Mitratech

HQ
Bee Cave
Total Offices: 4
1,500 Total Employees
Year Founded: 2003

Jobs at Mitratech

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Recently posted jobs

8 Days AgoSaved
Remote
US
HR Tech • Legal Tech • Software • Consulting
Design, develop, and maintain scalable web services for a B2B SaaS application. Write tested code primarily in Go, manage PostgreSQL schemas and queries, and research AI-powered tools for software development and CI/CD optimization. Collaborate with product, design, and engineering teams to deliver user-focused solutions. Mentor engineers, promote best practices, and contribute to technical excellence.
One Month AgoSaved
Remote
US
HR Tech • Legal Tech • Software • Consulting
Owns month-end and year-end close activities, including journal entries, GL schedules, account reconciliations, financial reporting, variance analysis, and audit support. The role also supports M&A integration, technical accounting, policy maintenance, process improvement, internal controls, and ad hoc reporting across a multi-entity structure.
One Month AgoSaved
Remote
US
HR Tech • Legal Tech • Software • Consulting
Lead end-to-end AI product work across Mitratech's shared AI platform and customer experiences. Set strategy and roadmap, convert ambiguous problems into shipped, enterprise-grade features, partner with engineering and design, prioritize based on customer feedback, and represent products to senior stakeholders and customers.
One Month AgoSaved
Remote
US
HR Tech • Legal Tech • Software • Consulting
Provides technical leadership and architectural oversight for scalable AI-integrated software. Designs agentic AI systems, MCPs, APIs, RAG solutions, microservices, and prompt strategies; decomposes product goals into engineering tasks; reviews human- and AI-generated code; mentors distributed developers; and improves DevOps and CI/CD pipelines with AI-enhanced testing and reviews.
One Month AgoSaved
Remote
US
HR Tech • Legal Tech • Software • Consulting
Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.