Cloud Engineer Jobs in Peru.
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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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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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Senior Clinical Data Engineer (LATAM)
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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
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision for Medicine
Senior Clinical Data Engineer (LATAM)
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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
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Ready to apply?
Apply to Precision Medicine Group
Software Engineer, Data Infrastructure & Acquisition - Lima, Peru
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Información Importante
Ubicación: Perú
Modalidad de trabajo: Hibrido - 1 a 2 veces por semana en Miraflores. Apto para residentes fuera de Lima con disponibilidad de acceso cuando se requiera.
Resumen del puesto
Buscamos un/a QA Engineer (21166) con experiencia en entornos bancarios para asegurar la calidad de aplicaciones digitales (web y mobile) mediante la ejecución de pruebas funcionales, automatización y validaciones de performance. La persona será responsable de garantizar la estabilidad, seguridad y correcto funcionamiento de soluciones orientadas a banca digital, trabajando de forma colaborativa con equipos de desarrollo y negocio.
Responsabilidades y Funciones
-
Ejecutar pruebas funcionales, de regresión y pruebas de aceptación de usuario (UAT).
-
Diseñar, documentar y mantener casos de prueba manuales y automatizados.
-
Participar en la automatización de pruebas y mejora continua de procesos QA.
-
Realizar pruebas de performance utilizando herramientas como JMeter.
-
Ejecutar pruebas de APIs y validar integraciones entre sistemas.
-
Identificar, registrar, hacer seguimiento y validar la corrección de defectos.
Requisitos y Habilidades
-
+4 años de experiencia profesional como QA
-
+2 años de experiencia en automatización de pruebas.
-
2 a 4 años de experiencia en pruebas funcionales, regresión y UAT.
-
2 años de experiencia en banca o proyectos relacionados (banca digital, créditos, ahorros).
-
Certificación ISTQB Foundation.
-
Experiencia en pruebas de performance con JMeter.
-
Experiencia en API Testing.Manejo de Jira y Xray.
-
Experiencia en gestión de defectos.
-
Conocimiento de métricas de calidad.
-
Nivel intermedio en bases de datos (DB2 / SQL Server).
-
Experiencia con Git.
Deseables:
- Conocimiento de BanTotal.
- Experiencia con herramientas de análisis de código y seguridad (SonarQube, Veracode).
- Conocimientos en GCP.
- Conocimiento de ESB.
Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.
En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.
Ready to apply?
Apply to Encora
Senior Full Stack Engineer - Contract-to-Hire
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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:
- 20-minute initial chat with our Senior Technical Talent Partner.
- Take-home technical assessment to showcase your skills. Utilizing Coderbyte platform.
- 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!
WHERE YOU’LL GO
- Hyperproof also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us.
WHAT WE OFFER TO OUR EMPLOYEES
Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ
- Annual compensation reviews + equity
- Unlimited PTO: strongly encouraged to unplug and recharge
- Health: coverage for medical, dental, and vision - employee and dependents
- 401K, which vests immediately, complete with a 4% company match
- 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
- Annual company in-person events and quarterly in-person connects
- $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
- $100 quarterly paid wellness stipend
- Pet insurance discount
- Slack channel notifications turn off after 5 pm based on your time zone
- Two Hypercharge weeks of rest where we close company-wide (July & Dec)
It’s an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space.
At Hyperproof’s core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets.
We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don’t happen.
Learn more about the @hyperproof culture and how it all started.
A NOTE ABOUT OUR INTERVIEW PROCESS
We’re committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process.
Here’s what that means for you:
- We may conduct routine verification checks during the hiring process.
- You might be asked additional questions to better understand your experience and background.
- For video interviews, we ask that candidates be on camera without filters or visual modifications.
These steps are applied consistently for all candidates and are designed to ensure an equitable experience for everyone.
EQUAL OPPORTUNITY EMPLOYER
Hyperproof is committed to a diverse and inclusive workplace — it’s one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.
Ready to apply?
Apply to Hyperproof
Senior 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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Senior Mobile Engineer (Full Stack)
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We are a leading Product Development, Artificial Intelligence, and Team Augmentation studio with our eyes set on the future that crafts better futures for humanity by relying on cutting-edge technology to create impressive digital products and solutions that widen your global reach. Our human-centric approach guides us every step of the way and we're proud of the impact our products make.
We’re looking for a Senior Mobile Engineer with full stack capabilities to help build a consumer-facing mobile product from the ground up.
You’ll take an early-stage prototype and evolve it into a functional, scalable application. You’ll work closely with senior stakeholders to translate high-level ideas into concrete technical solutions, shaping both the product and the underlying architecture.
The product focuses on mobile security and user protection, including areas such as phishing detection, message validation, and identity verification.
What We’re Looking For
- 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
Nice to Have
- 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
WHAT DO WE OFFER
💵Competitive USD salary
🌴20 business days of vacation per year + 6 National holidays
🐣Family Leave
💻A dynamic remote work culture. You can work from Anywhere!
🚀An entrepreneurial environment.
ABOUT US:
In 2010 our founders dreamed up a company that could positively impact the world. Since then, we are in permanent evolution and revolution that brings us closer to our goal.
At first, we did it through business consulting. Then, we shifted towards innovation and design. And now, we've decided to go the Arionkoder way: entrepreneurial vision and creativity are in our DNA, and this is the time to turn them into a tangible reality. That s why we create amazing digital products with the power to impact lives.
We have been dreamers and we still are. We loved it and looked forward to the next revolution!
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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.
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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
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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.
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Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Senior Software Engineer (20874) con experiencia en DeFi (Decentralized Finance), responsable de diseñar, desarrollar y mantener soluciones basadas en tecnologías blockchain. Tendrás un rol clave en la construcción de aplicaciones descentralizadas (dApps), asegurando seguridad, escalabilidad y eficiencia en entornos financieros digitales.
Responsabilidades y Funciones
- Diseñar y desarrollar aplicaciones descentralizadas (dApps).
- Implementar y mantener smart contracts.
- Integrar soluciones blockchain con sistemas backend y frontend.
- Asegurar la seguridad y eficiencia de las transacciones en entornos DeFi.
- Colaborar con equipos multidisciplinarios para el desarrollo de productos innovadores.
- Realizar revisiones de código y aplicar buenas prácticas de desarrollo.
- Investigar nuevas tecnologías y tendencias en blockchain y DeFi.
Requisitos y Habilidades
- Experiencia sólida en desarrollo de software (backend y/o fullstack).
- Experiencia en tecnologías blockchain y ecosistemas DeFi.
- Conocimiento en desarrollo de smart contracts (Solidity u otros).
- Experiencia con redes blockchain (Ethereum u otras).
- Conocimiento en seguridad de aplicaciones y criptografía.
- Experiencia trabajando en entornos ágiles.
- Habilidades de comunicación, pensamiento analítico y trabajo en equipo.
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.
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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.
Ready to apply?
Apply to EncoraImportant 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
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Engineering roles
- Strong SQL skills for querying, optimization, and troubleshooting data issues
- Proficiency in scripting languages such as Python and Bash
- Hands-on experience with Microsoft Azure services including compute, storage, networking, and containers
- Experience working with Databricks including Delta Lake, Unity Catalog, and data platform components
- Strong experience building and managing CI/CD pipelines using Azure DevOps
- Experience provisioning and managing infrastructure using Terraform
- Strong knowledge of incident management, monitoring, and release management practices
- Excellent problem-solving, communication, 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.
Ready to apply?
Apply to EncoraImportant 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
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 7+ years of experience in Quality Engineering or SDET roles
- Strong experience in data testing, ETL validation, and data warehousing concepts
- Proficiency in SQL and scripting languages such as Python
- Experience with dbt, Databricks, and modern data stack environments
- Strong understanding of testing strategies including the Test Pyramid and automation best practices
- Experience working with version control systems such as Git and collaborative workflows
- Experience in insurance domain with understanding of data models and processes
- Familiarity with BI tools such as Power BI or Tableau and data validation techniques
- Strong communication, analytical, and problem-solving skills with ability to work 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 EncoraImportant 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.
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.
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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.
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Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Backend Software Engineer Mid (21034) con fuerte enfoque en Java y desarrollo de APIs, responsable del mantenimiento evolutivo de aplicaciones, corrección de vulnerabilidades y soporte técnico dentro de un entorno bancario exigente.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones backend en Java y Spring.
- Diseñar, implementar y documentar APIs RESTful.
- Consumir y exponer servicios SOAP y REST.
- Corregir vulnerabilidades identificadas por equipos de seguridad.
- Brindar soporte al equipo de QA en resolución de incidencias.
- Realizar despliegues en ambientes no productivos para certificación.
- Gestionar versionamiento de código mediante Git.
- Documentar evidencias técnicas de cambios y soluciones implementadas.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo backend con Java.
- Conocimiento avanzado en Java (8, 11 o superiores) y Spring Framework.
- Experiencia sólida con Oracle (procedimientos almacenados, packages, funciones).
- Experiencia en diseño y desarrollo de APIs REST.
- Conocimiento en servicios SOAP.
- Conocimiento en mecanismos de autenticación y autorización (JWT, OAuth).
- Experiencia con herramientas como Postman y Swagger.
- Manejo de control de versiones (Git).
- Conocimiento en pruebas unitarias y funcionales.
- Conocimiento en buenas prácticas de seguridad (XSS, CSRF, SQL Injection).
- Conocimiento intermedio en JavaScript (ES6+).
- Experiencia en metodologías ágiles (Scrum).
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.
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Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Data Engineer Mid (20959) responsable de diseñar e implementar soluciones end-to-end de datos, desde la configuración de herramientas como Jira/Xray hasta la construcción de pipelines ETL y dashboards en Power BI. Tendrás un rol clave en la automatización, explotación de datos y generación de insights para el negocio.
Responsabilidades y Funciones
- Configurar y administrar Jira y Xray (workflows, campos, esquemas, permisos).
- Implementar buenas prácticas de gobernanza y gestión de herramientas.
- Desarrollar automatizaciones en Jira (Automation for Jira).
- Diseñar y ejecutar extracción de datos desde Jira, Xray y otras fuentes vía API.
- Diseñar arquitectura de datos end-to-end (ETL → BigQuery → Power BI).
- Construir y optimizar pipelines ETL (extracción, transformación y carga).
- Gestionar datasets, tablas y consultas en BigQuery.
- Desarrollar dashboards e indicadores en Power BI.
- Asegurar calidad, consistencia y performance de los datos.
Requisitos y Habilidades
- +3 años de experiencia en ingeniería de datos o BI.
- Experiencia en configuración de Jira y herramientas como Xray.
- Conocimiento en automatización de procesos (Automation for Jira).
- Experiencia en desarrollo de pipelines ETL.
- Conocimiento en SQL y modelado de datos.
- Experiencia en BigQuery o herramientas similares.
- Experiencia en Power BI (dashboards, modelos semánticos, KPIs).
- Conocimiento en integración de APIs.
- Experiencia trabajando en entornos 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.
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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?
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Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un DevOps Engineer Mid (20839) con experiencia en automatización, integración continua y despliegue de aplicaciones. Serás responsable de implementar y optimizar pipelines, gestionar entornos containerizados y promover prácticas de GitOps dentro de un entorno ágil.
Responsabilidades y Funciones
- Diseñar y mantener pipelines de CI/CD.
- Gestionar entornos con Docker y Kubernetes.
- Implementar prácticas de versionamiento y control de código.
- Administrar despliegues mediante herramientas como Jenkins y Argo CD.
- Promover prácticas de GitOps y automatización.
- Monitorear y optimizar procesos de integración y despliegue.
- Colaborar con equipos de desarrollo para mejorar la entrega continua.
Requisitos y Habilidades
- +3 años de experiencia en roles DevOps.
- Experiencia con Jenkins.
- Conocimiento en Docker y Kubernetes.
- Manejo de versionamiento de código (Git).
- Experiencia con Argo CD y/o Anthos.
- Conocimiento en prácticas de CI/CD y GitOps.
- Experiencia trabajando en entornos 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?
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Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un Frontend Software Engineer Mid (21035) con experiencia en React, enfocado en el desarrollo y mantenimiento de aplicaciones web, asegurando calidad de código, integración con servicios y cumplimiento de estándares de seguridad.
Responsabilidades y Funciones
- Desarrollar y mantener aplicaciones frontend utilizando React.
- Implementar landings y componentes web integrados con servicios backend.
- Corregir vulnerabilidades identificadas por el equipo de seguridad.
- Brindar soporte al equipo de QA en la resolución de issues.
- Generar builds para entornos de desarrollo y producción.
- Gestionar versionamiento de código mediante Git.
- Documentar soluciones y evidencias de corrección.
- Participar en reuniones de coordinación con equipos técnicos.
Requisitos y Habilidades
- +3 años de experiencia en desarrollo frontend.
- Experiencia sólida en React.
- Conocimiento en Angular (deseable).
- Conocimiento en Node.js.
- Manejo de JavaScript, CSS y SCSS.
- Experiencia en consumo e integración de APIs (REST/SOAP).
- Manejo de herramientas como Postman y Swagger.
- Conocimiento en control de versiones (Git).
- Conocimiento en buenas prácticas de seguridad web (XSS, CSRF, etc.).
- Experiencia en metodologías ágiles (Scrum).
- Conocimiento en SEO (deseable).
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?
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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 EncoraInformación Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido
Resumen del Rol
Buscamos un QA Automation Engineer Senior (20763), responsable de asegurar la calidad del software mediante la automatización de pruebas y la implementación de estrategias de testing. Tendrás un rol clave en la mejora continua de procesos de calidad, garantizando soluciones confiables, eficientes y de alto rendimiento.
Responsabilidades y Funciones
- Diseñar, desarrollar y mantener pruebas automatizadas.
- Implementar frameworks de automatización de testing.
- Identificar, documentar y dar seguimiento a defectos.
- Colaborar con equipos de desarrollo para asegurar la calidad desde etapas tempranas.
- Ejecutar pruebas funcionales, de integración y regresión.
- Integrar pruebas dentro de pipelines CI/CD.
- Promover buenas prácticas de QA y mejora continua en procesos de testing.
- Participar en ceremonias ágiles y actividades del equipo.
Requisitos y Habilidades
- Experiencia sólida en automatización de pruebas de software.
- Conocimiento de herramientas como Selenium, Cypress u otras similares.
- Experiencia en desarrollo de scripts de automatización.
- Conocimiento del ciclo de vida de desarrollo de software (SDLC).
- Experiencia en integración de pruebas en CI/CD.
- Experiencia trabajando en entornos ágiles.
- Habilidades analíticas, atención al detalle y trabajo en equipo.
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 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.
Ready to apply?
Apply to EncoraImportant 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.
Ready to apply?
Apply to EncoraImportant 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.
Ready to apply?
Apply to EncoraImportant 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.
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.
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Apply to EncoraImportant 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.
Ready to apply?
Apply to Encora