7 senior platform engineer jobs found in Philadelphia

Primary Details Time Type: Full time Worker Type: Employee The purpose of this role is design, code, test, correct, and document complex programs and scripts based on agreed specifications and standards, in collaboration with software engineers to develop and integrate software solutions, and enhance existing systems to improve operational applications. Responsibilities : Document and demonstrate solutions clearly through various means. Deliver solutions that meet customers' needs effectively. Produce and review Technical Designs (TD), Impact Analysis (IA), and Problem Analysis Forms (PAF). Support the analysis of business requirements, and design and implementation of solutions. Provide support during testing, handover, and post-implementation. Ensure accuracy and timeliness of output and reporting. Identify and assess risks within your subject matter area, lead risk-related dialogue as the SME for that domain, and support stakeholders in...

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress. Job Title:  Director, Quality Engineering Location:  New York, NY / Philadelphia, PA / Atlanta, GA Department:  Starr Technology Group Overview: The Director, Quality Engineering plays a critical leadership role responsible for operationalizing and scaling Starr’s Quality Engineering (QE) strategy. This leadership position is tasked with leading the execution of QE methodologies, managing QE teams, and driving the maturity of automated and manual...

Job Responsibilities and Requirements The Manager of Data Engineering is responsible for leading a high-performing and inclusive team of data engineers within the Information Services department. This role oversees the technical vision, execution, and optimization of enterprise data solutions, ensuring robust, auditable, and compliant data pipelines and models. The manager collaborates across business units and IT stakeholders to drive impactful data initiatives, optimize processes, and support the organization’s financial and operational objectives.   Key Responsibilities: Lead, coach, and develop a team of data engineers, fostering technical and professional growth. Implement and execute a strategic technical vision for enterprise-wide data integration, modeling, and processing, encompassing all business subject areas such as policies, claims, billing, ratings, general ledger, and annuities. Design, build, and scale robust and compliant data pipelines and models,...

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Key Responsibilities: • Prompt Engineering: Create and optimise prompts to drive accurate...

Overview Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett’s Berkshire Hathaway group – one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.   Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company’s success is grounded in our core values:  accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!...

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....