practices
• Ensure high quality of project delivery
• Design and implement IaC solutions that meet the specific needs of the customer
• Design and implement DevOps / GitOps solutions and workflows
• Manage project delivery using Agile methodology, creating backlogs that accurately describe the work to be implemented

Your Qualifications

• Experience implementing IaC in AWS
• Excellent verbal and written communication skills
• Experience leading professional services engagements
• Enthusiasm for working in a startup environment and the ability to be cross-functional
• Possess a natural curiosity and excitement for learning new technology
• Technical background in DevOps or Cloud

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

The Mission 

We are seeking an exceptional Senior Frontend Developer to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in developing applications and is passionate about working with our customers, partners, and colleagues to drive innovation forward.

Your mission will be to work alongside Caylent’s Architects, Engineering Managers, and Engineers 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 specialist, rocketing Customers forward as you participate in development activities, standups, sprint planning retrospectives, and more. 
• You will demonstrate Caylent's commitment to being an Exceptional Partner by delivering well-documented, tested, and production-ready code to our customers while diving deep into any problems that may arise across their environments. 
• You will Lead By Example, using your expertise in frontend development to deliver solutions defined by the Design team and led by your Architect, and coach less-experienced developers as your team builds together. 
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.

Your Qualifications 

Core Consulting Qualifications

Customer Experience

• Committed to delivering exceptional client experiences, professionally responding to customer inquiries, clearly communicating project status, and providing valuable solutions aligned to client needs.

Collaboration

• Demonstrates strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback.

Communication

• Effectively communicates technical information clearly and actively listens to clients and team members to confirm understanding and prevent miscommunication.

Technical Qualifications

• In depth experience developing with frontend frameworks such as React, Vue, Next.JS, Typescript, Angular
• In-depth experience building and styling components custom or utilizing frameworks such as TailwindCSS, ShadCN, MUI, GatsbyJS
• Experience collaborating closely with UX/UI designers to translate wireframes and prototypes into polished, accessible, and performant front-end experiences.
• Ability to contribute to early design conversations, offering engineering insights to ensure that design visions are both feasible and scalable in implementation.
• Experience using Figma’s Dev Mode to inspect designs, gather specs, access assets, and ensure pixel-perfect implementation aligned with UX intent.
• Ability to design and implement micro animations that enhance user experience, communicate state changes, guide user attention, and add personality to the interface without detracting from usability.
• Demonstrated experience in consuming RESTful services and API integrations.
• Understanding of frontend design patterns such as SPA, MVC, etc.
• Understanding of CSS variables and the process of creating scalable systems
• Proven ability to learn new technology quickly and effectively.
• Desire to integrate innovative technologies into development workflow
• Experience with Generative AI technologies both in accelerating personal productivity (Cursor, Claude Code, GitHub CoPilot, etc) and integrating AI features into a front-end
• Experience participating in a developer git workflow include branching, merging, and deploying front-end code to AWS
• Self-organizing, detail-oriented, and high achieving. 
• Ability to work independently.
• Excellent written and verbal communication. 

Preferred Qualifications

• BS in a computing-related or UI/UX field, or commensurate experience.
• Experience with testing and automation.
• Experience with Large Language Models (LLM) and Generative AI
• Familiarity with design thinking methodologies

Benefits

• 100% remote work
• Private Health Insurance
• Flexible Time Off
• 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

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.