Principal Engineer - India at Junipersquare

ABOUT JUNIPER SQUARE Our mission is to unlock the full potential of private markets. Privately owned assets like commercial real estate, private equity, and venture capital make up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and access to one of the most productive corners of our financial ecosystem. If you care about making the world a better place by making markets work better through technology – all while contributing as a member of a values-driven organization – we want to hear from you.  Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first [Upgrade to PRO to see link] operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. ABOUT YOUR ROLE As a Principal Engineer or Senior Techical Lead for Reporting, you’ll lead the squad that builds the backbone of Juniper Square’s financial and web reporting. You’ll help set the private-markets standard for customizable, actionable reporting—letting users pull any data, from anywhere, place it anywhere, in any format, and generate insights that drive decisions. We integrate diverse data sources to deliver intuitive, dynamic reporting experiences. This is a critical, hands-on role for a player-coach who improves systems, automates reporting workflows, enjoys working with financial data, and boosts operational efficiency. You’ll own technical direction and architecture, solve complex problems alongside your engineers, and provide strong mentorship while actively coding and contributing to design. WHAT YOU’LL DO - AI-Native Culture & Velocity: Champion and embed AI-native development practices and tools (e.g., Cursor, Augment) to achieve significant productivity gains, fostering a "startup-mode" culture of rapid iteration, high velocity, and quality, including guiding the effective use of AI code generation. - Technical Ownership & Architecture: Take ownership over the team's architecture, actively participating in design reviews and driving the long-term technical vision. Identify and promote software best practices to improve team effectiveness. - Individual Coding Contribution: Take ownership of team code, and actively participate in coding, testing and delivering roadmap projects. - Workflow Automation & AI Integration: Lead the team in designing and implementing robust workflow automation solutions. Identify opportunities to leverage AI and modern tooling to increase the efficiency and scalability of internal systems. - Execution & Project Management: Effectively manage the team's short-term roadmap (spanning the next two quarters), actively identifying risks and creating clear mitigation strategies to ensure successful project delivery. - Team Leadership & Mentorship: Lead and mentor a team of engineers, fostering their technical and professional growth. Ensure high quality in team deliverables through guidance and hands-on code reviews. - Cross-Functional Collaboration: Partner effectively with cross-functional business stakeholders (such as Product, Customer support and other eng teams) to understand their needs and deliver impactful solutions. Handle most cross-team conflicts and decisions autonomously. - Operational Excellence: Take ownership of monitoring, diagnosing, and resolving production issues within the team's services. Establish and promote strong operational practices for the services your team owns. - Hiring & Team Building: Partner with recruiting to build and grow the team. Own the final hiring decision and be responsible for the team-level organizational design to accomplish team goals. - Technical Leadership & Execution: Provide strong technical leadership for one or more AI squads, guiding architectural decisions, driving the execution of AI projects from vision to delivery, and actively contributing hands-on ("vibe-coding") to prototype, unblock complex challenges, and set technical standards. QUALIFICATIONS - Bachelor's degree in Computer Science or a related field. - Extensive experience with Python as a language - 12-15+ years of experience demonstrating a trajectory of increasing technical leadership, architectural responsibility, and mentorship. - Proven experience in software engineering with significant hands-on technical contributions, including experience in system design, architecture, and leading technical initiatives. - Demonstrable product focus and a keen understanding of how technology can solve customer problems and drive business outcomes. - Highly self-driven, with a proactive approach to leadership, technical problem-solving, and initiative execution. - Experience or strong interest in workflow automation, systems integration, and leveraging AI/ML tools to improve internal processes. - Experience working in agile development environments and familiarity with practices that promote rapid iteration and velocity. - Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders and align them on product goals. - A strong "player-coach" mindset, with a proven ability and willingness to be hands-on with code, design, and architecture when necessary to lead by example and unblock your team. - Enthusiasm for adopting and driving the use of AI-native development tools and methodologies (e.g., Cursor, Augment, Lovable.ai [Upgrade to PRO to see link] - Ability to manage multiple priorities and lead teams effectively in a fast-paced, innovative environment. - Deep understanding of service-oriented architecture, modern software development practices, and developing scalable, reliable systems. - Prior experience in a formal engineering management role is a plus, but strong experience as a Tech Lead or a similar role with significant technical leadership, architectural responsibility, and mentorship responsibilities is highly valued.