Shape and operate a scalable data platform that powers Caseware Cloud, integrating data workflows and AI capabilities to transform financial reporting processes.
Design, build, and operate reliable ETL/ELT and ingestion pipelines moving data from transactional systems into analytics/AI-ready platforms.
Improve end-to-end data-lake foundations: storage layout, partitioning, schema evolution/versioning, lineage, cataloging, and delta synchronization.
Build and operate event-driven data flows that power real-time integrations and AI agent orchestration.
Help scale retrieval workflows (vector storage/indexing, embedding pipelines, RAG-adjacent data flows) that support production-grade AI capabilities.
Strengthen reliability across services and pipelines: retries, backoff, DLQs, idempotency, reconciliation, and operational observability.
Lead pragmatic modernization: reduce accidental coupling between business logic and infrastructure, improve contracts, and make systems easier to run locally and operate in production.
Partner across Platform/AI/DevOps/Product; lead proof-of-concepts and translate results into durable platform capabilities.
Participate in an on-call rotation and drive post-incident improvements (post-mortems, root cause analysis, and prevention).
You’re a great fit if you sound like one of these profiles
Profile A (most common): Backend/platform engineer who is strong in JVM distributed systems and has shipped real data workflows (Spark/EMR/Glue exposure).
Profile B: Data engineer who has built pipelines and is comfortable owning services, async messaging semantics, and production operations—not only transformations.
Strong software engineering fundamentals: designing maintainable, testable systems and owning features end-to-end.
Production experience with distributed systems: async workflows, failure modes, retries, and eventual consistency.
Hands-on experience building and owning ETL/ELT pipelines, including ingestion from OLTP sources into a data lake.
Experience operating data systems in production: monitoring, incident response, and continuous improvement.
Cloud experience on AWS building production systems (not just using services): storage + messaging + orchestration.
Strong collaboration and communication; ability to mentor and raise engineering maturity through reviews and design discussions.
JVM-first data processing experience (Java/Kotlin/Scala) with Spark-based workloads.
Experience with schema evolution and data contracts (versioning strategies, backfills, compatibility).
Operational ownership of pipeline reliability: replay safety, DLQ patterns, reconciliation, lineage thinking.
IaC experience (CDK preferred; CloudFormation/Terraform acceptable).
JVM services (Java 21+ / Spring microservices) and some Python.
AWS: EKS, Lambda; storage/messaging/catalog primitives (S3, DynamoDB, SNS/SQS, Lake Formation, Glue Catalog).
Search/retrieval: OpenSearch Serverless and related vector storage/retrieval components.
Tooling: GitHub/GitHub Actions, Nx monorepo, Jira/Confluence.
Caseware is evolving Caseware Cloud to deliver intelligent, data-driven experiences—powering analytics, automation, and AI/agentic capabilities on top of a modern data platform.
This role is for someone who can bridge transactional backend systems and data-intensive distributed workflows. You’ll work on systems that combine:
APIs and domain services (microservices, relational modeling, service boundaries)
Asynchronous workflows (messaging, retries, idempotency, replay safety)
Distributed/batch data processing (Spark-based processing and lake patterns)
Cloud platform primitives (AWS orchestration and managed services)
AI-ready retrieval workflows (embedding + vector retrieval pipelines)
Improved reliability and operability of ingestion + async workflows (clearer idempotency/replay patterns, fewer recurring incidents).
Cleaner boundaries between orchestration/control-plane concerns and data-processing execution concerns.
Better observability across APIs, queues, workflows, and distributed jobs.
Clearer data contracts and more predictable schema evolution practices.
Tangible improvements in developer experience (local run, testing, reduced “environment-only” hacks).
Health Insurance
Prepaid Medicine, Life insurance and funeral assistance
Home Office Stipend
Upgrade Vacation
Upgrade vacation starting at 5 years of service
Paid Time Off
5 Personal Time Off days per year
CaseWare develops sophisticated software solutions tailored for accounting firms, corporations, and government entities. With a global reach and over 30 years of expertise, we empower users to optimize audits and financial reporting, transforming complex data into actionable insights.
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