New Grad - 2027 - Platform Engineering

Job Overview: 

LPL Financial is seeking a motivated and technology-driven Platform Engineer new grad to help build, automate, and enhance the enterprise platforms that power our advisor-facing applications, data systems, and internal technology services. This role offers hands-on experience with modern cloud technologies, infrastructure automation, platform engineering, and operational excellence practices that enable secure, scalable, and reliable solutions across the organization. This role will work alongside experienced engineers to support cloud environments, improve developer productivity, and contribute to the resiliency and performance of enterprise platforms. The ideal candidate is experienced, analytical, and eager to learn how cloud infrastructure, automation, and platform services come together to deliver exceptional experiences for both advisors and internal users. 

Responsibilities: 

• Collaborate with engineering teams to improve the scalability, reliability, and performance of cloud and platform services. 

• Assist in the implementation and maintenance of Infrastructure as Code (IaC) solutions to standardize and automate technology environments. 

• Support cloud operations and platform engineering initiatives focused on availability, resilience, and operational efficiency. 

• Participate in monitoring, observability, and incident response activities to help ensure platform health and reliability. 

• Contribute to security, governance, risk, and compliance initiatives across cloud and infrastructure ecosystems. 

• Assist with CI/CD pipeline enhancements and automation efforts that improve software delivery processes. 

• Document platform architectures, technical workflows, operational procedures, and engineering standards. 

• Partner with cross-functional teams to troubleshoot issues and identify opportunities for continuous improvement. 

What are we looking for? 

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. 

Requirements: 

• Completed bachelor's or master’s degree in computer science, management information systems (MIS), software engineering or a related field. 

• Available to work from of LPL Financials' primary office locations 

Core Competencies: 

• Problem Solving – Analyze complex platforms, cloud, and operational challenges and develop practical solutions. 

• Systems Thinking – Understand how applications, infrastructure, data, and AI-enabled services work together to deliver business value. 

• Automation & AI Mindset – Leverage automation and emerging AI technologies to improve efficiency, scalability, and reliability. 

• Collaboration – Partner effectively with engineering, security, architecture, and operations teams. 

• Operational Excellence – Demonstrate attention to detail and commitment to secure, reliable, and scalable solutions. 

Preferences: 

• Previous internship experience within a large-scale enterprise environment 

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and modern infrastructure concepts. 

• Exposure to Infrastructure as Code, CI/CD pipelines, DevOps practices, and container technologies (e.g., Terraform, Docker, Kubernetes). 

• Basic programming or scripting experience in Python, PowerShell, Bash, Java, or similar languages. 

• Understanding of monitoring, observability, and operational best practices for cloud environments. 

• Interest in Generative AI technologies, AI-assisted development tools, or intelligent automation solutions through coursework, projects, or certifications 

Priority Application Date: September 21 at 11:59 PM PST    

PLEASE NOTE: This role follows a priority application approach. Candidates who apply by this date will receive priority consideration, and we anticipate that most hiring decisions will be made following the priority application date. Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis.    

Disclaimer for international students:     

• At this time, for our early career program positions, we’re unable to consider candidates who require sponsorship now or in the future. For other positions, within LPL it will depend on the specific position.    

• You will be responsible for obtaining and providing to LPL the required I-9 documentation as part of our onboarding process.    

• Positions offered are for full-time work at 40 hours per week.     

• Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.