Senior Software Engineer - Managed Services

• Design, develop, test, and maintain software and automation solutions that improve the operation and support of Managed Services applications and platforms.
• Serve as a subject matter expert and senior technical escalation for assigned Managed Services applications, developing deep knowledge of application architecture, integrations, APIs, data flows, dependencies, configurations, and operational processes.
• Design and build automation using Python, Ansible, APIs, Go, and other appropriate technologies to reduce manual effort, improve consistency, and enable operational teams to work more efficiently.
• Build and maintain integrations between Managed Services applications, customer environments, enterprise systems, third-party platforms, and supporting services.
• Develop APIs, backend services, scripts, utilities, and reusable automation frameworks that support Managed Services operations.
• Identify repetitive or error-prone processes and convert them into scalable, supportable, and maintainable automation.
• Partner with SRE and operational teams to identify recurring support issues and develop software or automation solutions that address underlying causes.
• Troubleshoot complex application and integration issues across APIs, databases, messaging systems, networking, authentication, certificates, and third-party platforms.
• Participate in application upgrades, platform migrations, lifecycle management, and integration changes while ensuring compatibility and operational readiness.
• Develop automated tests and validation processes to improve release quality and reduce production defects.
• Build and maintain CI/CD pipelines supporting application and automation development.
• Participate in design reviews, code reviews, architecture discussions, and technical planning.
• Establish and promote application development and automation standards, reusable patterns, coding practices, and engineering best practices.
• Maintain technical documentation covering application architecture, integrations, automation, troubleshooting, and support procedures.
• Support the transition to AI-enabled SDLC practices that improve development velocity, quality, automation, and engineering efficiency. Identify technical debt and advocate for improvements based on operational impact, supportability, security, and business value.
• Mentor engineers and other technical team members, helping develop their application knowledge, software engineering skills, automation capabilities, and troubleshooting skills.
• Communicate technical designs, risks, tradeoffs, and recommendations clearly to technical and non-technical stakeholders.

What We Expect of You

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field and 7+ years of software engineering, application development, automation engineering, or related professional experience; or 10+ years of equivalent professional experience.
• 5+ years of professional software development or automation development experience.
• Strong proficiency with Python for application development, automation, integrations, APIs, and operational tooling.
• Strong experience developing and maintaining Ansible automation, including reusable solutions supporting enterprise environments.
• Experience designing, developing, and supporting REST APIs, application integrations, and service-to-service communications.
• Experience supporting enterprise applications throughout their lifecycle, including development, testing, deployment, troubleshooting, upgrades, and production support.
• Expertise with Git-based source control, code review, automated testing, and CI/CD pipelines.
• Expertise working with Linux-based application environments.
• Demonstrated ability to become a technical subject matter expert for complex enterprise applications and platforms.
• Experience troubleshooting distributed applications and integrations across application, database, network, authentication, and infrastructure boundaries.
• Experience working with relational and non-relational databases (such as PostgreSQL, MySQL, or MongoDB) and troubleshooting issues where an application cannot connect to, query, or get the right data from its database.
• Working knowledge of Docker, Kubernetes, and containerized application environments.
• Experience with Microsoft Azure, AWS, or comparable cloud platforms.
• Experience with HashiCorp Vault or comparable secrets-management platforms.
• Demonstrated experience translating operational or business requirements into technical solutions.
• Experience providing technical guidance, reviewing the work of other engineers, and mentoring less-experienced engineers.
• Strong analytical, troubleshooting, problem-solving, written communication, and verbal communication skills.
• Ability to independently drive technical work while collaborating across development, SRE, operations, infrastructure, security, and business teams.
• Experience supporting enterprise-scale Managed Services applications or platforms, is a plus.
• Experience with Java and Spring Boot application development and support, is a plus.
• Experience developing or supporting REST and SOAP web services, is a plus.
• Experience with enterprise messaging technologies and event-driven application architectures, is a plus.

CDW is committed to being an AI-fluent organization

• We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools.
• We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI.
• Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making.
• You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.
• Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants.
• During our application process, our goal is to understand your experience, strengths, skills, and qualifications.
• As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating.
• We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible.
• We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.