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Bogotá, Bogotá, Distrito Capital, Colombia
Remote only
Design, develop, and maintain scalable, high-quality software solutions in your team's core stack and technologies.
Actively contribute to the enhancement of SDLC processes, ensuring best practices in continuous integration and delivery (CI/CD).
Collaborate with cross-functional teams to understand requirements and deliver on project objectives; conduct code reviews to ensure code quality and adherence to standards. Use Jira and git appropriately and correctly registering versions, changes, and corrections.
Identify, troubleshoot, and resolve complex technical issues related to software development and deployment; perform bug fixes and deliver new functionality and enhancements from user stories
Act as a subject matter expert in your team's core stack and share knowledge to uplift the team's technical expertise.
Proactively identify manual, repetitive, or error-prone work — in builds, testing, deployment, or day-to-day development — and automate it using scripts, tooling, or agentic AI workflows.
Bring forward and prototype innovative ideas — new tools, techniques, or approaches — that measurably improve team velocity, code quality, or system reliability.
Participate in the on-call rotation, respond to operational issues, take initiative on appropriate fixes, and help resolve underlying root causes while keeping end-user impact in focus.
Design, build, and maintain services in our cloud platform.
Support secure-transport and credential-handling work (certificate validation, encryption) where it touches native components.
Contribute to architecture discussions for new back-end features.
Own testing and deployment of the features you build.
Proficiently use inline code-completion tools as part of your daily workflow.
Use conversational AI assistants for pair programming, design discussion, debugging, and documentation.
Critically evaluate all AI-generated output before committing — verify correctness, security, and alignment with team standards.
Identify routine or well-scoped tasks as candidates for agentic automation and propose workflow improvements to support this.
Build feedback loops — document what worked, what failed, and why — to improve future agent performance and team understanding.
Collaborate with your team to design and instrument AI-powered developer tooling; help measure its impact on velocity and quality.
Experience with cloud services (AWS, Azure, or Google Cloud).
Familiarity with containerization technologies (Docker, Kubernetes).
Contributions to open-source projects or a strong GitHub portfolio.
Experience with C++ or native Windows development.
Languages & Frameworks: Java 25, SpringBoot, Spring Cloud Gateway
Cloud & Infrastructure: AWS (S3, Secrets Manager, Lambda, SQS, SNS, DynamoDB, EKS, etc.), CloudFormation, Terraform
Data: MongoDB, PostgreSQL
Testing & Observability: JUnit, New Relic
Tooling: Jira, IntelliJ IDEA, GitHub
Occasional exposure to native Windows development (C++, Visual Studio/MSBuild) for legacy maintenance.
Bachelor's degree in computer science, Software Engineering, or a related field.
5+ years of professional experience, primarily in cloud/back-end development (Java/SpringBoot or similar); exposure to C++ or native Windows development is a plus, not a requirement.
Strong understanding of the SDLC and experience improving SDLC processes.
Excellent problem-solving skills and ability to work independently or as part of a team.
Strong communication and collaboration skills, with the ability to work effectively across a team.
5+ years of experience with Java/SpringBoot and building production services.
Solid understanding of microservices architecture and containerization (Docker/Kubernetes).
Experience with relational and NoSQL databases.
