Senior Developer

Inhabit Iq•Alpharetta, GA

3d•Onsite

About The Position

Join our Payments team to build the backend services that move money securely and accurately at scale. As a Senior Backend Engineer, you’ll design, build, and operate high-availability, integration-heavy systems where correctness, resiliency, and security are non-negotiable. As we modernize our platform, you’ll also help us apply AI thoughtfully using automation and machine learning (including LLM-powered workflows where it makes sense) to improve operational efficiency, developer productivity, and customer-facing payment experiences.

Requirements

Experience: 7+ years in professional software engineering (or equivalent depth), including 3+ years building and supporting production-critical, integration-heavy services.
Backend fundamentals: Strong service design skills across distributed systems (retries, timeouts, failure modes), C#, .NET framework, API design, and safe data/transaction handling.
Azure: Hands-on experience shipping services on Azure, including a solid grasp of networking (DNS/Firewall) and operational best practices.
Databases (SQL): Strong SQL skills, including schema design and performance tuning for reporting, reconciliation, or batch workloads.
Communication: Clear, structured written and verbal communication; able to explain tradeoffs and the “why” to technical and non-technical partners.
Applied AI/automation: Experience integrating AI capabilities (e.g., LLMs, intelligent automation, anomaly detection) into real systems, with attention to evaluation, security, and reliability

Nice To Haves

Reporting & ETL: Experience with reporting/template engines (e.g., Seal Reports) plus light ETL and batch processing patterns.
Event-driven architecture: Familiarity with messaging patterns such as: Webhooks, idempotency, and deduplication Retry strategies, backoff, and dead-letter queues (DLQs)

Responsibilities

System design & delivery: Architect and build backend services that protect transaction integrity (idempotency, concurrency control, auditability) with clear, stable APIs.
Cloud operations (Azure): Deploy and operate services using containers and/or serverless patterns, with strong observability (logging, metrics, tracing), incident response, and cost awareness.
Data integrity: Own complex SQL workflows (transactions, reconciliation, reporting) and make pragmatic tradeoffs between latency, throughput, and correctness.
Engineering excellence: Raise the bar through high-quality pull requests, code reviews, testing, and secure-by-default design patterns.
Cross-functional collaboration: Partner with product, operations, risk/compliance, and other engineering teams to plan and communicate payment-impacting changes.
AI-enabled workflows: Identify and ship pragmatic AI/automation improvements (e.g., smarter triage, assisted debugging, anomaly detection) with appropriate controls and evaluation.