Senior Lead Architect | Metro Area Remote
Schenectady, Schenectady County, New York, 12301, USA
Listed on 2026-10-30
-
IT/Tech
AI Engineer (Applied/Software)
Full time
Posted 1 Days ago
R04991
Cohesity opens in a new tab is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery ’ve been named a Leader by multiple analyst firms and have been globally recognized opens in a new tab for Innovation, Product Strength, and Simplicity in Design.
Join us on our mission to shape the future of our industry.
Cohesity's Professional Services team is looking for a hands-on automation architect who can design, build, and validate automated end-to-end deployment architectures that customers, partners, and internal teams can consistently implement. This role blends deep system design, automation engineering, customer engagement, field validation, and enablement. You will create scalable, code-driven blueprints, replace manual deployment practices with repeatable automation, and serve as the technical authority across automation, architecture, integration, and system design.
HOWYOU'LL SPEND YOUR TIME HERE:
- Deliver automation-led architecture and professional services to customers.
- Build strategic relationships with key customers and Cohesity teams.
- Partner with Product Solutions, engineering, SEs, tech marketing, and support to align product capabilities and APIs with customer automation requirements and ensure smooth knowledge transfer.
- Engage directly with customers to understand their operational workflows and map Cohesity's solutions and automation capabilities to their objectives.
- Design and validate automated deployment architectures, including sizing, performance, integrations, and migrations.
- Develop reusable automation assets such as Ansible playbooks, Python modules, workflow templates, and code-backed runbooks.
- Support deployment execution and ensure design fidelity across delivery teams and partners through standardized, version-controlled automation.
- Conduct field validation and beta testing of new automated procedures, including testing for idempotency, error handling, and rollback.
- Convert automation designs into training content and deliver hands-on training to customers, partners, and internal teams.
- Create high-quality documentation, code repositories, and knowledge base articles.
- Continuously refine automation assets as new products, features, and API versions are released.
- Maintain JIRA user stories and an automation backlog to ensure alignment across product, engineering, and delivery teams.
- Deep System Design:
Build end-to-end automated architectures across services, applications, data stores, and integrations, producing implementation-ready diagrams, workflow definitions, and sequence flows. - API & Integration Architecture:
Design and consume REST APIs, JSON schemas, and integration patterns (sync/async, event-driven, webhooks, retries) to orchestrate workflows across Cohesity and third-party platforms. - AuthN/AuthZ:
Implement OAuth/JWT, RBAC, scopes, token flows, service accounts, and secure secrets handling for automated pipelines. - Data Architecture:
Design efficient SQL schemas and queries; understand No
SQL modeling and storage decisions for automation state, inventory, and reporting. - Independent Technical Execution:
Research new automation tools and technologies independently. - Security Architecture:
Apply security-by-design principles to automation, including least-privilege access, auditability of…
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