Senior Java Platform Architect - Remote Colombia

Caseware International; Bogotá, Medellín; Hybrid; COP 380,445,000 - 538,964,000; Full time

Benefits offered by this job

Contrato a termino Indefinido

Prepaid Medicine

Life insurance and funeral assistance

Internet allowance

Home office stipend

Competitive compensation — above the市场

100% remote work environment

5 Personal Time Off days per year

Sick Leave Top up to 100%

Recognition Award, additional paid PTO

AI-first environment: tools and AI-led

Budget for training

Job summary

Caseware is seeking a Staff Software Developer to join our remote-first team in Colombia. You are a senior individual contributor who shapes architecture, mentors engineers, and drives scalable solutions across microservices and cloud environments.

You will own features end-to-end, define standards, and collaborate with product, security, QA, and DevOps to ensure observability and reliability while advancing AI-assisted development practices across the SDLC.

Qualifications

• Extensive experience with server-side Java and cloud native apps.
• Experience delivering on monoliths and microservices architectures.
• Proven track record shaping platform-level architecture.
• Strong collaboration with cross-functional teams and product owners.

Responsibilities

• Own key features and architectural improvements end-to-end.
• Define and evolve architectural standards for scalability and security.
• Mentor senior and junior engineers through design reviews.
• Partner with DevOps, Security, QA, and Product for reliability.

Skills

Java expert

Monolith & microservices

Docker & Kubernetes

NoSQL MongoDB

AWS cloud

CI/CD pipelines

Communication & leadership

Tools

Jira

GitHub

DevIn

Claude Code

Job description

Caseware is seeking a Staff Software Developer to join our remote-first team in Colombia. You are a senior individual contributor who shapes architecture, mentors engineers, and drives scalable solutions across microservices and cloud environments.

You will own features end-to-end, define standards, and collaborate with product, security, QA, and DevOps to ensure observability and reliability while advancing AI-assisted development practices across the SDLC.