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Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
AI/ML Data Specialist
Qatar
Parsons is looking for an talented AI/ML Data Specialist to join our team! In this role you will get to oversee and manage the delivery of AI/ML and advanced analytics solutions within a large-scale Smart City program, ensuring alignment with project objectives, technical standards, and operational requirements.
What You'll Be Doing:<ul><li>
Provide technical oversight of AI/ML solution design and implementation within the Smart City platform.</li><li>
Manage and monitor the performance of the Master System Integrator (MSI) and multiple technology providers.</li><li>
Review and validate AI/ML architectures, models, and deliverables to ensure compliance with project specifications.</li><li>
Advise the Client and project teams on AI/ML applications, system enhancements, and integration strategies.</li><li>
Ensure alignment between AI capabilities, Big Data platforms, and overall Smart City architecture.</li><li>
Monitor data governance, quality, security, and lifecycle management practices.</li><li>
Support business case development, concept validation, and innovation initiatives.</li><li>
Coordinate across multidisciplinary teams to ensure timely and compliant delivery.</li></ul>
What Required Skills You'll Bring:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field (Master&rsquo;s preferred).</li><li>
10 years of professional experience, including 3 years overseeing AI/ML or advanced analytics programs.</li><li>
Strong understanding of machine learning, data analytics, and Big Data architectures.</li><li>
Experience managing system integrators and multi-vendor technology environments.</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and Data Lake ecosystems.</li><li>
Strong stakeholder management, reporting, and technical review capabilities.</li><li>
Excellent analytical, communication, and documentation skills.Technical Skills</li><li>
Strong expertise in Machine Learning and Deep Learning algorithms.</li><li>
Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn).</li><li>
Experience with SQL and Big Data technologies (Hadoop, Spark).</li><li>
Familiarity with real-time data processing frameworks.</li><li>
Strong knowledge of cloud AI/ML services (AWS, Azure, GCP).</li><li>
Experience in Data Lake architecture deployment (cloud, hybrid, on-prem).</li><li>
Proficiency in data visualization tools (Tableau, Power BI).</li><li>
Advanced skills in statistical modeling, data mining, and analytics.</li><li>
Familiarity with Excel, PowerPoint, and technical reporting.</li></ul>
What Desired Skills You'll Bring:<ul><li>
Experience in Smart City, infrastructure, or large-scale government programs.</li><li>
Familiarity with real-time data processing and IoT-integrated systems.</li><li>
Professional certifications in AI/ML, Cloud, or Project Management (PMP/Agile).</li><li>
Strong governance and compliance management experience within PMCM environments.</li></ul>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

AI/ML Data Specialist

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between frontier research and real-world impact. While we solve critical challenges for global governments, your role will extend beyond implementation. You will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.
 
 
 Your mission is threefold:
 
 
 <ul>
 <li>
 Frontier Research &amp; Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
 </li>
 <li>
 Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
 </li>
 <li>
 Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.
 
 
 </li>
 </ul>
 
 You will:
 
 
 
 <ul>
 <li>
 Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond &ldquo;off-the-shelf&rdquo; solutions to create custom architectures for complex public sector reasoning tasks.
 </li>
 <li>
 Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
 </li>
 <li>
 Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
 </li>
 <li>
 Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
 </li>
 <li>
 Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
 </li>
 <li>
 Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 Advanced Degree: PhD or Master&rsquo;s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
 </li>
 <li>
 Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
 </li>
 <li>
 Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
 </li>
 <li>
 Safety Expertise: Experience in alignment, robustness, or interpretability research.
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience with large-scale distributed training on massive clusters.
 </li>
 <li>
 Experience in building agentic systems that are reliable.
 </li>
 <li>
 Experience in Sovereign AI or working with highly regulated data environments.
 </li>
 <li>
 A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, International Public Sector

Management Solutions International (MSI)

<div>
 
 
 Full Stack Software Engineer (Forward Deployed), International Public Sector
 
 
 
 
 
 
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 <ol>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for custom LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 </li>
 </ol>
 <ul>
 <li>
 As a Full Stack Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
 </li>
 <li>
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 </li>
 </ul>
 
 
 You will:
 
 
 <ul>
 <li>
 Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
 </li>
 <li>
 Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
 </li>
 <li>
 Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
 </li>
 <li>
 Contribute to core platform features designed to be reused across diverse international client use cases.
 </li>
 <li>
 Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.
 </li>
 </ul>
 
 
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related quantitative field
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
 </li>
 <li>
 Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
 </li>
 <li>
 Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
 </li>
 <li>
 A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
 </li>
 <li>
 Driven async communication methodologies to reduce communication frictions
 </li>
 </ul>
 
 
 Nice to haves:
 
 
 <ul>
 <li>
 Past experience working in a forward deployed engineer / dedicated customer engineer role
 </li>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 </li>
 </ul>
</div>

Full Stack Software Engineer (Forward Deployed)

Tarjama&

<div>Our Client's International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.
Our core work consists of:
<ul><li>Creating custom AI applications that will impact millions of citizens
</li><li>Generating high-quality training data for custom LLMs
</li><li>Upskilling and advisory services to spread the impact of AI
</li></ul>As a Full Stack Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
You will:
<ul><li>Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
</li><li>Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
</li><li>Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
</li><li>Contribute to core platform features designed to be reused across diverse international client use cases.
</li><li>Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.</li></ul>
Ideally you&rsquo;d have:
<ul><li>Bachelor&rsquo;s degree in Computer Science or a related quantitative field
</li><li>5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.</li><li>
Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
</li><li>Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
</li><li>A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.</li><li>
Driven async communication methodologies to reduce communication frictions
</li></ul>Nice to haves:
<ul><li>Proficient in Arabic
</li><li>Past experience working in a forward deployed engineer / dedicated customer engineer role
</li><li>Experience working cross functionally with operations</li><li>
Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape</li></ul></div>

Full Stack Software Engineer (Forward Deployed)- 6-8 Months Contract

<div>Our client a growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.
Our core work consists of:
<ul><li>Creating custom AI applications that will impact millions of citizens
</li><li>Generating high-quality training data for custom LLMs
</li><li>Upskilling and advisory services to spread the impact of AI</li></ul>
As a Full Stack Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
You will:
<ul><li>Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation</li><li>
Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
</li><li>Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
</li><li>Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
</li><li>Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
</li><li>Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.
</li></ul>Ideally you&rsquo;d have:<ul><li>
Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
</li><li>10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).</li><li>
Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
</li><li>Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
</li><li>A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
</li><li>A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
</li><li>Proficient in Arabic</li></ul>
Nice to haves:
<ul><li>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
</li><li>Experience working cross functionally with operations
</li><li>Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.</li></ul></div>

Senior Full Stack Software Engineer (Forward Deployed), 6-8 Months Contract

PROZ TECHNOLOGIES

Job Description:The DevOps Engineer will design, implement, and maintain modern cloud-native infrastructure and continuous integration/continuous delivery (CI/CD) pipelines across enterprise and industrial digital platforms. This role combines software engineering, system administration, automation, and operations to deliver high-performing, scalable, and secure infrastructure supporting the organization&rsquo;s data and AI initiatives.The engineer will collaborate closely with data engineers, software developers, cloud architects, and cybersecurity teams to ensure consistent, automated, and compliant cloud deployments within a multi-cloud (Azure and GCP) environment.Key Responsibilities:Cloud Infrastructure &amp; Automation<ul><li>Design, build, and manage cloud infrastructure (Azure and GCP) using Infrastructure-as-Code (IaC) tools such as Terraform, ARM templates, and Ansible.</li><li>Automate provisioning, scaling, and configuration of compute, storage, and networking resources.</li><li>Implement and maintain container orchestration platforms such as Kubernetes, OpenShift, and Docker Swarmfor scalable deployments.</li><li>Develop and maintain GitOps workflows using Azure DevOps, GitHub Actions, or Jenkins for automated CI/CD processes.</li><li>Integrate infrastructure automation with Microsoft Graph, REST APIs, and ServiceNow for operational efficiency.</li></ul>CI/CD Pipeline Development<ul><li>Design and manage end-to-end CI/CD pipelines for application, data, and AI workloads.</li><li>Automate build, test, and deployment processes across environments (Dev, Test, Prod).</li><li>Integrate pipelines with code scanning, static analysis, and container security tools (e.g., Snyk, Aqua, Prisma Cloud).</li><li>Implement blue-green and canary deployments to ensure zero-downtime releases.</li></ul>Monitoring, Observability &amp; Reliability<ul><li>Implement comprehensive monitoring, logging, and alerting using Azure Monitor, Log Analytics, Prometheus, Grafana, and ELK Stack.</li><li>Develop automated alerts and dashboards for real-time performance, resource utilization, and cost monitoring.</li><li>Participate in incident response, root cause analysis, and performance optimization of infrastructure and pipelines</li></ul>Security, Compliance &amp; Governance<ul><li>Work closely with the cybersecurity team to integrate security-as-code and compliance controls within DevOps workflows.</li><li>Manage secrets, keys, and credentials using Azure Key Vault, and HashiCorp Vault.</li><li>Ensure compliance with ISO 27001, NIA Qatar, CIS Benchmarks, and corporate governance standards.</li><li>Implement network security controls (NSGs, firewalls, WAFs, VNETs) and enforce Zero Trust principles across CI/CD deployments.</li><li>Collaboration &amp; Continuous Improvement</li><li>Partner with Data Science and AI teams to operationalize model training and deployment pipelines (MLOps).</li><li>Collaborate with development teams to containerize and deploy cloud-native applications.</li><li>Identify and implement process improvements to enhance release velocity and reduce deployment risk.</li><li>Stay abreast of emerging technologies and DevOps trends to continuously evolve automation maturity.</li></ul>Required Skills and Qualifications:<ul><li>Bachelor's degree in computer science, Engineering, or related field (or equivalent professional experience).</li><li>10+ years of experience as a DevOps Engineer or Cloud Infrastructure Engineer in enterprise or industrial environments.</li><li>Proven expertise in CI/CD pipelines, automation, and cloud-based infrastructure.</li><li>Strong hands-on experience with at least one major cloud provider.</li><li>Infrastructure as Code: Terraform, Ansible, ARM Templates, CloudFormation.</li><li>CI/CD Tools: Azure DevOps, Jenkins, GitHub Actions, GitLab CI.</li><li>Containers &amp; Orchestration: Docker, Kubernetes, OpenShift.</li><li>Scripting &amp; Programming: Python, PowerShell, Bash, YAML.</li><li>Monitoring &amp; Observability: Azure Monitor, Log Analytics, Prometheus, Grafana, ELK Stack.</li><li>Version Control &amp; Collaboration: Git, GitHub, Azure Repos, Bitbucket.</li><li>Cloud Services Knowledge:</li><li>Compute (VMs, Functions, App Services)</li><li>Storage (Blob, S3, GCS)</li><li>Networking (VPCs/VNets, Load Balancers, VPNs, ExpressRoute)</li><li>Security (Key Vault, IAM, Defender for Cloud)</li><li>Good understanding of networking principles, cloud security, load balancing, and microservices architecture.</li><li>Experience in automation of monitoring, scaling, and deployments across hybrid cloud environments.</li></ul>Job Types: Full-time, Permanent, Contract Contract length: 12 monthsPay: Up to QAR20,000.00 per monthWork Location: In person

DevOps Engineer

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring a
 
 Golang Software Engineer
 
 at any seniority level, who strives for the highest engineering quality, seeks improvements, continuously develops their skills, and applies them at work. This is an exciting opportunity to work with many popular software systems, integrations technologies, and exciting open-source solutions.
 
 
 The Commercial Systems unit is conceived as six engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Golang plays an integral role in it. We are looking for software engineers for these teams:
 
 
 The
 
 Billing team
 
 designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business, payment systems. This team is an excellent match for any software engineer interested in growing their skills in the billing and payment processing domain.
 
 
 The
 
 Contracts
 
 team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system. This team is an excellent match for any software engineer interested in understanding sales and revenue processes and growing their skills beyond software engineering.
 
 
 The
 
 Livepatch
 
 team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches. This team is a great opportunity for a software engineer interested in security and with a strong focus on engineering quality and reliability.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Develop engineering solutions leveraging Golang
 </li>
 <li>
 Lead technical designs, code reviews, and implementation
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Coach, mentor, and offer career development feedback to colleagues
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with software development in Golang
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with accounting, sales, sales operations, or other business roles
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Golang Software Engineer, Commercial Systems

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