Jobs in Tangerang, Indonesien

Location: UK, Ireland, Estonia, Netherlands, Sweden and Spain. The role is also available to contractors in other Eastern European locations / Portugal.

We are DoiT, a global technology company that helps cloud-driven organizations leverage the cloud to drive business growth and innovation. We deliver DoiT Cloud Intelligence to solve multicloud problems and drive efficiency, with specializations in Kubernetes, GenAI, CloudOps, and more. We are an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, serving more than 4,000 customers worldwide.

As a Senior Cloud Architect, you will be part of our global CRE team, working with rapidly growing companies in EMEA and around the world. You will:

• Apply hands-on experience and consultative skills to address customers’ strategic and tactical needs around cloud technologies
• Grow technical and interpersonal skills by solving customer challenges and taking advantage of learning time allocated by the company
• Strengthen personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events

• Architect, deploy, and manage cloud-based AI/ML solutions; design scalable and resilient architectures on AWS and across multi-cloud environments
• Lead and support multi-cloud AI initiatives, leveraging AWS services (e.g., SageMaker, Bedrock, Lambda, EKS, Fargate) and related tools
• Develop data pipelines and ML workflows using AWS services (S3, Glue, Lake Formation, Redshift) and monitoring/observability using CloudWatch and SageMaker Model Monitor
• Implement end-to-end AI pipelines and real-time inference, including API endpoints and automation via Step Functions and API Gateway
• Advise on AI governance, security (IAM, KMS), and compliance, including bias detection and interpretability
• Mentor team members and enable cross-functional collaboration; facilitate knowledge sharing and hands-on workshops

Experience Requirement: Minimum of 4+ years of experience in architecting, deploying, and managing cloud-based AI/ML solutions.

Core AWS Expertise:

• Expertise in architecting, developing, and troubleshooting large production-grade distributed systems on AWS; selecting tools to address business problems at scale
• Advanced proficiency in AWS with a focus on Generative AI and machine learning services; AWS Solutions Architect Professional and/or AWS Machine Learning Specialty certifications
• Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads

Generative AI and Cutting-Edge Technologies:

• Expertise in Amazon Bedrock for foundation models and scalable GenAI workloads
• Proficiency in fine-tuning and deploying LLMs and multimodal AI using SageMaker JumpStart and Hugging Face on AWS
• Experience with Amazon CodeWhisperer/CodeWhisperer Business and Developer for AI-powered coding productivity

Machine Learning Frameworks and Pipelines:

• Knowledge of SageMaker components (Pipelines, Model Monitor, Data Wrangler, SageMaker Clarify)
• Experience with distributed model training on multi-GPU clusters and high-performance inference

Data Engineering and AI Workflow Optimization:

• Proficiency building data pipelines with S3, AWS Glue, Lake Formation, Redshift for AI/ML workloads
• Experience optimizing data preparation for large-scale model training and inference

AI Integration and Deployment:

• End-to-end AI pipelines using AWS Lambda, Step Functions, API Gateway; real-time inference and automation
• Familiarity with containerized AI deployments using EKS and Fargate

DevOps and MLOps Expertise:

• Hands-on CI/CD for AI/ML using CodePipeline, CodeBuild, and SageMaker Pipelines
• Monitoring and maintenance of AI systems with CloudWatch and SageMaker Model Monitor

AI Governance and Security:

• Strong understanding of AI governance, IAM, KMS, and compliance; bias detection and accountability with SageMaker Clarify

Emerging AI Trends:

• Awareness of RLHF, foundation model fine-tuning, hybrid AI architectures; experience with open-source tools like Hugging Face and AWS-native solutions

Knowledge of Multi-Cloud AI Tools:

• Familiarity with Google Cloud Vertex AI, AutoML, and BigQuery ML for multi-cloud integration

Mentoring and Enablement Skills:

• Ability to mentor team members and enable cross-functional collaboration; create knowledge-sharing platforms and hands-on workshops

Bonus Points

• Quick learner and passionate about technology; data certifications (e.g., Stanford, Coursera, Udacity, MIT, eCornell) or AWS/GCP equivalents
• BA/BS in Computer Science, Mathematics, Economics, or related field, or equivalent practical experience

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Employee Stock Option Plan
• Professional Development Stipend

We are a global, remote-friendly team that supports work–life balance and professional growth. We value diversity and inclusion; learn more about our core values in our materials.

DoiT International is an equal opportunity employer. We collect gender data solely for diversity and inclusion initiatives, in aggregate and de-identified form. Your privacy is protected, and participation is voluntary.