Senior Software Developer, Data Interoperability Platform

Job Description

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