Implementation Engineer (Full Stack)
$173.6k - $206kMonstro
Job Description
Job Description
About Monstro
Monstro is the operating system for governed financial intelligence. We build governance and intelligence infrastructure that enables artificial intelligence to operate safely, explainably, and at institutional scale.
We exist because the level of financial guidance historically available to a small group should be accessible to many more people. By combining AI with deep institutional infrastructure, we help financial institutions deliver more personalized, responsible, and life-changing financial support to millions of individuals. We're building mission-critical systems in a highly regulated domain, and we care deeply about doing it right. If you're motivated by meaningful problems, high standards, and shaping infrastructure that improves financial outcomes, you'll feel at home here. About the RoleWe are looking for a Senior Implementation Engineer (backend focus) . You will be part of the team that will be implementing our product to multiple global large financial institutions to integrate and scale the client-facing systems that power our platform. This role owns critical backend services that handle sensitive financial data, where reliability, security, and performance are essential to our clients.
What You'll Do Backend Engineering- Design, build, and maintain backend services that power Monstro's consumer experience
- Work with client IT teams to integrate Monstro backend services with client APIs and systems
- Build new APIs, integrations and data pipelines
- Architect systems that scale gracefully as our user base grows
- Identify bottlenecks and implement caching strategies (Redis, CDN, application-level caching)
- Optimize query performance and tune container-based applications
- Design for resilience with failover strategies, retry logic, and graceful degradation
- Containerize and orchestrate services using Docker and Kubernetes
- Collaborate with platform teams on infrastructure decisions
- Contribute to CI/CD pipelines and ensure smooth, reliable deployments
- Understand and work across the full SDLC, from local development through production observability
- Work with relational and NoSQL databases, partnering with data engineers on schema and data models
- Build integrations with banking systems, payment processors, and financial data providers
- Implement event-driven architectures and message queues where appropriate
- Build systems with security as a first-class concern, including authentication, authorization, encryption, and audit logging
- Ensure systems meet fintech regulatory and compliance requirements
- Guide and develop junior and mid-level engineers through code reviews, pairing sessions, and technical coaching
- Partner closely with frontend engineers, product managers, and designers to deliver cohesive features
- Participate in architectural discussions and incident response, contributing to a culture of continuous learning and technical excellence
- Monstro products are successfully integrated with client systems
- Backend systems reliably support a growing consumer user base with minimal incidents or regressions
- Sensitive financial data is handled securely, correctly, and in compliance with regulatory requirements
- APIs and services are well-designed, performant, and easy for mobile and web clients to consume
- Infrastructure and deployment processes enable safe, frequent releases
- Junior and mid-level engineers are unblocked, supported, and improving through mentorship and collaboration
- Proven experience integrating a smaller-product SaaS into large enterprise environments (e.g., fintech startup integrating with major banks or card networks).
- Direct experience with open-banking style integrations — ideally FDX (preferred); otherwise experience with UK/EU open banking, or large financial integrations.
- Hands-on responsibility for building an integration layer that connects core product to client systems and APIs.
- Strong communicator who leads technical conversations, coordinates with client-side engineers, and takes ownership through delivery.
Core experience
- 7+ years professional software engineering experience.
- Strong proficiency in either Python, Go.
- Hands-on production experience with Docker and Kubernetes.
- Experience scaling and performance-tuning container-based applications.
- Solid understanding of the full SDLC and modern development toolchains (CI/CD, monitoring, logging, deployment automation).
- Familiarity with API design, microservices patterns, and distributed systems.
- Strong understanding of caching patterns and strategies.
- Test-driven development and test automation experience.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
Additional desirable experience
- Prior work at a software company that delivered integrations for large enterprise clients.
- Comfortable working directly with enterprise technical and non-technical stakeholders.
- Experience navigating security, compliance, and operational requirements for financial integrations.
- Experience documenting integration patterns, runbooks, and onboarding guides for clients.
- Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world.
- Experienced Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits.
- Principles-Driven Culture : Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45.
- Comprehensive Compensation Package : Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.
This role will be hybrid in-person 4 days a week in our Manhattan office.
**A note on hiring timeline: This role has an expected start date of mid-to-late July.**
Base Compensation Range (New York City): $173,600 - $206,000
*The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws.
A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background).
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