Insurance Property Inspector
Conduct on-site inspections of homes and businesses to capture photographs and document key property features. Compile thorough underwriting survey reports to support informed risk evaluation.
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Conduct on-site inspections of homes and businesses to capture photographs and document key property features. Compile thorough underwriting survey reports to support informed risk evaluation.
The AI Systems Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, distributed training frameworks, and ensuring high reliability and efficiency for ML engineers.
The AI Infrastructure Engineer will focus on optimizing throughput, latency, and costs for large neural network training and inference workloads. They will collaborate with cross-functional teams to translate requirements into scalable solutions while mentoring junior engineers.
Design and develop enterprise integration solutions using the MuleSoft Anypoint Platform while managing the full API lifecycle. Collaborate with cross-functional teams to translate requirements into secure, scalable, and reusable integration assets.
The Kafka Platform Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent environments for mission-critical workloads. They will manage the platform end-to-end, including cluster configuration, security, automation, and observability while mentoring junior team members.
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The Application Architect will design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. This role involves partnering with business stakeholders and engineering leaders to translate strategic objectives into scalable and maintainable technology solutions.
The AI Security Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
Design and build high-throughput, latency-sensitive backend platform services and shared infrastructure. Develop durable event-processing pipelines and establish robust observability and capacity-planning practices.
Design and develop scalable, cloud-native backend services and APIs using Go. Implement performance optimizations, automation tools, and maintain technical documentation while collaborating with engineering teams.
Design, build, and operate scalable distributed backend systems and services, optimizing reliability, performance, cost, and data strategies. Lead architecture and incident response, improve observability and operational practices, mentor engineers, and contribute to platform strategy and technical documentation.
Design, build, and maintain robust Python services while owning the software lifecycle from development to production. Collaborate with cross-functional teams to solve complex problems and guide junior engineers in technical development.
Design, build, and maintain infrastructure-as-code foundations using Terraform for cloud and hybrid environments. Standardize infrastructure delivery across multiple teams while enforcing policy-as-code and hardening pipelines.
The Monitoring Engineer will design and operate metrics, logging, tracing, and alerting platforms to ensure system reliability. This role involves managing the full observability stack, from collection pipelines to actionable insights for engineering and business stakeholders.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure efficient performance by applying model compression, quantization, and hardware-aware optimization techniques.
The consultant will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support using the Boomi AtomSphere platform. They will collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Data Solutions Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will collaborate with cross-functional teams to deliver a scalable data foundation and set strategic standards for data modeling.
The Data Platform Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production. Responsibilities include managing request routing, batching, caching, autoscaling, and ensuring end-to-end observability across diverse model workloads.
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The engineer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities span the full engineering lifecycle, including requirements analysis, architectural design, implementation, deployment, and post-release support.
Lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. Manage architectural initiatives across multiple teams while ensuring system resilience, observability, and security.
Design, build, and optimize high-performance Go backend services, APIs, cloud-native applications, CLI tools, and Kubernetes controllers, with attention to concurrency, security, observability, and operational reliability. Lead code and design reviews, mentor engineers, contribute to shared Go tooling and libraries, and maintain technical and operational documentation.
The role involves designing and implementing low-latency trading, pricing, and risk systems while translating quantitative models into production-quality software. You will collaborate with quants and traders to build robust data pipelines and optimize critical-path code for high-performance fintech applications.
Build and operate large-scale data systems that support AI training and evaluation pipelines. Manage data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse data modalities.
The Prompt Engineering Architect will define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. This role involves building reusable design patterns and evaluation frameworks that scale across multiple teams and use cases.
The Oracle Security Specialist will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also lead vulnerability and compliance programs while collaborating with cross-functional teams to engineer secure solutions.
Design and develop advanced Java customizations within the Windchill platform, including services, listeners, and processors. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while providing mentorship and technical support.
Design and develop robust integrations between PTC Windchill and enterprise systems including ERP, MES, and CAD platforms. Provide post-go-live support, mentor junior engineers, and optimize integration performance to ensure system stability.
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The developer will design, develop, and support customizations and integrations for the Windchill PLM platform. They will also collaborate with cross-functional teams to translate business requirements into technical solutions while mentoring junior engineers.
The PLM Solutions Engineer will own the technical operation, installation, and configuration of PTC Windchill or Siemens Teamcenter platforms. They will lead upgrades, migrations, and performance tuning while collaborating with engineering and manufacturing teams to ensure system reliability.
The developer will design, build, and maintain enterprise-grade web applications and distributed systems using the Microsoft technology stack. Responsibilities include managing the full engineering lifecycle from requirements analysis and architectural design to deployment and post-release support.
The Senior AWS Consultant will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, infrastructure-as-code, automation, and continuous operational improvement of mission-critical workloads.
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