Principal Software Engineer – Platform Services

🕒 Maio 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $124.000 - $156.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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insightsoftware

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

☁️ SaaS

💸 Finanças

🏢 Corporativo

💰 $798.604.678 Private Equity Round - insightsoftware em 2021-07

SaaS • Finance • Enterprise

insightsoftware é um fornecedor de software de relatórios financeiros e operacionais e soluções de análise de dados para o Escritório do CFO. Sua plataforma habilitada em nuvem e conectores pré-construídos integram-se aos principais ERPs (Oracle, SAP, Microsoft e mais de 140 outros) para entregar relatórios financeiros, orçamento/planejamento, consolidação, gestão do ciclo de vida fiscal e de arrendamento, análises embutidas e ferramentas de automação. A empresa atende equipes de finanças, contabilidade e operações com recursos habilitados por IA, virtualização de dados e modelos prontos para uso, acelerando relatórios, planejamento e conformidade.

Descrição

• Own and evolve the platform's observability posture — structured logging, distributed tracing, health check endpoints, and correlation tracking — ensuring consistent adoption and coverage across all services. • Drive SLO/SLI definition and dashboard creation; expand alerting coverage from log-based alerts to include APM metrics, latency, and throughput. • Identify and eliminate reliability anti-patterns across the portfolio — replacing fragile legacy patterns with resilient, cloud-native alternatives. • Implement proper resilience patterns — circuit breakers, retry policies, graceful degradation, dead-letter handling, and idempotent message processing. • Replace legacy messaging anti-patterns (database polling, file-system coupling) with event-driven messaging infrastructure — this is the highest-impact reliability improvement available to the platform today. • Serve as the senior technical authority for the Platform Services portfolio — owning architecture, reliability, and engineering quality across a broad set of production services. • Assess the current state of the service portfolio, identify the highest-impact reliability and modernization opportunities, and build a sequenced roadmap in partnership with the Scalable Architecture Team and Engineering Manager. • Evaluate and recommend the right cloud-native Azure services and patterns for the platform's future state — this is an open architectural question you will help answer, not a predetermined path. • Own shared library and cross-cutting infrastructure used across the service portfolio; ensure consistent adoption of engineering standards across all services. • Ensure production stability across multiple independent deployment ecosystems throughout the modernization process. • Create and execute migration paths for legacy services across multiple .NET framework generations — prioritizing highest-risk services and sequencing work to minimize production disruption. • Partner with the Scalable Architecture Team to ensure modernization decisions align with the platform's long-term technical direction and emerging design patterns. • Evaluate and sequence modernization priorities across a diverse portfolio, balancing production stability with long-term architectural investment. • Write, review, and contribute production-quality code across the services portfolio — C#/.NET, Oracle SQL/PL/SQL, and cloud infrastructure patterns. • Debug complex issues that span service boundaries, database interactions, and cloud infrastructure. • Establish and enforce testing standards across the services portfolio — unit, integration, and resilience testing patterns. • Champion ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums. • Model an agentic development mindset — integrating AI tooling into your own daily workflow and actively coaching teammates to do the same. • Push the team beyond baseline AI adoption into workflows and practices that measurably improve delivery velocity and platform quality. • Stay current on agentic development tooling and bring forward-looking recommendations to the Engineering Manager and Sr Director. • Set the technical bar for the team — establishing coding standards, architectural patterns, and engineering practices across a large, diverse service portfolio. • Mentor engineers on cloud-native patterns, observability best practices, resilience engineering, and .NET modernization. • Contribute to cross-team technical forums alongside Principal Engineers, the Solution Architect, and Engineering Managers.

🎯 Requisitos

• 8+ years of hands-on software engineering experience in enterprise SaaS environments, with demonstrated experience as a Principal or Senior Principal Engineer. • Deep expertise in C# and .NET across framework generations — able to work fluently across legacy and modern .NET simultaneously, with a strong track record of migrating legacy services to modern .NET. • Hands-on Azure cloud architecture experience — with the ability to evaluate, recommend, and implement the right cloud-native services and patterns for a platform in active modernization. • Strong Oracle Database proficiency — complex SQL, stored procedures, and performance tuning at enterprise scale. • Demonstrated experience designing and implementing observability at scale — structured logging, distributed tracing, health check frameworks, and alerting strategies across large service portfolios. • Experience implementing resilience patterns — circuit breakers, retry policies, dead-letter handling, and idempotent message processing. • Experience replacing legacy messaging anti-patterns (database polling, file-system coupling) with event-driven messaging infrastructure. • Demonstrated experience owning and evolving shared internal library ecosystems that provide cross-cutting concerns across multiple services. • Experience re-platforming Windows Services or legacy hosted services to cloud-native or containerized workloads. • Demonstrated AI-first engineering mindset — hands-on experience with agentic development tooling and a track record of driving AI adoption within an engineering team. • Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

🏖️ Benefícios

• All your information will be kept confidential according to EEO guidelines. • Background checks are required for employment with insightsoftware, where permitted by country, state/province. • We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law.