3 of 3 Remote AWS Lambda Jobs in Lancaster

What You Will Do Design and implement cloud infrastructure using AWS services Develop and maintain Infrastructure as Code (IaC) using Terraform Set up and manage CI/CD pipelines using GitHub Actions Implement and maintain containerization and orchestration solutions (e.g., Docker, Kubernetes) Optimize cloud resource utilization and cost management Ensure system reliability, scalability, and security Collaborate with development teams … to streamline deployment processes Skills and Experience You Will Need Required: 6+ years of experience with AWS services (e.g., EKS, ECS, RDS, SQS, SNS, MWAA, Lambda, EC2, API Gateway, CloudFront) CloudFormation Templates, Terraform, or Comparable Experience Infrastructure as Code Experience with CI/CD tools, especially GitHub Actions Strong knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes … Familiarity with scripting languages (any - Python, Bash) Desired: Solid understanding of networking concepts and security best practices AWS certifications (e.g., Solutions Architect, DevOps Engineer) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack Knowledge of database administration and optimization Familiarity with AI/ML deployment workflows Experience with graph databases (e.g., Neo4j) Who We Are GalaxE, now More ❯

other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams … Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker, Bedrock, etc.). Desired: Experience deploying More ❯

You will need to have strong fundamental engineering skills and be happy working across a wide range of applications. As a Senior Engineer, you will be responsible for our AWS, Web and Desktop tech stack. This includes: Our AWS cloud (Dynamo DB, Lambda ) Various scripts and algorithms (Python) Our Microsoft Desktop App (Python) Our ASP.Net web app … talented science and engineering teams to implement new features and improve performance. This is a unique opportunity to work on impactful projects in a fast-paced, innovative environment, including: AWS architecture App development in Python, ASP.Net Problem solve with our team, bringing new perspectives and experience into our team Implement modern best practices and high quality, testable, readable code … implementing tools and automation. Ensure security # experience Proven experience as a software engineer with at least 5+ years of hands-on development experience. Proficiency in a variety of AWS technologies and Python Excellent software engineering skills with a focus on modern best practices (SOLID, Clean, TDD, CI/CD, automation) Knowledge of Agile methodologies and experience working in More ❯