Senior Software Engineer, TypeScript, Node.Js, Python, Databricks - US Project

About Us

CloudGeometry is a leading Silicon Valley-based cloud-native system integrator with deep expertise in AWS and the CNCF technology stack. We partner with industry leaders like AWS, Google and Databricks to deliver solutions across all layers of the modern technology stack, from generative UI to Kubernetes-powered MLOps workloads. Our distributed team of top technology experts from the US, Europe, and LATAM collaborates on innovative commercial and open-source projects. Our commitment to innovation and excellence makes us a trusted partner for leading technology companies and VC-funded startups. By pushing the boundaries of what's possible, we help our clients stay ahead in a rapidly evolving technological landscape

Cloudgeometry Engineering Profile

We are in search of experienced senior software engineers who possess a deep passion for technology and an eagerness to tackle complex technical challenges. You have a strong interest in leveraging AI and cutting-edge methodologies to drive efficiency and precision in your work. A strong commitment to the organization's growth and the advancement of its internal ventures is critical. You care about your project, but also about CloudGeometry communities and their development. Sharing best practices with engineering communities across projects is paramount to you. You must demonstrate a commitment to continuous learning, allocating time to acquire new skills and obtain certifications to validate your expertise and experience.

About the Role

We are looking for a Senior Backend Engineer to join our flagship project: a cutting-edge Data Platform for the life sciences industry. This platform supports industry leaders such as Pfizer, Moderna, and Novartis in developing innovative RNA-based solutions, leveraging data-driven research, cloud computing, and advanced AI capabilities. This role offers a unique opportunity for an experienced data engineer to take the next step in their career, playing a key technical leadership role in the rapidly evolving world of AI-driven solutions

Requirements

• 8+ years of professional software engineering experience, with a proven track record of designing and delivering complex systems in production.
• Extensive experience building and maintaining serverless and cloud-native solutions in AWS, including production-grade monitoring, security, and cost optimization practices.
• Experience designing reliable, secure, and scalable data processing architectures — both real-time (streaming) and batch — including the underlying infrastructure.
• Strong ownership mindset, with the ability to work independently on large-scale projects, from discovery to delivery.
• Excellent communication and collaboration skills, including the ability to translate high-level business requirements into actionable technical work.
• Comfort working with limited supervision, proactively driving projects forward and seeking alignment with stakeholders when needed.
• Demonstrated ability to perform requirements analysis, break down complex systems, and challenge assumptions to ensure the right problems are being solved.

Technical Skills

• Expert-level proficiency in Node.js and TypeScript, with a strong focus on building robust, testable backend services and APIs.
• Knowledge of Python, and willingness to deepen Python expertise for data processing and machine learning workflows.
• Deep understanding of AWS Serverless services, particularly Lambda, Step Functions, API Gateway, EventBridge, SQS, and SNS.
• Strong experience with infrastructure as code (IaC), preferably with AWS CloudFormation and CDK. Candidates experienced only in Terraform must be willing to learn and apply CDK and CloudFormation.
• Working knowledge of the Databricks platform, with readiness to complete a Databricks certification (e.g., Data Engineer Associate/Professional or ML Engineer) within the first 6 months.

Nice to Have

• Experience deploying Databricks workflows with Databricks Asset Bundles.
• Understanding of MLOps practices, including model versioning, registration, and deployment pipelines.
• Hands-on experience with containerized deployments and orchestration using ECS, EKS, or Kubernetes, and CI/CD for containers.
• Experience working with NoSQL and search databases, such as OpenSearch, Redis, or DynamoDB.

Bonus

• Production-level experience with MLflow, Databricks ML, or Ray.
• Familiarity with emerging LLM orchestration frameworks like DSPy, LangChain, or Semantic Kernel.
• Knowledge of LLM observability and cost controls, including latency, token usage monitoring, and optimization strategies.
• Experience working with vector databases and embedding-based search for RAG (Retrieval-Augmented Generation) use cases.

What We Offer

• Remote work from anywhere.
• Flexible working hours.
• Coworking space financial coverage.
• Paid time off annually.
• Workspace budget ($2500) for equipment of your choice.
• English lessons at all levels.
• Performance-based financial incentives for contributors to company growth.
• Paid courses and certifications (AWS, CKA, Databricks, ML, etc.).
• Participation in international conferences (e.g., KubeCon, CNCF Summits).
• Access to learning platforms (Udemy and more).
• Opportunity to work on high-impact, cutting-edge technology with no legacy systems.