What you'll be doing:

• Design and build key features and architectural improvements end-to-end — from technical discovery and system design through implementation, testing, and production support.

• Write production code daily in critical services, pipelines, and frameworks, using modern cloud-native patterns and technologies.

• Provide mentorship to the other developers on your team through design reviews, pair programming, and code reviews.

• Build deep expertise in the technology and architecture powering the Data Analytics Platform and use that knowledge to drive sound technical decisions.

• Collaborate with Product and Engineering to disambiguate requirements, surface technical uncertainty, and clearly communicate trade-offs and risks. 

• Champion engineering excellence by keeping trunk/master green, stable, and deployable through strong CI/CD, testing, and operational practices. 

• Coordinate with DevOps/CloudOps teams to ensure your squad has the tooling, infrastructure, and support needed to ship confidently. 

• Own production reliability for the systems your squad manages, driving continuous improvement through post-mortems and root cause analysis.

• Provide 24/7 production support for the systems your team manages, driving continuous improvement in this area through post-mortems and root cause analysis.

What you'll bring:

• 5+ years hands-on experience with Java 17+ (Spring Boot), microservice architecture, and developing enterprise SaaS applications on AWS.

• Extensive experience building and evolving cloud-native, data analytics platforms in production.

• Strong system design expertise, particularly in distributed systems, event-driven architectures, and large-scale data processing.

• Deep knowledge of analytics workflows, with an eye toward performance and correctness.

• An AI-native mindset — you instinctively reach for AI-powered tools and techniques as a first approach to problem-solving, planning, design, troubleshooting, code generation, debugging, and knowledge discovery.

• Proven ability to influence architectural direction, drive alignment across teams, and lead initiatives beyond your immediate scope.

• Comfort operating in ambiguity, with the ability to make sound technical decisions and clearly communicate risks and trade-offs.

Agentic engineering and AI tools expectations

As a member of this team, you are expected to integrate AI-assisted development into your daily workflow. This means using AI tools strategically to accelerate delivery, improve code quality, and solve problems faster, while maintaining strong engineering judgment and accountability for all work that ships. 

• Proficiently use agentic code generation tools in your daily IDE 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 improvements to your tools/workflows 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; measure its impact on velocity and quality

The Tech Stack

• Java 17+ (Spring Boot), Angular 16+.

• NestJS, GraphQL.

• AWS EKS-hosted microservices.

• Orchestration with AWS Step Functions and SNS/SQS.

• AWS storage solutions (S3, Lake Formation, DynamoDB).

• AWS Lambda (Serverless).

• GitHub & GitHub Actions.

• Nx Monorepo.

• Atlassian Cloud (Jira / Confluence).

• Microsoft 365 (Outlook, OneDrive, Teams, etc.).

Perks & Benefits

¨Contrato a termino Indefinido¨ with all the legal benefits
Prepaid Medicine
Life insurance and funeral assistance
Internet allowance
Home office stipend
Competitive compensation — above the market average
100% remote work environment and an excellent work-life balance
Opportunity to work for a growing global SaaS leader company
A culture that promotes independence, innovation, trust, and accountability
Open space to be creative, innovative and strategize for the future
Mentorship by highly experienced professional 
Budget for training, we want you to grow
5 Personal Time Off days per year
Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90. 
Recognition Award, additional paid time off in recognition of the corresponding year of service
Upgrade vacation starting at 5 years of service
AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.