Staff software engineer, kubernetes platform Work, Jobs in Haringey, Gtl (with Salaries)

AI Solution Architect I
HCLTech —London
- Mentoring
- APIs
- AI
Staff Software Engineer, AI Reliability Engineering
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
- Flexible schedule
Staff Software Engineer, Kubernetes Platform
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- Communication skills
- Flexible schedule
Senior Engineer- Platform Engineering
Janus Henderson —London
- Hybrid work
- Computer Science
- DevOps
- Engineering
Staff Software Engineer, Infrastructure (Distributed Systems)
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Java
- Bachelor's degree
- Mentoring
- Flexible schedule
14d
Staff+ Software Engineer, Safeguards Infrastructure
Anthropic —London
- £325,000 - £395,000 a year
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Flexible schedule
Staff Software Engineer, Continuous Integration
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Bachelor's degree
- Communication skills
- Flexible schedule
DevOps Engineers
CGI —London
- Full-time
- DevOps
- Scripting
Quick apply
Senior Software Engineer, Agents
Lightning AI —London
- £180,000 - £250,000 a year
- Hybrid work
- Mentoring
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
Senior Software Engineer I – Search and AI Platform
Elsevier —London
- £86,900 - £144,600 a year
- Full-time
- Agile
- Employee assistance programme
- Employee discount
Staff+ Software Engineer, Platform Connectivity
Anthropic —London
- £405,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- AI
- Communication skills
- Flexible schedule
8d
Cloud Engineers
CGI —London
- Full-time
- AWS
- Computer networking
- Software development
Quick apply
Staff QA Software Engineer - GB
DeLaRue NewCo Ltd GBR DRBGB —London
- Computer Science
- Engineering
- English
Quick apply
Staff Software Engineer, Inference
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Flexible schedule
Software Engineer, Business Technology
Anthropic —London
- £255,000 - £325,000 a year
- Hybrid work
- Bachelor's degree
- Communication skills
- Flexible schedule
2d
Software Engineer, New Grad - Infrastructure
Palantir Technologies —London
- Full-time
- In-person
- Work from home
Architect/Staff Systems Software Engineer
OLIX —London
- From £337,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Master's degree
Platform Engineer
Trafigura —London
- Full-time
- Azure
- Computer Science
- Engineering
Staff Software Engineer - Data Platforms
Our Future Health —London
- From £105,000 a year
- Full-time
- Hybrid work
- Travel
- Mentoring
- Employee assistance programme
- Referral programme
Quick apply
2d
Senior Software Engineer I – Search and AI Platform
RELX —London
- £86,900 - £144,600 a year
- Full-time
- Agile
- Employee assistance programme
- Employee discount

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staff software engineer, kubernetes platform jobs near haringey, gtl

AI Solution Architect I

HCLTech -
London

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Job details

Qualifications

TensorFlow
Stakeholder collaboration
Kubernetes
Client engagement
Big data
Spark
NoSQL
Google Cloud Platform
Distributed systems
Deep learning
Mentoring
Natural language processing
Scrum
APIs
Customer interaction
Multidisciplinary collaboration
Solution architecture
AI
Communication skills
Hadoop

Full job description

City Of London, England
Job Summary

Position Summary The Mid-Level AI Architect is responsible for designing and implementing AI and cloud architectures, with a focus on integrating generative AI technologies. This role requires a solid understanding of AI and cloud platforms and the ability to engage with customers on various architectural topics in cloud and data center environments. The ideal candidate is passionate about GenAI and AI technologies, keeps up with industry trends, and drives innovation within the organization and for clients. As a key contributor, you will interact frequently with customers, provide expert opinions, and support HCL’s strategic vision

Key Responsibilities

Key Responsibilities Technical & Engineering Leadership • Design and implement AI and cloud architectures, integrating GenAI technologies to enhance functionality and scalability. • Participate in architectural discussions with clients, providing guidance on best practices for AI and cloud integration. • Ensure solutions align with microservice and container-based environments across public, private, and hybrid clouds. • Contribute to HCL’s thought leadership in the Cloud Native domain with a solid understanding of open source technologies (e.g., Kubernetes/CNCF) and partner technologies. • Collaborate on technical projects with global partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery & Innovation • Develop GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud native frameworks. • Optimize AI and cloud architectures to meet client requirements, balancing efficiency and effectiveness. • Evaluate existing complex solutions and recommend architectural improvements to transform applications with cloud-native/12-factor characteristics. • Promote the adoption of GenAI technologies within cloud-native projects, driving initiatives that push the boundaries of AI integration in cloud services. 1 Thought Leadership and Client Engagement • Provide architectural guidance to clients on incorporating GenAI and machine learning into their cloud native applications and architectures. • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, building strong, trust-based relationships. • Act as a trusted advisor, contributing to technical projects (PoCs and MVPs) with a focus on technical excellence and on-time delivery. • Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and cloud architecture. • Create and record videos to share insights and opinions on AI and cloud technologies, enhancing HCL’s industry leadership.

Skill Requirements

Collaboration and Multi-Customer Management • Engage with multiple customers simultaneously, providing high-impact architectural consultations and fostering strong relationships. • Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. • Maintain a hands-on technical credibility, staying current with industry trends and mentoring others in the organization. Mandatory Skills & Experience • Experience: 5+ years in cloud and AI architecture design, 3+ years in software development. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop and Spark. • Ethics: Knowledge of AI ethics and governance. • Methodologies: Agile and Scrum project management.

Other Requirements

Desired Skills & Experience • API Development and Integration • Data Storage Solutions (SQL, NoSQL) • AI Model Optimization and Scaling; Model Evaluation and Validation 2 • Monitoring and Logging (Prometheus, ELK Stack) • GenAI Model Utilization and MLOps • Proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation • Expertise in AI Model Fine-Tuning, Evaluation, and Bias Mitigation • Knowledge of Serverless Computing, Distributed Systems, Deep Learning Frameworks (TensorFlow, PyTorch), and Emerging Technology Trends Verifiable Certification • At least one recognized cloud professional certification (AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert) Soft Skills and Behavioural Competencies • Excellent communication and teamwork skills, capable of collaborating effectively with diverse teams. • Demonstrates a strong customer orientation and innovative problem-solving abilities. • Skilled at adapting to organizational changes and contributing to a culture of innovation.

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staff software engineer, kubernetes platform jobs in haringey, gtl

AI Solution Architect I

Staff Software Engineer, AI Reliability Engineering

Staff Software Engineer, Kubernetes Platform

Senior Engineer- Platform Engineering

Staff Software Engineer, Infrastructure (Distributed Systems)

Staff+ Software Engineer, Safeguards Infrastructure

Staff Software Engineer, Continuous Integration

DevOps Engineers

Senior Software Engineer, Agents

Senior Software Engineer I – Search and AI Platform

Staff+ Software Engineer, Platform Connectivity

Cloud Engineers

Staff QA Software Engineer - GB

Staff Software Engineer, Inference

Software Engineer, Business Technology

Software Engineer, New Grad - Infrastructure

Architect/Staff Systems Software Engineer

Platform Engineer

Staff Software Engineer - Data Platforms

Senior Software Engineer I – Search and AI Platform

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