3 hours ago
Remote, United StatesSenior
Responsibilities
- Design, build, deploy, and maintain reusable platform capabilities, reference architectures, infrastructure patterns, deployment templates, and integration components for enterprise AI.
- Build secure integrations with the Anthropic API, Claude models, approved AI services, enterprise data, APIs, workflow systems, and authorized tools.
- Establish CI/CD, LLMOps, MLOps, versioning, evaluation, regression testing, deployment automation, monitoring, rollback, and lifecycle-management practices.
- Operate and improve AI services through incident response, troubleshooting, root-cause analysis, capacity planning, reliability improvements, and cost optimization.
- Design and manage cloud infrastructure, infrastructure-as-code, containerized deployments, identity and access controls, secrets management, security, privacy, compliance, disaster recovery, and business continuity.
- Build data-ingestion, transformation, indexing, retrieval, RAG, embeddings, vector-search, hybrid-search, reranking, and source-attribution capabilities.
- Implement responsible-AI safeguards, observability, tracing, output validation, guardrails, approval gates, human-in-the-loop workflows, auditability, and governance controls.
- Develop integrations with ServiceNow, enterprise APIs, identity providers, workflow and collaboration platforms, and line-of-business systems.
- Provide technical guidance, participate in architecture reviews and customer workshops, and convert recurring client needs into reusable platform features, accelerators, playbooks, and documentation.
Requirements
- 5+ years of experience in platform engineering, cloud engineering, DevOps, software engineering, data engineering, systems integration, or related technical roles.
- Hands-on experience designing and deploying cloud-native applications and services on AWS, Microsoft Azure, and/or Google Cloud Platform.
- Strong experience with CI/CD, Git-based workflows, automated testing, infrastructure as code, and production release processes.
- Experience with Docker, Kubernetes, serverless services, or comparable cloud-native platforms.
- Proficiency in Python, JavaScript/TypeScript, Java, Go, Bash, or similar programming and scripting languages.
- Experience designing and consuming REST APIs, integrating enterprise applications, and implementing authentication and authorization patterns.
- Hands-on experience with LLM-powered applications, generative AI services, AI/ML platforms, RAG systems, AI workflow automation, or related technologies.
- Familiarity with prompt and context engineering, token management, embeddings, vector search, structured outputs, tool use or function calling, evaluations, and model monitoring.
- Experience with observability practices, including logging, metrics, tracing, alerting, and incident management.
- Strong knowledge of cloud security, identity and access management, secrets management, network security, and secure software-development practices.
- Experience with relational databases, NoSQL databases, data warehouses, object storage, search platforms, or vector databases.
- Strong problem-solving, troubleshooting, communication, and documentation skills, with the ability to work in collaborative customer-oriented environments.
- Preferred qualifications include Claude, Anthropic API, Anthropic Console, Claude Code, Anthropic training, Model Context Protocol, LLM frameworks, LLM evaluation, prompt/version management, AI tracing, guardrails, model gateways, and AI observability experience.
- Preferred qualifications include MLOps platforms, data engineering and governance, vector databases, enterprise search, Terraform, Pulumi, CloudFormation, Bicep, Helm, Argo CD, GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, Kubernetes operations, service meshes, API management, event-driven architecture, microservices, and FinOps.
- ServiceNow, consulting, professional services, enterprise architecture, or client-facing technical delivery experience is preferred.
- A bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline is required, with equivalent relevant professional experience considered; relevant certifications are a plus.
Benefits
- NewRocket offers a diverse and inclusive workplace and is an equal opportunity and affirmative action employer.
- The role includes travel based on client and business needs, with the posting indicating a location/hybrid/remote arrangement without specifying which applies.
Tech Stack
Argo CDAWSAzureBashDatabricksDockerElasticsearchGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformHelmJavaJavaScriptJenkinsKubernetesMLflowMongoDBPostgreSQLPythonSnowflakeTerraformTypeScript
Categories
About NewRocket
NewRocket is the AI-first Elite partner that activates real value on ServiceNow. As a trusted advisor to enterprise leaders, NewRocket combines industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, NewRocket is among the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust to deliver lasing business value.