Software Engineer II - Backend & Core Systems

Fisher Dynamics
St. Clair Shores, MI, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) A/B Testing Accounting Systems Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Audit Trail User Authentication Microsoft Azure C++ (Programming Language) Cloud Computing Cloud Engineering
+44 more
Databases Continuous Integration Data Architecture Data Governance Data Integrity Data Migration Data Security Data Structures Relational Databases DevOps Disaster Recovery Distributed Systems Fraud Prevention and Detection Python (Programming Language) Machine Learning Performance Tuning Role-Based Access Control Service Layer Software Engineering SQL Databases Systems Integration Transaction Data Web Application Frameworks Data Logging Google Cloud Software Modules System Availability Large Language Models Plex Backend Cloudformation Event Driven Architecture Containerization Core Data Kubernetes Information Technology Graphql Data Management Api Design Restful APIs Terraform Docker Web Api Golang

Job description

The SW Engineer - II (Backend & Core Systems) will architect and develop the financial and data backbone of Fisher Dynamics’ custom ERP platform from the ground up. They will design and build core ERP modules including General Ledger, Accounts Payable/Receivable, Financial Management, and master database architecture, while being the architect of these systems with AI-native capabilities embedded from the start - financial anomaly detection, fraud prevention, cash flow forecasting, and intelligent account reconciliation powered by LLMs. This position will work closely with ML/AI engineers to design APIs and data structures that seamlessly integrate intelligent features. They will also ensure the backend is robust, secure, performant, and positioned to support real-time AI-powered financial operations across the enterprise., * Financial Core Module Development

  • Design and develop General Ledger, Chart of Accounts, and journal entry processing systems with multi-entity support.
  • Build Accounts Payable and Accounts Receivable modules with payment workflows, aging analysis, and financial reconciliation.
  • Implement financial close and consolidation processes with audit trail and compliance requirements.
  • Develop reporting APIs and data structures for financial intelligence and analytics.
  • AI-Native Financial Intelligence Architecture
  • Design APIs and data structures that enable seamless embedding of AI/LLM models into financial workflows.
  • Build inference APIs for real-time financial anomaly detection, fraud scoring, and cash flow forecasting.
  • Implement feature export pipelines that feed ML models with financial transaction data and account hierarchies.
  • Design audit logging and compliance structures to support AI-powered financial recommendations and decisions.
  • Database Architecture & Core Data Management
  • Design normalized, scalable database schemas for financial, transactional, and master data.
  • Implement data integrity controls, foreign key relationships, and referential integrity for financial accuracy.
  • Optimize queries and indexing for high-volume financial transaction processing.
  • Build data migration pipelines to import legacy financial data from Plex.
  • Implement data governance, retention policies, and compliance controls.
  • Backend API & Service Layer
  • Develop RESTful and event-driven APIs that expose financial modules to frontends, integrations, and third-party systems.
  • Implement secure data access layers with role-based access control (RBAC) for different financial user types.
  • Build event streaming for real-time financial data updates and downstream AI model inference.
  • Ensure APIs handle complex financial rules, multi-entity operations, and transaction consistency.
  • Cloud Infrastructure & Deployment
  • Deploy financial systems on cloud infrastructure (AWS, GCP, Azure) with high availability and disaster recovery.
  • Build CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code.
  • Implement monitoring, logging, alerting, and performance optimization for financial systems.
  • Ensure compliance with financial security standards and SOX audit requirements.
  • Collaboration with AI/ML Engineers
  • Partner with ML/AI engineers to design APIs that connect financial models to ERP transactions.
  • Ensure financial data pipelines support real-time model inference for anomaly detection and forecasting.
  • Support A/B testing and validation of AI-powered financial features.
  • Translate AI model requirements into technical specifications and implementation

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.

Master’s degree preferred.

Experience

4-6 years of professional software engineering experience building production systems.

Demonstrated experience designing and developing financial systems, ERP platforms, or backend data architecture required. Experience with accounting systems, financial reporting, or compliance-driven applications strongly preferred.

Skills

Advanced proficiency in backend languages (Python, Java, C++, Go) and modern frameworks.

Expert-level SQL and relational database design, optimization, and performance tuning.

Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-native architecture.

API design and implementation (REST, GraphQL, event-driven architecture).

Containerization (Docker) and orchestration (Kubernetes) expertise.

CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps practices.

Understanding of distributed systems, transaction consistency, and high-availability architecture.

Knowledge of financial systems architecture, audit logging, and compliance requirements.

Security best practices, encryption, authentication, authorization, and SOX compliance.

Experience with monitoring, observability, logging, and incident response.

Familiarity with AI/ML model integration and real-time inference APIs.

Strong communication skills and ability to collaborate across teams.

Work Environment

Working environment and physical requirements of this position are those typical of an office setting and manufacturing environment. Position requires close collaboration with technical teams, business stakeholders, and cross-functional partners.

Physical Demands

Ability to lift 40lbs

Benefits & conditions

Pulled from the full job description Professional development assistance Tuition reimbursement 401(k) Health insurance 401(k) matching Paid time off Employee discount, * 401(k)

  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Employee discount
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Tuition reimbursement
  • Vision insurance

About the company

Fisher Dynamics is the automotive industry’s premier supplier of safety - critical seat structures and mechanisms. Steeped in a tradition of excellence, and rooted in automotive innovation, the Fisher story is filled with automotive manufacturing milestones. We bring design, engineering, and manufacturing vehicle seating systems to a new level with innovative thinking. We’re about cutting edge ideas. We have created an environment that encourages an uninterrupted flow of revolutionary concepts and unique ideas.

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