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Information Security Engineer (DevSecOps)
Equinix LLC
United States
…Top 10 for LLM Applications, prompt injection, data leakage, model and AI supply chain risks) and how to secure AI-enabled…
Added 3 mins ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
Validate model outputs against schemas, allowed values, and business rules. Handle failures without losing records silently.
Added 4 mins ago
IG
SDET
Insight Global
Remote, United States
- From $65 USD / hour
Experience testing against acceptance criteria and user stories in an agile delivery model
Added 5 mins ago
Software Development Manager, Leo Security
Amazon
Bellevue, WA
…building a neuro-symbolic reasoning platform: large language model agents combined with a knowledge graph and real-time asset state store that ground every conclusion in verifiable fact, so…
Added 5 mins ago
Security Engineer II, Ads Security
Amazon
BELLEVUE, WA
Added 5 mins ago
Security Strategist
Meta
Bellevue, WA
Experience defining security strategy for AI and machine learning systems, including model, data, and agent-related risk
Added 5 mins ago
Research Scientist Intern, Video RecSys (PhD)
Meta
Bellevue, WA
…these models, closing the loop between ML experimentation and model quality. Our interns will have the opportunity to frame practical, high-impact challenges in recommendation into rigorous…
Added 5 mins ago
MC
Principal Software Engineer, Foundry Agents - CoreAI
Microsoft Corporation
Redmond, WA
- $142,800 to $331,200 USD / year
…enterprise scale with seamless integration with governed tools, (b) model fine‑tuning to train and improve agentic performance, and (c) Foundry observability to generate insights from…
Added 5 mins ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
Coinbase
Olympia, WA
6+ years of hands-on Salesforce development experience (Apex, LWC, Flows, security/sharing model, packaging, and release management) with demonstrated delivery of complex solutions in Sales…
Added 5 mins ago
Security Engineer - Applied AI
Meta
Olympia, WA
Shape how security expertise translates into AI capability: define the methodologies that make model improvement systematic and scalable
Added 5 mins ago
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Director, Application Software Engineering
Oracle
Olympia, WA
- $129,000 to $306,400 USD / year
Added 5 mins ago
Senior Manager, Security Operations Center
Rubrik
Olympia, WA
Set the direction and operating model for a modern SOC.
Added 5 mins ago
Presales Solutions Architect - ICX Channel
Siemens
Olympia, WA
◦ Enable partners to model a customer's domain as an enterprise ontology , build agents and machine learning that reason over it and act on it, and deliver working agentic applications that…
Added 5 mins ago
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Solution Architect – Agentic AI
Cognizant
Olympia, WA
- $116,000 to $180,000 USD / year
Define Model Context Protocol (MCP) integration patterns and agent-to-agent communication frameworks.
Added 5 mins ago
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Service Line Sales Specialist (Integration & Process Orchestration) – Retail - 00070989311
Cognizant
Olympia, WA
- $150,000 to $165,000 USD / year
Added 5 mins ago
ServiceNow- ServiceNow Moveworks AI Architect Manager - Tech Cons - Open Location
EY
Olympia, WA · Seattle, WA
Familiarity with foundational AI and data architecture concepts, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols for secure and efficient system integrations
Added 5 mins ago
Principal TPM, Prime Video & Studios CoreTech Central Team, Prime Video & Studios CoreTech Central Team
Amazon
Seattle, WA
…capabilities at scale. You will partner with science teams to validate model integration approaches and with product teams to ensure long-term customer value. You will communicate program…
Added 5 mins ago
ServiceNow - ServiceNow IT Service Management (ITSM) Manager- Tech Cons - Open Location
EY
Olympia, WA · Seattle, WA
ServiceNow Certified Systems Administrator (CSA) or Certified Application Developer (CAD)
Added 5 mins ago
Sr Program Manager, AWS PXT, AWS PXT
Amazon
Seattle, WA
…from strategic to real-time. As Support evolves its workforce model creating new roles, redefining existing ones, and building capabilities at the intersection of human judgment and AI, you…
Added 5 mins ago
Sr. Software Development Engineer, Amazon Quick
Amazon
Seattle, WA
…areas: data preparation (discover, cleanse, transform, and model data), data management (lifecycle oversight, versioning, permissions, and fine-grained access control), and analytical query…
Added 5 mins ago
Applied Science Manager, AWS Startups, AWS Startups
Amazon
Seattle, WA
· Own and prioritize the team's science roadmap across data foundation, model development, and the delivery of insights into products and internal tools.
Added 5 mins ago
Sr Security Engineer, Leo Security
Amazon
Seattle, WA
…team builds a neurosymbolic reasoning platform: large language model agents combined with a knowledge graph and real-time asset state store that ground every conclusion in verifiable fact,…
Added 5 mins ago
Director of Marketing, Amazon Devices
Amazon
Seattle, WA
…unify disparate teams and disciplines under a single operating model, and deliver business outcomes with speed and precision. The right leader combines deep marketing expertise with an…
Added 5 mins ago
Client Director, Frontier AI Model Lab , Strategic Accounts
Amazon
Seattle, WA
In this role, you will lead the AWS account team for a frontier AI model lab and one of Amazon's largest strategic technology partnerships. The relationship spans billions in annual…
Added 5 mins ago
Software Development Engineer III, AAIS Mosaic Data Platform
Amazon
Seattle, WA

Jobgether

Senior Manager, Platform Continuity

Remote, United States

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Job details

Experience: At least 5 years of engineering management experience, including responsibility for distributed or international teams operating across multiple time zones.
Posting language: English

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Manager, Platform Continuity based in the United States.

We are seeking an experienced engineering leader to build and lead a newly established Platform Continuity team within a large-scale cloud infrastructure organization. In this role, you will oversee a distributed team of senior and staff-level Site Reliability Engineers (SREs) across the United States, Ireland, and Spain, ensuring the stability, efficiency, and operational health of multi-cloud environments. You will establish the team's operating model, strengthen infrastructure reliability, and drive automation to reduce repetitive operational work. Working across AWS and Azure environments, you will coordinate critical activities involving infrastructure management, monitoring, cloud costs, and application support. You will also collaborate with engineering and platform leadership to establish clear ownership, scalable processes, and effective operational practices. This is an opportunity to shape a new function while improving the resilience and efficiency of essential healthcare technology infrastructure.

Accountabilities:

Lead, develop, and retain a distributed team of senior and staff-level Site Reliability Engineers across the United States, Ireland, and Spain, providing strategic direction, technical guidance, and people management.
Establish and own the Operational Intake & Acceptance process, ensuring that systems transferred to the team include documented runbooks, architecture context, validated access permissions, and a formal knowledge transfer walkthrough.
Drive a shift-left and automation-first approach by identifying repetitive operational activities, partnering with Cloud Platform Tools teams to automate recurring tasks, and ensuring that solvable problems are transferred to the appropriate teams rather than becoming permanent responsibilities.
Oversee operational activities across five key areas: Infrastructure as Code (IaC) and Terraform workspace management, virtual desktop infrastructure (VDI) and end-user computing, monitoring and alerting maintenance, cloud cost optimization, and SRE-level application and client support.
Define and track the team's primary performance indicator: reducing the organization-wide Keep The Lights On (KTLO) workload from an initial baseline of 86%, with quarterly reporting and visibility into progress across individual teams.
Build and maintain a comprehensive playbook library to ensure operational activities are standardized, repeatable, auditable, and increasingly automated.
Establish and enforce clear operational intake criteria, ensuring that routine documentation requests and basic support activities remain within the appropriate IT Service Desk scope rather than being unnecessarily escalated to Platform Continuity.
Protect team capacity by managing misrouted requests, clarifying ownership boundaries, and ensuring operational responsibilities remain aligned with the team's defined scope.
Collaborate with Cloud Platform Infrastructure, Services, engineering SRE, and Tools leadership to coordinate cross-functional initiatives and maintain effective ownership across the organization.
Act as the operational escalation point for complex platform-level issues that engineering teams cannot independently diagnose, including production access, SSL certificate management, and system-state remediation.
Continuously improve operational processes, service quality, and team effectiveness by identifying opportunities to eliminate manual work and strengthen infrastructure resilience.

Requirements:

At least 5 years of engineering management experience, including responsibility for distributed or international teams operating across multiple time zones.
Strong technical foundation in cloud infrastructure operations, with the credibility and expertise required to guide senior and staff-level SREs and make sound technical decisions regarding scope, ownership, and escalation.
Solid knowledge of Infrastructure as Code (IaC) and Terraform, including infrastructure state management, module versioning, and workspace hygiene at scale.
Strong operational understanding of Kubernetes environments, particularly Amazon EKS and/or Azure AKS, including cluster health, workload troubleshooting, and node management.
Professional experience with AWS is required, while experience with Microsoft Azure is a strong advantage.
Experience managing cloud infrastructure in regulated, compliance-sensitive, or security-conscious environments.
Hands-on familiarity with observability platforms, preferably Datadog, including monitor management, alert configuration, and dashboard governance.
Demonstrated ability to establish operational discipline through structured runbooks, Service Level Agreements (SLAs), intake procedures, escalation paths, and shift-left frameworks.
Strong communication and stakeholder management skills, with the ability to define ownership boundaries, manage cross-team expectations, and explain technical and operational trade-offs to both technical and non-technical audiences.
Proven ability to influence stakeholders without direct authority and build effective working relationships across multiple engineering and infrastructure functions.
Comfort working in ambiguous environments, with the ability to establish processes, define team responsibilities, and develop an operating model while simultaneously delivering operational results.
A continuous improvement mindset, with a strong focus on automation, reducing operational toil, improving efficiency, and building scalable engineering practices.

Additional qualifications that would be an advantage:

Experience using Datadog in FedRAMP or AWS GovCloud environments.
Previous leadership of operational or platform engineering teams with a clear automation-first strategy or measurable toil-reduction objectives.
Familiarity with PagerDuty, Incident.io, and GitOps workflows, particularly ArgoCD.
Experience within healthcare technology, life sciences, or other regulated data environments.
Ability to lead organizational change and establish sustainable operational practices across geographically distributed teams.

Benefits:

Annual total cash compensation: Estimated range of $158,000–$187,000, depending on the candidate's experience, skills, responsibilities, and level.
Healthcare and wellbeing: Access to a comprehensive rewards package designed to support employee health, wellbeing, and financial security.
Flexible work environment: Remote working opportunity within the United States, with required availability during Eastern Time (EST) business hours.
Professional development: Opportunity to build and lead a newly established engineering function, shape operational strategy, and influence infrastructure practices across a growing organization.
Leadership opportunities: Direct responsibility for developing senior engineering talent and strengthening distributed technical teams.
Meaningful impact: Contribute to improving the security, accessibility, and reliability of healthcare data infrastructure, supporting organizations across the healthcare ecosystem.
Collaborative environment: Work alongside experienced engineering, cloud infrastructure, SRE, and platform leadership teams.
Employment eligibility: This position is not eligible for employment visa sponsorship.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

AWS
Microsoft Azure
Leadership
Team leadership
Infrastructure as code
IBM Terraform
Reporting
Documentation
Kubernetes
Troubleshooting
Regulatory compliance
Datadog
Communication skills
Stakeholder management
Process improvement

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