What you will be doing:
- Design, build, and operate scalable, highly available ETL/ELT pipelines that move data from OLTP systems into the data lake, optimized for reliability, performance, and cost efficiency
- Design and evolve data lake foundations, including storage layout, partitioning strategies, schema management, lineage tracking, data cataloging, data versioning, and delta synchronization to ensure data is reliable and analytics- and AI-ready
- Build and operate vector databases, embedding pipelines, and RAG data workflows, including scalable ingestion and processing of unstructured content from internal and external sources
- Enable scalable real-time and event-driven data flows that power AI agent decision-making, orchestration, and system integrations
- Stay current with emerging cloud, data, and AI technologies by leading proof-of-concepts and translating findings into strategic guidance that informs platform roadmaps and long-term architectural decisions
- Take end-to-end ownership of features and solutions across the full software development lifecycle, from design and implementation through testing, deployment, monitoring, and ongoing maintenance
- Provide technical mentorship to junior engineers through code reviews, pair programming, and collaborative solution design
- Maintain clear, current technical and architectural documentation while enforcing development best practices to ensure codebase quality, reliability, and maintainability
- Drive operational excellence by identifying recurring issues, eliminating root causes, improving system reliability for customers and internal teams, and participating in a 24/7 production support rotation with thorough post-mortems and root cause analysis for major customer-impacting incidents
- Partner with DevOps and DevSuccess to enhance build processes, test automation, CI/CD pipelines, and overall platform operability
- Actively participate in prioritizing and reducing technical debt within the systems owned by the team
What you’ll bring:
- 5+ years of experience in data engineering or software engineering, with at least 3 years designing and operating cloud-based (AWS) data platforms
- Demonstrated experience building and owning end-to-end ETL/ELT pipelines, including ingestion from OLTP systems into analytics- and AI-ready data lakes
- Experience designing and supporting production-grade data systems for customer-facing SaaS applications with high availability and operational rigor
- Hands-on experience enabling AI- and analytics-driven workloads, including embedding pipelines, vector-based retrieval, and data workflows that support agentic or intelligent systems
- Strong software engineering fundamentals, including designing maintainable, testable systems and participating across the full software development lifecycle
- Experience operating data systems in production, including monitoring, incident response, post-mortems, and continuous improvement
- Proven ability to mentor junior engineers and contribute to technical leadership through code reviews and collaborative design
- Strong English language communication and collaboration skills
Nice to have
- Experience building platforms in regulated or compliance-heavy domains
- Familiarity with accounting, auditing, or financial workflows
- Experience defining AI governance or platform adoption standards in large organizations
The Tech Stack You’ll Work With:
- Java (21+) Spring microservices
- Python 3
- AWS EKS, Lambda
- AWS OpenSearch Serverless / AWS S3 Vector Storage
- AWS Knowledge Bases
- AWS Textract
- AWS storage solutions (DynamoDB, S3)
- AWS Lake Formation, Glue Catalog
- AWS SNS/SQS
- GitHub & GitHub Actions
- Nx Monorepo
- Our devs prefer to use IntelliJ (IDEA)
- Atlassian Cloud (Jira/Confluence)
- Microsoft Teams and Outlook
- Microsoft Office 365
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