Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. About Atlassian Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed. Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity. About Central AI Org Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to: - Develop horizontal AI capabilities and infrastructure that can be leveraged across all products. - Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products. - Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem. About AI & ML Platform Team Our team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications. About This Role As a Senior Engineer on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues. This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results. In this role, you'll get the chance to: - Collaborate with your teammates to solve complex problems, from technical design to launch. - Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers. - Deliver code reviews, documentation & bug fixes within a strong engineering culture - Partner across engineering teams to take on company-wide initiatives spanning multiple projects. - Mentor junior members of the team. On your first day, we'll expect you to have - 5+ years of experience in building Machine Learning and AI infra/platform/system - Comprehensive ML lifecycle expertise: proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring. - Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning. - MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models. It would be great, but not required if you have - Proficiency with frameworks and languages: Expert-level proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX. Familiarity with other languages like Go, Java, or Scala is also beneficial. - Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs. - Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask. - Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure. - Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems. At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $180,000 - $235,000 Zone B: $162,000 - $211,500 Zone C: $149,400 - $195,050 Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

• Orchestrate Vulnerability Scanning Infrastructure: Configure, schedule, and maintain authenticated credentials, scan policies, and asset groups across client networks and cloud-native environments using enterprise platforms (Tenable/Nessus, Qualys, Rapid7 InsightVM, and Vanta). • Execute Threat Analysis and Risk Prioritization: Evaluate raw scan outputs and filter false positives; apply advanced risk-based prioritization data utilizing CVSS base scores, EPSS real-time exploit indices, global threat intelligence feeds, and critical client asset contexts. • Drive Collaborative Remediation and Governance: Translate technical vulnerabilities into clear, actionable architectural guidance and patch-management workflows; partner directly inside the trenches with client software engineers and IT teams to multi-thread remediation efforts and accelerate their sub-30-day time-to-remediate velocity. • Manage Exceptions and Audit Compliance: Document, verify, and track formal client requests for temporary vulnerability exceptions or long-term risk acceptances; map operational patching data directly to control evidence required for regulatory audits (SOC 2, ISO 27001, HIPAA, CMMC, and NIST). • Own the Advisory Client Experience: Act as the strategic primary point of contact and trusted security advisor for an assigned portfolio of fast-growth startups; deliver regular project milestones, handle high-priority technical escalations with calm professionalism, and generate regular status reports and executive summaries that communicate technical risk as clear business value.

As an Engineer in our newly formed UK Regional Team, you will deliver the features most critical to Xero’s success in the UK. You will play a vital role in responding to the voice of our customers, ensuring we have the right product for the UK to directly drive business success. You will independently solve complex problems across Xero’s products, ensuring technical excellence while navigating the complexity between regional needs and global roadmaps to deliver maximum value. The team & how they connect You will join a high-calibre team consisting of an Engineering Manager, Lead Engineers, and Senior Engineers, reporting to the General Manager of Engineering for the UK. The team works as a flexible, versatile team, collaborating with various product owners across Xero to design, build, and ship solutions. The team is currently working on Get ready for diverse, high-impact work that touches every corner of Xero. You’ll tackle projects anywhere across Xero’s products from Payments to Accounting to Payroll, offering you unparalleled exposure to our entire platform. Where and how you can work Xero is a “Great Place to Work UK” accredited company. We offer remote, hybrid or office based roles (hybrid and in-office in London, Milton Keynes or Manchester). Our offices offer boost days for connection and collaboration. As this role involves partnering with global teams, you can expect opportunities for travel as we collaborate with colleagues around the world. Here are some of the things we are looking for - You bring a curious mindset and are motivated by solving customer problems and delivering business value rather than focusing on a single technical domain. - You love the challenge of new things, and your versatility allows you to ramp up quickly in new areas, mastering unfamiliar codebases and domain knowledge quickly. - You possess the grit to push through obstacles and the influencing skills required to collaborate effectively with teams across Xero’s global engineering organisation. - A commitment to high-quality engineering practices ensures the code you ship is robust, scalable, and ready for long-term ownership by partner teams. - You thrive in an environment of high visibility, using your communication skills to engage with stakeholders and grow your professional influence. - Experience in resilient software design and agile development helps you maintain a fast-track delivery pace across diverse projects. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Join a Great Place to Work-Certified™ company where your voice matters.

Role Description North Point Technology is seeking an experienced MES Controls Engineer to support manufacturing operations in a high-volume discrete manufacturing environment. This role focuses on Manufacturing Execution Systems (MES), PLC integration, real-time production execution, and automation system reliability. The ideal candidate will work closely with engineering, operations, and production teams to support and optimize MES-driven manufacturing processes. - Support MES-to-PLC integrations during system launches, production ramp-ups, and ongoing manufacturing operations. - Configure, establish, and maintain communications between MES and PLC systems. - Integrate MES template routines and user-defined data types (UDTs) into PLC programs. - Create, modify, and maintain PLC tags and logic required to support MES transactions and production reporting. - Collaborate with Process Engineers and MES teams to ensure successful integration of manufacturing processes. - Document MES-related PLC modifications, troubleshooting activities, and production support efforts. - Troubleshoot PLC, HMI, and industrial network issues impacting MES functionality and production execution. - Support the accuracy and integrity of real-time production reporting and manufacturing data. - Assist in resolving production issues affecting throughput, efficiency, quality, and system performance. - Partner with production supervisors, operators, and engineering teams to support effective manufacturing workflows. - Support MES-based quality validation and enforcement processes. - Maintain and manage part numbers, product structures, and production data within the MES environment. - Assist with audits, investigations, root cause analysis, and manufacturing data requests. - Identify opportunities to improve MES functionality, automation performance, and manufacturing processes. - Support MES enhancements, software updates, system upgrades, and new production rollouts. Qualifications - Bachelor’s degree in Engineering, Automation, Manufacturing, Electrical Engineering, Computer Engineering, or a related technical discipline. - Experience working with Allen-Bradley/Rockwell and Siemens PLC and HMI platforms. - Strong PLC programming, troubleshooting, and diagnostic skills. - Experience supporting manufacturing automation and industrial control systems. - Knowledge of industrial networking and plant-floor communication protocols. - Ability to analyze and resolve complex production and system integration issues. - Strong communication skills and ability to work effectively with engineering, operations, and production teams. Requirements - Experience supporting Manufacturing Execution Systems (MES) in a production environment. - Experience integrating ERP, MES, and PLC systems. - Knowledge of discrete manufacturing processes. - Experience supporting system implementations, upgrades, and production launches. - Familiarity with production reporting, manufacturing data collection, and quality management systems. - Experience with continuous improvement initiatives and manufacturing process optimization. Benefits North Point Technology is the best place to work for curious-minded engineers motivated to support our country’s most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer’s most difficult problems. At North Point Technology, employees come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.