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.

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

As a Senior Software Engineer at Checkr, you will work on high impact engineering projects that help build a fairer future for all. Checkr is looking for an experienced Senior Software Engineer to join the Growth group, working primarily on customer signup flows and fraud management. Our team’s focus is to ensure that customers who sign up for Checkr have a seamless and intuitive experience, while ensuring that bad actors are removed as threats to our platform.

You will work in a collection of small services built on Ruby and Javascript, utilizing relational databases, as well as event streams for asynchronous tasks. Checkr was founded by engineers for engineers; we want to create the best environment for developers to build, learn and love their work.

Responsibilities:

• Own the product development of full-stack features from design, implementation, to release
• Partner with product, design and other non-technical stakeholders in designing new features
• Collaborate with other engineers within the team and across the Growth organization in architecting and implementing new features
• Design, develop, test, deploy, maintain, and improve our products
• Deliver performant, reliable, scalable, and secure code
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team

What you bring:

• 4+ years of full-stack software development experience
• Strong React skills and knowledge of front end best practices
• Solid understanding of Computer Science fundamentals such as relational databases, data structure and algorithms, Object Relational Mapping, REST APIs, microservices, etc.
• A strong sense of ownership across all aspects of the development lifecycle
• Desire to mentor, uplevel, and collaborate with teammates
• An eagerness to learn, improve, and innovate
• Advanced English communication skills - written and verbal
• AI-First Mindset: Embrace an engineering culture where AI tooling isn't a perk—it's standard practice. Work at the cutting edge of modern development by leveraging the latest AI-assisted tools, models, and assistants alongside best-in-class hardware to amplify your impact.

   

   

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.