Role Description We're hiring an Engineering Manager to lead a team of backend/full-stack engineers building and operating production systems at real scale. You'll own delivery end to end — from technical strategy through execution — while staying hands-on enough to review code, unblock your team, and contribute when it matters. This is a role for someone who wants to keep growing as both a technical leader and a people leader, in a company that's genuinely figuring out how to use AI well, not just talking about it. - Lead a team of engineers building and operating production systems — owning delivery, quality, and cost. - Shape technical strategy in collaboration with your team and other leaders, balancing long-term architecture with near-term pragmatism. - Drive projects end to end: scoping, sequencing, estimation, execution, and post-launch ownership. - Set the engineering bar for your team — code review culture, testing discipline, observability, security, and responsible AI use. - Hire, develop, and retain strong engineers; give them work that stretches them and feedback that lands. - Set a clear technical direction and help your team understand not just what you're building, but why. - Represent your team's work through clear written updates and well-run forums. - Help define what "good" AI-assisted engineering looks like on your team — and coach others toward it. Qualifications - 6–9 years of experience building production software, including roughly 2+ years directly managing engineers (not just a tech lead role). - A track record of shipping non-trivial systems end to end and operating them in production at meaningful scale. - Real, hands-on experience using AI tools to improve how you and your team build software — you can speak to what works, what doesn't, and why, with genuine enthusiasm. - Experience hiring engineers and raising a team's bar over time, including handling underperformance. - Clear, structured written and verbal communication — comfortable working async with a distributed team. Requirements - Experience in fintech, lending, payments, KYC, or credit underwriting. - Familiarity with Ruby on Rails — or strong backend fundamentals in Java, Python, or Node.js with the appetite to ramp up quickly. - Experience working across systems of meaningfully different scale or complexity. - Prior experience at both smaller, fast-moving teams and larger, process-mature organizations. Benefits - Competitive compensation, plus equity. - 100% remote — work from anywhere in India. - Fully paid group medical and personal accident insurance. - Generous paid time off plus public holidays. - Fully paid parental leave: 12 weeks for fathers/non-birthing parents, 26 weeks statutory maternity leave. - Monthly WFH stipend plus a one-time home office setup budget. - $500 annual professional development budget. - Quarterly social meet-ups and sponsored monthly team lunches.

• Lead engineering teams responsible for data ingress, pipelines, datalake adoption, Data APIs, permissions, and data access interfaces. • Own execution and technical direction across Rockerbox’s data foundation and customer-facing data access layers. • Ensure reliable, timely, and scalable client data delivery. • Align ingestion, aggregation, API access, permissions, and AI-enabled data workflows under clear ownership. • Partner with Product, Applications, Integrations, Data Science, Customer Success, and DV stakeholders on platform strategy. • Enable internal teams and customers to access Rockerbox data through APIs, CLI tooling, and future agentic workflows. • Improve team efficiency through automation, reduced maintenance burden, and clearer ownership. • Manage, develop, and retain engineers through a period of organizational transition. • Reduce bottlenecks between Data, Applications, and customer-facing product development.

• Lead, coach, and support a team of engineers through regular 1:1s, feedback, career development, goal setting, performance management, and growth planning. • Partner closely with Product, Design, Engineering leads, and other cross functional leads to shape priorities, clarify scope, manage tradeoffs, and deliver valuable payments capabilities to our customers. • Create clarity around ownership, priorities, technical direction, and team standards so the team can execute with focus, accountability, and strong delivery expectations. • Help the team break down complex payments work into clear plans with responsible sequencing, risk management, and realistic delivery expectations. • Contribute directly as a senior engineer in targeted ways, including designing, implementing, reviewing, and supporting backend services, APIs, event-driven workflows, data models, and payment integrations. • Guide technical decision making across APIs, services, event streams, third party payment provider integrations, observability, reliability, and operational workflows. • Raise the quality and reliability bar for owned systems through strong engineering practices, automated testing, code reviews, monitoring, documentation, on-call participation, and incident response. • Encourage responsible use of modern engineering tools, including AI-assisted workflows where they improve quality, developer experience, and delivery.

• Monitor daily service operations, ensuring adherence to SLAs and high-quality standards. • Project management, ensuring timely delivery of security solution deployments. • Develop strategies to enhance operational efficiency and customer satisfaction. • Lead and support a team of engineers and specialists, promoting a culture of excellence and continuous improvement. • Conduct performance evaluations, identify training needs, and facilitate professional development opportunities. • Ensure optimal staffing levels and shift coverage to meet service demands across all managed teams. • Continuously assess and refine operational processes to increase efficiency and effectiveness. • Implement and advocate for ITIL best practices within the security engineering team. • Drive initiatives to standardize security engineering procedures and documentation. • Compile and analyze service performance data to identify trends, areas for improvement, and achievements. • Prepare and present regular reports on team performance, service issues, and resolution metrics. • Use data-driven insights to guide operational decisions and improvements. • Serve as additional escalation point of contact for client communications related to service delivery and operational issues in support of team leads. • Foster strong relationships with clients, ensuring open lines of communication and satisfaction with service outcomes. • Collaborate with clients to understand their service needs and adjust operational processes accordingly.