Jobs at Orion Innovation

Design, develop, and deploy generative AI solutions using LangChain, RAG, and prompt engineering. Build and integrate FastAPI-based REST APIs, deploy on Azure and AWS Bedrock, manage models and workflows with Git and Docker, and follow Agile practices.

Owns availability, resilience, monitoring, performance, capacity, incident response, disaster recovery, deployments, vulnerability remediation, and cost optimization for critical Azure audit applications. The role applies DevOps practices, operates containerized cloud-native workloads, maintains documentation and compliance evidence, and leads a globally distributed infrastructure team. Participation in a 24x7x365 on-call rotation is required, along with collaboration across engineering, security, architecture, cloud platform, and business teams.

Manage and optimize Adobe Marketo Engage campaigns, including email, landing pages, forms, nurture programs, lead scoring, routing, segmentation, and lifecycle processes. Integrate Marketo with CRM and enterprise platforms, maintain database hygiene and deliverability, troubleshoot workflows, monitor performance, and produce reporting insights. Collaborate with Marketing, Sales, and Operations teams on automation initiatives, A/B testing, data governance, and campaign optimization.

Leads DevOps strategy and delivery across enterprise projects, designing CI/CD pipelines, managing Docker and Kubernetes deployments, implementing Terraform infrastructure on Azure, and maintaining monitoring and reliability solutions. The role drives automation, troubleshooting, Agile and Scrum best practices, and cross-functional collaboration. A minimum of 10 years of DevOps or related experience is required, with microservices architecture and shell scripting preferred.

Lead test strategy and execution for a large enterprise CLM implementation. Plan and coordinate functional, integration, SIT, regression, UAT and non-functional testing; manage test environments, defects, metrics, and release readiness; ensure integration validation with CRM, SharePoint, DocuSign, SSO and other systems; govern test processes and support business users for UAT.

Migrate legacy data warehouse implementations to Databricks by interpreting T-SQL logic, converting transformations into optimized PySpark/Databricks pipelines, designing ETL/ELT jobs, performing data validation and testing, optimizing performance, documenting migration logic, and collaborating with architects and business teams.

Job posting contains company overview, equal opportunity and candidate privacy statements. No specific Deployment Engineer responsibilities, qualifications, or technical details were provided.

Design and lead scalable data platforms and pipelines on GCP. Implement batch and event-driven processing (Spring Batch, Kafka, Pub/Sub), ensure data quality and lineage, automate with Python/Bash and IaC (Terraform), mentor and lead the Data Engineering POD, drive architecture governance and delivery.

Design, build, and maintain Azure-based data fabric solutions using Microsoft Fabric, Databricks, ADF, and PySpark. Develop data models and storage (Azure SQL, Parquet), ensure data quality, governance, security, and CI/CD integration, and optimize pipelines for performance while supporting Agile delivery.

Implement and configure AI-enabled ServiceNow solutions, modernize portals and workspaces using Next Experience and UI Builder, build workflows with Flow Designer, implement Now Assist/AI Search/Virtual Agent, develop integrations via Integration Hub and REST APIs, and collaborate with stakeholders to deliver scalable ServiceNow solutions.

Design, configure, and customize ServiceNow SPM modules (Demand, Project, Portfolio, Resource, Strategic Planning). Build workflows, integrations and automations with Flow Designer and IntegrationHub. Support SDLC activities, perform root-cause analysis, resolve production issues, conduct code reviews, and drive process optimization for portfolio and project management.

Lead the design and development of advanced Generative AI solutions, managing a team while implementing AI technologies to enhance business outcomes and user experiences.

Design and implement enterprise-grade Generative AI and LLM architectures, lead Azure OpenAI and AWS Bedrock integrations, ensure API-based system integration and application security, drive AI/ML DevOps, support RFPs, and mentor teams in prompt engineering.

Implement and maintain ServiceNow Field Service Management: configure workflows for work orders and tasks, optimize scheduling and resources, build mobile solutions, integrate FSM with other systems, manage data, and provide ongoing support and enhancements.

Design and optimize scalable data platforms using Microsoft Fabric and Databricks; create data pipelines and models for enterprise analytics while collaborating with data science teams.

The Senior Data Architect leads pre-sales engagements, designs end-to-end cloud and data architectures, and partners with clients on technological transformations while ensuring scalability, security, and alignment with business goals.

The Azure Cloud Application Architect designs and implements cloud-native solutions on Azure, providing technical leadership and mentoring. Responsibilities include establishing governance, cost optimization, security best practices, and engaging in pre-sales and post-sales activities while collaborating with various teams.

Design and implement high-throughput, low-latency Rust systems: lock-free and thread-safe data structures, custom thread pools and schedulers, algorithmic and memory optimizations, custom allocators, and continuous profiling/benchmarking to achieve predictable low-latency performance.