Top Tech Jobs & Startup Jobs

Administer and support IBM DB2 databases on z/OS, including installation, configuration, migration, recovery, backup, reorganization, tuning, monitoring, troubleshooting, and performance testing. Collaborate with application teams on releases and data fixes, support CICS and COBOL applications, manage IBM support tickets, participate in disaster recovery drills, and administer IBM InfoSphere Data Replication for a critical financial management system.

Own client relationships, expand existing accounts, and develop new business opportunities for IT services, consulting, managed services, and technology solutions. The role requires quota-carrying sales experience, consistent target achievement, experience with $500K+ deals, strong executive engagement, and the ability to explain AI applications and Orion’s AI-first approach.

Leads strategic enterprise technology-services accounts, owning revenue growth, pipeline, forecasting, margin, and commercial performance. Builds trusted relationships with CIOs, CTOs, and senior business stakeholders; develops account plans, identifies expansion opportunities, shapes solutions, and manages sales cycles through negotiation and SOW signature. Partners with delivery, engineering, architecture, talent, and alliances teams to ensure client satisfaction, retention, and growth. Sells data, AI, cloud, digital engineering, modernization, and automation services in a consultative, value-based manner.

Owns client relationships, expands existing accounts, and develops new business for IT services, consulting, managed services, and technology solutions. The role requires quota-carrying sales experience, consistent target achievement, client-facing deal ownership, and experience with deals exceeding $500,000. Responsibilities include engaging senior leaders, explaining AI-enabled solutions, building relationships, managing priorities, and pursuing account growth opportunities.

Lead end-to-end delivery of data products on Databricks, translating business requirements into technical designs, data models, builds, tests, and releases. Develop Bronze, Silver, and Gold-layer solutions using PySpark, Spark SQL, Delta Lake, Unity Catalog, Python, SQL, and Git-based CI/CD. Manage offshore engineering teams and vendors through backlog planning, design reviews, code reviews, and delivery oversight. Partner with business stakeholders on data definitions, quality, governance, and acceptance criteria.

Administer and support enterprise middleware infrastructure for HR, benefits, timekeeping, and other critical applications. Install, configure, maintain, upgrade, patch, automate, and troubleshoot WebSphere, MQ, Cognos, and related platforms across Linux or UNIX environments. Manage deployments, source control, root-cause analysis, production incidents, documentation, and collaboration with technical teams while supporting large-scale environments and occasional 24x7 operations.

Drive revenue growth across manufacturing clients by acquiring new accounts and expanding existing relationships. Own the full sales cycle, build executive-level partnerships, uncover business challenges through consultative and conversational selling, and position digital, AI, cloud, and technology solutions. Collaborate with consulting, delivery, presales, and solution teams on proposals while managing pipeline, achieving quotas, and demonstrating measurable business value and ROI.

Support enterprise relational and NoSQL database platforms across on-premises and AWS environments. Responsibilities include database migrations, cloud integration, high availability, performance tuning, automation, data integration, infrastructure operations, and support for scientific computing and drug discovery research. The role also involves interpreting structured and unstructured data, developing technical solutions, collaborating with engineering and storage teams, and communicating with architects, developers, business users, and scientists.

Facilitates Scrum ceremonies, coaches cross-functional teams, manages backlogs, removes impediments, tracks KPIs, communicates project status, and drives continuous improvement. Coordinates large-scale global data transformation initiatives involving Databricks, analytics pipelines, data scientists, machine learning engineers, software developers, and product owners. Identifies delivery risks, resolves issues, and supports Agile execution for commercial pharmaceutical data projects.

Supports site-level change management for a pharmaceutical manufacturing technology transformation. Responsibilities include identifying impacts, engaging stakeholders, adapting communications and training, coordinating readiness and adoption activities, tracking risks and dependencies, supporting go-live and hypercare, and maintaining change deliverables. The role requires strong facilitation, communication, project coordination, and stakeholder management skills, with primarily onsite work in Bothell.