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At our core, we believe in empowering data practitioners:</p>\n<ul>\n<li>Reliable, high-quality data is the fuel that propels AI-powered data engineering.</li>\n<li>AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.</li>\n<li>We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.</li>\n</ul>\n<p>About the Security Team</p>\n<p>The mission of the Security Engineering team at dbt Labs is to provide clear, opinionated security guidance and scalable, secure-by-default offerings to engineers for the purpose of securing software development and enabling pragmatic risk decisions at dbt.</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a Senior Security Operations Engineer on the Detection &amp; Response team, you will strengthen and maintain the company&#39;s security posture throughout the threat detection lifecycle from telemetry collection and continuous monitoring through threat detection, incident response, and security event management. You will serve as a subject matter expert for security operations across the dbt Labs&#39; teams and technology infrastructure, including multi-cloud production environments, identity, endpoints, and SaaS technologies.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Participate in a 24/7 on-call rotation providing coverage for active security incidents, investigations, and security events across our global infrastructure.</li>\n<li>Lead investigation and remediation of security incidents, coordinating cross-functional response efforts to minimize impact and recovery time.</li>\n<li>Play a major role in bootstrapping an end to end D&amp;R alert and investigation pipeline.</li>\n<li>Triage and investigate security alerts from detection tools including Wiz Defend, Crowdstrike, and cloud security platforms to identify genuine threats and reduce false positives.</li>\n<li>Develop and maintain detection rules, runbooks, and response procedures mapped to the company&#39;s threat model.</li>\n<li>Automate alert triage workflows and improve mean time to detection and response through tooling and process enhancements, including leveraging AI enrichment and processing.</li>\n<li>Collaborate with Infrastructure and Application Security teams to implement secure-by-design principles and remediate identified security issues.</li>\n<li>Conduct security event analysis to identify policy violations, misconfigurations, and potential attack vectors before they become incidents.</li>\n<li>Partner with our Enterprise Security &amp; Technology team to enhance endpoint security controls and monitoring across endpoints (MacOS laptops &amp; some Windows and Linux-based development environments).</li>\n<li>Design and facilitate tabletop exercises and game days to test detection, response, recovery, and remediation capabilities.</li>\n<li>Contribute to the maturation of the security incident response program through documentation, training, and process improvements.</li>\n<li>Mentor junior security engineers and cross-functional team members on incident handling best practices.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Demonstrated ability to excel in high-pressure situations; we need someone who can make sound decisions during active security incidents and can calmly serve as incident commander with confidence.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Have 8+ years of professional experience in security-related domains, including at least 4 years in security operations, incident response, threat hunting, or threat detection roles.</li>\n<li>Have demonstrable experience leading security incident investigations and coordinating cross-team response efforts.</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.</li>\n<li>Opportunity to work with a leading analytics engineering platform and contribute to the growth and success of the company.</li>\n<li>Collaborative and dynamic work environment with a team of experienced professionals.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you are a motivated and experienced security professional looking for a new challenge, please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6c1cd36d-464","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4674498005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Security Operations","Incident Response","Threat Hunting","Threat Detection","Cloud Security","Endpoint Security","Security Event Analysis","Security Incident Response","Tabletop Exercises","Game Days","Documentation","Training","Process Improvements","Mentoring","Security Engineering","Data Control Plane","Analytics Engineering","AI-Powered Data Engineering","Reliable High-Quality Data","Secure-By-Default Offerings","Pragmatic Risk Decisions","Multi-Cloud Production Environments","Identity","Endpoints","SaaS Technologies","Wiz Defend","Crowdstrike","Cloud Security Platforms","Detection Rules","Runbooks","Response Procedures","Mean Time to Detection","Mean Time to Response","AI Enrichment","AI Processing","Secure-By-Design Principles","Infrastructure Security","Application Security","Endpoint Security Controls","Monitoring"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:52:43.496Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Security Operations, Incident Response, Threat Hunting, Threat Detection, Cloud Security, Endpoint Security, Security Event Analysis, Security Incident Response, Tabletop Exercises, Game Days, Documentation, Training, Process Improvements, Mentoring, Security Engineering, Data Control Plane, Analytics Engineering, AI-Powered Data Engineering, Reliable High-Quality Data, Secure-By-Default Offerings, Pragmatic Risk Decisions, Multi-Cloud Production Environments, Identity, Endpoints, SaaS Technologies, Wiz Defend, Crowdstrike, Cloud Security Platforms, Detection Rules, Runbooks, Response Procedures, Mean Time to Detection, Mean Time to Response, AI Enrichment, AI Processing, Secure-By-Design Principles, Infrastructure Security, Application Security, Endpoint Security Controls, Monitoring"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73b18ca5-83e"},"title":"Customer Systems Administrator","description":"<p>As a Customer Systems Administrator on the Customer Systems team within Dropbox&#39;s Go-To-Market organization, you will play a crucial role in platform administration, access governance, and operational reliability across the systems that power Dropbox&#39;s customer-facing operations.</p>\n<p>Day to day, you&#39;ll be configuring and maintaining platforms across the customer lifecycle, enforcing security and access control policies, and driving AI-powered tooling and automations. You&#39;ll gain direct ownership of production systems that the business relies on daily, deep cross-functional exposure to Engineering and Customer Experience and Success, access to industry-leading AI tooling, and the opportunity to shape how customer tooling scales at Dropbox.</p>\n<p>Responsibilities:</p>\n<p>Manage and evolve the team&#39;s portfolio of support and post-sales platforms to meet the changing needs of the Customer Experience and Customer Success organizations.</p>\n<p>Serve as a primary on-call responder, owning incident resolution and stakeholder communication during platform disruptions.</p>\n<p>Drive the adoption and integration of AI-powered tools and automations across customer platforms to improve user efficiency and customer outcomes.</p>\n<p>Partner with Engineering and Customer Experience and Success to translate business needs into platform solutions.</p>\n<p>Identify and execute platform improvements that reduce operational friction, increase reliability, and scale with the business.</p>\n<p>Build and maintain the team&#39;s automation tooling and scripting infrastructure.</p>\n<p>Establish and maintain the documentation standards that keep the team operationally resilient, including SOPs, runbooks, and system guides.</p>\n<p>Requirements:</p>\n<p>4+ years of proven experience administering enterprise support or customer platforms in a production environment.</p>\n<p>Proficiency with AI tools and scripting languages (e.g., Python, Bash, JavaScript), with a demonstrated comfort incorporating both into daily workflows to increase efficiency and output.</p>\n<p>Demonstrated experience managing multi-platform environments.</p>\n<p>Experience governing platform access , provisioning, role-based access control, and security policy enforcement.</p>\n<p>Track record of shipping platform changes through structured processes: scoping, testing, communicating, and deploying without disruption.</p>\n<p>Operational maturity with demonstrated experienced owning incident response, triaging escalations, and maintaining composure under pressure.</p>\n<p>Ability to produce and maintain clear, structured documentation , SOPs, runbooks, and system guides that are accessible to both technical and non-technical audiences.</p>\n<p>Preferred Qualifications:</p>\n<p>Experience administering support platforms such as Zendesk, Amazon Connect, or similar contact center and ticketing systems.</p>\n<p>Proven experience deploying AI tooling or automation frameworks to improve team workflows and operational efficiency.</p>\n<p>Working knowledge of AWS services, cloud infrastructure fundamentals, and familiarity with modern data platforms such as Databricks.</p>\n<p>Experience with sales platforms, supporting Sales &amp; 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The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.</p>\n<p>In this role, you&#39;ll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you&#39;ll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.</li>\n</ul>\n<ul>\n<li>Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.</li>\n</ul>\n<ul>\n<li>Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.</li>\n</ul>\n<ul>\n<li>Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.</li>\n</ul>\n<ul>\n<li>Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.</li>\n</ul>\n<ul>\n<li>Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.</li>\n</ul>\n<ul>\n<li>Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.</li>\n</ul>\n<ul>\n<li>Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.</li>\n</ul>\n<p>This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9537437b-e23","directApply":true,"hiringOrganization":{"@type":"Organization","name":"GitLab","sameAs":"https://about.gitlab.com/","logo":"https://logos.yubhub.co/about.gitlab.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gitlab/jobs/8481945002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Rust","ClickHouse","NATS JetStream","Data Insights Platform","graph data modeling","query patterns","property graphs","Cypher/GQL","n-hop traversals","aggregations","multi-tenant isolation","service level objectives","observability","runbooks","incident response","capacity planning","production readiness","AI-assisted development workflows","MCP-aware tools","Knowledge Graph-backed agents","internal Duo tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:38.397Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Rust, ClickHouse, NATS JetStream, Data Insights Platform, graph data modeling, query patterns, property graphs, Cypher/GQL, n-hop traversals, aggregations, multi-tenant isolation, service level objectives, observability, runbooks, incident response, capacity planning, production readiness, AI-assisted development workflows, MCP-aware tools, Knowledge Graph-backed agents, internal Duo tooling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1dc3f3a4-ced"},"title":"Senior Integrations Engineer","description":"<p>At Eve, we&#39;re redefining what&#39;s possible in legal technology. Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.</p>\n<p>We believe the future of law will be built by &#39;AI-Native Law Firms&#39; , firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work. Eve&#39;s technology augments the capabilities of attorneys across every stage of a case , from intake and document review to strategy and settlement , so they can focus on what truly matters: achieving the best outcomes for their clients.</p>\n<p><strong>Why Join Eve:</strong></p>\n<p>Product-market fit: Eve is used by over 550+ law firms, and we&#39;re growing fast. Backed by top investors: We&#39;ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We&#39;re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. Our revenue model is consumption-based (per legal matter), which means our success is directly tied to how deeply customers adopt the product. That starts with integration. Customers with connected CMS integrations retain and expand at significantly higher rates, and nearly every account that has expanded started with a completed integration.</p>\n<p><strong>Why This Role:</strong></p>\n<p>You&#39;ll own the end-to-end integration experience for Eve&#39;s customers, from contract signed to integration live and usable. Eve integrates with multiple major case management platforms, each with its own API patterns, authentication models, deployment quirks, and edge cases. Some are cloud-native with clean REST APIs. Others are self-hosted on-prem systems behind firewalls that require weeks of configuration. Your job is to figure out the right integration path for each customer and drive it to completion. This is not a project management role, but it&#39;s not a pure engineering role either. You&#39;ll split your time between hands-on technical work (configuration, validation, debugging, scripting) and customer-facing delivery (implementation planning, expectation setting, vendor coordination, internal handoffs).</p>\n<p><strong>What You Will Accomplish:</strong></p>\n<p>Own integration delivery for customers from post-sale through go-live: scoping the integration path, validating configuration (auth setup, tenant and environment validation, allowlisting, callback/redirect setup, granular permissions, document store configuration), testing in sandbox and live environments, and driving to completion Scope integration approaches for new CMS partners, prototype solutions, and deliver technical requirements to Engineering for productization Manage strategic vendor relationships: pressuring vendors for API access, proving whether issues are on their side or ours, identifying unsupported or undocumented API behavior, and negotiating workarounds when standard paths don’t exist Debug and resolve production integration issues by tracing through logs, isolating the layer (our side, vendor side, or customer config), and resolving or routing to Engineering with a clear diagnosis Build the assets required to scale integration delivery: implementation playbooks, vendor-specific setup guides, troubleshooting matrices, customer readiness checklists, known limitation documentation, escalation criteria, and handoff notes for the CS team Identify patterns across customer integrations and feed productization requirements back to Engineering, without duplicating the platform Engineering owns</p>\n<p><strong>What We Are Looking For:</strong></p>\n<p>3-5+ years building, configuring, and debugging production API integrations (REST APIs, pagination, rate limiting, retry logic) Experience owning implementation delivery end-to-end, not just building integrations but driving them to completion with customers Proficiency in Python or Node.js (Python preferred) for scripting, data transformation, and API orchestration Hands-on experience with OAuth 2.0, JWT, token refresh cycles, and permission/scoping troubleshooting Comfortable working with webhooks and debugging common failure modes (expiry, missed events, configuration drift) Experience mapping data across systems that represent the same concepts differently Strong communication skills for customer calls, vendor negotiations, and internal coordination Interest in legal technology and how law firms operate</p>\n<p><strong>You’ll Thrive in This Role If You Have:</strong></p>\n<p>Direct experience with legal tech platforms (Clio, Filevine, SmartAdvocate, Litify) iPaaS or integration platform experience (Workato, Celigo, Mulesoft, Tray.io) A track record of creating implementation documentation, runbooks, or process guides that other teams use SQL familiarity and ability to reason about how integration data flows into a data warehouse On-prem and hybrid deployment experience with self-hosted systems, firewall rules, and VPNs Multi-tenant integration management across hundreds of customer accounts Experience building observability and alerting for integrations at scale</p>\n<p><strong>Additional Information:</strong></p>\n<p>Benefits: Competitive Salary &amp; 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