Atlassian Cloud Migration Engineer
Lead and execute Atlassian Cloud migrations for Jira and Confluence using JCMA and CCMA tools. Manage the remediation of ScriptRunner scripts by retiring, replacing, or rewriting them for the Cloud environment.
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Lead and execute Atlassian Cloud migrations for Jira and Confluence using JCMA and CCMA tools. Manage the remediation of ScriptRunner scripts by retiring, replacing, or rewriting them for the Cloud environment.
The role involves developing and maintaining autonomous mission planning algorithms for satellite constellations while translating product concepts into technical requirements. You will collaborate with cross-functional teams to model satellite subsystems and support constellation operations, including occasional 24/7 support during critical mission phases.
Lead the design, development, and delivery of modern enterprise data platforms within a cloud environment. Coordinate distributed onshore and offshore teams while driving migration and modernization initiatives for legacy data architectures.
You will build and maintain real-time anti-abuse systems, including detection pipelines and automated enforcement layers to protect the platform. Additionally, you will develop ML classifiers and ensure all security actions are traceable through comprehensive logs and metrics.
The Senior IT Engineer will own and evolve the internal IT stack, including identity management, device lifecycle, and SaaS tools. They will also act as the primary responder for IT issues and partner with the security team to ensure compliance with audit requirements.
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Design and maintain a robust, scalable Finance-grade data warehouse and semantic layer to support financial reporting and audit requirements. Partner with Finance and Accounting leadership to enforce data governance, reconciliation standards, and automated data quality controls.
You will design, implement, and optimize distributed training systems for large-scale multimodal models across thousands of GPUs. Additionally, you will build monitoring and debugging tools to ensure training stability, convergence, and efficient resource utilization.
You will profile and optimize GPU, CPU, and accelerator code to ensure multimodal models train efficiently and deploy at scale. This involves writing high-performance kernels, developing fused operations, and building automation tools for performance monitoring.
The Associate BI Analyst assists in collecting, cleaning, and interpreting data sets to support business or clinical decision-making. They collaborate with internal partners to develop reporting solutions and provide analytic insights while managing projects under supervision.
The Senior Business Analyst will act as the primary interface between business stakeholders and technology teams to define and refine requirements. They will also support the management of backlogs, perform process analysis, and oversee the validation of solutions throughout the software development lifecycle.
The Lead AI Engineer will design and deliver agentic AI capabilities while actively writing production code and leading a small team of engineers. They are responsible for architecting multi-step AI workflows and integrating LLMs into user-facing platform experiences.
The role involves programming, validating, and delivering high-quality NONMEM-ready PK/PD datasets while ensuring compliance with SDTM/ADaM standards. The programmer will also conduct quality control of datasets and collaborate with cross-functional teams to resolve data issues and support regulatory submissions.
The Business Analyst will conduct discovery and process mapping to design AI-driven solutions for JLL business lines. They are responsible for building quantitative baselines, writing business requirements, and supporting the implementation and adoption of these solutions.
Design and deliver production-grade AI systems, including machine learning pipelines, generative AI, and agentic workflows. Collaborate with cross-functional teams to translate technical constraints into measurable customer value and operational outcomes.
The engineer will evaluate sites for modular GPU-compute nodes, defining electrical infrastructure upgrades and managing the deployment from diligence through commissioning. They will coordinate with utility providers, contractors, and internal teams to ensure installations are safe, reliable, and compliant with building operations.
You will be responsible for building and nurturing a high-performing engineering team while balancing people leadership, execution management, and technical guidance. The role involves overseeing sprint rituals, removing blockers, and acting as a bridge between leadership priorities and engineering execution.
The Senior AI Engineer will design and deploy production-grade Generative AI systems, including RAG pipelines and agent-based workflows on AWS. They will collaborate with cross-functional teams to transform POCs into reliable, scalable AI solutions while optimizing for performance and cost.
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You will design, build, and maintain scalable software solutions while integrating AI and data science capabilities into production workflows. Additionally, you will lead technical projects, define engineering standards, and mentor team members to ensure high-quality, reliable system performance.
You will design, build, and maintain a vendor data platform, managing the end-to-end lifecycle from backend APIs to frontend interfaces. You will also own data mastering processes, including matching, deduplication, and scaling the platform for multiple client tenants.
The Business Analyst/Project Manager will bridge the gap between business, data, and IT teams to structure and deploy a unified dashboard of strategic performance indicators. They will be responsible for gathering requirements, defining the implementation roadmap for 2027, and coordinating transformation projects within the insurance sector.
You will design and develop scalable data pipelines and architectures on Google Cloud Platform while managing production environments. Additionally, you will act as a primary contact for business stakeholders to translate their requirements into effective, high-performance data solutions.
Design and develop features for the AlertMedia product suite while leveraging AI-assisted tools to improve engineering workflows and productivity. Collaborate with cross-functional teams to drive architectural evolution and contribute to the company's innovative technology roadmap.
You will lead the development of an automation practice by consolidating existing scripts into a unified Ansible-based framework. This involves managing continuous patching, deployment automation, and infrastructure transformations for both legacy systems and a new OpenStack platform.
You will manage end-to-end billing and order-to-cash processes for cloud products while ensuring financial accuracy and compliance. Additionally, you will act as a key interface between internal teams and customers to support commercial evaluations and process standardization.
The Customer Architect serves as a technical expert to ensure customers achieve maximum value from the Reltio platform through strategic alignment and advisory services. This role involves managing customer ticket portfolios, coordinating escalation paths, and advocating for customer needs to drive product enhancements.
The Integration Specialist will drive the adoption and growth of the LightForce orthodontic system by providing clinical support, training, and operational insights to practice teams. They will collaborate with sales and marketing to assess customer needs, implement workflows, and ensure a positive customer experience.
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Design, develop, and maintain Power BI dashboards and SSRS reports to support operational decision-making. Collaborate with cross-functional teams to translate business requirements into actionable data models and insights.
Design, develop, and deploy advanced AI software applications while ensuring scalability, performance, and integration with enterprise systems. Lead technical implementation efforts and mentor junior engineers to maintain high-quality production software standards.
The Data Architect will lead the design and delivery of data foundations for enterprise customers, focusing on migrating legacy Adobe solutions to modern platforms. Responsibilities include developing data models, building ingestion pipelines, and ensuring data governance and quality across analytics, content, and commerce domains.
The AI Security Engineer will design and implement security controls to protect AI and machine learning workloads against adversarial threats and data exposure. This role involves building detection pipelines, conducting adversarial testing, and bridging the gap between data science and security teams.
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