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Participate in advanced engagements focusing on Enterprise Migration and Disaster Recovery planning. Troubleshoot and resolve challenges within ArcGIS Enterprise systems. Lead upgrades/deployments of ArcGIS Enterprise on Windows, Linux, and Kubernetes platforms. Apply knowledge of complementary technologies such as RDBMS, NoSQL, object stores, SAN/NAS, and server-side servicing models. Knowledge of authentication protocols (SAML/OIDC), TCP/IP, DNS, and TLS networking.
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Lead and support a high-performing Infrastructure Platforms team
Connect business goals with engineering solutions
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Develop state-of-the-art voice cloning and text-to-speech solutions
Implement low latency and cost-effective systems
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Design, build, and maintain distributed backend systems
Shape product decisions and contribute to technical discussions
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Lead and conduct advanced penetration testing projects
Exploit security vulnerabilities in Cloud Infrastructure
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Design and build backend services for data processing
Implement and improve data pipelines and APIs
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Lead advanced penetration testing efforts
Define offensive security strategies
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Lead and support a high-performing Infrastructure Platforms team
Connect business goals and customer needs with engineering
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Design, build, and maintain scalable distributed backend systems
Shape product decisions with product and engineering peers
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Lead design and scalability of Java-based backend services.
Optimize platform components for high-throughput workflows.
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Contribute to cutting-edge voice cloning and text-to-speech technologies
Develop efficient and high-performance backend solutions
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Lead high-priority incident escalation and containment
Automate monitoring with Python and Go
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Design and build CI/CD pipelines and DevOps platforms
Collaborate with multiple teams on customer journeys
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Lead Cortex onboarding and implementation for UK clients
Act as the main technical point of contact during implementations
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Scale tooling workflows for AI team
Improve developer experience
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Lead design, implementation, and maintenance of scalable ML infrastructure
Manage ML Model Deployment & Platform Management on Databricks
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Design and maintain secure authentication/authorization systems.
Build microservices for MFA, SSO, OAuth 2.0, OIDC, JWT, and token management.
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Lead and grow a team for Containers and Kubernetes
Drive next-gen Containers with AI/ML
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Contribute to payments infrastructure and solve payment processing issues.
Improve test coverage, automation, and maintain platform reliability.
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Own parts of Contacts stack end-to-end
Evolve architecture to scalable, multi-tenant system
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Develop state-of-the-art voice cloning solutions
Implement efficient text-to-speech systems
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers to shape product decisions
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Lead design, development, and optimization of Java backend services for AI Platform
Architect and integrate core data systems with high-performance requirements
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Develop and maintain backend systems for Foodsmart web app
Collaborate with front-end engineers to design APIs
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Lead and support high-performing team
Drive continuous improvement in service operations
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Integrate and operate key technologies
Enhance system operability
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Integrate and operate distributed databases and systems
Implement features for improved operability and metrics/logging
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Integrate and operate various technologies for observability
Build features to enhance operability and metrics
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Integrate and operate various technologies for observability
Implement features for improved operability and metrics/logging
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Integrate and operate key technologies
Enhance metrics and logging capabilities
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Integrate and operate advanced technologies
Implement features for system improvement
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Integrate and operate various systems
Develop features to enhance operability
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Develop state-of-the-art voice cloning and low latency text-to-speech solutions.
Implement backend solutions using Python.
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Lead design and development of core backend services
Architect and optimize platform components for efficiency
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Lead and conduct advanced penetration testing
Provide expert guidance on secure design patterns
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Design, build, and maintain scalable distributed backend systems
Work closely with product and engineering peers
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Lead and support high-performing Infrastructure Platforms team
Create environment for team members to excel
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Integrate and operate distributed databases and systems
Design and implement next-gen metrics and logging systems
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Design, implement, and optimize backend and infrastructure
Collaborate with various teams for feature delivery and system health monitoring
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Integrate and operate various technologies to improve operability and future metrics/logging
Guide engineers on using systems to ensure service performance
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Create efficient development to production pipelines with fast feedback and safety.
Partner closely with product engineering teams to enhance engineering standards and release quality.
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Develop and deploy AI models for voice cloning and text-to-speech
Prioritize tasks based on urgency and impact
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Lead and support Infrastructure Platforms team
Connect business goals with engineering
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Lead and conduct advanced penetration testing
Define offensive security roadmap
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Lead design and development of Java-based backend services
Optimize platform components for high-throughput and low-latency
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Design, build, and maintain distributed backend systems.
Collaborate with product and engineering teams to shape product decisions.
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Design complex systems with teams
Build and manage backend services in AWS
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Design and maintain cloud-native infrastructure
Modernize identity infrastructure with Terraform
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Design complex backend systems
Build and extend features for fleet ops
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Architect, deploy, and maintain a scalable multi-tenant SaaS environment in AWS
Optimize AWS services for cost, performance, and reliability
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Build scalable and reliable data systems
Collaborate with cross-functional teams