Senior Software Developer

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!

At Caseware, we are evolving our cloud platform to deliver intelligent, data-driven experiences that help our customers work smarter, faster, and with greater confidence. As we expand Caseware Cloud with advanced data analytics and AI-powered agentic capabilities, we are investing in a modern, scalable data platform that serves as the foundation for insight, automation, and trust.

As a Senior Software Developer - Data Engineer, you will play a key role in shaping and operating the data infrastructure that powers Caseware Cloud. You will design and build reliable data pipelines that move data from our transactional systems into analytics and AI-ready platforms, enable real-time and event-driven data flows, and support production-grade AI systems such as retrieval-augmented generation and agent orchestration.

In this role, you will take ownership of complex data engineering solutions end-to-end, influence architectural direction through technical leadership and proof-of-concepts, and help ensure our data and AI platforms are secure, scalable, and operationally excellent. You will collaborate closely with platform, AI, DevOps, and product teams to translate emerging technologies into durable capabilities that directly impact customers across Caseware's cloud ecosystem.

Location: This is a fully remote position located in Colombia.

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 and Gold-tier analytics tables, optimized for reliability, performance, and cost efficiency.
- Design and evolve data lake and lakehouse foundations, including storage layout, partitioning strategies, schema management, lineage tracking, data cataloging, versioning, and delta synchronization to ensure data is reliable, analytics-ready, and consumable through open table standards.
- Build and operate Apache Iceberg-based datasets and sharing patterns for external consumers, including row-level change data capture, incremental sync workflows, and companion change tables for downstream consumption.
- Implement consumer-facing data sharing capabilities using AWS-native catalog and access patterns, enabling secure integration with external analytics platforms and open ecosystem tools. 
- Design and operate orchestration workflows for batch publication, watermarking, dependency-aware release of shared datasets, and engine-agnostic processing across Athena and Glue.
- Apply data quality, validation, monitoring, and testing frameworks in production pipelines, ensuring governance, tenant isolation, access control, lineage, and security standards are met.
- Monitor, troubleshoot, and optimize data pipelines and lakehouse workflows for reliability, performance, scale, and cost, including query concurrency and compute-engine tradeoffs.
- Lead pragmatic platform evolution by defining clear data contracts, reducing coupling between systems, and improving operability and developer experience for data workflows.
- Provide technical mentorship to junior engineers through code reviews, pair programming, and collaborative solution design.
- Drive operational excellence by identifying recurring issues, eliminating root causes, improving system reliability, and participating in a production support rotation with thorough post-mortems and root cause analysis.

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-ready data lakes or lakehouse architectures.
- Experience designing and operating production-grade data systems for customerfacing SaaS applications with high availability, reliability, and operational rigor.
- Hands-on experience with modern table formats or lakehouse patterns, such as Apache Iceberg, including schema evolution, partitioning, versioning, and metadata-driven access.
- Experience building incremental data processing and CDC-style workflows, including watermarking, replay safety, and downstream synchronization patterns.
- Experience with AWS-native analytics and lake technologies, especially S3, Athena, Glue, Glue Catalog, and Lake Formation.
- Familiarity with distributed data processing and compute tradeoffs across serverless query engines and Spark-based pipelines.
- Experience implementing secure data access patterns, including tenant isolation, scoped credentials, role-based access, and governance controls.
- Experience enabling external or cross-platform consumption of data through open standards, shared catalogs, or interoperable data access patterns.
- 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 designing multi-tenant data sharing platforms or customer-facing analytics data products.
- Experience with orchestration using Step Functions and EventBridge.

The Tech Stack You'll Work With:

- Backend & Platform: Java (21+) Spring microservices, Python 3, AWS Lambda
- Data Lake & Table Formats: Amazon S3, Apache Iceberg, S3 Tables
- Data Processing & Query: AWS Athena, AWS Glue, Glue Spark
- Metadata & Catalog: AWS Glue Data Catalog, Glue Iceberg REST Catalog
- Governance & Security: AWS Lake Formation, IAM, STS
- Orchestration & Control Plane: AWS Step Functions, Amazon EventBridge, DynamoDB
- Messaging & Integration: AWS SNS/SQS
- Developer Tooling: GitHub, GitHub Actions, Nx Monorepo, IntelliJ IDEA
- Collaboration: Atlassian Cloud (Jira/Confluence), Microsoft Teams, Outlook, Microsoft

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 a 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

What's in it for you:

1) Innovation is at our core. We work with cutting-edge technology in accounting and financial reporting, constantly pushing the boundaries to create impactful software solutions.
2) We are committed to a collaborative culture, where your ideas are valued, and knowledge sharing is encouraged within a supportive, inclusive team.
3) Work-life balance is important to us. We offer flexible work options, remote opportunities, and generous time-off policies to ensure a healthy work-life balance.
4) We offer competitive compensation, including a competitive salary and comprehensive benefits such as health insurance and retirement plans.
5) We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.
6) Recognition and rewards matter to us. We celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth.
7) We embrace global opportunities. Work on international projects and collaborate with a diverse, global team.