Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

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

About Counterpart

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

The Role

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

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

YOU WILL

Own the Problem

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

Build with AI

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

Verify and Iterate

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

Raise the Bar

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

YOU HAVE

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

HOW THIS ROLE WORKS

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

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

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

WHO YOU WILL WORK WITH

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

COUNTERPART'S VALUES

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

WE OFFER

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

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

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

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

Software Engineer

Argentina; Uruguay

Software Engineer - Robotics & Autonomous Systems

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

You Will:

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

Ideally, You Have:

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

Nice to Haves:

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

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

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

Key Responsibilities

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

Required Skills & Experience

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

Education

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

Soft Skills

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

About the role

We're looking for a hands-on engineering leader to manage and grow a high-performing team within our Cyberbank Core team. Cyberbank Core is a next generation lean banking core that is part of the Galileo suite of banking APIs and was built from the ground up at Galileo/SoFi. This technology powers SoFi Bank and we are hard at work expanding its footprint and capabilities to better support a post-fiat world.

You’ll drive delivery, partner with the Product team to define and build features, own operational excellence for your services, and own definition and execution of the team’s technical roadmap.  You’ll play a key role in scaling resilient systems and supporting strategic product development at Galileo and SoFi.

What you’ll do: 

• Build and manage a high-performing software engineering team
• Lead the development & delivery of our software products, building quality in
• Partner with Product Manager on both long term product vision and short term roadmaps
• Dive deep on all aspects of overall design of the system
• Encourage team processes that optimize for product flow
• Grow your people

What you’ll need:

• Bachelor’s Degree in Computer Science or related field
• 7+ years programming experience, ideally on a modern stack
• 5+ years of software engineering management experience (can overlap a bit with programming experience)
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing, build & deploy pipelines, and testing in production.
• Ability to coordinate and deliver work with dependencies across multiple teams
• Demonstrated expertise in building and operating resilient software components within a large scale distributed system
• Experience building/operating services on AWS/cloud environment 
• Experience building bank core or ledger technology is a plus, but is not required

The Mission

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

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

Your Assignment

Leading Your Team

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

Strategic Advisory

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

Hands-On Delivery

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

Growing the Practice

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

Your Qualifications (non-negotiables)

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

Strong differentiators

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

Technical Stack

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

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

Benefits

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

We are seeking a Semi-senior Advanced / Senior Product Manager to join Rootstrap’s Product team in Argentina, Uruguay, and Colombia. Here at Rootstrap, we deliver exceptional work and have a great time doing it. The product team is growing, and we are looking for experienced product managers to join the challenge and work hand in hand with our clients in the USA.

As a Product Manager at Rootstrap, your integral role involves shaping and implementing innovative product visions for our clients. Operating as a collaborative consultant and team contributor, you will actively engage in various aspects of product development. In your position, you will work alongside various teams, such as designers, engineers, and other departments, to create the product strategy and roadmap, bringing the client's vision to life. Your duties encompass the full product lifecycle, from concept to launch. 

What are the main responsibilities of this role?

• Lead the delivery process for multiple initiatives in parallel while working in cross-functional teams. 
• Provide leadership in product discovery for products in the 0 to 1 and growth stages, guiding the team in identifying opportunities and solutions.
• Manage stakeholders and their expectations.
• Identify and define problems accurately, generate ideas, and prioritize them with input from key stakeholders.
• Elaborate on a roadmap to help everyone understand where the product is going and be the vision keeper.
• Write precise, efficient product specs, including transforming requirements into user stories that can be developed on the sprints.
• Participate actively in standard agile ceremonies (daily standups, backlog refinement, sprint retrospectives, sprint demos, etc.)
• Collaborate with other leaders on the team and work actively with stakeholders on the product strategy to drive outcome-oriented results.

Which skills and experience do we envision for this role?

• Candidates must have a proven track record of successfully launching digital products to the market. (Required)
• Minimum of 3+ years of experience as a product manager, preferably with a software development or technical background, helps understand the product lifecycle, development processes, and the challenges of bringing new products to the market (Required).
• A Bachelor’s degree in a relevant field, such as computer science, engineering, or a technical field, is beneficial.
• Experience working closely with product teams, designers, and engineers to deliver the highest quality user experience.
• You can demonstrate your Product Management skills: Prioritization, discovery, analytics, negotiation, facilitation, ownership, and research.
• Advanced experience with the Agile development process and a clear understanding of the digital product development lifecycle. 
• Proven relevant technical skills, data analysis, technical writing, implementation of product analytics tools, A/B testing, and programming basics are a plus.
• Advanced or bilingual English for non-native speakers (Required).
• Located in Latin America, we primarily work with clients in the EST and PST time zones, accommodating their schedules as needed.

Join our team and enjoy:

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

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

How we work:

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

At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built products for clients like MasterClass, Universal, Google, as well as innovative startups and inspired pioneers. Earning regular recognition with Fastest Growing Company & Best B2B Service Provider Industry accolades, our team prides itself on making an impact that transcends our efforts. We have offices in Uruguay, Argentina, and Colombia, providing the flexibility to work remotely. Know more about life at Rootstrap visiting https://www.rootstrap.com/careers

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

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

#LI-DNI

The role

Benefits

product initiatives where leverage is highest.

This is a high-ownership role with real business responsibility, not a feature factory position.

What you’ll own

Smart Fridges (Primary)

• Own the end-to-end product strategy and execution for Smart Fridges (hardware, software, ops, and UX).
  
  
• Define and prioritize the roadmap across:
• Fridge software
• Hardware & IoT flows
• Computer vision, inventory, and ordering logic
• Operational workflows (installations, refills, failures, edge cases)
  
  
• Partner closely with engineering, design, ops, data, and clients.
• Drive outcomes across conversion, retention, reliability, and unit economics.
• Be accountable for shipping, learning, and iterating fast in a real-world, non-perfect environment.

Partnerships & Integrations

• Lead product ownership of strategic integrations (external partners, platforms, APIs).
• Translate partnership agreements into clear product requirements and technical scopes.
• Work with internal teams and external partners to ensure:
• Clean integrations
• Scalable flows
• Clear ownership and SLAs
• Identify opportunities to turn integrations into growth or retention levers, not just technical connections.

Cross-cutting / General Product Support

• Help bring structure to ambiguous or fast-moving initiatives.
• Act as a force multiplier for the product org: unblock, simplify, and push things forward.

What success looks like

• Smart Fridges has a clear backlog, fewer fires, and measurable improvements in key metrics.
• Integrations ship faster, with less ambiguity and fewer surprises.
• External partners feel aligned and confident working with us.
• Teams have clarity on what we’re building, why, and what success means.
• Leadership trusts you with increasingly complex and strategic problem spaces.

What we’re looking for

Must-haves

• 4+ years of experience as a Product Manager.
• Proven experience owning complex systems (multi-team, multi-stakeholder).
• Strong ability to operate in ambiguity and bring structure.
• Excellent written and verbal communication.
• Comfortable working across engineering, design, ops, and external partners.
• Business-minded: you care about outcomes, not just shipping features.

Strong plus

• Passion for the healthcare and food-is-medicine industry.
• Experience with hardware, IoT, marketplaces, or logistics-heavy products.
• Experience with integrations, APIs, or platform products.
• Experience working with partnerships or external vendors.
• Startup or high-growth environment experience.

Why is this role interesting?

• You’ll work on a rare mix of hardware + software + ops + partnerships.
• You’ll have direct exposure to leadership and real influence on product direction.
• You’ll help scale products that exist in the physical world, with real constraints and real impact.
• This role can grow significantly as the product surface area expands.

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

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

🎄 16 fully paid Argentinean holidays

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

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

🐣 Paid Family leave

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

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

About the role

We’re looking for a Product Manager to take ownership of some of our most complex and high-impact initiatives: Smart Fridges, Partnerships, and Integrations.
This role sits at the intersection of hardware, software, operations, and external partners, and will work closely with leadership to unblock, structure, and scale these areas.

You’ll start by leading Smart Fridges end-to-end, while progressively taking ownership of integrations and strategic partnerships, and supporting broader product initiatives where leverage is highest.

This is a high-ownership role with real business responsibility, not a feature factory position.

What you’ll own

Smart Fridges (Primary)

• Own the end-to-end product strategy and execution for Smart Fridges (hardware, software, ops, and UX).
  
  
• Define and prioritize the roadmap across:
• Fridge software
• Hardware & IoT flows
• Computer vision, inventory, and ordering logic
• Operational workflows (installations, refills, failures, edge cases)
  
  
• Partner closely with engineering, design, ops, data, and clients.
• Drive outcomes across conversion, retention, reliability, and unit economics.
• Be accountable for shipping, learning, and iterating fast in a real-world, non-perfect environment.

Partnerships & Integrations

• Lead product ownership of strategic integrations (external partners, platforms, APIs).
• Translate partnership agreements into clear product requirements and technical scopes.
• Work with internal teams and external partners to ensure:
• Clean integrations
• Scalable flows
• Clear ownership and SLAs
• Identify opportunities to turn integrations into growth or retention levers, not just technical connections.

Cross-cutting / General Product Support

• Help bring structure to ambiguous or fast-moving initiatives.
• Act as a force multiplier for the product org: unblock, simplify, and push things forward.

What success looks like

• Smart Fridges has a clear backlog, fewer fires, and measurable improvements in key metrics.
• Integrations ship faster, with less ambiguity and fewer surprises.
• External partners feel aligned and confident working with us.
• Teams have clarity on what we’re building, why, and what success means.
• Leadership trusts you with increasingly complex and strategic problem spaces.

What we’re looking for

Must-haves

• 4+ years of experience as a Product Manager.
• Proven experience owning complex systems (multi-team, multi-stakeholder).
• Strong ability to operate in ambiguity and bring structure.
• Excellent written and verbal communication.
• Comfortable working across engineering, design, ops, and external partners.
• Business-minded: you care about outcomes, not just shipping features.

Strong plus

• Passion for the healthcare and food-is-medicine industry.
• Experience with hardware, IoT, marketplaces, or logistics-heavy products.
• Experience with integrations, APIs, or platform products.
• Experience working with partnerships or external vendors.
• Startup or high-growth environment experience.

Why is this role interesting?

• You’ll work on a rare mix of hardware + software + ops + partnerships.
• You’ll have direct exposure to leadership and real influence on product direction.
• You’ll help scale products that exist in the physical world, with real constraints and real impact.
• This role can grow significantly as the product surface area expands.

Benefits

💸 Get paid in USD

🗺 Work remotely: design the life that you want

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

🎄 16 fully paid Argentinean holidays

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

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

🐣 Paid Family leave

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

🧘🏽‍♀️ Flexible benefits, your way: a prepaid card you can use on wellness, learning, food, and more.

🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

🧑‍🏫 Personalized English coach

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

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

In this role you will

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

What we're looking for

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

Nice to have

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

LI-KG1
LI-DUBLIN
LI-BRAZIL

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

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

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

Key Responsibilities

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

Required Skills & Experience

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

Education (Required)

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

Soft Skills

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

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. 

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

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

GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best in class technology. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.

Join us! The GoFundMe team is looking for our next Android Engineer to join the Mobile team, which supports the GoFundMe platform cross-functionally.

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

The Job…

• Collaborate with product managers to define clear requirements, deliverables, and milestones.
• Drive architectural, product and technology decisions
• Implement new features from scratch
• Translate designs and wireframes into high-quality code
• Analyze and optimize UI and back-end application code for efficiency and performance

You… 

• 5+ years of android development experience + BA/BS degree in Computer Science or equivalent
• High proficiency in Kotlin and deep understanding of the Android platform
• Knowledge of object-oriented software development
• Understands and utilizes Android UI design principles, patterns, and best practices
• Experience with Multi-Threading and memory management specific to mobile devices
• Experience with caching mechanisms
• Experience writing unit tests and testable code
• Familiarity with API and backend tech stack.
• Excellent problem solving, critical thinking and communication skills

Why you’ll love it here

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

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

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

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

Global Data Privacy Notice for Job Candidates and Applicants:

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

Learn more about GoFundMe:

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

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

For recent company news and announcements, visit our Newsroom.

About the Role

This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results. You will bridge the gap between technical innovation and real-world business challenges by applying advanced statistical and machine learning techniques to build predictive models and derive actionable insights.

What we are looking for

• Experience & Education: Bachelor's degree in Computer Science or Engineering with 8–12 years of relevant experience leading complex technical projects with multi-team impact.
• Advanced ML & Statistics: Expert capability in designing end-to-end ML systems for complex problems (including imbalanced data and concept drift), applying advanced statistical methods (mixed models, survival analysis, Bayesian approaches), and demonstrating a deep understanding of causal inference techniques, experimentation design (A/B testing, MABs), and deep learning architectures for unstructured data (e.g., NLP, Computer Vision).
• Core Technology Stack: Expertise in Python (including libraries like Pandas and NumPy) or R, proficiency with cloud platforms and their data/ML services (e.g., AWS Sagemaker, GCP Vertex AI, Azure ML Services), experience with big data technologies (e.g., Spark, Hadoop), and familiarity with MLOps tools (e.g., Kubeflow, MLflow, Docker).
• Business Immersion: Proven ability to immerse in operations to acquire deep domain expertise, thinking like an insider to translate seamlessly between business needs and engineering solutions.
• Full-Stack Agility: Ability to build complete applications rapidly across any technology stack, selecting the right tools to balance technical debt with delivery speed.
• Data Strategy & Integration: Experience architecting scalable data strategies across diverse teams and complex enterprise landscapes. This includes defining data governance policies, mastering data quality frameworks, building robust integration solutions for undocumented schemas and disparate systems, and driving the adoption of modern data warehousing and lakehouse architectures.
• AI Evaluation & Governance: Experience leading AI governance initiatives, creating evaluation standards, and training teams on rigorous AI verification and risk management.
• Rapid Prototyping: Proficiency in leading rapid delivery initiatives using a prototype-first approach to validate solutions quickly before scaling.
• Problem Discovery: A track record of seeking out undefined problems, embedding with users to discover latent needs, and turning ambiguity into clear problem statements.
  
  

Who you are

• Polymath Oriented: You bridge gaps between engineering, design, business, and science, rapidly immersing yourself in new domains to speak the language of the business.
• Curious Explorer: You seek out ambiguity rather than avoiding it, driving team curiosity through challenging questions and creating an environment that encourages experimentation.
• Outcome Owner: You drive an accountability culture focused on business impact rather than just deliverables, owning relationships and making trade-offs between custom solutions and generalizable work.
• Systems Thinker: You map complex system interactions across technical and business domains, anticipating cascading effects and understanding how technology changes impact operations.
• Precise Communicator: You translate seamlessly between technical and business language, ensuring requirements are clear enough to enable AI generation and facilitate productive discussions with stakeholders.
• Problem Discoverer: You embed with users to discover latent needs, turning ambiguity into clear problem statements rather than waiting for defined tasks.

What Appnovation Offers 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

As part of Fireblocks, Dynamic represents the next evolution of non-custodial wallet infrastructure. Dynamic is Fireblocks’ embedded wallet platform, purpose-built for developers who want to bring crypto and stablecoin experiences into modern applications without complexity. Together, Fireblocks and Dynamic are building the most complete, secure, and developer-friendly wallet infrastructure in the industry by combining institutional-grade security with consumer-grade experiences.

About the Team

Dynamic was founded in 2021 with a simple vision: every app and website will have a wallet component. That vision is rapidly becoming reality. Wallets are no longer limited to crypto-native products, they are becoming foundational infrastructure for payroll, remittances, and global payments. Dynamic powers wallet-based experiences for leading crypto and fintech teams including Kraken, zerohash, Magic Eden, and more.

Dynamic builds and maintains developer-first SDKs that enable teams to seamlessly integrate embedded wallet functionality directly into their applications. These embedded wallets allow end users to create, manage, and use wallets without leaving the product experience, making wallets feel like a native part of modern fintech and crypto apps.

As part of Fireblocks, the Dynamic team continues to build and scale the infrastructure and developer tooling that has onboarded 50M+ wallets across crypto and fintech applications. In this context, Dynamic powers the application-layer wallet experience and developer tooling, complementing Fireblocks’ core custody, security, and transaction infrastructure. The team operates with a strong product mindset and deep focus on security, reliability, scalability, and exceptional developer experience. Engineers at Dynamic build secure-by-default systems and approach their work with a strong customer focus, balancing technical excellence with real-world user needs. You will be joining a passionate group that moves fast, works with the biggest names in payments and fintech, and is defining how the next generation of financial applications are built.

What You’ll Do

• Design and implement high-quality native mobile SDKs that enable developers to integrate embedded wallet functionality into their applications, with a strong focus on API ergonomics, performance, and reliability.
• Own SDK features end-to-end: from API design and architecture, through implementation and testing, to release, versioning, and developer documentation.
• Build and maintain secure, reliable SDK components for wallet operations, including cryptographic operations, blockchain interactions, and security-sensitive flows.
• Define and evolve the SDK architecture to support long-term maintainability, backward compatibility, and adoption across diverse customer applications.
• Build sample applications and demos that showcase SDK capabilities and serve as integration references for customers.
• Create clear, comprehensive SDK documentation and integration guides.
• Work with developer relations and support teams to address customer integration challenges.
• Raise the bar for quality and operational excellence by establishing best practices around testing, observability, releases, and code health.
• Contribute to a culture of ownership and execution, leading by example through hands-on work, code reviews, documentation, and knowledge sharing.

What You’ll Bring

• 5+ years of software engineering experience, with deep focus on mobile development and shipping production-grade SDKs.
• Demonstrated track record of building and shipping high-quality code, with work you can point to and discuss in depth.
• Strong hands-on experience with iOS (Swift) and/or Android (Kotlin); experience with React Native or other cross-platform frameworks, and familiarity with all.
• Experience building mobile SDKs or shared libraries, including API design, versioning, packaging, and long-term maintenance across platforms.
• Experience with blockchain-enabled mobile systems, including wallet flows, signing, and on-chain interactions.
• Experience working on security-sensitive mobile software, such as key management, secure storage, cryptography, or financial products.
• Strong grasp of mobile engineering best practices, including CI/CD, automated testing, release management, and observability.
• A get-things-done mindset with the ability to independently own problems and deliver end-to-end solutions.
• Comfortable making long-term architectural decisions while remaining pragmatic and adaptable.
• B.Sc. in Computer Science / Engineering or equivalent practical experience.
• Remote role in a distributed team; preference for candidates in the Americas time zone.

Big Advantages

• Rust and/or WebAssembly (Wasm) experience, particularly building cross-platform SDKs consumed by mobile apps.
• Experience designing shared core logic used across iOS and Android.
• Experience with advanced mobile security primitives (secure hardware, MPC, low-level crypto).
• Prior experience owning or founding a mobile platform or SDK from scratch.

• Understand how all Telephony services work and how they are integrated to the platform.
• Operate, maintain, expand and support SIP proxies based on Kamailio or OpenSIPS applications.
• Handle level 3 troubleshooting escalations and triaging.
• Analyze telephony traffic patterns and identify issues and anomalies.
• React to critical alerts in order to rapidly return to a full-service state.
• Troubleshoot and resolve voice and network protocol communication issues.
• Interface with partner organizations for interconnections and expansions.
• Design, build, test, deploy and maintain monitoring, alerting, QA and logging tools for Telephony applications.
• Coordinate system maintenance and deployment events.

• A degree in Computer Science, Information Technology, Telecommunications or similar.
• Strong understanding of IP telephony (VoIP), TCP/IP Networks and related protocols (SIP, RTP, RTCP, ISUP, TLS, STUN, TURN, WebRTC).
• Experience with Open Source VoIP applications such as Kamailio, OpenSIPS, FreeSWITCH, RTPEngine, Asterisk and open source tools such as Wireshark, sngrep and Homer.
• Experience with Linux, Open Source tools and shell scripting.
• Experience with containers and automation/orchestration tools such as Docker, Ansible, Jenkins, Kubernetes.
• Familiarity with programming in Python, Elixir or Go are a plus.

#LI-JB1 #LI-Remote

• Understand how all Telephony services work and how they are integrated to the platform.
• Operate, maintain, expand and support SIP proxies based on Kamailio or OpenSIPS applications.
• Handle level 3 troubleshooting escalations and triaging.
• Analyze telephony traffic patterns and identify issues and anomalies.
• React to critical alerts in order to rapidly return to a full-service state.
• Troubleshoot and resolve voice and network protocol communication issues.
• Interface with partner organizations for interconnections and expansions.
• Design, build, test, deploy and maintain monitoring, alerting, QA and logging tools for Telephony applications.
• Coordinate system maintenance and deployment events.

• A degree in Computer Science, Information Technology, Telecommunications or similar.
• Strong understanding of IP telephony (VoIP), TCP/IP Networks and related protocols (SIP, RTP, RTCP, ISUP, TLS, STUN, TURN, WebRTC).
• Experience with Open Source VoIP applications such as Kamailio, OpenSIPS, FreeSWITCH, RTPEngine, Asterisk and open source tools such as Wireshark, sngrep and Homer.
• Experience with Linux, Open Source tools and shell scripting.
• Experience with containers and automation/orchestration tools such as Docker, Ansible, Jenkins, Kubernetes.
• Familiarity with programming in Python, Elixir or Go are a plus.

#LI-JB1 #LI-Remote

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

Responsibilities

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

Essential Qualifications

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

Preferred:

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

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

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

Responsibilities

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

Essential Qualifications

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

Preferred:

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

#LI-KG1

#LI-Brazil
#LI-ARGENTINA

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

The Role:

• We are looking for a Tech Enablement Engineer to join our B2B Operations team, where you will play a key role in building and optimizing the internal technology that powers CookUnity’s B2B initiatives.
• In this role, you’ll work closely with the Tech Enablement Lead (to whom you will report) and collaborate with stakeholders across operations, product, and engineering to deliver innovative solutions.
• You’ll be developing end-to-end automation workflows, creating internal web/mobile applications, maintaining custom hardware setups (like our smart fridge prototypes), and managing integrations with third-party software.
• This is a great opportunity for a mid-level engineer who enjoys working on a wide range of technologies – from scripting and full-stack development to IoT devices and AI tools – all with the goal of improving efficiency and enabling growth.
• If you are enthusiastic about solving complex operational problems with creative tech solutions, and you thrive in a cross-functional environment, then this role will be a perfect fit.

Responsibilities:

• Build & Optimize Automations: Ideate, develop, and maintain end-to-end automation workflows to streamline internal processes. This includes using low-code tools (like n8n) and custom scripts (SQL, Google Cloud Functions, Apps Script, Node.js/Python) to connect APIs, databases, and services, reducing manual work for our teams.
• Full-Stack Internal Tools: Create and enhance internal applications for web and mobile. You’ll work with modern front-end frameworks (e.g. React/Next.js) and back-end code (Node.js, Python, SQL) to build tools that improve our Ops and B2B services. You will also set up CI/CD pipelines (GitHub Actions or similar) to deploy these tools efficiently.
• Hardware (IoT): Contribute to the development and upkeep of custom hardware solutions, such as our Raspberry Pi–powered smart fridges. This involves working with electronic locks, sensors, cameras, and integrating computer vision capabilities. You’ll help ensure these devices are remotely accessible, regularly updated, and functioning reliably in the field.
• Third-Party Integrations: Manage and improve integrations with external software used by the team (such as Zendesk, Aircall, Jira, etc.). This could mean configuring integrations, writing custom API wrappers or webhooks, and ensuring data flows smoothly between CookUnity’s systems and these platforms.
• AI Tools & Agents: Experiment with and build AI-driven tools to support the team’s objectives. For example, you might prototype AI agents or chatbots to assist with support tasks or data analysis, leveraging frameworks or APIs for natural language processing.
• Marketing & CRM Support: Work closely with our Marketing and Data teams to automate their workflows. This can include connecting marketing automation platforms, writing scripts to handle data ingestion or transformation for Salesforce, and implementing validation rules or triggers in our CRM to maintain data integrity. You’ll also help create custom Salesforce dashboard components or integrations as needed.
• Documentation & Handover: Document all your solutions and processes clearly. Because Tech Enablement often pioneers new tools and workflows, you will ensure that everything built is well-documented and can be easily handed over or transitioned to Product/Engineering teams for long-term ownership. You’ll create how-to guides, architecture diagrams, and operational runbooks to facilitate smooth knowledge transfer.

Minimum Requirements:

• 3+ years of experience in software development, with hands-on exposure to a broad range of technologies.
• Proficiency in coding with JavaScript/TypeScript and Python. You have built scripts or services in these languages and are comfortable with both front-end and back-end development.
• Experience developing web applications using modern frameworks (for example, React/Next.js on the front end and Node.js or Python on the back end).
• Solid understanding of RESTful APIs and webhooks, and experience integrating with third-party APIs or SDKs.
• Familiarity with SQL databases and ability to write and optimize SQL queries.
• Experience with automation workflows or low-code platforms (such as n8n, Zapier, or similar), or demonstrated ability to design custom automation scripts to connect various systems.
• Basic knowledge of cloud services and DevOps: comfortable deploying apps or functions on cloud platforms (e.g. Google Cloud Functions, AWS Lambda) and using CI/CD pipelines for version control and deployment.
• Exposure to working with hardware or IoT projects (even if hobbyist): you can configure devices, install OS/software on a Raspberry Pi (Linux), and troubleshoot connectivity or sensor issues.
• Strong problem-solving and troubleshooting skills across different domains (software, hardware, integrations).
• Fluent English communication skills (verbal and written). Ability to effectively communicate technical ideas to non-technical team members and collaborate across teams in English.
• Fluency with AI engineering tools.

Preferred Requirements:

• Experience with workflow automation tools like n8n (self-hosted or cloud), Zapier, or HubSpot workflows, especially in an operations context.
• Hands-on experience with Raspberry Pi or Arduino projects, and familiarity with protocols (GPIO, I2C, etc.) or using camera modules for computer vision.
• Knowledge of Salesforce (or other CRM) data structure and APIs, including building data pipelines or using ETL tools to feed data into Salesforce, and understanding of Salesforce Process Builder/Flow or validation rules.
• Familiarity with Google Cloud Platform services (Firestore, Cloud Functions, etc.) and/or other cloud providers (AWS, Azure) for building and hosting applications.
• Understanding of AI/ML concepts or prior experience integrating AI APIs (e.g., OpenAI GPT) into applications or bots.
• Experience with customer support and marketing tools (e.g., Zendesk, Aircall, email marketing platforms) and implementing tech solutions around them.
• Comfortable working in a fast-paced startup environment where you’ll have to wear multiple hats and coordinate with diverse teams.
• A self-starter attitude with curiosity and willingness to continuously learn new technologies and tools.

Learn More About CookUnity

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

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

Benefits

💸 Get paid in USD!

🗺 Work remotely: design the life that you want.

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

🎄16 fully paid Argentinean holidays.

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

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

🐣 Paid family leave.

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

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

🧑‍🏫 Personalized English coach.

DevOps Engineer

As a DevOps Engineer at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with the development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure.

In This Role, You Will:

Collaboration and Communication:

• Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects.
• Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines.
• Create and maintain comprehensive documentation for systems, processes, and configurations.

Automation and Tooling:

• Design, implement, and manage automation processes for software build, deployment, and configuration.
• Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes.

Infrastructure Management:

• Manage and maintain cloud-based infrastructure (AWS, Azure, GCP, and other cloud providers) to ensure scalability, reliability, and security.
• Implement infrastructure as code (IaC) using tools such as Terraform, Pulumi, and others.
• Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases.

Monitoring and Performance:

• Develop and implement monitoring solutions to ensure the health and performance of systems and applications.
• Proactively identify and address issues related to system performance, reliability, and scalability.

Security and Compliance:

• Implement and maintain security best practices in infrastructure and application deployment. This would include vulnerability assessments, code scanning and access controls.
• Ensure compliance with regulatory requirements and company security policies. 

Troubleshooting and Support:

• Provide support for development and operations teams, addressing issues related to build failures, deployment problems, and system outages.
• Participate in on-call rotation to respond to and resolve critical incidents. 

Skills and Experience We Value:

• Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• Proven experience as a DevOps Engineer or similar role.
• Strong proficiency in scripting languages such as Python, Bash, or Ruby.
• Experience with configuration management tools such as Ansible, Puppet, or Chef.
• In-depth knowledge of containerization technologies, such as Docker and Kubernetes.
• Hands-on experience with version control systems, preferably Git.
• Solid understanding of continuous integration and continuous deployment (CI/CD) concepts and tools.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Certified (Current or Expired) in at least one of the following: AWS Solutions Architect Associate, AWS Developer Associate, AWS SysOps Administrator Associate, AWS Solutions Architect Professional, AWS DevOps Engineer Professional, Azure Administrator Associate, Azure Security Engineer Associate, Azure Network Engineer Associate, Azure Developer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert, GCP Cloud Engineer Associate, GCP Cloud Architect Professional, GCP Cloud Developer Professional, GCP Cloud DevOps Engineer Professional, GCP Cloud Security Engineer Professional, GCP Cloud Network Engineer Professional, Certified Kubernetes Application Developer, Certified Kubernetes Administrator, Certified Kubernetes Security Specialist

About Particle41:
Our core values of Visibility, Velocity, and Vision drive everything we do to achieve the ultimate outcomes for our clients. We prioritize dependability as our highest guiding principle in delivering exceptional results.

• Visibility means we communicate openly and comprehensively, operating as an extension of our clients' engineering teams.
• Velocity is about building fast and smart, without cutting corners, ensuring timely and quality delivery without expecting things to break.
• Vision involves building upon our clients' goals, carefully executing and dynamically improving their products and services throughout the development cycle.

We seek team members who embody these values and are committed to contributing to our mission.

Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com