Senior Software Engineer
About The Position
At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Support the development of internal AI enablement tools and platforms that help engineering teams adopt AI-native workflows. Assist in building and testing reusable templates, plugins, and automation that accelerate AI adoption across the organization. Contribute to developer experience improvements by evaluating AI tools, documenting best practices, and gathering feedback from engineering teams. Investigate and troubleshoot issues in AI-assisted development workflows through hands-on testing and analysis. Write documentation, playbooks, and onboarding guides that enable teams to get started with AI development tools quickly. Apply software engineering fundamentals to AI tooling projects, including version control, testing, and code review. Communicate progress regularly and surface blocking issues to maintain project momentum. Collaborate with senior engineers to learn AI engineering practices and contribute to the team's knowledge base. Help enable colleagues across the organization to adopt AI tools and workflows through demos, pairing sessions, and hands-on guidance.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or related technical field.
- 3+ years of experience in software development across multiple phases of the SDLC — from requirements and design through build, test, and deployment.
- Broad generalist mindset — comfortable working across frontend, backend, infrastructure, and DevOps as needed.
- Experience helping non-technical or less-technical teams adopt new tools and workflows.
- Demonstrated ability to create documentation, playbooks, and onboarding materials that drive adoption at scale.
- Familiarity with CI/CD pipelines, version control, and modern development practices.
- Strong communication and facilitation skills — comfortable running demos, workshops, and pairing sessions.
- Proven ability to work across teams and translate technical concepts for diverse audiences.
- Self-directed problem solver comfortable operating in fast-moving, ambiguous environments.
Nice To Haves
- Experience with AI-assisted development tools (GitHub Copilot, LLM APIs, agent frameworks) is a strong plus.
Responsibilities
- Support the development of internal AI enablement tools and platforms that help engineering teams adopt AI-native workflows.
- Assist in building and testing reusable templates, plugins, and automation that accelerate AI adoption across the organization.
- Contribute to developer experience improvements by evaluating AI tools, documenting best practices, and gathering feedback from engineering teams.
- Investigate and troubleshoot issues in AI-assisted development workflows through hands-on testing and analysis.
- Write documentation, playbooks, and onboarding guides that enable teams to get started with AI development tools quickly.
- Apply software engineering fundamentals to AI tooling projects, including version control, testing, and code review.
- Communicate progress regularly and surface blocking issues to maintain project momentum.
- Collaborate with senior engineers to learn AI engineering practices and contribute to the team's knowledge base.
- Help enable colleagues across the organization to adopt AI tools and workflows through demos, pairing sessions, and hands-on guidance.
Benefits
- Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
- Up to 16 weeks of fully paid parental leave and a baby stipend.
- Multiple medical plan options with mental health and wellness support offerings.
- 401(k) with company match and vesting after one year.
- $400 annual well-being stipend and tuition assistance up to $5,250.
- Recognition Rewards, Referral bonuses, exclusive discounts and more!
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What This Job Offers
Job Type
Full-time
Career Level
Senior
