Senior Software Developer – Data Analytics

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Caseware

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

☁️ SaaS

Finance • Enterprise • SaaS

Caseware is a global leader in providing software solutions for accounting, auditing, and financial reporting. Their products, such as Caseware Cloud and Caseware Working Papers, are designed to modernize accounting practices, streamline audits, and provide robust financial reporting tools for accounting firms, corporations, and government entities. Caseware is renowned for integrating advanced technologies, including AI-driven tools, to enhance efficiency and insight for its users. Their offerings are localized to meet regional standards and cater to diverse sectors, including public and private organizations. With a focus on transformation through technology, Caseware supports over 500,000 accounting professionals in more than 130 countries.

📋 Description

• Design and build key features and architectural improvements end-to-end — from technical discovery and system design through implementation, testing, and production support. • Write production code daily in critical services, pipelines, and frameworks, using modern cloud-native patterns and technologies. • Provide mentorship to the other developers on your team through design reviews, pair programming, and code reviews. • Build deep expertise in the technology and architecture powering the Data Analytics Platform and use that knowledge to drive sound technical decisions. • Collaborate with Product and Engineering to disambiguate requirements, surface technical uncertainty, and clearly communicate trade-offs and risks. • Champion engineering excellence by keeping trunk/master green, stable, and deployable through strong CI/CD, testing, and operational practices. • Coordinate with DevOps/CloudOps teams to ensure your squad has the tooling, infrastructure, and support needed to ship confidently. • Own production reliability for the systems your squad manages, driving continuous improvement through post-mortems and root cause analysis. • Provide 24/7 production support for the systems your team manages, driving continuous improvement in this area through post-mortems and root cause analysis.

🎯 Requirements

• 5+ years hands-on experience with Java 17+ (Spring Boot), microservice architecture, and developing enterprise SaaS applications on AWS. • Extensive experience building and evolving cloud-native, data analytics platforms in production. • Strong system design expertise, particularly in distributed systems, event-driven architectures, and large-scale data processing. • Deep knowledge of analytics workflows, with an eye toward performance and correctness. • An AI-native mindset — you instinctively reach for AI-powered tools and techniques as a first approach to problem-solving, planning, design, troubleshooting, code generation, debugging, and knowledge discovery. • Proven ability to influence architectural direction, drive alignment across teams, and lead initiatives beyond your immediate scope. • Comfort operating in ambiguity, with the ability to make sound technical decisions and clearly communicate risks and trade-offs.

🏖️ Benefits

• ¨Contrato a termino Indefinido¨ with all the legal benefits • Prepaid Medicine • Life insurance and funeral assistance • Internet allowance • Home office stipend • Competitive compensation — above the market average • 100% remote work environment and an excellent work-life balance • Opportunity to work for a growing global SaaS leader company • A culture that promotes independence, innovation, trust, and accountability • Open space to be creative, innovative and strategize for the future • Mentorship by highly experienced professional • Budget for training, we want you to grow • 5 Personal Time Off days per year • Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90. • Recognition Award, additional paid time off in recognition of the corresponding year of service • Upgrade vacation starting at 5 years of service • AI-first environment: Be part of an AI-first engineering organization that embraces modern tools, automation, and AI-driven ways of working.