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Salary
≈ $94k – $216k per year (Estimated)
Location
In office (Eindhoven)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
GeekSoft Consulting is an Indian IT consulting firm based in Bengaluru that implements and supports Salesforce and SAP customer experience solutions and provides integration, managed services and contingent IT sourcing. Founded in Bhubaneswar, it is a Salesforce consulting partner and runs a European head office in Amsterdam focused on the Benelux, with consultants working on client projects in the Netherlands, Sweden, Belgium, Finland and India. It recruits SAP functional and technical consultants, Salesforce architects and developers, Java, Python and full stack engineers, data and MLOps engineers and ServiceNow specialists.
Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.

Requirements Experienced architect who can design the solution, explain the technical decisions, and personally contribute to building and deploying it, not someone limited to high-level architecture and conceptual design. Hands-on Cloud & AI Architect with strong expertise in AWS cloud architecture, engineering, AI/ML, and Generative AI solutions. Should have proven experience designing, developing, and deploying scalable, secure, and production-ready AWS solutions. Design and implement scalable AWS cloud architectures, ensuring security, performance, and reliability. Develop and deploy AI/ML and Generative AI solutions using AWS services. Translate architectural designs into functional, production-ready solutions through hands-on engineering. Evaluate AWS technologies and define appropriate architecture patterns, tools, and implementation strategies. Work closely with engineering teams to resolve complex technical challenges and optimize cloud solutions. Provide technical leadership throughout solution design, development, deployment, and production support. Strong hands-on experience in AWS cloud architecture and engineering. Practical experience with AWS AI/ML services and Generative AI implementations. Proven track record of designing, building, and deploying production-ready cloud solutions. Ability to balance architectural decision-making with hands-on development and implementation. Strong understanding of cloud-native architecture, scalability, security, and performance optimization. Excellent technical problem-solving skills and the ability to collaborate closely with engineering teams.

Benefits A challenging, innovating environment. Opportunities for learning where needed.

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