Software Engineer---Integration Developer

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

• This Software Engineer independently designs, develops, tests and maintains complex integration services for Wealth Brokerage and Trust. The role focuses on reliable movement of business data and orchestration of transactions across applications, platforms and organizational boundaries.
• The engineer is expected to combine strong .NET/C#, SQL Server and Azure engineering with practical integration expertise across REST APIs, messaging, batch processing and managed file transfer. Python may be used where appropriate for data transformation, reconciliation, automation and engineering utilities.
• The role works with product, architecture, data, security, operations and vendor teams to ensure integrations are secure, observable, supportable and aligned with business and control requirements.

• Scope of responsibility
• •APIs and integration services supporting Brokerage and Trust client, adviser, operations, accounting, asset, cash, case and reporting processes.
• •Integration across .NET applications, SQL Server databases, Azure services, enterprise platforms, vendor systems and legacy environments.
• •Real-time, event-driven, scheduled and file-based data exchange, including validation, transformation, reconciliation and exception handling.
• •Production reliability, security, data protection, auditability, monitoring, capacity, disaster recovery and operational support.

• ESSENTIAL DUTIES AND RESPONSIBILITIES
• Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Design and develop secure REST APIs, integration services, background processes and reusable components using .NET and C#.

2. Create clear interface contracts, canonical data structures, validation rules, error models, idempotency controls and versioning approaches.

3. Implement data integration using SQL Server, stored procedures where appropriate, data access frameworks, Azure services, messaging, batch processes and SFTP or managed file transfer.

4. Use Python for targeted data transformation, reconciliation, automation, test utilities or operational tooling where it provides a sensible engineering fit.

5. Apply authentication, authorization, encryption, secrets management, certificate handling, network controls and least-privilege principles to integration designs.

6. Build robust error handling, retry, dead-letter, replay, correlation and reconciliation capabilities so failures are visible and recoverable.

7. Develop automated unit, component, contract, integration, performance and regression tests. Support test-data and service-virtualization approaches where dependencies are constrained.

8. Instrument integrations with structured logging, metrics, distributed tracing, dashboards and actionable alerting. Define operational runbooks and support procedures.

9. Partner with data owners and consumers to establish mappings, quality rules, lineage, retention and authoritative-source expectations.

10. Analyze and tune API, database, messaging and batch performance while accounting for throughput, latency, concurrency, capacity and downstream constraints.

11. Collaborate with architecture and platform teams on cloud migration, Azure PaaS patterns, network connectivity, deployment pipelines and reusable integration standards.

12. Troubleshoot complex defects and production incidents across application, API, database, identity, network and vendor boundaries. Complete root-cause analysis and corrective actions.

13. Participate throughout the software development lifecycle, including refinement, design reviews, coding, peer review, testing, deployment, release validation and production support.

14. Lead code and design reviews, mentor junior engineers and contribute patterns, libraries and documentation that improve integration delivery across Wealth Technology.

Technical and domain expectations

Area

Grade 111 expectation

.NET and C#

Advanced development of APIs, services, background workers and integration components using established design, dependency-injection, configuration and error-handling practices.

API engineering

RESTful design, OpenAPI contracts, versioning, pagination, idempotency, throttling, security, consumer compatibility and lifecycle management.

SQL Server

Data modelling, querying, performance tuning, transactions, reconciliation, data-quality controls and safe integration with application services.

Microsoft Azure

Practical use of approved Azure PaaS, API, messaging, identity, secrets, monitoring, storage and deployment capabilities appropriate to the solution.

Data integration

Mapping, transformation, validation, enrichment, lineage, reference data, batch orchestration and recoverable exception processing.

Messaging and events

Asynchronous integration, queues or topics, delivery semantics, correlation, ordering, replay and dead-letter handling.

Files and vendors

Secure SFTP or managed file transfer, encryption, naming and control totals, acknowledgements, reconciliation and vendor interface support.

Python

Targeted use for transformation, validation, reconciliation, automation, test harnesses and operational utilities, with production engineering controls.

Node.js and AWS

Working knowledge of Node.js services and AWS capabilities where required for vendor, cloud or integration patterns, including secure API development, serverless processing, event handling, monitoring and disciplined operational support.

DevSecOps

Source control, CI/CD, infrastructure and configuration discipline, automated testing, vulnerability remediation, observability and controlled release.

Wealth domain

Brokerage and Trust flows involving clients, accounts, assets, transactions, cash, positions, servicing, operations, oversight and reporting.

• Qualifications
• Required Qualifications
• 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.
• 1. Bachelor’s degree in computer science, Software Engineering, or related field with 5 years of relevant experience or equivalent education and training.
• 2. In-depth knowledge of information systems and ability to identify, apply, and implement IT best practices.

Preferred qualifications

Previous experience in Wealth, Brokerage, Trust, banking, financial services or another highly regulated industry.

Experience integrating third-party platforms using APIs, messaging, SFTP, batch files or vendor-specific interfaces.

Experience with Azure API Management, Functions, App Service, Service Bus, Key Vault, Monitor or equivalent approved enterprise capabilities.

Experience with Python, data reconciliation, observability, performance testing and automated contract testing.

Experience with low-code or workflow platforms as integration consumers or producers.

Microsoft Azure, .NET, API, data engineering or security certification.

Leadership behavior's and measures of success

Engineering ownership: independently moves work from design through production support and accepts accountability for op