Want to know if this job is worth applying to?
Bogotá, Bogotá, Distrito Capital, Colombia
Remote only
Create architecture, prototypes, and design proposals that deliver near-term business value while aligning with the future-state product and platform vision.
Influence technical direction through architecture reviews, RFCs, prototypes, design discussions, and hands-on delivery across the SDLC.
Partner with senior developers, architects, and tech leads to define and execute the product/platform architecture roadmap.
Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions.
Break down large initiatives into parallelizable chunks of work that deliver incremental business value.
Champion proposals through all phases of the SDLC, from design through production implementation.
Contribute to improving the core product build, CI/CD pipelines, and overall SDLC.
Drive automation initiatives at the team level — eliminating manual toil in builds, testing, deployment, and operational workflows, and setting the standard for how automation is done well.
Champion innovative approaches to platform evolution, tooling, and modernization — evaluating emerging technologies, build-vs-buy tradeoffs, and new capabilities that could meaningfully move the platform forward.
Troubleshoot and eliminate root causes of persistent production issues; drive reliability, observability, monitoring, and incident response.
Keep technical documentation current and create new artifacts as needed.
Facilitate design discussions within and across teams.
Represent the team in technical discussions with Tech Leads, Operations, Product/UX, Security, Domain SMEs, and external stakeholders.
Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership.
Mentor other developers through design reviews, joint agentic-AI sessions, and feedback on skills, prompts, and other agent inputs; contribute to raising overall engineering maturity.
Define and evolve back-end service architecture and standards for scalability, security, reliability, APIs, and alignment with the product and platform roadmap.
Design, build, and operate distributed cloud-native services, breaking large initiatives into parallel, incremental deliveries that balance speed, quality, and maintainability.
Partner with QA, Security, Product, Operations, architects, and technical leads to deliver robust, well-tested services and translate decisions into business value.
Use AI-assisted development tools responsibly, verify generated output, automate suitable workflows, and establish team guardrails and feedback loops.
Own security posture and CVE-remediation strategy across the cloud platform's dependency graph, with the ability to extend that discipline to a legacy native Windows codebase when required.
Apply or review applied-cryptography and secure-transport patterns, in both cloud services and native components
Use AI-assisted development tools — inline completion, conversational assistants, and agentic workflows — as a standard part of your daily workflow.
Critically evaluate and take ownership of all AI-generated output before it ships — verify correctness, security, and alignment with architecture and team standards.
Identify opportunities for agentic automation within your team and lead the rollout of new AI-assisted workflows and tooling.
Mentor other developers on effective, responsible use of AI-assisted development tools.
Help establish team-level practices and guardrails for using AI tools safely and effectively.
Build and refine feedback loops that improve the team's collective use of AI tooling over time.
Experience with cloud providers beyond AWS (Azure, Google Cloud).
Familiarity with containerization and orchestration (Docker, Kubernetes).
Contributions to open-source projects or a strong GitHub portfolio.
Experience with native Windows development (C++/MFC/COM) or applied cryptography libraries.
Languages & Frameworks: Java 25
SpringBoot, Spring Cloud Gateway
Cloud & Infrastructure: AWS (S3, Secrets Manager, Lambda, SQS, SNS, DynamoDB, EKS, etc.), CloudFormation, Terraform, Kubernetes/Istio, AWS CDK
Data: AWS DocumentDB, PostgreSQL, S3
Testing & Observability: JUnit, New Relic
Tooling: Jira, Devin, Claude, GitHub
Legacy exposure: native Windows (C++, .NET Framework, MSBuild) for security/refactoring work.
Degree in Computer Science, Software Engineering, or equivalent practical experience; 8+ years of professional software development experience with demonstrated impact beyond a single team.
Proven experience designing and operating distributed, cloud-native, SaaS/multi-tenant platforms at scale, ideally on AWS.
Strong software fundamentals: OOP, design patterns, SOLID principles, and a track record of advocating for code quality.
Experience with agentic-AI software development practices.
Experience designing and consuming well-designed HTTP APIs (REST, GraphQL, or similar).
Experience mentoring developers and influencing architectural decisions across teams.
Strong written and verbal communication skills; comfortable operating in fast-moving environments with ambiguity and evolving requirements.
Strong initiative to improve processes, tools, methodologies, and product quality.
Deep expertise in cloud-native service architecture, with enough native Windows/C++ background (or willingness to build it) to safely refactor and patch a legacy desktop codebase