Devsu

• Maintain all of your projects profitable. • Monitor metrics and KPIs to identify opportunities for improvement. • Maintain high levels of team and customer satisfaction. • Coordinate product releases based on business objectives and development needs. • Manage risks and resolve issues that affect release scope, schedule, and quality. • Manage relationships and coordinate work between devsu teams and the client. • Negotiate, plan, and manage all product development activities. • Participate in planning or change meetings to discuss estimates, product scope, and/or roadblocks. • Communicate to stakeholders project plans, commitments, and changes, including requirements, QA plans, schedule, and scope changes.

Role Description We are looking for a motivated Senior Technical Project Manager to join the Devsu team. This is a fully remote opportunity open to candidates based in Latam. You will be assigned to lead and manage different projects. Your responsibility will be to maintain the health of the project and accelerate the flow of work from idea to delivery. This includes: - Prioritizing work in sprint planning - Coordinating and managing releases with the product team, tech team, and the client While this position won't require day-to-day coding, we do expect you to have hands-on experience in the Software Development Life Cycle. We envision our management and technical teams aligning and making technical decisions together. You will be responsible for implementing and managing release processes from idea through development, test, and production environments. At Devsu, the product manager works collaboratively with all participants in the software development process and supports the different teams involved, including: - UI/UX designers - Developers - Testers They work closely with technical leads and the client to ensure the product continues to evolve and delight users with the right new features. They also ensure that our teams have the resources to succeed in continuously software and creating value for our clients. Qualifications - Bachelor’s degree in Information Systems, Computer Science, Computer Engineering or related field - Hands-on experience in the Software Development field (As Software Developer, QA Engineer, etc.) - 4+ years of previous product management or project management experience in software projects - 2+ years of experience in software development, testing, or operations - Solid understanding of project management principles - Knowledge of Agile and DevOps methodologies - Solid understanding of software development lifecycle - Demonstrated ability to coordinate cross-functional work teams toward task completion - Demonstrated effective leadership and analytical skills - Proactive approach to problem solving - Command of the English language, advanced written and verbal communication skills Requirements - Maintain all of your projects profitable - Monitor metrics and KPIs to identify opportunities for improvement - Maintain high levels of team and customer satisfaction - Coordinate product releases based on business objectives and development needs - Manage risks and resolve issues that affect release scope, schedule, and quality - Manage relationships and coordinate work between Devsu teams and the client - Negotiate, plan, and manage all product development activities - Participate in planning or change meetings to discuss estimates, product scope, and/or roadblocks - Communicate to stakeholders project plans, commitments, and changes, including requirements, QA plans, schedule, and scope changes Benefits - A stable, long-term contract with opportunities for career growth - Private health insurance - A remote-friendly culture that promotes work-life balance - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work - A flexible Paid Time Off (PTO) policy as well as paid holiday days - Challenging, world-class software projects for clients in the US and LatAm - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

• Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing. • Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran. • Architect data processing systems capable of handling complex data flows and large-scale datasets. • Develop reliable, efficient, and cost-effective data solutions in an AWS environment. • Ensure high standards of data quality through automation and best engineering practices. • Optimize platform performance, resiliency, scalability, and operational costs. • Collaborate closely with software engineers, analysts, and business stakeholders. • Mentor engineers and analysts on data engineering best practices. • Participate in architecture discussions and technical decision-making.

Role Description We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. This role will be responsible for developing robust data pipelines, improving the data infrastructure, and ensuring high-quality, reliable data solutions in an AWS environment. The ideal candidate has strong expertise in Python, SQL, Spark, Airflow, and cloud-based data architectures, along with excellent communication skills and a collaborative mindset. - Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing. - Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran. - Architect data processing systems capable of handling complex data flows and large-scale datasets. - Develop reliable, efficient, and cost-effective data solutions in an AWS environment. - Ensure high standards of data quality through automation and best engineering practices. - Optimize platform performance, resiliency, scalability, and operational costs. - Collaborate closely with software engineers, analysts, and business stakeholders. - Mentor engineers and analysts on data engineering best practices. - Participate in architecture discussions and technical decision-making. Qualifications - 4+ years of experience as a Data Engineer working with modern data technologies. - Strong proficiency in Python and SQL. - Experience processing large-scale datasets. - Hands-on experience with Apache Spark and Apache Airflow. - Experience designing and architecting data processing systems in AWS. - Experience with Redshift and/or Snowflake. - Knowledge of Fivetran or similar data ingestion tools. - Strong understanding of data quality, automation, and data engineering best practices. - Excellent communication and interpersonal skills. Requirements - Experience with streaming technologies such as Kafka or AWS Kinesis Firehose. - Knowledge of Docker and/or Kubernetes. - Familiarity with Ruby or R. - Experience building or migrating a Data Warehouse. - Experience leading projects or mentoring technical teams. Benefits - A stable, long-term contract with opportunities for career growth. - Private health insurance. - A remote-friendly culture that promotes work-life balance. - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work. - A flexible Paid Time Off (PTO) policy as well as paid holiday days. - Challenging, world-class software projects for clients in the US and LatAm. - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.

• Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. • Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. • Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. • Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. • Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. • Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. • Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design.

Role Description We are looking for a Cloud Architect with a strategic mindset to lead the definition and evolution of enterprise-level cloud architectures. This role is key to ensuring systems are robust, modular, and ready for the adoption of artificial intelligence solutions. The position is fully remote. - Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. - Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. - Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. - Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. - Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. - Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. - Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design. Qualifications - 4+ years of experience in cloud solutions architecture, with at least 3 years in architecture design or definition roles (not solely implementation). - Advanced proficiency in Azure: networking, IAM, security, resource organisation, and core services. - Experience with cloud data platforms: Snowflake and/or Databricks. - Knowledge of CI/CD strategies and tooling (GitHub Actions, Azure DevOps, GitHub Enterprise). - Experience designing API-driven systems and architectures oriented toward AI or autonomous agent integration. - Familiarity with IaC and automation tools: Terraform, Bicep, Azure ARM, or equivalent. - Understanding of containerisation and orchestration: Docker, Kubernetes. - Experience in technical governance: managing technical debt, defining standards, and creating reference patterns. - Upper-intermediate to advanced English (technical reading and team communication). Benefits - A stable, long-term contract with professional growth opportunities. - Private health insurance. - Ongoing training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and cutting-edge AI tools to elevate your daily work. - A flexible paid time off (PTO) policy in addition to paid holidays. - Challenging, world-class software projects for clients across the United States and Latin America. - Collaboration with some of the most talented software engineers in Latin America and the United States, in a diverse work environment.

Role Description We are looking for a Cloud Architect with a strategic mindset to lead the definition and evolution of enterprise-level cloud architectures. This role is key to ensuring systems are robust, modular, and ready for the adoption of artificial intelligence solutions. The position is fully remote. - Define and maintain enterprise cloud architecture across Azure environments, establishing standards for networking, security, IAM, and resource organisation. - Evaluate and guide platform strategy across Azure, Snowflake, Databricks, and related tooling. - Establish architectural principles for AI-enabled applications, ensuring systems are API-driven, modular, and scalable. - Identify architectural constraints that limit autonomous/agent workflows and create reference patterns for AI-to-production transitions. - Guide the evolution of CI/CD pipelines, including potential GitHub Enterprise migration, ensuring deployment patterns are scalable, secure, and repeatable. - Define application architecture standards (front-end, APIs, services) and implement lightweight governance for AI-generated code before production. - Quantify and manage technical debt across systems, reducing key-person dependencies in infrastructure design. Qualifications - 4+ years of experience in cloud solutions architecture, with at least 3 years in architecture design or definition roles (not solely implementation). - Advanced proficiency in Azure: networking, IAM, security, resource organisation, and core services. - Experience with cloud data platforms: Snowflake and/or Databricks. - Knowledge of CI/CD strategies and tooling (GitHub Actions, Azure DevOps, GitHub Enterprise). - Experience designing API-driven systems and architectures oriented toward AI or autonomous agent integration. - Familiarity with IaC and automation tools: Terraform, Bicep, Azure ARM, or equivalent. - Understanding of containerisation and orchestration: Docker, Kubernetes. - Experience in technical governance: managing technical debt, defining standards, and creating reference patterns. - Upper-intermediate to advanced English (technical reading and team communication). Benefits - A stable, long-term contract with professional growth opportunities. - Private health insurance. - Ongoing training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and cutting-edge AI tools to elevate your daily work. - A flexible paid time off (PTO) policy in addition to paid holidays. - Challenging, world-class software projects for clients across the United States and Latin America. - Collaboration with some of the most talented software engineers in Latin America and the United States, in a diverse work environment.

• Design and develop backend services leveraging RAG architectures to deliver intelligent, context-aware responses • Build and optimize integrations with LLM providers (e.g., OpenAI, Bedrock), ensuring performance, scalability, and cost efficiency • Develop modern user interfaces using React and TypeScript • Build Python-based APIs and microservices deployed via AWS Lambda (Serverless Framework); contribute to Node.js services where needed • Work with and integrate multiple data sources, including PostgreSQL, Snowflake, and DynamoDB • Collaborate with frontend, data, and DevOps teams to ensure smooth deployment and integration of AI-driven features • Implement monitoring, logging, and performance optimization for AI pipelines and services (CloudWatch, etc.) • Maintain security best practices for data handling, authentication, and API usage • Continuously evaluate and recommend new AI tools, frameworks, and best practices.

Role Description We are seeking a Senior Backend Developer with strong expertise in Go and Google Cloud Platform to build and scale backend services that power live event management, media processing, asset distribution, and hybrid edge-caching solutions. This role focuses on designing high-performance microservices, distributed systems, and cloud-native applications that support mission-critical media workflows. The ideal candidate has deep backend engineering experience, strong cloud infrastructure knowledge, and excellent English communication skills for collaboration within a distributed team operating in the Central Time zone. - Design, develop, and maintain production-grade Go microservices using gRPC, Protocol Buffers, grpc-gateway, and REST APIs. - Build backend services supporting live event lifecycle management, media ingestion, media inspection, asset export, and distribution workflows. - Enhance and maintain hybrid media caching architectures integrating on-premise systems with Google Cloud Storage. - Own features end-to-end, from API design and protobuf schemas to deployment, monitoring, and operational support. - Develop event-driven solutions using Pub/Sub, Cloud Tasks, Cloud Functions, and Cloud Workflows. - Integrate services with Google Cloud media products such as Live Stream API, Transcoder API, Video Intelligence, and Vision AI. - Create and maintain unit, integration, load, and end-to-end tests to ensure platform reliability and performance. - Improve observability, monitoring, scalability, and overall system reliability. - Collaborate with DevOps teams on Kubernetes deployments, Helm charts, Terraform infrastructure, Istio configurations, and GKE rollouts. - Participate in architecture discussions, code reviews, technical design reviews, and on-call support rotations. Qualifications - 5+ years of professional backend development experience. - 3+ years of hands-on experience building production applications in Go. - Strong knowledge of Go concurrency patterns, context management, error handling, graceful shutdown, and service reliability. - Experience designing APIs using gRPC, Protocol Buffers, grpc-gateway, and RESTful services. - Experience working with Google Cloud Platform services, including: - GKE - Cloud Functions - Cloud Workflows - Pub/Sub - Cloud Tasks - Cloud Scheduler - Cloud Storage - Cloud SQL - Secret Manager - IAM and Service Accounts - Experience deploying and operating applications in Kubernetes environments. - Strong knowledge of Helm, Terraform, containerized deployments, and infrastructure as code. - Working knowledge of Istio service mesh concepts, including traffic routing, authorization policies, and mTLS. - Strong SQL skills with MySQL and/or PostgreSQL, including schema design, indexing, migrations, and query optimization. - Experience with Redis, Memorystore, or similar caching technologies. - Experience with CI/CD pipelines using GitHub Actions, Cloud Build, or equivalent tools. - Strong testing experience including unit, integration, end-to-end, and load testing. - Experience with testing frameworks and tools such as Testify, GoMock, SQLMock, k6, Locust, or similar. - Experience with observability and monitoring tools such as OpenTelemetry, Prometheus, Grafana, Cloud Trace, distributed tracing, and structured logging. - Ability to troubleshoot performance issues and maintain services aligned with SLOs and reliability targets. Preferred Qualifications - Experience with Google AIP API design standards. - Experience in live video streaming, media processing, content delivery, or media workflow platforms. - Experience building large-scale distributed systems and event-driven architectures. - Familiarity with hybrid cloud or edge-caching solutions. Additional Requirements - Advanced to excellent English communication skills. - Availability to work within Central Time business hours. - Strong problem-solving skills and ability to work independently in a remote environment. Benefits - Paid holidays (based on client calendar) - 15 business days of vacation - Health allowance - Annual learning budget - Company-provided computer Company Description Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Role Description At Devsu we are looking for an experienced Full Stack Developer who can architect and build an innovative AI-powered RPG content creation platform for a major publishing client. This is a high-impact, fast-paced project where you'll work directly with a Technical Principal, client stakeholders, and a cross-functional Agile team. This role requires someone who can move quickly, make smart architectural decisions under pressure, work collaboratively in pair programming sessions, and balance technical excellence with pragmatic delivery. You'll be building the core AI engine and backend infrastructure that powers complex, stateful content workflows. Work remotely from anywhere in Latam! - Design and develop backend services leveraging RAG architectures to deliver intelligent, context-aware responses. - Build and optimize integrations with LLM providers (e.g., OpenAI, Bedrock), ensuring performance, scalability, and cost efficiency. - Develop modern user interfaces using React and TypeScript. - Build Python-based APIs and microservices deployed via AWS Lambda (Serverless Framework); contribute to Node.js services where needed. - Work with and integrate multiple data sources, including PostgreSQL, Snowflake, and DynamoDB. - Collaborate with frontend, data, and DevOps teams to ensure smooth deployment and integration of AI-driven features. - Implement monitoring, logging, and performance optimization for AI pipelines and services (CloudWatch, etc.). - Maintain security best practices for data handling, authentication, and API usage. - Continuously evaluate and recommend new AI tools, frameworks, and best practices. Qualifications - 3+ years of experience building production-grade web applications. - Strong experience in AI/LLM development, working with APIs such as OpenAI, Anthropic, or AWS Bedrock. - Proven expertise in prompt engineering, RAG systems, context management, and cost optimization. - Strong backend development skills in Python, including API design, distributed systems, and serverless architectures. - Hands-on experience with the AWS ecosystem (Lambda, ECS, S3, RDS, DynamoDB, CloudWatch, etc.). - Experience working with React + TypeScript on the frontend. - Solid experience with databases: PostgreSQL, Snowflake, DynamoDB. - Experience in Agile/Scrum environments. - Comfortable with pair programming and collaborative development. - Ability to prioritize and adapt in fast-paced environments. - Strong communication skills with both technical and non-technical stakeholders. Requirements - Languages: Python, React, Go, TypeScript/Node.js - AI/LLM: OpenAI API, AWS Bedrock, LangChain, semantic search, vector databases - Cloud: AWS services (Lambda, ECS, RDS, DynamoDB, S3, API Gateway, CloudWatch) - Infrastructure: Terraform or CloudFormation, Docker, CI/CD pipelines - Databases: PostgreSQL, DynamoDB, Redis, or similar - APIs: RESTful design, GraphQL, WebSocket connections - Testing: Unit testing, integration testing, test automation frameworks Benefits - A stable, long-term contract with opportunities for professional growth - Private health insurance - A remote culture that promotes work-life balance - Ongoing training, mentoring, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and cutting-edge AI tools to enhance your daily work - A flexible paid time off (PTO) policy and paid holidays - Challenging, world-class software projects for clients in the U.S. and Latin America - Collaboration with some of the most talented software engineers in Latin America and the U.S., in a diverse work environment