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Senior Software Engineer (.NET & AI) - WFH/Remote

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Senior Software Engineer (.NET & AI) - WFH/Remote

CoDev Philippines

Senior Software Engineer (.NET & AI) - WFH/Remote

Skills

SQL QueriesC#.NETPostgreSQLGitLabAIAWSGitHubGDPRAzure

11 hours ago

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Important information


Contract type:

Permanent

Work mode:

Remote

Published on:

27 October 2026

What they need


This is a fully remote role on PH night shift schedule (9 PM–6 AM) with work equipment provided.

ROLE OVERVIEW

We are looking for one senior engineer or above for a financial systems project focused on ledger, reconciliation, and banking platform integrations. The engineer must understand the financial consequences of design decisions and build systems that preserve accurate, auditable records under retries, concurrency, and partial failures.

The role requires .NET/C#, PostgreSQL, Azure, AI-enabled delivery using Claude Code, and hands-on AI/LLM or generative AI implementation experience. Ideally, candidates will bring 3–5 years or more of experience building financial applications.

ABOUT THE PROJECT

  • Build financial applications centered on ledger integrity, reconciliation workflows, and integration with banking and financial platforms.

  • Work within a Microsoft technology environment using PostgreSQL and Azure. The specific backend language and framework remain to be confirmed.

ABOUT THE ROLE

  • Translate financial rules into reliable services, own implementation and testing, and communicate technical decisions, progress, and blockers clearly.

  • Use Claude Code to accelerate delivery while remaining accountable for the correctness, security, and maintainability of all generated changes.

WHAT YOU'LL WORK ON

  • Ledger services. Design and build financial ledger services, transaction posting workflows, balance calculations, and reconciliation capabilities with clear accounting rules and traceable transaction histories.

  • Immutable records. Implement immutable financial records and controlled correction or reversal workflows that preserve the original transaction and its audit trail.

  • Idempotent processing. Build idempotent APIs, ingestion processes, and background jobs so retries, duplicate messages, and repeated requests do not create duplicate financial effects.

  • Concurrency and consistency. Prevent race conditions and inconsistent balances through appropriate transaction boundaries, isolation levels, locking, concurrency controls, and database constraints.

  • Monetary accuracy. Protect monetary accuracy through explicit decimal precision, scale, rounding, and serialization rules across application code, PostgreSQL, and external integrations.

  • Reconciliation solutions. Develop reconciliation workflows that match ledger records against banking or payment data, identify missing or duplicate transactions, investigate discrepancies, and support exception resolution.

  • Banking integrations. Integrate with banking and financial platforms through APIs, files, or event-driven interfaces, accounting for delayed data, partial failures, out-of-order events, and safe replay.

  • Azure operations. Build and operate PostgreSQL-backed services on Azure with monitoring, secure access, resilient processing, and actionable diagnostics.

  • AI-enabled delivery. Use Claude Code to support implementation, refactoring, debugging, and testing while independently reviewing generated code for correctness, security, and maintainability.

  • AI and LLM implementations. Implement AI/LLM or generative AI capabilities for suitable workflows, with evaluation, data protection, and human review where financial decisions or exceptions require oversight.

  • Requirements and validation. Partner with business and technical stakeholders to clarify financial rules, document design decisions, and test reconciliation, concurrency, recovery, and monetary edge cases.

TECHNICAL REQUIREMENTS

• Technology Stack: C#, .NET.

• Database: PostgreSQL — required.

• Cloud: Microsoft Azure or AWS — required.

• Financial systems: Ledger, reconciliation, banking integrations.

• AI implementations: AI/LLM and generative AI — required.

• Development tooling: Claude Code; AI-enabled delivery — required.

REQUIRED QUALIFICATIONS

  • At least 5 years of overall professional working experience.

  • Senior-level or higher engineering capability, with independent ownership of complex backend systems; ideally 3–5 years or more building financial applications.

  • C# and .NET backend development.

  • Practical experience with ledger or reconciliation solutions and banking or financial platform integrations, including transaction lifecycles and discrepancy resolution.

  • Deep understanding of immutability, idempotency, race conditions, auditability, and financial transaction consistency. Ability to prevent decimal precision loss and rounding errors.

  • Strong PostgreSQL skills covering schema design, SQL, transactions, isolation levels, locking, constraints, indexing, performance, and exact numeric data types.

  • Hands-on Azure experience developing, deploying, and supporting services, with secure configuration, access controls, monitoring, and production troubleshooting.

  • Experience delivering backend applications within a Microsoft technology environment.

  • Demonstrated AI-enabled delivery using coding assistants, with the ability to use Claude Code effectively and independently review, debug, and test generated code.

  • Hands-on implementation of AI/LLM or generative AI application features beyond coding-assistant usage, including API integration, output evaluation, failure handling, and data protection.

  • Strong testing skills covering monetary calculations, duplicate processing, concurrent transactions, reconciliation, integration failures, and recovery.

  • Clear written and spoken communication; ability to clarify financial requirements, document decisions, and communicate progress and blockers.

NICE TO HAVES

  • Experience with code versioning tools, such as GitHub or GitLab.

  • Double-entry accounting, subledgers, settlement, bank statement ingestion, or financial close processes.

  • Event-driven architectures, message queues, transactional outbox patterns, and replayable processing.

  • AI for reconciliation assistance, exception classification, or financial document processing with controlled validation and approval.

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