Implementation Engineer – Full Stack

Role Overview

• 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
• 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

Requirements

• 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).

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Docker
• Google Cloud Platform
• Kubernetes
• Microservices
• NoSQL
• Python
• Redis
• SDLC
• Go

Benefits

• Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage.