Software Engineer I

Maritz•Fenton, MO

22h•Hybrid

About The Position

Where Human Connection Fuels Possibility 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 I supports the development of software that serves Maritz technology, working closely with and under the guidance of fellow engineers on the team. In this role, you will help build and maintain application features and services, with growing exposure to AI-assisted engineering practices. What You'll Be Doing We are looking for an entry level engineer who is eager to learn and build strong technical foundations. You will work alongside senior engineers across codebases, cloud platforms, and engineering toolchains, contributing to project execution under guidance. The ideal candidate brings foundational knowledge in systems or software engineering and curiosity toward emerging technologies, including AI-driven tooling. 80% — Software Engineering Project Support Performs routine to moderately complex development work across a variety of environments, with support from senior engineers on more complex or nonroutine tasks. Uses AI-assisted coding tools (e.g., GitHub Copilot, Claude) to accelerate development and improve code quality and throughput. Participates in code reviews of peers' work — including AI-generated code — to help ensure quality, security, and adherence to standards. Actively participates in and helps facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). Seeks guidance from senior engineers on effective, responsible adoption of AI-assisted development tools. Supports efforts to apply AI and automation to improve deployment frequency and increase system reliability. 20% — Problem Solving & Operational Reliability Assists with resolving service interruptions and contributes to root cause analysis during post-mortems under the guidance of senior engineers. Helps identify trends, anomalies, and failure patterns; recommends solutions with input from senior team members. Actively participates in a culture of continuous improvement, learning, and operational excellence within the team. Supports cross-functional teams during major incidents, helping ensure clear communication and timely updates throughout the lifecycle of an event.

Requirements

Bachelor’s degree in a technology-related field, or equivalent practical experience demonstrating the required skills.
1 -2 years of relevant experience; internships, co-ops, and academic or personal projects will be considered.
Foundational knowledge of web application frameworks, object-oriented languages, functional programming techniques, design patterns, and secure coding practices, gained through coursework, internships, or professional experience.
Exposure to building web applications or web-services, preferably REST
Basic familiarity with relational and/or NoSQL databases and core concepts such as ACID transactions, data retrieval, search, and persistence paradigms.
Developing triage skills, with the ability to assist in root cause analysis under guidance.
Basic exposure to at least one major cloud platform (AWS, GCP, or OCI).
Growing 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.
Growing ability to evaluate AI-generated code and configurations for correctness, security, and performance, with support from senior engineers.
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.

Nice To Haves

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

Responsibilities

Performs routine to moderately complex development work across a variety of environments, with support from senior engineers on more complex or nonroutine tasks.
Uses AI-assisted coding tools (e.g., GitHub Copilot, Claude) to accelerate development and improve code quality and throughput.
Participates in code reviews of peers' work — including AI-generated code — to help ensure quality, security, and adherence to standards.
Actively participates in and helps facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
Seeks guidance from senior engineers on effective, responsible adoption of AI-assisted development tools.
Supports efforts to apply AI and automation to improve deployment frequency and increase system reliability.
Assists with resolving service interruptions and contributes to root cause analysis during post-mortems under the guidance of senior engineers.
Helps identify trends, anomalies, and failure patterns; recommends solutions with input from senior team members.
Actively participates in a culture of continuous improvement, learning, and operational excellence within the team.
Supports cross-functional teams during major incidents, helping ensure clear communication and timely updates throughout the lifecycle of an event.