At Cloud Bridge, we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential.
Senior AWS Engineer
Location
United Kingdom
Posted
12 hours ago
Salary
£80K / year
Seniority
Senior
Job Description
Senior AWS Engineer
Cloud Bridge Tech Recruitment
Role Description We are seeking an experienced Senior AWS Engineer to join our Professional Services delivery team on a permanent basis. This is a hands-on, customer-facing delivery role within a consultancy environment - not an internal platform engineering position. - Design and build secure, well-architected AWS environments. - Lead the migration of customer workloads into AWS. - Deliver Landing Zone deployments, enterprise migration and estate-separation programmes. - Contribute to pre-sales scoping and effort estimation. Key Responsibilities - Design and build AWS Landing Zones and multi-account environments using Control Tower and Infrastructure as Code (CloudFormation and/or Terraform / CDK). - Lead and deliver enterprise migration and estate-separation programmes - migrating servers and workloads into AWS using AWS MGN and related tooling, across structured migration waves. - Migrate databases as part of infrastructure migrations to AWS - for example, moving on-premises MS SQL Server to Amazon RDS - using appropriate migration tooling and cutover approaches. - Design and implement AWS networking for migrations - Transit Gateway, VPN, hybrid connectivity - and deploy application platforms into the target environment. - Support live migration waves and cutovers in production, including planned out-of-hours activity where required. - Contribute to Well-Architected Reviews, security hardening, DR enablement and cost optimisation across customer estates. - Work directly with customer technical stakeholders as a trusted, credible engineer in a consultancy setting. - Collaborate with Solution Architects to translate designs into buildable solutions, and with Project Managers to deliver within SOW scope, timeline and budget. - Participate in pre-sales activities: solution scoping, effort estimation and input into Statements of Work and proposals. - Produce clear technical documentation - architecture diagrams, build guides, runbooks and handover material. - Mentor junior engineers and contribute to internal knowledge sharing and capability building. Qualifications - Demonstrable hands-on AWS engineering experience delivered within a Professional Services, consultancy or Managed Services environment. - Strong core AWS: compute, networking, storage, security and identity (EC2, VPC, S3, IAM, RDS, Lambda, CloudFront, CloudWatch and related services). - Proven experience delivering AWS migration programmes for external customers, including migrating servers and workloads into AWS. - Experience migrating databases as part of an infrastructure migration to AWS (e.g. on-premises MS SQL Server to Amazon RDS). - Proven experience building and provisioning infrastructure using Infrastructure as Code (CloudFormation and/or Terraform). - Experience designing and implementing AWS Landing Zones and multi-account governance. - Experience with architecture design work and the ability to estimate effort for consultancy engagements. - Confident working alongside Project Managers and Solution Architects within structured, SOW-driven delivery teams. - Excellent communication skills, comfortable in customer-facing delivery environments. - Based in the UK with the right to work; able to travel to customer sites and Cloud Bridge offices as needed. Desirable Experience - Experience using AI tools to support and accelerate delivery work (e.g. Kiro, Claude Code, Amazon Q, GitHub Copilot). - Exposure to delivering AI / data solutions for customers (e.g. GenAI / Amazon Bedrock use cases, data platforms and analytics). - Container platform experience (ECS, EKS) and CI/CD pipeline delivery. - DR enablement using AWS Elastic Disaster Recovery; enterprise identity integration. - Familiarity with security vendors (Palo Alto, Fortinet, CrowdStrike, SentinelOne). - Experience with AWS partner funding programmes (e.g. MAP, Well-Architected). - AWS certifications - Solutions Architect Associate / Professional, or equivalent. Personal Attributes - Pragmatic, delivery-focused and comfortable operating within fixed-scope engagements. - Strong attention to detail when executing build and migration activities. - Collaborative team player who works well within architect-led delivery teams. - Consultative mindset - able to build customer trust and communicate technical concepts to non-technical stakeholders. - Curious and efficiency-minded - continually looks for smarter, faster ways to deliver, including through AI-assisted tooling.
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Title : Silicon Validation Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Job Family Definition HPE is seeking a Silicon Validation Engineer to support the validation of HPE Slingshot™ ASIC products. HPE Slingshot is a high‑performance networking interconnect for HPC and AI clusters, delivering industry‑leading bandwidth, low latency, and scalability for demanding workloads. Slingshot implements Ultra Ethernet Consortium (UEC) capabilities and is aligned with the Ultra Ethernet standard, enabling next‑generation Ethernet semantics optimized for HPC and AI at scale. This position is a self‑sufficient individual contributor responsible for developing and executing chip‑level validation tests, with a primary focus on emulator‑based and system‑level testing. The engineer works closely with senior validation engineers, architecture, design, and software teams to validate ASIC functionality, identify defects, and improve test coverage across multiple product generations. Job Level Definition Applies solid to advanced subject matter knowledge in silicon validation to solve moderately complex technical problems. Works independently on assigned validation areas and test development, while receiving technical direction on broader validation strategy and priorities. Contributes to cross‑functional project teams and demonstrates sound judgment in selecting methods and techniques to achieve objectives. Location Prefer candidates to have hybrid attendance at a physical HPE site. US‑based, fully remote employment negotiable. Responsibilities - Develop, execute, and maintain chip‑level validation tests for HPE Slingshot NIC and switch ASICs, primarily using emulator‑based environments. - Create object‑oriented Python test infrastructure and test cases that operate at the operating‑system and system‑integration level. - Validate both HPE Slingshot–specific functionality and industry‑standard networking protocols. - Debug functional, performance, and reliability issues uncovered during silicon validation, working closely with design, architecture, firmware, and software teams. - Contribute to validation planning by identifying coverage gaps and proposing additional test scenarios within assigned areas. - Support bring‑up activities for new ASIC revisions and platforms. - Document validation results, defects, and lessons learned to improve future validation effectiveness. - Participate in design reviews, validation reviews, and post‑silicon issue triage. Education and Experience Required - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. - Typically 4–8 years of experience in VLSI validation, verification, or related silicon engineering roles. Required Knowledge and Skills - Proficiency with Python programming - Proficiency in object‑oriented programming - Experience writing tests for integrated circuits - Proficiency with Linux command‑line environments. - Working knowledge of Verilog or other hardware description languages. - Experience with ASIC silicon validation or post‑silicon testing. - Working knowledge of high‑speed networking concepts and protocols (Ethernet, SERDES fundamentals). - Ability to independently execute validation tasks and debug complex technical issues. - Strong written and verbal communication skills in English. Preferred Knowledge and Skills - Experience with emulator‑based validation or FPGA‑based platforms. - Familiarity with high‑performance NIC or switch ASICs. - Exposure to HPC or AI system architectures. - Experience with scripting (e.g., Bash) and test automation. - Familiarity with industry‑standard lossless Ethernet or RDMA‑based technologies. 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Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 111,000 - 211,000 in Colorado // 105,500 - 243,000 in Minnesota & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. 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ServiceNowServiceNow provides cloud-based services that automate enterprise information technology operations. As an employer, ServiceNow offers a challenging, collaborat
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. This role will require the successful candidate to work in team shifts covering out of hours and weekend work. Job Description What you get to do in this role: - The Associate Site Reliability Engineer (SRE) will be responsible for managing and resolving the most challenging issues for the ServiceNow SRE team focusing on instance performance, reliability and availability. - The successful candidate will be able to quickly gain an understanding of the ServiceNow platform. - This is a technical role and requires strong trouble shooting skills as well as strong technical skill. - Provide relief and sustainable resolution to issues within our infrastructure. - Use your experience in software development, systems engineering and networking to proactively prevent repeatable issues. - Drive initiatives with partner teams to improve the reliability and performance of the infrastructure through improved system design. - Drive a culture of intolerance to manual activity which results in a highly automated environment delivering scalable solutions. Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - Bachelor's Degree in computer science / engineering or equivalent. - Basic Knowledge of ITIL driven IT Operations - Incident, Problem & Change Management. - Experience working well in a team environment while also being able to work productively while unsupervised - Strong personal commitment to quality and customer service - Excellent written and verbal communication skills with the ability to clearly articulate solutions to technical problems - Excellent time management skills - Demonstrated ability to troubleshoot difficult technical issues - Experience working on Unix/Linux environment - Basic understanding of Networking skills, IP addressing and routing. - Ability to work 4 days (10 hours mostly Wed- Sat) The following additional skills are preferred but not required: - Experience TCP/IP, Networking knowledge - Experience with Splunk - Familiarity with Configuration Management tools like Ansible and Puppet - Working knowledge of the components in a web applications stack. - Experience diagnosing performance degradation (e.g. explain plans, database tuning) - Understanding of relational databases (e.g. MySQL, Oracle, Postgres) - Familiarity with one (or more) scripting languages: JavaScript, Python, Perl, Unix Shell, Windows Shell) - Familiarity with monitoring of large and scalable systems, applications and networks. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.



