cover image
Global M

Global M

www.globalm.io

2 Jobs

38 Employees

About the Company


We are an International Recruitment Consultancy partnering with start-ups and technology enterprises to recruit the most talented professionals for their teams, helping organisations scale rapidly and build the technologies and products of the future. Since 2012, we have applied our consultancy services to 150+ International companies across Europe, the US, Africa and Asia, helping them to fill 1000's of job positions.

Our experience has allowed us to build transparent and effective delivery processes for recruitment, redefining traditional approaches. With our on-site, remote or hybrid embedded (RPO) Talent Partner Model, we place our highly-qualified recruiters inside businesses to support, improve and/or carry out the hiring.

Our team use latest tech and tools to communicate and collaborate with all stakeholders involved, including our client's internal talent teams and hiring managers. Apart from delivering amazing talents for teams, we provide bespoke hiring analytics, and an AI enabled recruiter to streamline your culture & value creation, and interviewing process decreasing the time to hire by 25%.

Listed Jobs

Company background Company brand
Company Name
Global M
Job Title
Principal Software Engineer
Job Description
Job title: Principal Software Engineer Role Summary: Lead design, development, and maintenance of scalable backend and cloud systems using Node.js and Python. Drive technical excellence, mentor engineering teams, and set architecture and coding standards across projects. Expectations: - Own end‑to‑end technical delivery of complex backend services. - Champion best practices in architecture, quality, and DevOps. - Mentor engineers and support their growth. - Collaborate across product, design, and operations to deliver reliable, secure services. - Contribute to data strategy and analytics infrastructure. Key Responsibilities: - Architect and build scalable, high‑performance backend services in Node.js/Python. - Lead projects from requirements gathering through deployment and post‑launch support. - Define and enforce architecture, coding, and deployment best practices. - Mentor engineers on technical design, coding, and career development. - Design and maintain database schemas in PostgreSQL and DynamoDB. - Build and maintain AWS infrastructure (Lambda, DynamoDB, RDS, IaC). - Ensure system performance, reliability, and security. - Facilitate Agile ceremonies, code reviews, and continuous integration/delivery pipelines. - Collaborate with product managers, stakeholders, and other teams to align on feature delivery. Required Skills: - 5+ years production experience with Node.js and Python. - Deep knowledge of PostgreSQL and DynamoDB – design, optimization, scaling. - Hands‑on experience deploying and managing services on AWS (Lambda, RDS, DynamoDB, IaC). - Proven technical leadership (project ownership, mentoring, setting standards). - Strong grasp of microservices, TDD, CI/CD, Agile, and system integration patterns. - Experience with infrastructure‑as‑code tools (Terraform, CloudFormation). - Excellent written and verbal communication across technical and non‑technical audiences. - Analytical mindset, strong problem‑solving skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. - Certifications such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer optional but beneficial. - Background or interest in financial services/B2B software valued.
London, United kingdom
Hybrid
Senior
03-12-2025
Company background Company brand
Company Name
Global M
Job Title
Engineering Manager - Artificial Intelligence
Job Description
**Job title** Engineering Manager – Artificial Intelligence **Role Summary** Lead end‑to‑end delivery of AI‑native engineering initiatives, translating product vision into actionable plans, executing under tight timelines, and ensuring high-quality releases while balancing technical debt and reliability in a remote, fast‑paced environment. **Expectations** - Own engineering initiatives from concept through production. - Make decisive trade‑offs and prioritize scope with incomplete information. - Remove blockers, streamline processes, and maintain accountability. - Collaborate closely with Product for delivery co‑ownership and senior strategy input. - Leverage AI tools to accelerate engineering delivery and coach teams on responsible use. **Key Responsibilities** 1. Own the full product lifecycle and roadmap execution. 2. Translate product direction into clear plans, priorities, and scope decisions. 3. Establish and enforce engineering quality, reliability, and pragmatic technical standards. 4. Identify and eliminate blockers, improving process efficiency. 5. Drive cross‑functional alignment and contribute to senior strategy discussions. 6. Mentor and coach teams on effective AI integration and responsible usage. **Required Skills** - Proven experience managing end‑to‑end delivery of complex systems or products. - Strong decision‑making under uncertainty with a pragmatic focus on outcomes. - Hands‑on expertise with AI tools, frameworks, and responsible AI practices. - Ability to balance speed, quality, and technical debt. - Excellent communication, stakeholder management, and remote team collaboration. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Relevant AI/ML certifications (e.g., TensorFlow, PyTorch, AWS AI/ML, GCP AI, Azure AI) preferred.
United kingdom
Remote
10-02-2026