AI Infrastructure Lead Jobs

Our client, an AI-focused FinTech company, is hiring a Senior Backend Engineer to join their team in Manhattan, New York. The successful candidate will take the lead for core systems, from owning the overall architecture and building systems that are low-latency, resilient and cost-efficient.


Responsibilities

• Design, build and maintain backend services that are high-performance, resilient and easy to scale.

• Define service boundaries, data models and API contracts to enable independent team development.

• Set performance benchmarks and SLOs, designing systems for durability and graceful degradation under load.

• Lead technical design reviews and mentor engineers on best practices in code quality, testing, and operations.

• Take ownership of critical systems, including queue orchestration (Temporal), caching (Redis) and infrastructure automation.

Skillset

• Proven expertise building Node.js/TypeScript services.

• Experience with Go in production is a plus.

• Solid grasp of memory management, distributed systems, durable execution and edge computing.

• Hands-on experience with Temporal (or similar durable workflow systems) and Redis at scale.

• Comfortable deploying and operating services in modern cloud environments with strong observability practices.

• Familiarity with LLM integrations and their operational considerations is a plus.

• Strong communication and decision-making skills.

• Ability to make both high-level architecture and detailed code design decisions.

• Experience working with agentic or LLM-driven workflows is a bonus.

Benefits

• Salary: $150K–$200K

• Equity.

• Health, dental and vision insurance.

• 401k with 3% automatic contribution.

Our client, a leading IT Services organization, are hiring a ServiceNow Technical Consultant to join their team remotely in the U.S. The successful candidate will partner with clients to design, implement and optimize ServiceNow solutions, driving improved service delivery, operational efficiency and supporting mission-critical initiatives across the Federal and Healthcare sectors.


Responsibilities

• Design, configure and maintain ServiceNow CMDBs to support complex enterprise environments.

• Lead ServiceNow Discovery initiatives, including MID Server setup, credential management and automated discovery processes.

• Create and manage Service Mapping, Business Service models and dependency mapping to ensure accurate service representation.

• Maintain CMDB integrity through effective data modelling, CI class structuring and relationship management.

• Collaborate with cross-functional stakeholders to seamlessly integrate ServiceNow solutions with existing IT infrastructure and workflows.

• Implement ITIL best practices, with a focus on Configuration, Change and Incident Management processes.

Skillset

• US Citizenship is a must.

• Minimum of 5 years’ experience managing enterprise CMDBs, including at least 3 years working specifically with ServiceNow CMDB.

• Certified in ServiceNow CSM and CSA is required.

• Proficient in ServiceNow Discovery, including configuration of MID Servers and integration with underlying infrastructure components.

• Comprehensive understanding of networking, cloud computing, storage systems and data centre environments.

• Expertise in Service Mapping and CMDB data modelling, including CI class structures and relationship design.

• Strong knowledge of ITIL frameworks, particularly Configuration, Change, and Incident Management.

• Exceptional communication, analytical, and stakeholder engagement abilities, with a focus on delivering practical, business-driven solutions.

Benefits

• Salary: $130,000 - $180,000 DOE

• Remote working.

• Comprehensive Benefits Package.

Our client, a growing AI-driven startup, is hiring a a Staff Platform Engineer to join the team in California. The successful candidate will design and scale their core infrastructure, driving projects that improve system reliability, boost developer efficiency and elevate operational standards within their talented engineering team.


Responsibilities

• Design and build scalable backend systems that support complex data labeling workflows, enable real-time collaboration, and incorporate large language model (LLM) capabilities.

• Lead infrastructure initiatives focused on deployment, observability and performance optimization within a cloud-native environment.

• Develop secure, modular APIs and services that seamlessly integrate with both internal tools and customer-facing applications.

• Work closely with engineers, product managers and data operations teams to advance the company’s platform features and capabilities.

• Establish and maintain observability best practices - including logging, metrics, tracing and health monitoring - to deliver an exceptional developer experience.

• Guide architectural decisions involving service decomposition, asynchronous processing, scaling strategies and high-availability systems.

• Take ownership of the reliability and performance of critical services, including distributed task routing, model integrations and data pipelines.

• Mentor engineering team members in creating scalable, maintainable systems using contemporary engineering best practices.

Skillset

• Minimum of 8 years’ experience in backend or platform engineering, preferably within fast-growing SaaS or AI infrastructure companies.

• Proficient in Python programming, with hands-on experience using frameworks such as FastAPI.

• Strong expertise in cloud platforms (AWS, GCP or Azure), including container orchestration technologies like Docker and Kubernetes, and Infrastructure as Code tools such as Terraform.

• Experienced with SQL databases (e.g. PostgreSQL) and event-driven messaging systems (e.g. Kafka, RabbitMQ, Redis Streams).

• Well-versed in CI/CD pipelines, automated testing and deployment methodologies for large-scale production environments.

• Demonstrated ability to troubleshoot complex distributed systems, identify performance bottlenecks and build robust, resilient architectures.

• Comfortable working in early-stage, dynamic environments, taking initiative to identify and solve high-impact challenges.

• Experience integrating large language models (LLMs), working with ML/AI infrastructure or contributing to data labeling platforms is a plus.

• Architect, maintain and scale high-performance computing (HPC) and storage solutions across both on-premises and cloud environments.
• Collaborate with global teams to diagnose and resolve infrastructure challenges across operating systems, storage and networking.
• Champion innovation by exploring and implementing emerging technologies to enhance research infrastructure.
• Oversee and optimise a range of compute resources, including CPUs, GPUs and other specialised processing units.
• Work closely with software engineers to deliver seamless, high-performance platforms that power advanced research initiatives.

• Minimum of 5 years of experience in data engineering.
• Strong, hands-on experience with Databricks, especially in a production environment
• Solid expertise in Linux-based systems and environments.
• Hands-on experience with Infrastructure as Code tools, such as Ansible and Terraform.
• Working knowledge of cloud platforms like AWS, GCP or Azure.
• Genuine interest in high-performance computing and solving complex system-level challenges.
• Proven ability to diagnose and resolve issues across various layers of infrastructure.
• Effective communicator and team player, comfortable working in cross-functional and globally distributed teams.

• Salary: $250k - $300k.
• Performance Bonus.
• 401(k) matching up to 50%.
• Health, dental, vision, mental health, disability and life insurance.