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ServiceNow CSM Architect
Location: Remote, USA
Type: Contract
Our client, a leading IT Consulting organization, is hiring an experienced ServiceNow CSM Architect with deep expertise in Customer Service Management. The successful candidate will be responsible for designing and implementing robust Customer Service Management (CSM) solutions in line with business goals. This is a fully remote opportunity open to candidates based in the USA.
Responsibilities
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Architect and lead the implementation of ServiceNow CSM solutions.
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Collaborate with stakeholders to gather and analyze requirements.
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Design scalable, performance-optimized CSM configurations.
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Guide development teams through build and deployment.
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Ensure alignment with industry best practices and ServiceNow standards.
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Provide technical leadership and strategic guidance on platform capabilities.
Skillset
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Proven experience as a ServiceNow Architect with a focus on Customer Service Management (CSM).
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Certified Implementation Specialist (CIS) – CSM is required.
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Strong understanding of ServiceNow architecture and data models.
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Hands-on experience with integrations, workflows, and CSM-specific modules.
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Excellent communication and leadership skills.
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Must be authorized to work in the USA and based within the country.
Responsibilities
- Design and build scalable, maintainable platform systems from the ground up.
- Develop robust backend services and APIs mainly with Python and using Rust for performance-critical components.
- Work closely with frontend teams on integrations using JavaScript and TypeScript.
- Automate infrastructure deployment using modern DevOps tools and Infrastructure as Code practices.
- Provide technical leadership by establishing best practices and guiding architectural decisions.
- Own features end-to-end, from initial concept through to production release.
Skillset
- Proven experience in software development, with strong Python backend skills.
- Demonstrated success building systems from the ground up in fast-paced environments.
- Proficiency in JavaScript/TypeScript and modern frontend frameworks.
- Experience with Rust, or a willingness to learn it for performance-critical tasks.
- Hands-on familiarity with cloud platforms such as AWS, GCP or Azure.
- Experience with containerization using Docker and orchestration with Kubernetes.
- Strong system design skills, including designing clean APIs and scalable architectures.
- A DevOps mindset, with expertise in CI/CD pipelines, monitoring and observability.
- Excellent communication and teamwork skills.
- Passion for open-source and active contribution to community-driven projects.
Benefits
- Salary: $100K - $220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
Responsibilities
- Develop and sustain reliable systems for training, deploying and scaling AI models.
- Build and enhance workflows for data preparation, model training, evaluation and deployment.
- Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
- Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
- Collaborate closely with researchers and developers, both within the company and across our open-source community.
- Contribute to the development and direction of their open-source platform and foundational AI models.
Skillset
- Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
- Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
- Proficient in Python and skilled in best practices for software development.
- Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
- Experience with distributed computing and designing scalable systems.
- Enthusiasm for open-source development and active participation in community-driven projects.
Benefits
- Salary: $100K - $220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
Responsibilities
- Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
- Shape the strategic direction of open-source AI/ML innovation within the organization’s platform.
- Publish impactful research in leading academic venues.
- Build and nurture academic partnerships to strengthen the company’s global open research community.
- Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.
Skillset
- PhD degree in Computer Science or a related field, with a specialization in AI/ML.
- Proven track record of publications in leading AI/ML conferences and journals.
- Demonstrated leadership in driving research initiatives and managing complex technical projects.
- Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
- Strong commitment to open source and a passion for building in the open through community collaboration.
Benefits
- Salary: $160K–$220K DOE.
- Equity.
- Comprehensive health, dental and vision insurance.
- Hybrid working with offices in Seattle, WA and Palo Alto, CA.
Responsibilities
- 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.
Skillset
- 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.
Benefits
- Salary: $250k - $300k.
- Performance Bonus.
- 401(k) matching up to 50%.
- Health, dental, vision, mental health, disability and life insurance.
Our client, an innovative IT consulting firm, is hiring a ServiceNow IRM Technical Consultant to join their team remotely on a six-month contract. The successful candidate will support a high-profile end client, leading the successful implementation of Integrated Risk Management (IRM) solutions in line with their risk and compliance objectives.
Responsibilities
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Lead the end-to-end implementation of ServiceNow IRM modules, including Policy & Compliance, Risk Management, Audit Management and Vendor Risk.
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Work closely with stakeholders to gather requirements and translate them into scalable and effective ServiceNow solutions.
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Design, configure and tailor IRM workflows, dashboards, and automated control mechanisms to meet business needs.
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Deliver technical expertise in scripting, system integrations and overall platform architecture.
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Provide guidance on governance frameworks, risk scoring methodologies and compliance with standards such as ISO 27001 and NIST.
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Support user acceptance testing (UAT), deployment activities, documentation and training sessions.
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Act as a subject matter expert and trusted advisor on ServiceNow IRM best practices and capabilities.
Skillset
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At least 5 years of experience working with the ServiceNow platform, including a minimum of two years focused on IRM/GRC.
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Mandatory CIS-Risk and Compliance (CIS-R&C) certification.
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Possession of further ServiceNow certifications is a plus.
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Proven track record of delivering at least one complete end-to-end IRM implementation.
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In-depth understanding of industry risk frameworks and compliance standards.
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Proficient in client- and server-side scripting, UI policies and business rules within ServiceNow.
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Experience with additional ServiceNow modules such as SecOps, Vendor Risk or Business Continuity Management (BCM) is a bonus.
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Strong communication skills with the ability to engage and manage stakeholders effectively.