Senior Engineer (Platform)
Design and build multi-tenant platform infrastructure to support AI agents at scale. Manage the end-to-end lifecycle of platform features, including architecture, deployment, and observability.
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Design and build multi-tenant platform infrastructure to support AI agents at scale. Manage the end-to-end lifecycle of platform features, including architecture, deployment, and observability.
The engineer will design, build, and maintain a large-scale, S3-compatible object storage solution across thousands of Linux servers. They will also lead technical projects, mentor junior engineers, and collaborate with cross-functional teams to optimize system performance and reliability.
The Senior Site Reliability Engineer will oversee, scale, and optimize next-generation AI hardware infrastructure while ensuring high uptime and reliability. Responsibilities include developing automation tools, managing incident responses, and designing telemetry pipelines for high-density environments.
You will design, build, and optimize scalable data pipelines to integrate large volumes of data into the analytics platform. Additionally, you will collaborate with cross-functional teams to ensure data quality, governance, and system performance.
You will design, develop, and maintain scalable backend services using Java and Spring Boot while leveraging AI-assisted tools to accelerate delivery. The role involves collaborating with cross-functional teams to ensure system reliability, observability, and operational excellence.
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You will support client projects by designing technical solutions and developing proof-of-concepts. Additionally, you will act as a consultant to explain complex issues to clients and provide strategic business advice.
The engineer will build REST APIs, customer-facing React components, and CICD pipelines to support core customer experiences. They will also configure monitoring for backend services and develop integrations with the content management system.
The Principal Machine Learning Engineer will lead the development and deployment of production-grade ML models while driving technical strategy across engineering teams. They will also mentor junior and senior engineers and collaborate with cross-functional partners to integrate AI capabilities into Atlassian products.
Drive incremental revenue by architecting enterprise-wide cloud data security solutions for complex sales opportunities. Manage proof of values, conduct technical demonstrations, and act as the primary technical point of contact for partners and executive stakeholders.
Drive incremental revenue by architecting enterprise-wide cloud data security solutions for complex sales opportunities. Manage proof of values, deliver technical demonstrations, and act as the primary technical point of contact for partners and executive stakeholders.
The Sales Engineer will drive revenue by architecting cloud data security solutions and managing complex sales opportunities. They are responsible for conducting proof of values, delivering technical demonstrations, and acting as a key technical point of contact for partners.
The SLED Presales Engineer acts as a technical advisor to support sales teams and partners in modernizing network infrastructure for public sector clients. This role involves leading discovery sessions, designing end-to-end networking solutions, and delivering technical presentations to drive business growth.
You will design, build, and deploy LLM-powered agentic workflows that integrate with enterprise tools and data sources. You will also collaborate directly with customers to translate complex business problems into reliable, production-grade AI solutions.
Lead the end-to-end deployment of the North AI platform in private cloud and on-premises environments for enterprise clients. Partner with IT teams to assess infrastructure and security requirements while troubleshooting deployment-related technical issues.
You will own the development and maintenance of the Buildkite Agent, ensuring high reliability and performance for global engineering teams. You will also participate in team rotations to handle incidents, support solutions, and contribute to the product roadmap.
You will own the marketing-sourced and influenced pipeline by orchestrating multi-agent workflows and demand engineering for product launches. Additionally, you will act as a utility player, supporting sales, product, and internal systems to drive high-velocity growth.
You will design, develop, and maintain scalable software applications using Elixir and Python to power a healthcare imaging data platform. Additionally, you will provide technical leadership, mentor team members, and collaborate cross-functionally to drive long-term platform strategy.
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The Continuous Improvement Engineer leads fleet-wide operational excellence initiatives, including performance measurement, loss accounting, and the development of KPIs and dashboards. They work cross-functionally to identify performance gaps, optimize costs, and drive sustainable improvements across RNG and renewable power facilities.
The Reliability Engineer provides centralized leadership to improve equipment availability, maintenance effectiveness, and long-term asset reliability across the Biogas fleet. They are responsible for leading root cause analyses, developing predictive maintenance strategies, and managing unplanned event reduction programs.
You will lead the developer experience strategy to double R&D output by optimizing CI/CD, build tooling, and deployment paths. You will also remain hands-on by writing code and integrating agentic coding tools to improve engineering productivity.
The Agent Engineer will configure and deploy integrations with HRIS and document management systems while building agentic HR workflows using the Wisq AI platform. They will also act as a technical bridge to customers, gathering requirements and advocating for product improvements based on user feedback.
Design, develop, and maintain full-stack application features and services with a focus on AI-powered product experiences. Collaborate with cross-functional teams to ensure system reliability, scalability, and high-performance delivery.
You will design and build end-to-end AI agent features, including RAG and tool-use capabilities, while managing production performance and reliability. Additionally, you will define evaluation strategies for AI outputs and drive model iteration to ensure high-quality, cost-effective system performance.
The Sales Engineer will act as the technical authority for architecting and integrating network encryption hardware and management software into enterprise environments. They are responsible for leading technical demonstrations, Proof of Concepts, and guiding clients through the pre-sales evaluation process.
The Lead Systems Engineer will bridge the gap between high-level DoDAF architecture and tactical software engineering. Responsibilities include authoring the Systems Engineering Management Plan and coordinating with QA to trace verification methods.
You will design interactive Power BI dashboards and paginated reports to help commanders assess force readiness. Responsibilities include building DirectQuery models over Azure SQL and implementing complex Row-Level Security.
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You will be responsible for building and maintaining automated CI/CD pipelines to scan code for vulnerabilities. Additionally, you will deploy hardened infrastructure and enforce security standards like DISA STIGs using infrastructure as code.
You will manage the day-to-day health of the enterprise identity backend, including Azure AD configuration and directory syncs. Additionally, you will enforce conditional access policies and manage RBAC assignments for Power Platform applications.
Execute Hardware-in-the-Loop (HIL) testing across smartwatches, mobile apps, and cloud databases. Author requirement traceability verification matrices and comprehensive test plans and reports.
The Senior Engineer will own the end-to-end architecture of automation solutions, including process discovery, design, and production deployment. They will also lead technical teams, set quality standards, and mentor junior developers while building reusable automation frameworks.
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