Solovis

Deliver production features and modernization work across a Java, Python, and AWS stack using AI-augmented development with end-to-end production ownership. | 5-9 years software engineering experience with strong Java and Python fluency on AWS and at least 6 months using agentic tools like Claude Code or Cursor in production. | SENIOR AGENTIC SOFTWARE ENGINEER (JAVA)   Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence. Backed by Insight Partners, we're building the next chapter of growth by investing in people and product to raise the bar on quality and client outcomes. Our team is driven by a culture of disciplined execution, humility, and curiosity where AI is at the core of how we operate, innovate, and serve clients. At Solovis, you'll join a tech-forward, growth-minded team that believes in learning fast, thinking big, and delivering meaningful impact for asset owners worldwide. This is a production-focused engineering role for a senior Java developer who works agentically by default. You will deliver AI-augmented features, modernizations, and new capabilities across our Java/Python/AWS stack. You will also pair with existing engineers to transfer agentic working habits — not by lecturing, but by working together on real problems. KEY RESPONSIBILITIES * Deliver production features and modernization work across our Java/Python/AWS stack using AI-augmented development as your primary mode of authorship. * Pair with existing engineers to build agentic practice organically through working sessions on real deliverables, not classroom instruction. * Participate in AI-augmented PR reviews while contributing to pattern libraries and review checklists. * Own production systems end-to-end: ship real things, stay accountable when they break, and close the loop. * Bring concrete judgment about when to let an agent run and when to intervene — and share that judgment with the team. KEY QUALIFICATIONS * 5–9 years of professional software engineering experience. * Strong fluency in Java, with solid working knowledge of Python on AWS. This is a Java-specialized seat. * 6+ months of serious agentic tool use (Claude Code, Cursor, or equivalent) on production work, not pilots or side projects. * Production ownership history: you have shipped non-trivial systems and been on the hook when they broke. * At least one out-of-depth experience: a stack switch, domain change, or greenfield build in unfamiliar territory. You know what it feels like to be uncomfortable and productive at the same time. * The ability to catch non-obvious agent errors and concrete heuristics for when to trust output and when to verify. STRONG PLUS * Experience with financial services, institutional investment platforms, or other high-correctness, regulated software domains. * Familiarity with brownfield modernization: improving existing systems with agents rather than rewriting them. * Background integrating or reviewing work you did not personally author.   Interview Process We want this to be a great fit for both sides. After applying, you'll complete a short set of aptitude and personality assessments before connecting with a recruiter. Everyone goes through them, from interns to our CEO. The invitation will come from a member of our recruiting team — keep an eye on your inbox, and check your spam folder just in case.

Deliver full-stack features using agentic development and maintain production system reliability. | 5-9 years experience in Java, Python, or C# with production ownership and agentic tool experience. | Senior Software Engineer, Agentic Development Solovis builds portfolio management and analytics software for institutional investors: the endowments, foundations, family offices, and asset managers responsible for some of the most complex capital in the world. We are backed by Insight Partners and growing fast, investing in product, people, and the technology that drives client outcomes. We've made a company-wide commitment to be AI-native by end of 2025. Not a pilot program, not a future roadmap item — an active transformation already underway across every team. Engineering is at the center of it. We're building out our agentic development team and hiring engineers who are already working this way in production. If you've been ahead of your peers on this and want to be somewhere that matches your pace, this is worth a look.   The Role This is a hands-on engineering role. You own features end-to-end, ship production systems using agentic workflows as your default mode of work, and take genuine accountability for what you build — including when things break. You create your own momentum through strong requirements discipline, continuous validation of agent output, and a concrete understanding of when to push forward and when to stop and reset. Your stakeholders are sophisticated. They expect quality, reliability, and engineers who think beyond the ticket. The best engineers here earn that trust quickly and build systems that last.   What You'll Do * Deliver features and modernizations across our stack using agentic development end-to-end * Build and operate multi-agent workflows where distinct roles run in parallel and in coordination * Work in brownfield environments with the same discipline as greenfield builds * Validate agent output and know when to intervene — grounded in how well requirements were set upfront * Pair with existing engineers to transfer agentic working habits through real production work * Contribute consistently to sprint delivery and take ownership of quality over time   What We're Looking For Engineering Background * 5–9 years of professional software engineering experience * Strong fluency in Java or Python on AWS, or C# on Azure * Production ownership history: you've shipped non-trivial systems and been accountable when things went wrong * At least one significant out-of-depth experience — a stack switch, a domain change, or a greenfield build in unfamiliar territory Agentic Development Experience * 6+ months of serious, production-grade agentic tool use (Claude Code, Cursor, or equivalent) — production work only, not pilots or experiments * Demonstrated ability to build product with AI, not just use AI within existing workflows * Concrete understanding of when to let an agent run versus when to intervene, grounded in how well requirements were established before the work started * Experience reviewing and validating work you did not write, including agent-generated output * Familiarity with building multi-agent frameworks where distinct roles operate concurrently   Who Won't Thrive Here If you're looking for a role where the requirements are always airtight before work starts, agents are a nice-to-have, or someone else validates the output — this isn't it. This role requires comfort with ambiguity, genuine ownership over what you ship, and the discipline to know when to push forward and when to stop and reset. We're not a team that protects engineers from accountability. If a system breaks, you're in it. If an agent produced something wrong and it shipped, that's on you too. We operate more like a gym than a spa — growth here is intentional and sometimes uncomfortable, and that's exactly how we like it. If that's the environment where you do your best work, we want to talk.   Interview Process We want this to be a great fit for both sides. After applying, you'll complete a short set of aptitude and personality assessments before connecting with a recruiter. Everyone goes through them, from interns to our CEO. The invitation will come from a member of our recruiting team — keep an eye on your inbox, and check your spam folder just in case.

Maintain and enhance Azure cloud infrastructure ensuring availability, scalability, cost efficiency, and security compliance. | 5-6 years cloud engineering experience with Azure, Kubernetes, Python, and application development background preferred. | SENIOR CLOUD ENGINEER Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today’s complex global markets with clarity and confidence. Backed by Insight Partners, were building the next chapter of growth by investing in people and product to raise the bar on quality and client outcomes. Our team is driven by a culture of disciplined execution, humility, and curiosity where AI is at the core of how we operate, innovate, and serve clients. At Solovis, you'll join a tech-forward, growth-minded team that believes in learning fast, thinking big, and delivering meaningful impact for asset owners worldwide. The Senior Cloud Engineer will be instrumental in maintaining and enhancing our Azure cloud infrastructure. This role focuses on optimizing cloud operations to drive cost efficiency, ensure high performance, and maintain scalability and reliability of the company's services. The position will work closely with development and operations teams to automate processes, manage Azure resources, and ensure strict compliance with security standards.   KEY RESPONSIBILITIES * Maintain 99.9% availability for customer-facing hosted solutions, ensuring high reliability. * Reduce cloud operating costs consistently by utilizing automation and innovative tools. * Ensure scalability of systems without compromising on performance. * Achieve and maintain compliance with key security standards, such as ISO 27001. * Maintain a minimum of 90% CSAT rating with a 10% response rate for all cloud service-related cases.   EXPERIENCE * 5–6 years of experience in cloud engineering with a strong Azure focus.  * Python proficiency preferred * Developer background preferred - comfortable reading and writing application code * Kubernetes experience, ideally on AKS