Sr Full Stack Engineer

Job Description

Strategic Imperative:

The Sr. Full Stack Engineer strengthens the organization’s technical foundation by designing and delivering scalable, resilient, future-ready systems that support growth, performance, and reliability at enterprise scale. This role turns architectural direction into practical engineering outcomes by contributing to platform modernization, microservices evolution, and event-driven architecture that accelerate innovation and improve operational stability. By championing sound engineering principles, consistent architecture, and high-quality implementation, the role reduces long-term technical risk and ensures technology investments stay aligned with business priorities. Just as importantly, this position elevates engineering culture through knowledge sharing, mentorship, and standards that enable teams and systems to scale sustainably. Ultimately, the Sr. Full Stack Engineer helps build technology that performs effectively today while remaining adaptable for tomorrow’s demands and opportunities.

Prodege

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

Primary Objectives

• Build and scale modern full-stack product experiences that are performant, reliable, and maintainable across web applications and supporting services.
• Translate architectural direction into high-quality execution by designing and implementing distributed systems aligned to enterprise standards and long-term platform strategy.
• Advance microservices and event-driven architecture to improve system scalability, decoupling, and speed of iteration.
• Ensure data integrity and performance at scale through strong relational modeling, query optimization, and disciplined data access patterns.
• Raise engineering quality and reduce technical risk through secure coding practices, code reviews, testing discipline, and strong technical documentation.
• Enable reliable delivery and operational excellence by improving CI/CD, deployment safety, observability, and performance tuning. Strengthen team capability and cross-functional execution by mentoring peers and collaborating effectively with Product, QA, DevOps, and Infrastructure.
  
  

• Design, develop, test, and maintain scalable full-stack applications using Golang and modern front-end frameworks/technologies.
• Architect, build, and evolve distributed microservices that align to enterprise architecture standards and enable reusable platform capabilities.
• Design, implement, and optimize relational data models, queries, and database structures to ensure performance, consistency, and scalability. Develop and operate event-driven services and workflows using Kafka (or similar streaming platforms) to support real-time processing and system decoupling.
• Partner in system architecture planning, technical design reviews, and governance processes to ensure consistency, maintainability, and alignment to long-term direction.
• Enforce and model engineering standards including code quality, security best practices, privacy/compliance requirements, and clean API/service contracts.
• Perform thorough peer code reviews, share feedback, and mentor engineers to strengthen craftsmanship, consistency, and team capability.
• Collaborate with Product, QA, DevOps, Infrastructure, and other stakeholders to clarify requirements, plan delivery, and resolve cross-functional dependencies.
• Identify performance and scalability constraints; implement profiling, tuning, and optimization across application, service, and database layers.
• Improve and support CI/CD pipelines and deployment automation, increasing delivery velocity while maintaining quality and release safety.
• Establish and enhance observability (logging, metrics, tracing), contribute to incident learnings/root-cause analysis, and implement reliability improvements.
• Create and maintain technical documentation for systems, APIs, runbooks, and architecture decisions to support maintainability and knowledge transfer.
• Ability to apply AI and machine learning tools responsibly in support of predictive modeling, analysis, experimentation, and solution development, including validating outputs, documenting assumptions, and adhering to company security and confidentiality standards.
  
  

• Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Four or more (4+) years of experience in a full stack engineering or related role with two or more yeast (2+) years experience in Golang and Microservices.
• Strong expertise in relational database systems (e.g., PostgreSQL, MySQL, SQL Server)
• Demonstrated experience designing microservices architectures
• Experience with Kafka or comparable distributed messaging/streaming platforms
• Strong understanding of RESTful APIs and service-oriented architecture
• Experience with cloud infrastructure (AWS, Azure, or GCP)
• Familiarity with containerized environments (Docker; Kubernetes preferred)
• Proficiency with Git-based version control workflows
• Strong analytical and troubleshooting skills with the ability to resolve complex infrastructure issues.
• Excellent verbal and written communication skills, with the ability to convey technical information clearly to both technical and non-technical stakeholders.
  
  

• Experience with large-scale distributed systems
• Knowledge of event sourcing and CQRS patterns
• Exposure to frontend frameworks (React, Angular, Vue)
• Experience with Infrastructure as Code (Terraform or equivalent)
• Familiarity with observability platforms (Prometheus, Grafana, ELK stack)
• Experience working in regulated or enterprise compliance environments
• Prior experience in mentoring or technical leadership roles
• Usage of AI (Github Copilot/Claude Code, etc.)