• The Software Development Engineer Intern will be part of an agile development team, building enterprise grade software systems. • Collaborate with other software engineers, business analysts and software architects to plan, design, develop, test, and maintain business applications. • Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans. • Design, develop, and test applications in accordance with established standards. • Collaborate and add value through participation in peer code reviews, providing comments and suggestions. • Assist with the packaging and support of the deployments. • Evaluate the competitive landscape and research Software Development trends as it relates to our business and future platforms. • Partner with our Product Owners and Development teams to ensure technical feasibility and flawless implementation. • Work with teammates in the migration of existing legacy code to current technologies and standards. • Develop, refine and tune systems. • Analyze and resolve technical and application problems. • Assess opportunities for application and process improvement. • Adhere to high-quality development principles while delivering solutions on-time and on-budget. • Provide third-level support to business users.

Role Description This role supports enterprise modernization and software engineering initiatives focused on improving operational reliability, scalability, automation, cloud adoption, and software delivery capabilities across critical business systems and services. We are seeking a Full Stack Developer to support the design, development, modernization, and operational sustainment of enterprise software platforms and cloud-based services. This role will focus on front-end and back-end application development, API engineering, cloud platform integration, CI/CD pipeline management, and modern software delivery practices. The ideal candidate has experience building enterprise-grade applications, modernizing legacy systems, supporting cloud-based infrastructure, and contributing across the full software development lifecycle. Key Responsibilities - Design, develop, and maintain user-facing applications and interfaces using modern front-end frameworks and technologies. - Build and maintain back-end services, APIs, and microservices using technologies such as Python, Java, Node.js, or similar frameworks. - Modernize legacy applications and services into scalable cloud-native or containerized architectures. - Develop integrations between enterprise applications, databases, and third-party services. - Build and maintain CI/CD pipelines supporting automated build, testing, deployment, and operational monitoring across multiple environments. - Support cloud infrastructure deployments and operational workflows across AWS, Azure, or hybrid enterprise environments. - Collaborate with data scientists in the development of advanced modeling technologies and systems. - Write clean, maintainable, secure, and well-documented code following software engineering best practices. - Participate in troubleshooting, root-cause analysis, and production support activities for operational systems. - Collaborate with cross-functional engineering, DevOps, cybersecurity, and infrastructure teams to support platform modernization initiatives. - Participate in Agile/Scrum development activities including sprint planning, technical reviews, code reviews, and backlog refinement. Qualifications - 3+ years of professional software engineering experience developing enterprise or production-grade applications. - Experience developing front-end applications using modern JavaScript frameworks such as React, Angular, or Vue. - Experience developing backend services and APIs using technologies such as Python, Java, or Node.js. - Experience working with RESTful APIs, distributed services, and microservice-based architectures. - Experience with SQL and relational database systems. - Experience with CI/CD pipeline development and automated deployment workflows. - Experience with containerization technologies such as Docker and container orchestration platforms. - Experience working with cloud platforms such as AWS or Azure. - Ability to obtain and maintain a U.S. Government security clearance and support Department of War teams. - Strong troubleshooting, debugging, and problem-solving skills. - Experience using source control systems such as Git. - Strong communication and collaboration skills in a team-oriented engineering environment. Desired - Experience modernizing legacy enterprise applications into cloud-native architectures. - Experience with AWS-native logging and monitoring services such as CloudWatch. - Familiarity with additional observability platforms such as ELK, Splunk, Grafana, or Prometheus. - Experience collaborating with data science teams to operationalize models and analytics pipelines. - Experience supporting highly available production systems and operational infrastructure. - Experience working in regulated, enterprise, or government environments. - Familiarity with Agile/Scrum software development methodologies. - Experience supporting scalable distributed systems and platform reliability initiatives. - Strong ownership mindset and ability to independently drive technical solutions. - Passion for software engineering, automation, DevOps, and platform modernization. - Ability to operate in fast-paced engineering environments with evolving technical requirements. - Strong analytical and systems-thinking capabilities. - Ability to balance operational reliability, scalability, maintainability, and delivery timelines. Education - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required. Security Clearance - Active Secret Clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Short Term & Long Term Disability - Training & Development - Wellness Resources - Stock Option Plan

• Drive end-to-end execution of large-scale, strategic initiatives that materially improve business outcomes (e.g., revenue, loss ratio, customer experience). • Align leaders and teams around high-value initiatives, ensuring clarity on priorities, tradeoffs, and expected impact. • Make and influence decisions on organizational structure, team topology, and resource allocation to enable successful execution of critical initiatives. • Set and guide priorities across multiple teams and domains, balancing short-term delivery with long-term scalability and resilience. • Lead cross-functional collaboration with Product, Data Science, and business stakeholders to translate strategy into coordinated execution. • Establish and evolve technical standards, architecture, and best practices that scale across the organization. • Communicate complex technical and strategic concepts to drive decision-making and alignment at the executive level. • Coach and influence engineering leaders and senior ICs, raising the organization’s ability to identify opportunities and deliver business impact at scale. • Coordinate with Staff Engineers across the organization to establish and evangelize standards and best practices.

• Build enterprise-grade API and integration solutions using Azure services (Azure Functions, Logic Apps, API Management, Service Bus, Event Grid). • Design, implement, and maintain RESTful APIs using C# (.NET/.NET Core), JSON, and API-first principles. • Utilize Azure Application Insights, Key Vault, and Storage Accounts to deliver secure, efficient integrations. • Develop and maintain CI/CD pipelines to enable automated deployments and faster delivery in a DevOps environment. • Work closely with architects, developers, and product teams to translate requirements into integration solutions. • Maintain integration observability and proactively resolve performance or reliability issues. • Contribute to modernization efforts by refactoring legacy integrations into API-first and event-driven architectures. • Support innovation initiatives, including deploying AI-powered decision support, task automation, and predictive operational insights at the base.