• Administer and maintain Jira Cloud, Confluence Cloud, Loom, and Atlassian Rovo. • Configure and support projects, workflows, permissions, custom fields, issue types, screens, and configuration schemes. • Support platform upgrades, feature rollouts, and configuration changes. • Monitor platform health, reliability, and performance. • Troubleshoot platform issues and coordinate with Atlassian support when required. • Implement established governance standards and platform best practices. • Perform platform cleanup and hygiene activities, including workflows, permissions, custom fields, schemes, and unused projects. • Support standardization initiatives across Jira and Confluence. • Help reduce platform complexity and technical debt. • Build and maintain Jira Automation rules and workflow enhancements. • Develop integrations using Atlassian REST APIs and approved automation platforms. • Implement solutions designed by senior team members and platform owners. • Support automation of onboarding, approvals, notifications, reporting, and operational workflows. • Act as an escalation point for advanced Atlassian platform issues. • Troubleshoot complex Jira, Confluence, and Loom issues. • Build and maintain dashboards, reports, and analytics.

Role Description Arkestro is hiring for a Senior SRE Engineer to manage our performance and reliability for our software platform and infrastructure. The right candidate will own and develop our infrastructural components. They will be responsible for managing the deployment of product updates, identifying production issues, and improving infrastructure across the platform. They will collaborate with software engineers, data scientists, data engineers, as well as product managers and other functions across the company. - Building and setting up new development tools and infrastructure - Working on ways to automate and improve development and release processes - Management of existing cloud infrastructure - Document and act as subject matter expert for practices and policies involving infrastructure - Improve reliability, quality, and time-to-market of our suite of software solutions - Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement - Provide primary operational support and engineering for distributed software applications - Continuously integrate production context back into the development lifecycle, ensuring the system learns from past incidents to prevent recurring issues Qualifications - 5+ years of experience with various AWS products, like S3, RDS, Elastic Containers, etc. - 5+ years of experience with Kubernetes or other orchestration products - 3+ years of experience with Infrastructure as Code - 3+ years of experience with using observability platforms and log management, like Datadog, Splunk, Rigor, etc. - 6 months+ of experience working with LLMs, prompt engineering, harness engineering, or AIOps tooling - 6 months+ of SDLC AI native usage via Claude Code, Claude Cowork or similar - Excellent communications skills, the ability to learn on the fly, and a desire for ownership Benefits - Competitive salary and startup equity - Medical, Dental, Vision insurance premiums covered up to 100% (employee only) - 401K discretionary employer matching - Unlimited PTO - A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits - Annual budget of $1,000 for learning and professional development - Diverse, inclusive, highly collaborative, and vibrant culture Company Description Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster. Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed. We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact. See Arkestro in action at arkestro.com . Disclaimer Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice.

• Serve as a senior escalation engineer for Microsoft 365, Exchange Online, and on-premises Exchange environments. • Troubleshoot and resolve complex technical issues across varying priority levels while maintaining exceptional client service. • Design, plan, and execute Exchange to Microsoft 365 migration projects, including hybrid and coexistence environments. • Administer and support Microsoft 365 services including Exchange Online, Entra ID (Azure AD), SharePoint Online, Teams, Intune, Defender, and Purview Compliance. • Perform advanced troubleshooting related to Active Directory, Azure AD Connect, hybrid identity, mail flow, authentication, and directory synchronization. • Utilize PowerShell scripting to automate administrative tasks, expedite troubleshooting, generate reporting, and improve operational efficiency. • Identify and remediate migration blockers using tools such as ADSI Edit, Active Directory utilities, and Microsoft diagnostic tools. • Support and manage third-party migration tools and technologies utilized during tenant migrations and consolidations. • Collaborate with project teams, stakeholders, and clients to ensure successful delivery of technical projects. • Lead technical implementations and provide guidance to engineers during complex project engagements. • Document technical procedures, solutions, and project deliverables according to organizational standards. • Manage project responsibilities independently when a dedicated project manager is not assigned. • Balance ticket-based support activities with project commitments while maintaining service quality and meeting deadlines. • Escalate issues appropriately based on business impact, urgency, and technical complexity. • Participate in after-hours maintenance, migration activities, and critical incident response when required. • Communicate effectively with leadership, clients, and team members regarding project status, risks, and technical recommendations. • Assist with process improvement initiatives and contribute to the best technical practices across the organization.

Role Description Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers. - Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. - You will help teams understand what is working, what is breaking and why. - You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour, including: - Numerical precision - Quantisation - Attention mechanisms - Distributed execution - Model subgraphs - This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure. Qualifications - Strong experience in Machine Learning or ML-adjacent software engineering roles. - A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs. - Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools. - Strong Python skills for automation, experimentation, benchmarking and reporting. - Experience designing, running and analysing ML benchmarks or model experiments. - Confident debugging skills in Linux, with curiosity about model behaviour and system performance. Benefits - Unlimited annual leave - Up to 5% matched pension - Phantom equity – share in Graphcore’s success - True flexibility in how and where you work - Office spaces designed for collaboration - Free food and an on-site barista - Health cash plan - Income protection - Life assurance - Along with other benefits you can choose from (private medical insurance, dental plan etc)