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Staff Product Engineer
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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
- 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.
- Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
- Paid Vacation and Time Off
- 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.
- 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.
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Job Title: Lead Data Engineer
Key Skills: Snowflake, Azure Databricks, DBT, Terraform, SQL, ETL/ELT, Azure Cloud, CI/CD, Data Migration, Data Architecture
Experience: +8 YOE.
Location Peru
Mode: Remote
We at Coforge are hiring Position (#20978) with the following skill set.
Key Responsibilities
- Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
- Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.
- Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.
- Design and implement Infrastructure-as-Code solutions using Terraform and manage CI/CD workflows.
- Collaborate with cross-functional stakeholders to align data initiatives with business and technical goals.
Required Skills & Qualifications
- 8+ years of experience in Data Engineering, including leadership or technical lead experience.
- Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.
- Deep experience with Terraform and cloud infrastructure automation.
- Proven experience leading large-scale cloud data migration projects, preferably AWS to Azure.
- Advanced proficiency in SQL, data modeling, and ETL/ELT frameworks.
- Strong understanding of scalable data architecture and performance optimization.
- Experience with CI/CD pipelines and Git-based version control.
- Mandatory experience within the insurance industry and knowledge of insurance data domains.
- Excellent communication, stakeholder management, and leadership skills.
- Ability to work effectively in fast-paced and collaborative environments.
Preferred Skills:
- Experience with data governance and observability frameworks.
- Knowledge of security and compliance standards related to insurance or financial data.
- Familiarity with Kafka, Event Hubs, or real-time data processing solutions.
- Experience designing lakehouse architectures and cost-optimization strategies.
- Exposure to multi-cloud environments and advanced automation practices.
Posted On: 8-05-26
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools
Experience: +5 YOE.
Location: Peru
Mode: Remote
We at Coforge are hiring Position (#21027) with the following skill set.
Key Responsibilities
- Analyze large and complex datasets to generate actionable business insights.
- Develop and optimize advanced SQL queries, joins, and data transformations.
- Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
- Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
- Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
Required Skills & Qualifications
- Advanced proficiency in SQL, including complex queries, joins, and data transformations.
- Hands-on experience with Snowflake or similar cloud data warehouse platforms.
- Strong experience with pivot tables and data analysis using Excel or Google Sheets.
- Experience troubleshooting and resolving data quality and integrity issues.
- Knowledge of AI or machine learning tools for large-scale data analysis.
- Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and presentation skills.
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).
Preferred Skills:
- Experience working in Agile environments.
- Familiarity with Python or R for data analysis.
- Knowledge of ETL/ELT processes and data pipelines.
- Experience working with business intelligence and reporting frameworks.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
Posted On: 8-May-26
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Apply to EncoraLead Machine Learning Engineer
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Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
Job responsibilities
- You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
- You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
- You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
- You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
- You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
- You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
- You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
- You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
- You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization
Job qualifications
Technical Skills
- You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
- You can design and execute cross-functional requirements based on business priorities
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
- You have experience with distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
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Apply to Referrals OnlySenior Machine Learning Engineer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.
Job qualifications
Technical Skills
- An advanced English level is required.
- You must have a strong experience with LLM and AI.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
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Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Site Reliability Engineer
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What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.
Our SRE Team:
We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.
What You Bring to the Team:
- Design and implement reliable and scalable AWS architecture to meet the needs of the organization.
- Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
- Support the CICD process with ArgoCD and GitOps.
- Automate the platform deployments with Terraform infrastructure-as-code.
- Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
- Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
- Optimize system performance and troubleshoot issues as they arise.
- Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets.
- Collaborate with security teams to implement and maintain security best practices.
- Infrastructure support rotation providing guidance to other engineering teams.
What Sets You Up for Success:
- 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
- 5+ years of experience with Kubernetes (EKS) and Helm charts.
- Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
- Experience with infrastructure-as-code methodologies with Terraform.
- Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
- Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
- Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks.
- Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
- Good networking skills with VPC, Security Groups and Network ACLs.
- Ability to work remotely and manage your own time in a global team.
- Good written and verbal communication in English.
- Bachelor’s degree in Computer Science or equivalent experience.
Bonus Skills to Stand Out:
- Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
- Experience working in a PCI-compliant environment.
- Experience working with Kong API Gateway.
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
Ready to apply?
Apply to Third-Party Job PostsImportant Information
Location: Peru
Work Mode: Hybrid
Job Summary
As a Lead Data Engineer (20627), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Lead and mentor a team of data engineers, providing technical guidance, code reviews, and enforcing best practices to ensure high-quality deliverables
- Own and drive the end-to-end data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, and optimization
- Design and oversee scalable, secure, and reliable data pipelines and cloud infrastructure using Azure and infrastructure-as-code practices
- Collaborate with cross-functional stakeholders to align data initiatives with business goals and ensure efficient data integration and transformation
Qualifications and Skills
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
- 8+ years of experience in Data Engineering, including 2–3 years in a leadership or technical lead role
- Proven experience leading data engineering teams and delivering large-scale data platform initiatives
- Strong hands-on experience with Snowflake, Azure Databricks, and DBT
- Deep expertise in cloud infrastructure and infrastructure-as-code tools, particularly Terraform
- Extensive experience with cloud data migration projects, preferably from AWS to Azure
- Strong experience with CI/CD pipelines and Git-based version control systems
- Advanced proficiency in SQL, data modeling, and ETL or ELT design patterns
- Strong understanding of data architecture, scalability, and performance optimization
- Excellent communication, stakeholder management, and leadership skills, with experience working in insurance or financial data domains
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraImportant Information
Location: Peru
Work Mode: Hybrid
Job Summary
As a Senior Backend Java Developer (19519), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design, develop, and maintain scalable backend services and RESTful APIs using Java and cloud-native principles
- Build and manage containerized applications using Docker and deploy them on Kubernetes clusters across cloud and on-prem environments
- Implement CI/CD pipelines and ensure reliable, automated build, testing, and deployment processes
- Monitor system performance, troubleshoot issues, and optimize applications for scalability, resilience, and security
Qualifications and Skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience in backend development using Java and modern frameworks
- Strong experience designing and developing RESTful APIs and microservices architectures
- Hands-on experience with Docker and Kubernetes for containerization and orchestration
- Experience working with cloud platforms such as AWS or Azure in SaaS or cloud-native environments
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar
- Strong knowledge of relational and NoSQL databases and data modeling concepts
- Experience with monitoring tools such as Prometheus, Grafana, or ELK stack
- Understanding of infrastructure as code tools such as Terraform or Ansible
- Strong problem-solving, collaboration, and communication skills in Agile environments
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Java Developer Senior (21031) responsable de diseñar, desarrollar y liderar la implementación de soluciones backend escalables y de alto rendimiento. Tendrás un rol clave en decisiones técnicas, arquitectura y mejora continua de sistemas dentro de un entorno ágil.
Responsabilidades y Funciones
- Diseñar y desarrollar servicios backend utilizando Java y Spring Boot.
- Definir e implementar arquitecturas basadas en microservicios.
- Diseñar e integrar APIs REST seguras y eficientes.
- Optimizar consultas y gestión de bases de datos.
- Liderar decisiones técnicas y buenas prácticas de desarrollo.
- Realizar code reviews y mentoring a desarrolladores del equipo.
- Gestionar despliegues y soporte en entornos productivos.
- Identificar mejoras de performance, escalabilidad y seguridad.
Requisitos y Habilidades
- +5 años de experiencia en desarrollo backend con Java.
- Experiencia sólida con Spring Boot y ecosistema Spring.
- Experiencia en arquitecturas de microservicios.
- Dominio de APIs REST y patrones de integración.
- Experiencia con bases de datos SQL (optimización y modelado).
- Conocimiento en herramientas de versionamiento (Git).
- Experiencia con contenedores (Docker, Kubernetes es un plus).
- Experiencia en entornos cloud (AWS, Azure o GCP es un plus).
- Experiencia trabajando en metodologías ágiles.
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to EncoraImportant Information
Location: Peru
Work Mode: Hybrid
Job Summary
As a Senior DevOps Engineer (20422), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design and improve automation workflows using GitHub Actions, including secure and reliable secret rotation processes
- Manage AWS resources including secrets management and S3 assets, ensuring security and scalability
- Monitor and analyze system logs using Kibana, identifying issues and collaborating with development teams for resolution
- Develop automation scripts using Python and Bash, and review infrastructure code written in HCL and JSON
Qualifications and Skills
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience in DevOps or Cloud Engineering roles
- Strong experience with AWS services including S3 and secrets management solutions
- Hands-on experience with GitHub Actions for CI/CD and automation workflows
- Proficiency in scripting languages such as Python and Bash
- Experience working with infrastructure as code using Terraform (HCL) and JSON configurations
- Experience with logging and observability tools such as Kibana or ELK stack
- Familiarity with SIEM integrations such as Akamai or similar security platforms
- Experience leveraging AI tools to improve development efficiency and automation
- Strong problem-solving, collaboration, and communication skills
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraImportant Information
Location: Peru
Work Mode: Hybrid
Job Summary
As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
- Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
- Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
- Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance
Qualifications and Skills
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
- 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
- Strong proficiency in Python, SQL, and PySpark for large-scale data processing
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
- Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
- Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
- Experience working with containerized environments and Kubernetes for ML workloads
- Ability to design evaluation metrics and validate model performance effectively
- Strong communication and collaboration skills to work with cross-functional teams and stakeholders
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Trabajo remoto pero se debe tener disposición para ir a oficina a demanda del cliente en Lima, Perú
Resumen del Rol
Buscamos un DevOps Engineer (20725) con experiencia en automatización, integración y despliegue continuo, responsable de optimizar procesos de desarrollo y operación. Serás clave en la implementación de buenas prácticas DevOps, asegurando la eficiencia, escalabilidad y confiabilidad de las plataformas tecnológicas.
Responsabilidades y Funciones
- Diseñar, implementar y mantener pipelines de CI/CD.
- Automatizar procesos de despliegue y gestión de infraestructura.
- Administrar entornos cloud y asegurar su disponibilidad y rendimiento.
- Colaborar con equipos de desarrollo para mejorar procesos de integración y entrega continua.
- Monitorear sistemas, identificar incidentes y proponer mejoras.
- Implementar buenas prácticas de seguridad en el ciclo de desarrollo (DevSecOps).
- Gestionar herramientas de versionamiento, integración y despliegue.
Requisitos y Habilidades
- Experiencia de 5 años en adelante como Devops
- Experiencia comprobada con Jenkins, Docker, Kubernetes, Versioning (Code), Argo CD & Anthos y Code & GitOps
- Experiencia en plataformas cloud (AWS, Azure o GCP).
- Conocimiento en contenedores y orquestadores (Docker, Kubernetes).
- Deseable: Experiencia con SonarQube, Blackduck, Checkmarx, WebInspect, lenguajes de programación Net 8, NetFramework y .ASP
- Experiencia trabajando en entornos ágiles.
- Habilidades de comunicación, trabajo en equipo y enfoque en mejora continua.
Sobre Encora
Encora es el socio preferido para ingeniería digital y modernización de algunas de las empresas líderes del mundo y compañías digitales nativas. Con más de 9,000 expertos en más de 47 oficinas y laboratorios de innovación a nivel global, Encora ofrece soluciones en Product Engineering, Cloud Services, Quality Engineering, DevSecOps, Data, Digital Experience, Cybersecurity y AI Engineering.
En Encora contratamos profesionales basándonos únicamente en sus habilidades y calificaciones, sin discriminación por edad, discapacidad, religión, género, orientación sexual, condición socioeconómica o nacionalidad.
Ready to apply?
Apply to Encora