[Hiring] Senior Software Developer @MindBridge Analytics

Role Description

The Senior Software Developer is a hands-on senior individual contributor who leads complex technical work in their product area in MindBridge. You design and deliver capabilities for secure, scalable financial intelligence spanning data ingestion and analytics, enterprise integrations, business insights, AI-assisted workflows, and the infrastructure patterns that support reliable customer outcomes.

This role emphasizes execution and subsystem-level ownership within established architectural direction not platform-wide architecture or roadmap definition, which sit with our Platform Architect and engineering leadership.

In this role, you will:

• Own technical delivery and subsystem-level design for initiatives spanning services, data pipelines, APIs, analytical workloads, AI/agent services, and cloud infrastructure.
• Help shape standards and technical decisions that affect multiple teams, working within broader architectural strategy.
• Provide hands-on technical solutions on ambiguous, high-stakes engineering problems—decomposing requirements, driving design and implementation, mentoring engineers, and improving how we run systems in production.
• Partner with Product, Data Science, UX/Design, Security, Infrastructure, Implementation/Professional Services, and other customer-facing teams to ship capabilities that matter to finance, audit, and enterprise customers.

Qualifications

• 5+ years of professional software engineering experience, including significant experience building and operating enterprise SaaS, data-intensive, or large-scale distributed systems.
• Demonstrated Senior-level technical solutions: implementing ambiguous team initiatives, influencing without formal authority, and owning outcomes across multiple subsystems or architectural layers.
• Strong experience designing secure, reliable, multi-tenant SaaS systems with attention to data isolation, access control, auditability, scalability, and operational supportability.
• Hands-on experience with data-intensive systems, such as ingestion pipelines, ETL/ELT, batch or streaming processing, analytical workflows, data validation, and warehouse/lakehouse integrations.
• Strong fundamentals in API design, service integration, data modeling, performance optimization, asynchronous processing, and distributed systems trade-offs.
• Working knowledge of production AI/ML systems, prompt orchestration, RAG, or agent workflow patterns, and the ability to reason about latency, cost, quality, and governance trade-offs.
• Experience with relational and/or analytical database technologies and the ability to reason about schema design, query performance, storage patterns, and data lifecycle concerns.
• Working knowledge of cloud-native engineering practices, including cloud platforms, containerized workloads, CI/CD, infrastructure automation, observability, and production operations.
• Ability to collaborate effectively with Product, Data Science, UX/Design, Security, Infrastructure, Customer Success, and other stakeholders.
• Strong written and verbal communication skills, including the ability to explain architectural trade-offs to both technical and non-technical audiences.
• Experience working in Agile, cross-functional engineering environments.

Requirements

• Experience in fintech, audit, accounting, risk, compliance, or other regulated/high-trust enterprise environments.
• Proficiency with Java/Spring Boot, Python, or comparable backend/data engineering frameworks.
• Experience with Azure or Microsoft data-platform ecosystems, including Azure Data Factory, Microsoft Fabric, or Power BI integrations.
• Experience with Databricks, Snowflake, lakehouse architectures, Apache Iceberg, Delta Lake, or similar analytical storage and processing patterns.
• Experience building systems that support AI/ML workloads, LLM-assisted workflows, RAG systems, or agent applications where explainability, auditability, and governance matter.
• Experience with Infrastructure as Code, Kubernetes, observability platforms, SRE practices, and incident management.
• Familiarity with frontend architecture concerns such as React, design systems, and shared product capabilities.
• Experience designing customer-facing APIs, SDKs, developer tooling, or enterprise integration platforms.

Benefits

• Competitive Compensation and Equity
• Flexible Work – Hybrid or Remote
• Comprehensive health benefits and wellness programs
• Professional development opportunities
• Flexible Time Off
• Company Matched Retirement Plans
• Unplug and recharge - 4 company-wide digital detox days annually