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.

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.  

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

Remote in Peru, Ecuador, Mexico, Brazil, Argentina, or any EST time zone fitting location

We are seeking a Senior Full Stack Engineer (Contractor) to join our dynamic Engineering team. This role is fully remote, offering an opportunity to contribute to exciting projects with the potential to transition into a long-term contractor position. As part of our highly experienced engineering team, you’ll work closely with Dave Brennan and be part of his team, giving you the opportunity to collaborate with him directly, learn from his experience, influence design decisions, and drive innovation while keeping the customer’s needs at the forefront.

WHO YOU ARE

As a Senior Full Stack Engineer (Contractor), you will develop advanced solutions using cutting-edge technologies, including cloud-based services, containerization, AI-driven features, adaptive process automation, and more. We’re looking for a passionate and innovative developer eager to build and scale the next wave of Hyperproof’s capabilities.

This role is a great opportunity for engineers who thrive in a collaborative, fast-paced environment and enjoy working on both frontend and backend solutions.

WHAT YOU WILL DO

• Develop and design engaging user experiences using TypeScript and React, Java, C#; Go experience is also valuable.
• Design backend components, including REST APIs, queueing, storage systems, security layers (role-based access control, encryption), and more.
• Leverage AI-powered development tools (e.g., code assistants, automated testing, and analysis tools) to improve engineering productivity, code quality, and delivery speed.
• Contribute to and help evolve AI-driven product features, including intelligent automation and adaptive workflows.
• Collaborate with Product Managers to understand customer needs and translate them into software solutions.
• Own the quality and performance of the applications you build, ensuring they are reliable, scalable, compliant, and meet both customer and business expectations.
• Build reusable software components for other developers and business users.
• Implement automated testing and ensure code maintainability through documentation and best practices.

WHAT YOU’LL BRING

• 5+ years of experience in software engineering, focusing on design and coding at a component level.
• Professional level of English language proficiency.
• A strong customer-first mindset, with the ability to translate requirements into modern, flexible software solutions.
• Proficiency in FrontEnd and BackEnd technologies.
• Experience developing and integrating REST APIs using JSON and/or XML.
• Familiarity with cloud services (Azure or similar) for deployment and debugging.
• Expertise in asynchronous programming and scalable software development.
• Understanding of agile methodologies (Scrum/Kanban) and the ability to work effectively in agile teams.
• Bachelor's degree in Computer Science, Mathematics, or related experience.
• Excellent communication and collaboration skills, with the ability to mentor and take ownership of projects.

DESIRED DEVELOPERS SKILLS 

• TDD (Test Driven Development) and refactoring skills
• Experience in structuring the code for testability to separate unit-testable logic and integration-testable boundary code
• Nice to have: Pairing/mobbing experience and/or XP (eXtreme Programming) experience

This contract-to-hire arrangement provides a path to join the team permanently after successfully completing an exciting 6-12 month project.

CANDIDATE EXPERIENCE & INTERVIEW PROCESS

We value your time and aim to make the hiring process clear and efficient. The interview process includes:

1. 20-minute initial chat with our Senior Technical Talent Partner. 
2. Take-home technical assessment to showcase your skills. Utilizing Coderbyte platform.
3. Three 60-minute 1:1 interviews with our engineering team. One of them will be with the hiring manager. 

You’ll also have opportunities to ask questions and ensure this role aligns with your career goals.

LOCATION & WORK SETUP

This is a fully remote contractor position. We believe in hiring the best talent regardless of location and fostering a flexible work environment that allows you to thrive.

If you’re looking for an opportunity to work on exciting, high-impact projects with a growth-oriented company, we’d love to hear from you!

• Strong experience building mobile applications (iOS or Android) in production environments
• Experience with backend services and APIs
• Familiarity with AI-assisted development tools (Claude, ChatGPT, Gemini, etc.)
• Solid understanding of mobile platform internals (permissions, messaging systems, sandboxing, etc.)
• Experience designing scalable architectures and making system-level decisions
• Comfortable working with cloud infrastructure and distributed systems
• Ability to operate with high autonomy and navigate ambiguous requirements
• Strong communication skills and experience working with senior stakeholders

• Experience working on early-stage initiatives
• Experience with consumer-facing products
• Exposure to security-related domains (authentication, fraud detection, phishing, etc.)
• Experience working in fast-paced innovation or experimentation teams

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

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

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

Important Information 

Location: Peru

Work Mode: Hybrid 

Job Summary 

As a Senior Software Engineer - AI (19693), 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 scale AI-centric distributed systems that power offensive security and penetration testing products
• Lead the development of agentic AI capabilities, including LLM-driven workflows, RAG pipelines, and automated vulnerability detection systems
• Own the end-to-end lifecycle of AI-powered features, from architecture and implementation to deployment, monitoring, and continuous optimization
• Drive technical excellence by leading architecture discussions, code reviews, and mentoring engineers while promoting best practices in SDLC and cloud-native development

Qualifications and Skills 

• 7+ years of experience in backend engineering and distributed systems within production-grade environments
• 4+ years of expert-level experience in Go (Golang) and strong hands-on proficiency in Python for AI-driven systems
• Proven experience building AI-enabled applications using LLMs, RAG architectures, agentic workflows, and related frameworks
• Strong understanding of token usage optimization, LLM cost control strategies, and performance tuning for large-scale AI systems
• Deep expertise in microservices architecture, RESTful APIs, gRPC, and scalable backend design patterns
• Hands-on experience with asynchronous messaging systems such as Google Pub/Sub or Kafka
• Strong experience with relational and NoSQL databases, including performance optimization and distributed data strategies
• Advanced experience with Docker, Kubernetes, and cloud platforms (GCP preferred) in highly available environments
• Solid testing practices including unit testing, integration testing, and BDD, along with modern CI/CD and DevOps workflows
• Strong communication skills, leadership mindset, and experience mentoring engineers in fast-paced, innovation-driven environments; cybersecurity or offensive security experience is a strong plus

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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Software Development Engineer in Test (19742), 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 end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets
• Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards
• Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms
• Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness

Qualifications and Skills 

• 7+ years of experience in Quality Engineering, with strong focus on data platforms and automation
• Strong understanding of data warehousing concepts, ETL processes, and BI environments
• Advanced proficiency in SQL and scripting languages such as Python for automation and validation
• Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines
• Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices
• Experience working with version control systems (Git) and modern development workflows
• Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode
• Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies
• Proven track record of driving continuous technical, process, and team improvements
• Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards

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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Site Reliability Engineer (20669), 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 

• Ensure reliability, scalability, and performance of data platforms built on Azure and Databricks
• Design, implement, and maintain CI/CD pipelines, infrastructure as code, and automated deployment processes
• Monitor systems, manage incidents, and drive root cause analysis and continuous improvement initiatives
• Collaborate with data and platform teams to optimize performance, cost efficiency, and release management processes

Qualifications and 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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior SDET - Data & Analytics (19742), 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 implement end-to-end testing strategies for data pipelines, including dbt models across bronze to gold layers
• Collaborate with data engineers, analytics engineers, and business stakeholders to define testing scope and ensure data quality
• Develop and maintain automated test frameworks, validate ETL processes, and investigate test failures
• Drive continuous improvement in testing practices, processes, and quality standards across the data platform

Qualifications and 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.  

Important Information 

Location: Peru

Work Mode: Hybrid 

Job Summary 

As a Senior Quality Assurance Engineer (19518), 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 

• Estimate testing efforts based on technical specifications and participate in early planning phases to ensure comprehensive quality coverage across the SDLC
• Design, document, and execute functional, regression, performance, and acceptance test cases, ensuring software stability, reliability, and usability
• Identify, document, and validate defects, measure product stability through test metrics, and escalate risks impacting delivery timelines or quality
• Manage and prioritize the automation backlog, collaborate with automation engineers to increase test coverage, and leverage Agentic AI tools to enhance productivity and testing efficiency

Qualifications and Skills 

• Bachelor’s or Master’s degree in Geology, Geophysics, Computer Science, or a related Engineering discipline
• 5+ years of experience in Quality Assurance within complex software environments, preferably in geoscience or energy industry domains
• Strong experience designing and executing manual regression, functional, and performance testing strategies
• Hands-on experience managing test cases and defects using tools such as Azure DevOps or similar platforms
• Experience working with OpenWorks/Oracle databases and managing synthetic or project-based data sets
• Solid understanding of CI/CD principles and tools (e.g., GitLab) within Agile environments
• Proficiency working across both Windows and Linux platforms
• Hands-on experience using automation tools and frameworks to increase quality coverage
• Experience leveraging Agentic AI or AI-powered tools to improve productivity and quality processes
• Strong communication skills, collaborative mindset, and ability to work effectively in distributed global teams while mentoring junior members

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.  

Important 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.  

Important Information

Experience: +5 years

Job Mode: Full-time

Work Mode: Remote in all Latam

Job Summary

As a Senior Golang Engineer (19694) you will be part of a fast-paced, collaborative team developing our attack surface intelligence capabilities. You will be a critical contributor to the development and integration of reconnaissance technologies and products while also moving forward the state of engineering best practices in our cybersecurity platform. If you enjoy pivoting between different problems and meeting new challenges every day while developing solutions that are mission critical to the organization, this role is for you!

Responsibilities and Duties

• Develop and integrate cybersecurity testing and analysis systems with best-in-class cybersecurity platform;
• Build high-performance, resilient, scalable cloud-based software, microservices architecture and containers;
• Take software through CI/CD all the way to production and own its quality and availability;
• Utilize GCP platform to build and run highly-available software systems;
• Identify and resolve performance issues across systems and components;
• Collaborate on a cross-functional team, working with Product, Operations, and Platform Engineering;
• Integrate monitoring and alerting capabilities with backend modules to allow proactive improvements to availability and response times;
• Design, implement and deliver well-tested, scalable, highly available systems;
• Own and ideate technical solutions for product requirements and user stories;
• Actively engage and participate in design and code reviews;
• Offer guidance and support to junior team members, encouraging and cultivating a culture of continuous learning within the team

Essential Skills

• 5+ years of experience in backend software engineering and distributed systems.
• Strong Golang Required;
  • Strong experience and understanding of microservices, REST API design, gRPC, unit testing, BDD testing;
  • Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable;
  • Experience with asynchronous messaging technologies such as Google PubSub, Kafka;
• In depth knowledge of NoSQL and RDBMS technologies;
• Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred);
• Experience working on agile teams;
• Experience developing scalable and observable microservice-based applications
• Experience with GitOps and DevOps principles, practices and tools;
• A proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
• Advanced English skills.

Highly Desirable Skills

• Interest in security / penetration testing
• Interest in GenAI and LLM technologies

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

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

Important 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 

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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior AirTable Engineer (20187), 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, architect, and maintain scalable Airtable solutions and data models to support core business processes such as loan origination, underwriting, and operations
• Develop advanced automations, scripts, and integrations using Airtable Scripting, JavaScript, and external APIs
• Integrate Airtable with third-party systems including CRM, financial platforms, and data tools to enable seamless workflows
• Ensure data governance, system performance, and scalability while collaborating with cross-functional teams to deliver efficient and reliable solutions

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 5+ years of experience designing and implementing complex Airtable architectures in production environments
• Strong expertise in data modeling, relational database design, and scalable workflow architecture
• Proficiency in JavaScript for scripting, automation, and integrations
• Experience working with RESTful APIs, webhooks, and middleware tools such as Zapier or Make
• Hands-on experience integrating Airtable with external systems such as CRM platforms, financial systems, or document management tools
• Strong understanding of data governance, permissions, and enterprise-level system design
• Experience optimizing system performance and handling high-volume transactional workflows
• Strong problem-solving, communication, and stakeholder management skills
• Experience in fintech, lending, or financial systems and familiarity with tools like Salesforce is a plus

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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior AI Software Engineer - Go & Python (19693), 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 build scalable AI-driven systems focused on cybersecurity and offensive security use cases
• Lead the development of agentic AI solutions for vulnerability detection, automation, and threat intelligence
• Own end-to-end delivery of features from ideation to deployment, ensuring high performance and reliability
• Mentor engineers, lead technical discussions, and collaborate with cross-functional teams to integrate AI capabilities

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend engineering and distributed systems
• Strong experience with AI technologies such as LLMs, RAG, and agent-based systems
• Expert-level proficiency in Go and solid experience with Python
• Strong experience designing microservices, REST APIs, and gRPC services
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Strong knowledge of relational and NoSQL databases
• Experience optimizing LLM performance, including token usage and cost efficiency
• Excellent communication, leadership, and collaboration skills in cross-functional 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.  

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Analytics Engineer (20107), 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 the migration of dashboards and reports from ThoughtSpot to Power BI, ensuring alignment with enterprise data standards
• Design and build scalable data models and semantic layers to enable self-service analytics across the organization
• Collaborate with data engineering teams to ensure reliable data pipelines and high-quality data sources
• Optimize report performance, governance, and usability while supporting business users through training and onboarding

Qualifications and Skills 

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field, or equivalent practical experience
• 3–5+ years of experience in BI, analytics engineering, or reporting development
• Strong expertise in Power BI including DAX, Power Query, data modeling, and performance optimization
• Solid SQL skills with experience querying data platforms such as Azure Databricks
• Experience designing data visualizations and applying storytelling techniques for business insights
• Understanding of BI governance, security models, and role-based access control
• Experience working in Agile environments with sprint planning and iterative delivery
• Familiarity with Power BI Service administration, APIs, and CI/CD deployment pipelines
• Experience with cloud data integration tools such as Azure Data Factory or Synapse
• Strong communication skills with the ability to translate complex data into actionable insights for business 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.  

Important Information 

Location: Peru

Work Mode: Hybrid 

Job Summary 

As a Senior Cloud Engineer - Azure (20691), 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 maintain scalable, secure, and highly available cloud solutions on Microsoft Azure using cloud-native and serverless architectures
• Develop and manage infrastructure as code using Terraform, ensuring consistency, governance, and scalability across environments
• Implement and optimize CI/CD pipelines and automation processes to support cloud deployments, API management, and platform services
• Ensure operational excellence by implementing monitoring, observability, and performance optimization using tools such as Azure Monitor and New Relic

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 8–10+ years of experience in Cloud Engineering, DevOps, or Platform Engineering roles
• 5+ years of hands-on experience working with Microsoft Azure cloud services
• Strong experience with Terraform for infrastructure as code, including modules, state management, and multi-environment deployments
• Hands-on experience with Azure services such as API Management (APIM), Azure Functions, App Services, Storage, and networking components
• Strong knowledge of Azure networking including VNets, subnets, NSGs, private endpoints, DNS, and security configurations
• Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions
• Experience with observability tools such as Azure Monitor, Application Insights, Log Analytics, and New Relic
• Experience with artifact repositories such as Nexus and dependency management practices
• Strong scripting skills using Bash, PowerShell, or Python and ability to automate operational processes

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.  

Important 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 

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.  

Important Information 

Location: Perú

Work Mode: Hybrid

Job Summary 

As a Senior Go Backend Engineer - Cybersecurity (19694), 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 integrate high-performance backend systems for cybersecurity platforms using Golang
• Architect and implement scalable microservices and cloud-native solutions ensuring high availability and resilience
• Build and maintain CI/CD pipelines, observability, and monitoring to support reliable system operations
• Collaborate with cross-functional teams, contribute to system design, and mentor engineers to drive best practices

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 7+ years of experience in backend software engineering and distributed systems
• Strong proficiency in Golang with hands-on experience building production systems
• Experience designing and developing microservices, REST APIs, and gRPC services
• Strong knowledge of testing practices including unit testing, BDD, and clean code principles
• Experience with messaging systems such as Kafka or Google Pub/Sub
• Proficiency with Docker, Kubernetes, and cloud platforms, preferably GCP
• Experience with DevOps and GitOps practices including CI/CD pipelines and infrastructure as code
• Strong knowledge of relational and NoSQL databases
• Excellent problem-solving, communication, and collaboration skills with ability to work in dynamic 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.  

Required:

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

Preferred / Bonus:

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

What we offer

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

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