with any applied aspect of UNIX/BSD/Linux internals (we use Ubuntu). Containerisation experience with k8’s (we use KOPS, EKS, ECS). Networking fundamentals, IPv4, v6 etc (AWS VPC a plus). Demonstrable experience with infrastructure-as-code tools such as Terraform. Experience with monitoring More ❯
in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge More ❯
in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge More ❯
in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge More ❯
in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge More ❯
Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Experience with troubleshooting common networking technologies and issues Ability to identify and solve problems related to complex data structures and algorithms More ❯
applications are built on the principles of Event Driven Micro Services Architecture. Skillsets to look for: Python, AWS - SNS/SQS, Lambda, Step Functions, ECS, Spinnaker, Kubernetes, Kafka, Terraform, ORM frameworks. Pyspark and Databricks experience is a plus. Seniority level Mid-Senior level Employment type Full-time Job function More ❯
Motivated to push yourself and the people around you to constantly improve, in a healthy way Some Relevant Technologies And Services We Use AWS (ECS, Lambda, SNS, SQS, CloudFormation ...), Docker Languages: Typescript, Javascript Frontend: React, Next.js, CSS Modules, SASS, Styled Components Database: DynamoDB, PostgreSQL, BigQuery What's in More ❯
for data storage Redis for caching Kafka for stream processing SwiftUI for our Driver iOS App AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run our services Flutter for our on-board server running Android, which handles concession ticket validation with more on-board experience More ❯
of Trustpilot, and the ability to make crucial technical decisions, in a pragmatic way. Some relevant technologies and services we use: Infrastructure: AWS (CDK, ECS, Lambda, SNS, SQS, ...), Docker, CloudFormation. Languages: Typescript, Node.js. Frontend: React, Next.js, CSS Modules, SASS, Styled Components. Still not sure? We want to be More ❯
technical hire, you'll have the opportunity to shape the stack and tools used. Currently, my client's technology includes: Infrastructure & Monitoring: AWS (Lambda, ECS, Postgres), Tinybird, Datadog, Sentry Programming Languages & Frameworks: TypeScript (Node.js), NestJS, Ruby on Rails Day-to-Day Tools: Notion, Slack, Jira, GitHub, Google Workspace Content More ❯
technical hire, you'll have the opportunity to shape the stack and tools used. Currently, my client's technology includes: Infrastructure & Monitoring: AWS (Lambda, ECS, Postgres), Tinybird, Datadog, Sentry Programming Languages & Frameworks: TypeScript (Node.js), NestJS, Ruby on Rails Day-to-Day Tools: Notion, Slack, Jira, GitHub, Google Workspace Content More ❯
technical hire, you'll have the opportunity to shape the stack and tools used. Currently, my client's technology includes: Infrastructure & Monitoring: AWS (Lambda, ECS, Postgres), Tinybird, Datadog, Sentry Programming Languages & Frameworks: TypeScript (Node.js), NestJS, Ruby on Rails Day-to-Day Tools: Notion, Slack, Jira, GitHub, Google Workspace Content More ❯
AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including … database querying. Experience with code repositories such as GitHub. Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration. Our web products are developed using TypeScript, React, and Redux. We have a shared component More ❯
one or more modern programming languages and database querying languages. Proficient in developing microservices and micro front-ends using Amazon EKS and ECS, with a strong understanding of AWS deployment and management. Overall knowledge of the Software Development Life Cycle. Proficient in Data Lake and Data Mesh More ❯
DevOps or Site Reliability Engineering (SRE), with a strong focus on automation, reliability, and security. Deep hands-on experience with AWS, including services like ECS, RDS, IAM, VPC, S3, and networking fundamentals. Solid understanding of Infrastructure-as-Code (IaC), particularly using Terraform. Experience with container orchestration, ideally using ECSMore ❯
