Terraform Jobs in Mexico.

Speechify

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Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico

Speechify · Guadalajara, Mexico

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Global Distributed Posted May 5, 2026

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.

What we offer

A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life-changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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Speechify

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Senior Database Reliability Engineer

Sezzle · Mexico, Remote

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DV-Development Bogota, Colombia Latin America [Remote] Posted May 5, 2026

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

About Sezzle:

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

About the Role:

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

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

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

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

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

Compensation:

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

What You'll Do:

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

What We look for:

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

Preferred Knowledge and Skills:

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

About You:

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

Sezzle’s Technology Stack:

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

What Makes Working at Sezzle Awesome?

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

#Li-remote #full-time

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Sezzle

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Contract: AI Operations Specialist

Newsela · Remote: Argentina; Brazil; Chile; Colombia; Costa Rica; Mexico

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Technology Remote - LATAM Contractor Posted May 4, 2026

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

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Contract: Senior Software Engineer, Back End

Newsela · Remote: Argentina; Brazil; Chile; Colombia; Costa Rica; Mexico

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Technology Remote - LATAM Contractor Posted May 4, 2026

Why You'll Love This Role:

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

What You'll Be Doing:

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

About You:

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

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

About Newsela:

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

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Contract: Lead Analytics Engineer - Data Team

Newsela · Remote - Argentina; Brazil; Mexico; Colombia; Chile; Costa Rica

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Technology Remote - LATAM Contractor Posted May 4, 2026

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

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TechLead/Architect

PALO IT · Ciudad de México

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Mexico City Technology PALO IT Mexico Posted May 4, 2026

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We’re proud to be a World Economic Forum New Champion and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts from 50+ nationalities)
We are robust and resilient (100% independent and 0 debt)
We are entrepreneurs and passionate experts: we invest in what we genuinely believe in and work as a collective intelligence
We are positive, courageous, caring, doers, and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with strong collaboration between generative AI and our best talents:

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
Quality consistently exceeds the output of our best traditional engineering teams.
A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end—hands-on when needed—while guiding teams toward scalable, secure, and maintainable solutions.

Key Responsibilities

Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability.
Drive architectural decisions and trade-offs (e.g., microservices vs modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.
Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.
Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
Encourage AI-first engineering practices (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).
Strong backend expertise in Java (ideally 17/21/25+) or .NET, with solid testing practices (e.g., JUnit/Mockito or .NET equivalents) and performance awareness.
Strong frontend expertise in Angular (ideally 12+) with TypeScript, RxJS, frontend architecture, and performance best practices.
Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.
Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and a secure-by-design mindset.

Nice to have / Strong plus

Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.
Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).
OAuth2/OIDC, JWT, and security best practices (OWASP).
Experience in high-traffic systems, performance tuning, and caching strategies.
Experience working in AI-assisted engineering environments and setting quality/security guardrails.
Excellent communication and stakeholder management skills; able to influence decisions and align teams.
Professional English (B2+ preferred) for global collaboration and documentation.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company
Deliver projects with a positive impact
Train 100% of our workforce on impact
Achieve B Corp certification among all our offices across the globe
Continuously measure & improve employee happiness

Our clients are amongst the world’s most successful companies. We innovate with established Fortune 1000s, SMEs, and start-ups who aim to make an impact, become global leaders, and address the world’s most complex challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects
Knowledge sharing
Personalized training
Entrepreneurship & intrapreneurship

For more on our team culture and benefits:

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

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Software Engineer (front and backend) - Hybrid

SimplePractice · Mexico City

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Engineering Mexico City Posted May 4, 2026

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

We think big
We take simplicity seriously
We come as we are
We act with humility
We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our "Beyond the App: Building the Future of Tech with AI & Data" Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

SimplePractice is hiring for an experienced Senior Software Engineer to join our team in a hybrid role. The ideal candidate will have expert-level knowledge in Ruby on Rails and extensive frontend development experience. This role will be instrumental in implementing a wide variety of planned features and service enhancements to support our growing platform.

As one of the first hires in our brand-new Mexico City location, you will play a pivotal role in helping us build a team of software developers who are passionate about what they do.

About You

You are a passionate, talented engineer who is willing to push the limits of existing technology to create the best possible user experience
You work on the front-end with heavier emphasis on the backend to develop new features from start to finish, including design of architecture, coding, and testing
You are delighted by good design and bring that taste to your front-end work
You love building products that help 200,000+ customers in their day-to-day life

Responsibilities

Build out the next generation practice management platform
Work with our Engineering Leadership and Talent group to scale our new office in Mexico City
Collaborate with our Product group to help understand customer needs, troubleshoot potential problems and define upcoming features
Write clean, efficient and well-tested code that improves our code base in meaningful ways
Own frontend architecture decisions including state management, UI performance, navigation
Help diagnose problems and architect solutions

Desired Skills & Experience

You have 2 to 5 years of engineering experience, with hands-on Ruby on Rails expertise for a part of your career
You're proficient in English, with strong communication and collaboration skills
You have a degree in Computer Science or a related technical field
You possess strong experience in at least one modern JavaScript framework, specifically Ember.js or React.js, and the ecosystem around those frameworks
You have designed and implemented large, scalable web applications and have an appreciation for clean, elegant, and simple code
You have experience taking Rails apps from idea to production
You understand the value and nuances of Test-Driven Development
You're comfortable working with remote teams, using GitHub, Slack, Notion, and Zoom to collaborate

Bonus Points

You’re excited about holding a lead role to help us scale a brand new software developer office
You have a good understanding of web application security and best practices
Working knowledge of managing environments using Docker, MySQL, Postgres, Redis, NGINX, and various AWS services
Confident working with production environments to help troubleshoot problems
Experience with Linux
Infrastructure management via Terraform/Ansible
Experience with compliance standards PCI/HIPAA

Benefits

We offer a competitive benefits program including:

Privatized Medical, Dental & Vision Coverage
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
Monthly Meal Reimbursement
Holiday Bonus, 15-day Aguinaldo
Hybrid Work Schedule & Catered Lunch
A relocation bonus for candidates joining us from a different city
Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$649,280—$811,600 MXN

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Software Engineer, Data Infrastructure & Acquisition - Monterrey, Mexico

Speechify · Monterrey, Mexico

Apply now

Global Distributed Posted May 1, 2026

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.

What we offer

A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life-changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

Ready to apply?

Speechify

View all jobs →

TH

Senior Site Reliability Engineer

Third-Party Job Posts · Mexico

Apply now

Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

How You'll Make an Impact:

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

Our SRE Team:

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

What You Bring to the Team:

Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
Participate in on-call rotation to support the production environment and ensure rapid response to outages
Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools

What Sets You Up for Success:

5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
Experience with GitOps and ArgoCD
Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
Business professional English required

Bonus Skills to Stand Out:

Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
Support and enhance the release process through CI/CD pipeline development and optimization
Experience working in PCI-compliant environments and security-focused infrastructure
Familiarity with Kong API Gateway and API management at scale

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

Ready to apply?

TH

Third-Party Job Posts

View all jobs →

TH

Senior Site Reliability Engineer

Third-Party Job Posts · Mexico

Apply now

Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

How You'll Make an Impact:

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

Our SRE Team:

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

What You Bring to the Team:

Design and implement a reliable, scalable, and efficient cloud infrastructure to support our global platform's growth
Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components
Develop and continuously improve monitoring and logging systems using Prometheus, DataDog, and Loki stacks
Participate in on-call rotation to support the production environment and ensure rapid response to outages
Lead incident response efforts, ensuring minimal service impact while documenting learnings and implementing preventive measures
Collaborate with development teams to establish Service Level Objectives (SLOs) and ensure systems meet or exceed reliability targets.
Champion SRE best practices across engineering, mentoring teams on resiliency, performance optimization, and scalability
Automate platform operations with infrastructure-as-code (Terraform) and configuration management tools

What Sets You Up for Success:

5+ years of hands-on experience as an SRE or Systems Engineer working extensively with AWS cloud infrastructure
3+ years of production experience with Kubernetes, Docker, and Helm charts at scale
Proven track record implementing and scaling Elastic Kubernetes Service (EKS) platforms
Strong expertise with monitoring, logging, and alerting technologies (ELK, Datadog, Loki, or AWS CloudWatch)
Experience with GitOps and ArgoCD
Working knowledge of web infrastructure, including NGiNX, Ingress controllers, MySQL/PostgreSQL/Aurora, Redis/Memcached, and SQS
Business professional English required

Bonus Skills to Stand Out:

Advanced Database Administration experience with Aurora, MySQL, or PostgreSQL
Support and enhance the release process through CI/CD pipeline development and optimization
Experience working in PCI-compliant environments and security-focused infrastructure
Familiarity with Kong API Gateway and API management at scale

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

Ready to apply?

TH

Third-Party Job Posts

View all jobs →

TH

Senior Site Reliability Engineer

Third-Party Job Posts · Mexico

Apply now

Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

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

Our SRE Team:

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

What You Bring to the Team:

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

What Sets You Up for Success:

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

Bonus Skills to Stand Out:

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

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

Ready to apply?

TH

Third-Party Job Posts

View all jobs →

TH

Senior Site Reliability Engineer

Third-Party Job Posts · Mexico

Apply now

Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

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

Our SRE Team:

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

What You Bring to the Team:

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

What Sets You Up for Success:

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

Bonus Skills to Stand Out:

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

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

Ready to apply?

TH

Third-Party Job Posts

View all jobs →

TH

Senior Site Reliability Engineer

Third-Party Job Posts · Mexico

Apply now

Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

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

Our SRE Team:

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

What You Bring to the Team:

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

What Sets You Up for Success:

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

Bonus Skills to Stand Out:

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

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

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Third-Party Job Posts

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Staff Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

View all jobs →

Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

View all jobs →

Senior Software Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

View all jobs →

Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

View all jobs →

Senior Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Senior Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

View all jobs →

Lead Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

Apply now

Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Lead Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

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Varicent

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Staff Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes)

Varicent · Mexico, Remote

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Engineering Mexico Posted May 1, 2026

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

Innovate with Purpose: Build impactful solutions for customers worldwide.
Join Excellence: Work in a diverse, collaborative, and innovative team.
Shape the Future: Lead in redefining revenue optimization.
Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

Our ELT (Extract, Load, Transform) application simplifies data workflows, enabling organizations to extract insights faster, automate repetitive tasks, and unlock the true potential of their data.

We are looking for a Staff Software Engineer with deep experience designing and scaling large-scale, data-intensive systems. This role requires hands-on expertise working with massive datasets, distributed data pipelines, and high-throughput backend architectures. You will play a key role in driving our backend services, data platforms, and cloud-native systems forward.

What You’ll Do

Design, build, and scale new features for REST APIs and large-scale data processing pipelines that handle high-volume datasets across distributed systems.
Architect and optimize backend services for high throughput and low-latency performance.
Develop data-intensive and event-driven applications using Python, Typescript, Spark, and AWS-native services.
Work with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform very large datasets.
Improve system performance, reliability, and scalability across microservices and cloud infrastructure.
Partner with senior engineers, architects, DevOps, and QA throughout the full development lifecycle.
Mentor developers, guide code reviews, and raise engineering quality standards.
Automate deployments and CI/CD using Terraform, Serverless Framework, and Kubernetes-based workflows.

What You Bring

Technical Expertise

7+ years of backend or full-stack engineering experience with a strong backend focus.
7+ years of hands-on Python experience (APIs, automation, large-scale data pipelines).
3+ years working with Typescript / Node.js.
Advanced experience with AWS (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
Strong practical experience deploying and optimizing production workloads on Kubernetes.
Proven experience working with large datasets, distributed computing, and batch or stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
Solid understanding of system design, distributed systems, scalability patterns, and cloud architecture.

Collaboration & Communication

Strong business-level English proficiency to communicate effectively with cross-functional teams across regions.
Ability to collaborate, document solutions clearly, and participate in technical discussions with stakeholders.

🗒️ Note:

Candidates selected for this position will be hired directly by Varicent.
This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.

🍎 Benefits

Market Leading Compensation Package.
Wellness Programs to Support Health and Wellbeing.
Working with the latest tools and technologies in a fast-paced environment.
Remote Work Flexibility.
Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
Global Connected Culture: Hubs in Romania, UK, US, Canada.
Dynamic Work Culture: Thrive in our innovative and multicultural environment.
Grow with Us: Continuous development opportunities.

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Ready to apply?

Varicent

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Sr. Linux & OCI Administrator (Oracle Linux / RHEL)

Mitratech · Remote Mexico

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Cloud Services Mitratech MX Posted Apr 30, 2026

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse, inclusive work culture centred on great people practices, learning opportunities, and fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered.

Job Overview

We are seeking an experienced Sr. Linux & Oracle Cloud Infrastructure (OCI) Administrator to support a production application hosted on OCI. The role focuses on Oracle Linux administration, OCI networking and security, Terraform-based automation, and operational support for SFTP and mail services.

Essential Duties & Responsibilities:

Administer and support Oracle Linux systems (patching, tuning, troubleshooting)
Manage OCI resources: compute, VCNs, subnets, routing, load balancers
Configure and maintain OCI security (IAM, NSGs, security lists, compartments)
Design and troubleshoot OCI networking and connectivity issues
Provision and manage infrastructure using Terraform (IaC)
Support SFTP and mail services (secure access, monitoring, troubleshooting)
Perform system monitoring, backup coordination, and DR support
Participate in production support, incidents, and on-call rotations
Maintain operational documentation and runbooks

Requirements & Skills:

7+ years professional experience administering Linux in production (preferably Oracle Linux or closely related RHEL).
Strong Hands-on experience with OCI administration (compute, networking, IAM, security)
Experience supporting Oracle WebLogic Server
Working knowledge of Oracle Database environments
IaC & Automation: Deep proficiency with Terraform (modules, workspaces, remote state, testing) and Ansible (roles, collections, idempotency, vault).
Systems Expertise:

Kernel, systemd, SELinux/AppArmor, LVM/filesystems (xfs/ext4/btrfs), iSCSI/NFS, SSH/hardening.
Package and patch management (yum/dnf, repo mirrors, Ksplice), vulnerability management, and baseline hardening (CIS/STIG).

Solid understanding of Networking Fundamentals: TCP/IP, routing, DNS, DHCP, load balancing, proxies, firewalls/security groups, PKI/certificates (TLS).
Scripting: Proficiency in Bash
Experience with SFTP and SMTP/mail services
Deployment Experience: Comfortable with both modern (immutable, pipelines, containers) and older practices (in‑place upgrades, change windows, maintenance runbooks).
Troubleshooting: Proven ability to diagnose and resolve complex incidents across OS, network, and platform layers.
Documentation & Communication: Clear written/verbal communication; ability to author design docs, runbooks, and RFCs.

Nice to Have (Preferred)

Certifications: Oracle Linux, OCI Architect Professional/Associate, RHCSA/RHCE (or equivalents), Terraform Associate, Ansible Automation.
Tooling: Packer, GitHub Actions/GitLab CI/Azure DevOps/Jenkins, HashiCorp Vault, OCI Bastion/Cloud Guard, Security Zones.
Containers & Orchestration: Docker, Kubernetes, admission controls, image signing, and runtime policies.

Preferred Qualifications

OCI certifications
Experience with monitoring tools and CI/CD pipelines
High availability and disaster recovery experience

Soft Skills

Strong troubleshooting skills
Ability to work in production-critical environments
Good communication and documentation skills

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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Senior Data Engineer (Hybrid)

SimplePractice · Mexico City

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Data & Analytics Mexico - Remote Posted Apr 30, 2026

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

We think big
We take simplicity seriously
We come as we are
We act with humility
We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons
Work with analytics to create company wide alignment through standardized metrics across the company
Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product
Manage the complete data stack from ingestion through data consumption
Build tools to increase transparency in reporting company wide business outcomes
Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

Education & Experience
- BS/MS in Engineering, Computer Science, Mathematics, or related field
- 7+ years in Data or Analytics Engineering
- Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
Data Engineering & Pipelines
- Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
- Expert in SQL and data modeling (relational, dimensional, semantic)
- Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
- Hands-on with DBT for modular, testable transformations
- Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
- Familiar with ELT, schema-on-read, DAGs, and performance optimization
Cloud & Infrastructure
- Experience with AWS (S3, RDS, Redshift, etc.)
- Familiar with Terraform, Docker, and containerized workflows (bonus)
- Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
Analytics & Enablement
- Experience building and supporting semantic layers for self-serve analytics
- Proficient with BI tools like Looker, Tableau, or Sisense
- Comfortable standardizing metrics and enabling trusted, consistent access to data
Programming & Scripting
- Proficient in Python and Unix/Linux scripting
- Comfortable working with APIs (e.g., using curl)

Bonus Points

AWS DevOps - Terraform, Kubernetes, Docker
Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

Privatized Medical, Dental & Vision Coverage
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
Monthly Meal Reimbursement
Holiday Bonus, 15-day Aguinaldo
Hybrid Work Schedule & Catered Lunch
A relocation bonus for candidates joining us from a different city
Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

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Ingeniero/a de Datos Senior (Híbrido)

SimplePractice · Mexico City

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Data & Analytics Mexico - Remote Posted Apr 30, 2026

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

Pensamos en grande
Tomamos la simplicidad en serio
Venimos tal como somos
Actuamos con humildad
Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
Gestionar el stack completo de datos desde la ingestión hasta el consumo.
Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
Más de 7 años en Data Engineering o Analytics Engineering.
Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

Experiencia en arquitectura empresarial y modelado dimensional.
Experto en SQL y modelado de datos (relacional, dimensional, semántico).
Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
Experiencia práctica con DBT para transformaciones modulares y testeables.
Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

Experiencia con AWS (S3, RDS, Redshift, etc.).
Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

Experiencia construyendo y soportando capas semánticas para analítica self-serve.
Dominio de herramientas BI como Looker, Tableau o Sisense.
Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

Dominio de Python y scripting en Unix/Linux.
Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

AWS DevOps (Terraform, Kubernetes, Docker).
Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

Seguro médico, dental y de visión privado
Apoyo para trabajo desde casa
Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
Reembolso mensual de alimentos
Bono navideño y 15 días de aguinaldo
Esquema híbrido de trabajo y comidas patrocinadas
Bono de reubicación para candidatos que se muden desde otra ciudad
Grupos de Recursos para Empleados (ERGs)

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CA

AI/ML Engineering Manager

Caylent · MEXICO

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Cloud Native Applications Remote Posted Apr 30, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

100% remote work
Medical Insurance for you and eligible dependents
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.

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Ready to apply?

CA

Caylent

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EN

Sr Java Backend Developer

Encora · Mexico

Apply now

CSA Billable Latin America Posted Apr 29, 2026

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 19519

Job Summary

We are looking to recruit a highly skilled and experienced Backend developer with experience in Kubernetes to work with global development teams from Europe, Cananda, and US. You will be involved in designing, developing, deploying, and managing scalable and resilient backend services within a containerized, cloud-native environment, and on-premise customer environment. The candidate needs a strong foundation in backend development principles, coupled with hands-on expertise in leveraging Kubernetes for orchestrating microservices and ensuring high availability and performance of our applications. You will collaborate closely with frontend developers, DevOps engineers to deliver innovative software solutions.

Responsibilities and Duties

Design, develop, and maintain backend code using Java, Python programming languages.

Develop and manage RESTful APIs and microservices.

Containerize applications using Docker and create/manage Kubernetes manifests and Helm charts for deployment.

Deploy, manage, and scale applications within Kubernetes clusters on cloud platforms AWS, Azure, and customer’s on-prem environments.

Implement and manage CI/CD pipelines for automated builds, testing, and deployments.

Design and interact with databases (SQL and NoSQL) ensuring optimal performance and data integrity.

Monitor application and cluster health using tools like Prometheus, Grafana, and ELK stack; troubleshoot and resolve issues promptly.

Implement and enforce security best practices for applications and infrastructure within the Kubernetes environment.

Optimize applications for maximum speed, scalability, and resilience.

Stay current with emerging cloud-native technologies and Kubernetes best practices.

Contribute to infrastructure-as-code initiatives using tools like Terraform or Ansible.

Participate in code reviews and advocate for high-quality coding standards.

Qualifications and Skills

BS or MS in Computer Science or related Engineering discipline
Strong experience with Java and some knowledge of Python

Proven experience delivering software applications

Solid understanding of how to build publicly exposed APIs

Familiarity with CI/CD principles and tools technologies: Jenkins and GitLab Runner

Must be self-motivated but be able to work well in a team environment

Team player; willing to coach junior team members and cooperate on cross-functional problem solving

Experience with Cloud and SaaS Development: Azure, AWS, Docker, Kubernetes.

Working in an Agile development environment

Desired Experience

Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible).

Understanding of networking concepts in Kubernetes.

Experience with serverless computing.

Distributed Computing: distributed job orchestration on Kubernetes, parallel execution patterns, backpressure, sharding/partitioning, fault tolerance, checkpointing; frameworks (Ray/Spark/Dask) if applicable. We are mostly interested in Ray

Implemented Kafka-based message-driven services and event-driven autoscaling on Kubernetes using KEDA (consumer-group scaling, DLQ/error handling, and scaling policies with performance/cost guardrails).

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Ready to apply?

Apply to Encora

EN

Encora

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CA

Machine Learning Architect - Not an Active Opening, Building Talent Pipeline

Caylent · MEXICO

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Cloud Native Applications Remote Posted Apr 28, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

100% remote work
Medical Insurance for you and eligible dependents
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.

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Ready to apply?

CA

Caylent

View all jobs →

AI & Software Engineer Lead

PMG · Mexico City, Mexico

Apply now

Data & Technology:Development Mexico City Office Posted Apr 27, 2026

We are PMG

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

Professional proficiency in written and spoken English is required, including for resume submission and interviews.

Who You Will Be Working With

As an Lead Software Engineer at PMG, you’ll join a dynamic team that thrives on collaboration, creativity, and innovation. Our team develops Alli, a cloud-based suite of AI-powered tools that revolutionize digital marketing for some of the world’s most iconic brands. Last year, Alli powered campaigns reaching over 1 billion consumers across 80+ countries, delivering exceptional results that make a meaningful impact on our clients’ businesses.

You’ll work across one of Alli’s key pillars—Actions, Data, or Insights—collaborating with cross-functional teams to solve challenging problems and build scalable, AI-driven solutions. Your work will directly contribute to enhancing PMG’s platform, enabling brands to connect with their audiences in innovative and impactful ways.

This is a place for builders and problem-solvers who love to tackle the challenges of tomorrow. At PMG, your work won’t just live in a prototype—it will ship, making an immediate difference in the world of digital marketing.

What You’ll Be Doing

Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications.
Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions.
Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes.
Building scalable products that drive measurable results for our clients.
Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices.
Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle.
Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli.
Pioneering development in state-of-the-art technologies that transform the marketing technology space.

What You Will Bring

5+ years of backend development experience with NodeJS or Python or Go and a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience. We are also open to Frontend specific experience.
3+ years working with modern backend frameworks such as ExpressJS, Django or Flask.
Proven experience designing and integrating RESTful APIs and microservices architectures.
Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support.
Experience mentoring and guiding engineers to achieve technical excellence.
Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design.
Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions.
Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments.
Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently.
Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems.
Strong expertise in monitoring tools such as Grafana, Prometheus, or ELK Stack for performance optimization and issue resolution.
Strong written and verbal communication skills to collaborate effectively across cross-functional teams.
A proactive, solution-oriented mindset with a passion for creating reliable and impactful backend systems.

Nice To Have Qualifications

Interest or familiarity working in the Digital Marketing industry
AWS Certifications

What We Offer

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
Parental Leave: We provide paid parental leave to support your family during important life events.
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
Fertility and Family Support: Access fertility benefits for all team members and their spouses.
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
Pet Insurance: Protect your pet's health and your finances.
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
Commuter Benefits: Access support for travel and commuting needs, where available.
Annual Bonus: All employees are eligible for an annual bonus.
Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Ready to apply?

Apply to PMG

PMG

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AI & Software Engineering Senior Manager

PMG · Mexico City, Mexico

Apply now

Data & Technology:Development Mexico City Office Posted Apr 27, 2026

We are PMG

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

Professional proficiency in written and spoken English is required, including for resume submission and interviews.

Who You Will Be Working With

As the AI & Software Engineering Senior Manager, you’ll work within Alli, our proprietary digital marketing platform. This group is dedicated to building organizational tools that help orchestrate multimillion-dollar budgets and enable seamless collaboration across globally integrated teams, supporting some of the world’s most recognizable brands.

In this role, you’ll work alongside engineers, product managers, and designers who thrive on tackling challenging problems and building innovative solutions. Together, you’ll leverage AI-powered tools and cutting-edge technology to transform how digital marketing strategies are developed and executed. This team doesn’t just dream up ideas—we bring them to life, delivering real-world impact for our clients and the industry at large.

Our collaborative and fast-paced environment fosters creativity, growth, and innovation. You’ll play a critical role in defining the technical vision and roadmap, driving solutions to complex challenges like data unification, AI-driven automation, and scalable system design. This is an opportunity to lead with purpose, inspire your team, and contribute to a product that’s shaping the future of digital marketing.

What You’ll Be Doing

Define and manage a multi-year product roadmap in collaboration with Product Managers and Designers to create transformative products.
Drive innovative projects with a high impact on the media and advertising industry.
Build and oversee the implementation of complex data integrations via APIs and other common methods.
Design and manage highly scalable technical solutions, ensuring architectural excellence and cutting-edge performance.
Conduct code reviews, mentor junior engineers, and provide constructive feedback to help grow your team’s technical expertise.
Collaborate closely with cross-functional Data & Tech teams to integrate solutions across Alli.
Champion agile methodologies, maintaining high team productivity and fostering a collaborative, inclusive culture.
Work within a dynamic environment that embraces short decision-making processes and empowers innovation.

What You Will Bring

6+ years of hands-on experience as a software engineer working across the entire SDLC.
3+ years leading and managing a team of 5–10 highly skilled developers in an agile SCRUM environment.
2+ years working with the MERN stack (MongoDB, Express.js, React, Node.js) or a similar skill set.
3+ years of experience working within AWS cloud environments using ECS, Fargate, Lambdas, SQS, Postgres and other similar technologies
Familiarity with infrastructure-as-code tools such as Terraform, Ansible, Chef, or Puppet to streamline deployments.
Experience or interest in Generative AI, Large Language Models (LLMs), and platforms like OpenAI, Gemini, Bedrock, or LangChain.
Experience building a team from the ground up

Proficiency in automated testing, code reviews, clean code principles, and refactoring strategies to ensure high-quality code.
Hands-on experience building and scaling RESTful APIs for robust and efficient systems.
Proficiency in Docker or Kubernetes, with experience managing configurations in containerized environments.

A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.

What We Offer

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
Parental Leave: We provide paid parental leave to support your family during important life events.
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
Fertility and Family Support: Access fertility benefits for all team members and their spouses.
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
Pet Insurance: Protect your pet's health and your finances.
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
Commuter Benefits: Access support for travel and commuting needs, where available.
Annual Bonus: All employees are eligible for an annual bonus.
Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Ready to apply?

Apply to PMG

PMG

View all jobs →

Senior AWS Data Engineer

ON.energy · Argentina; Chile

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Software Platform Argentina Chile Mexico Posted Apr 24, 2026

ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.

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

Responsibilities Will Include:

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

Requirements:

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

Preferred Experience:

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

Soft Skills:

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

For US-based roles - What you’ll get:

Competitive salary + annual performance-based bonus eligibility
Medical, dental, and vision insurance
401(k) with company match
Paid time off and company holidays

For Mexico-based roles - What you’ll get:

Competitive salary + annual performance bonus eligibility
Christmas Bonus (Aguinaldo): 30 days
Major medical expenses and life insurance
Paid time off and holidays (per local policy)

For all roles:

Professional development and growth opportunities
Opportunity to grow with a mission-driven team shaping the future of clean energy
Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com
Benefits vary by role and location and are subject to change.

Ready to apply?

Apply to ON.energy

ON.energy

View all jobs →

Cloud Developer --- Hibrido CDMX

Orion Innovation · Mexico City, Mexico City, Mexico

Apply now

Delivery Mexico Posted Apr 23, 2026

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

Licenciatura o Ingeniería en:
Sistemas
Computación
Matemáticas
Física
Carrera afín
(O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

Modalidad de trabajo: Híbrido
Días en oficina: 2 veces por semana
Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
Ubicación: CDMX
Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

Google Professional Cloud Developer
Google Professional Cloud Architect (deseable para perfil SR)
Google Professional Machine Learning Engineer
Google Associate Cloud Engineer

Amazon Web Services (AWS)

AWS Certified Developer – Associate
AWS Certified Solutions Architect – Associate
AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

Microsoft Certified: Azure Developer Associate (AZ‑204)
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

Google Professional Machine Learning Engineer
AWS Certified Machine Learning – Specialty
Azure Data Scientist Associate
TensorFlow Developer Certificate
IBM AI Engineering Professional Certificate

Idioma

Inglés técnico (deseable)

Habilidades Blandas

Trabajo en equipo
Autogestión
Perfil autodidacta
Comunicación efectiva
Resolución de problemas
Adaptabilidad
Proactividad
Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

Git
GitHub Actions / GitLab CI
Cloud Build / Cloud Deploy (GCP)
CodeBuild / CodePipeline (AWS)
Azure DevOps Pipelines

Lenguajes de Programación

Python
Node.js
TypeScript (deseable)
SQL
YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

Linux (principal)
Windows
macOS

Manejadores de Bases de Datos

Cloud SQL
Amazon RDS
Azure SQL
BigQuery
Bases de datos relacionales y analíticas
Almacenamiento de objetos:
Amazon S3
Google Cloud Storage
Azure Blob Storage

Frameworks de Desarrollo

Backend

Express
Fastify (Node.js)

IA / ML

scikit-learn
TensorFlow / Keras
PyTorch

NLP

spaCy
NLTK
Hugging Face Transformers (deseable)

IDE

Visual Studio Code
IDEs compatibles con Python y Node.js

Herramientas

Docker
Kubernetes (GKE / EKS / AKS)
Helm
Terraform
MLflow / DVC
Postman (pruebas de APIs)
Prometheus / Grafana
OpenTelemetry

Plataformas Cloud

Google Cloud Platform (principal)
Amazon Web Services (deseable)
Microsoft Azure (deseable)

Asistentes de IA

No especificados explícitamente
(Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

Metodología Ágil
Scrum

Herramientas para Seguimiento y Control de Proyectos

Gestión de backlog (herramientas ágiles no especificadas)
Métricas ágiles:
Velocity
Lead Time
Tableros de observabilidad
Definición y seguimiento de SLO / SLI

Esquema de Trabajo

Asignación a proyectos
Desarrollo y operación de productos digitales
(No esquema de fábrica de software)

Tipo de Asignación

Proyectos
Operación
Soporte productivo
Mejora continua

Tipo de Proyecto

Ágil

Industria

Banca / Servicios Financieros

Tecnología

Cloud Computing
Inteligencia Artificial / Data

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Technical Support Engineer

Ebury · Mexico City

Apply now

Technology Mexico City Posted Apr 23, 2026

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Technical Support Engineer

Mexico City Office - Hybrid: 4 days in the office, 1 day working from home

We are seeking a talented Technical Support Engineer to become an integral part of our support engineering team. In this role, you will collaborate with a group of specialists, providing comprehensive support across all areas of our business.

Why Ebury?

High-Performance, High-Growth Environment: Be part of a dynamic and rapidly growing company that values impact and rewards results.
Focus on Excellence: We are committed to becoming a world-class organization and are looking for individuals who share our passion for delivering exceptional work.
Personal Responsibility and Freedom: We empower our employees to take ownership of their work and make a real difference.
Collaborative and Inclusive Culture: We value diversity, promote inclusion, and foster a positive work environment where everyone feels respected and supported.
Continuous Growth and Development: Benefit from our career map, regular reviews, and training opportunities to advance your career and reach your full potential.

What you will do:

Troubleshoot applications, services, and infrastructure issues reported by end-users of the systems developed by our engineering teams.
Verify and document issues and bugs for accurate tracking and escalation.
Manage incidents, including communication with stakeholders and coordination with development teams.
Collaborate with Software Engineering teams to establish support workflows and monitoring plans for new products and projects.
Partner with trusted vendors to resolve service events.
Work with software development engineers to enhance processes and conduct code reviews.
Work on a collaborative rotation (shifts) to cover support on different time zones.
Perform (out of hours) on-call on a rotating basis to address high-severity incidents and critical issues.

What we expect from you:

Experience providing Level 2 (L2) support in a tech-driven business environment.
Proficient problem-solving skills and strong technical troubleshooting abilities.
Software development experience, particularly with Python.
A strong desire to identify and resolve root causes, systematically preventing issues from recurring by collaborating with code owners.
Excellent written and interpersonal communication skills, along with a willingness to uphold Ebury's values.
English proficiency is required.
Nice to have:
Familiarity with AWS and/or Google Cloud, and Linux administration is a plus.
Knowledge of Spanish or Portuguese is a bonus.
Additional valuable skills and knowledge include Salesforce Administration, Agile methodologies, Continuous Integration, Frontend Development (HTML, CSS, and JavaScript), PostgreSQL, Terraform, and Observability.

Not feeling like you meet all the requirements? That’s OK! No one fits a job description perfectly, and there are no perfect candidates.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Rafaela Procópio

At Ebury Bank we value diversity in all its forms and are committed to creating an inclusive environment. All of our vacancies are open and eligible for people with disabilities.

#LI-RP1
#LI-HYBRID

About us

Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Ready to apply?

Apply to Ebury

Ebury

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Technical Operations Engineer

Ebury · Mexico City

Apply now

Technology Mexico City Posted Apr 23, 2026

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Technical Operations Engineer

Mexico City Office - Hybrid: 4 days in the office, 1 day working from home

We are seeking a talented Technical Support Engineer to become an integral part of our support engineering team. In this role, you will collaborate with a group of specialists, providing comprehensive support across all areas of our business.

Why Ebury?

High-Performance, High-Growth Environment: Be part of a dynamic and rapidly growing company that values impact and rewards results.
Focus on Excellence: We are committed to becoming a world-class organization and are looking for individuals who share our passion for delivering exceptional work.
Personal Responsibility and Freedom: We empower our employees to take ownership of their work and make a real difference.
Collaborative and Inclusive Culture: We value diversity, promote inclusion, and foster a positive work environment where everyone feels respected and supported.
Continuous Growth and Development: Benefit from our career map, regular reviews, and training opportunities to advance your career and reach your full potential.

What you will do:

Troubleshoot applications, services, and infrastructure issues reported by end-users of the systems developed by our engineering teams.
Verify and document issues and bugs for accurate tracking and escalation.
Manage incidents, including communication with stakeholders and coordination with development teams.
Collaborate with Software Engineering teams to establish support workflows and monitoring plans for new products and projects.
Partner with trusted vendors to resolve service events.
Work with software development engineers to enhance processes and conduct code reviews.
Work on a collaborative rotation (shifts) to cover support on different time zones.
Perform (out of hours) on-call on a rotating basis to address high-severity incidents and critical issues.

What we expect from you:

Experience providing Level 2 (L2) support in a tech-driven business environment.
Proficient problem-solving skills and strong technical troubleshooting abilities.
Software development experience, particularly with Python.
A strong desire to identify and resolve root causes, systematically preventing issues from recurring by collaborating with code owners.
Excellent written and interpersonal communication skills, along with a willingness to uphold Ebury's values.
English proficiency is required.
Nice to have:
Familiarity with AWS and/or Google Cloud, and Linux administration is a plus.
Knowledge of Spanish or Portuguese is a bonus.
Additional valuable skills and knowledge include Salesforce Administration, Agile methodologies, Continuous Integration, Frontend Development (HTML, CSS, and JavaScript), PostgreSQL, Terraform, and Observability.

Not feeling like you meet all the requirements? That’s OK! No one fits a job description perfectly, and there are no perfect candidates.

Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Rafaela Procópio

At Ebury Bank we value diversity in all its forms and are committed to creating an inclusive environment. All of our vacancies are open and eligible for people with disabilities.

#LI-RP1
#LI-HYBRID

About us

Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.

Ready to apply?

Apply to Ebury

Ebury

View all jobs →

Backend .Net

PALO IT · Ciudad de México, Bogotá

Apply now

Mexico City Technology PALO IT Mexico PALO IT Colombia Posted Apr 23, 2026

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
We are robust and resilient (100% independent and 0 debt)
We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot
The quality consistently exceeds the output of our best traditional engineering teams
A product repository houses all product artefacts, giving AI full project context for higher-quality generation
A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Senior .NET Backend Engineer, you are a true senior profile with the autonomy and technical depth to not only execute but also design and propose scalable solutions in complex environments.

Design and develop scalable, secure, and high-performance backend systems using .NET (C#) and ASP.NET Core.
Build and maintain microservices architectures and RESTful APIs with a strong focus on scalability and resilience.
Design and implement event-driven architectures using messaging systems such as Azure Service Bus, Kafka, or RabbitMQ.
Apply advanced resilience and integration patterns such as: Outbox / Inbox, Circuit Breaker
Model and optimize data access using: Relational databases (SQL Server, PostgreSQL), NoSQL databases (Redis, MongoDB) when relevant
Implement caching strategies (Redis) to enhance performance and scalability.
Apply Clean Architecture, SOLID principles, and contribute to Domain-Driven Design (DDD) practices.
Ensure high standards in security and quality, including: OAuth2 / JWT authentication, Prevention of vulnerabilities (e.g., SQL Injection)
Contribute to DevOps practices: CI/CD pipelines (Azure DevOps), Containerization (Docker), Infrastructure as Code (Terraform, plus), Deployment and orchestration using Kubernetes
Ensure system reliability through testing strategies (unit and integration), observability, and monitoring (Application Insights, OpenTelemetry).
Participate in technical decision-making, architecture definition, and product roadmap discussions.
Conduct code reviews, refactoring, and performance optimization to maintain high-quality standards.
Collaborate with distributed teams and mentor junior developers, fostering engineering excellence.

Who You Are

You have 5–6+ years of true Senior experience in backend development with .NET (C#) and ASP.NET Core.
You have strong hands-on experience in: Microservices architectures, Event-driven systems and messaging
You have practical experience implementing patterns such as: Outbox / Inbox, Circuit Breaker
You have solid experience with: Kubernetes, Relational databases (SQL Server / PostgreSQL), Git version control
You demonstrate strong knowledge of: Backend security (OAuth2, JWT), Vulnerability prevention (e.g., SQL Injection)
You are able to propose solutions and take ownership, not just execute tasks.
You have strong analytical and problem-solving skills, with a hands-on mindset.
You are comfortable working in distributed teams and collaborating cross-functionally.

Nice to have:

Experience with NoSQL databases (Redis, MongoDB), especially for caching
Knowledge of Clean Architecture and DDD
Experience with Azure cloud environment
Familiarity with: Azure DevOps (CI/CD), Terraform (Infrastructure as Code)
Exposure to AI tools (e.g., ChatGPT, Copilot)

Soft Skills

Strong system thinking and sound technical judgment.
Ability to prioritize, estimate, and deliver effectively in fast-paced environments.
Collaborative mindset with mentoring and knowledge-sharing capabilities.
Strong focus on quality, resilience, and continuous improvement.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company
Deliver projects with a positive impact
Train 100% of our workforce on impact
Achieve B Corp certification across all offices
Continuously measure & improve employee happiness

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects
Knowledge sharing
Personalized training
Entrepreneurship & intrapreneurship

Ready to apply?

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PALO IT

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CA

Principal Cloud Architect

Caylent · MEXICO

Apply now

Cloud Architecture & Engineering Remote Posted Apr 21, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

100% remote work
Medical Insurance for you and eligible dependents
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.

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Ready to apply?

CA

Caylent

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CA

Cloud Software Architect - Not an Active Opening, Building Talent Pipeline

Caylent · MEXICO

Apply now

Cloud Native Applications Remote Posted Apr 21, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

100% remote work
Medical Insurance for you and eligible dependents
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.

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Ready to apply?

CA

Caylent

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CA

Principal AI/ML Architect

Caylent · MEXICO

Apply now

Cloud Native Applications Remote Posted Apr 21, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

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Senior Machine Learning Engineer - Not an Active Opening, Building Talent Pipeline

Caylent · MEXICO

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Cloud Native Applications Remote Posted Apr 21, 2026

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

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

The Mission

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

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

Your Assignments

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

Your Qualifications

Strong experience in building ML models for real world applications
Strong experience in at least one of these:

AWS ML Services/SageMaker
ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
MLOps tools such as MLflow, Kubeflow, Airflow
Advanced analytics using time series forecasting and/or inferential statistics

Strong experience in one or more of these data processing solutions:

Big data processing platforms like Spark, Hadoop, or streaming platforms
Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL

Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
Excellent written and verbal communication skills

Benefits

100% remote work
Medical Insurance for you and eligible dependents
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.

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

At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

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Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico

Speechify · Mexico City, Mexico

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Global Distributed Posted Apr 21, 2026

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

BS/MS/PhD in Computer Science or a related field.
5+ years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
Experience with web crawlers, large-scale data processing workflows is a plus
Ability to handle multiple tasks and adapt to changing priorities.
Strong communication skills, both written and verbal.

What we offer

A fast-growing environment where you can help shape the company and product.
An entrepreneurial-minded team that supports risk, intuition, and hustle.
A hands-off management approach so you can focus and do your best work.
An opportunity to make a big impact in a transformative industry.
Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
Opportunity to work on a life-changing product that millions of people use.
Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

Ready to apply?