Software Engineer II

Maritz•Fenton, MO

5d•Hybrid

About The Position

At Maritz, decades of innovation and perseverance have built more than just a strong reputation — they’ve shaped a culture where human connection and collaboration are at the heart of everything we do. Joining Maritz means becoming part of a workplace grounded in a critical truth; people and their potential is our greatest resource. Maritz helps companies achieve their business goals by inspiring people to perform their best. We design experiences, incentives, and recognition programs that spark action and deliver measurable impact. And we’ve brought this human-first design inward – intentionally building teams that care for each other and collaborate powerfully. In our most recent employee survey, nearly 90% of respondents said that their managers care about their concerns and 82% said they feel genuinely appreciated. We know that when employees feel seen, supported, and celebrated for who they are, they thrive and so does our business. That’s why we’ve created a flexible, environment that empowers you to do your best work without sacrificing what matters most to you. In fact, in that same survey, nearly 90% of respondents said they have the flexibility they need to balance work and personal life and nearly 80% said Maritz does a great job prioritizing employee well being. We have a passion for excellence and genuine care for the people making it possible. We are building a cloud-native, AI-forward technology organization. The Software Engineer II contributes to the development and delivery of software that supports Maritz technology, working closely with fellow engineers on the team. In this role, you will build and maintain application features and services, with a strong emphasis on AI-assisted engineering practices. We are looking for a self-driven engineer who is energized by solving challenging technical problems and continuously improving how software is delivered and operated. You will work across codebases, cloud platforms and engineering toolchains, contributing to both project execution and operational reliability. The ideal candidate brings a foundation in systems or software engineering and a growth mindset toward emerging technologies, including AI-driven tooling.

Requirements

Experience developing and delivering software assets utilizing web application frameworks, object-oriented languages, functional programming techniques, design patterns, along with secure coding practices.
Experience developing scalable web applications, web-services, preferably REST
Familiarity with relational and/or NoSQL databases.
Solid understanding of core concepts such as ACID transactions, data retrieval, search, and persistence paradigms.
Strong triage skills — able to perform root cause analysis and make decisive calls under pressure.
Solid hands-on experience with at least one major cloud platform (AWS, GCP, or OCI).
Ability to interpret and apply security requirements across infrastructure and software systems.
Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude) to generate, review, and improve code.
Ability to critically evaluate AI-generated code and configurations for correctness, security, and performance.
Understanding of responsible AI use principles in an enterprise engineering context.
Proficient written and verbal communication skills, with the ability to engage both technical and non-technical audiences.
Bachelor’s degree in a technology-related field with 4-6 years of relevant experience. Equivalent practical experience demonstrating the required skills will be considered.

Nice To Haves

Cloud platform, or AI-related certifications are a plus.

Responsibilities

Performs a broad range of development work, including complex and nonroutine tasks, across a variety of environments.
Uses AI-assisted coding tools (e.g., GitHub Copilot, Claude) to accelerate development and improve code quality and throughput.
Conducts thorough code reviews of peers' work — including AI-generated code — to ensure quality, security, and adherence to standards.
Actively participates in and helps facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
Mentors others on effective, responsible adoption of AI-assisted development tools.
Identifies opportunities to apply AI and automation to improve deployment frequency and increase system reliability.
Responds to service interruptions and leads or contributes to root cause analysis during post-mortems.
Quickly identifies trends, anomalies, and failure patterns; recommends and implements workable solutions.
Champions a culture of continuous improvement, learning, and operational excellence within the team.
Collaborates with cross-functional teams during major incidents, ensuring clear communication, coordinated response, and timely stakeholder updates throughout the lifecycle of an event.