276 to 300 of 303 Permanent Amazon ECS Jobs

components within an event‐driven architecture. Our platform is built primarily with C#, .NET, PostgreSQL, AWS, Blazor, and MudBlazor, with services running across Lambda, ECS, and EC2. We continue to evolve our engineering practices, tooling, and platform capabilities as the platform grows. We take an AI‐first approach … actionable technical work Identify technical risks, bottlenecks, dependencies, and opportunities for improvement Contribute to AWS‐based architecture and engineering practices, including environments using Lambda, ECS, and EC2 Improve observability, reliability, performance, security, and operational readiness across the platform Contribute to Jenkins pipelines and CI/CD practices to improve ...

document database. We also have a small number of C# services and are continuing to evolve our platform architecture, including expanding our use of ECS Fargate. Infrastructure is managed through a combination of Terraform and Serverless Framework. We use GitHub Actions for CI/CD and incident.io to support … Willing to be on‐call for your services. Core Technical Skills You Must Have Strong commercial experience with Node.js, specifically TypeScript Experience with Amazon Web Services Experience with Serverless products Experience with document databases, ideally MongoDB Experience mentoring engineers Experience leading technical delivery in a build ...

design skills and experience building and maintaining production APIs Experience integrating APIs with external systems Production experience with AWS services such as Lambda, ECS, and S3 Experience with Helm charts and Kubernetes required SQL proficiency, particularly Postgres or similar Exposure to NoSQL databases Structured approach to problem-solving … while supporting the mission of enhancing crypto market transparency and efficiency. Highest-signal resume keywords Python Programming API Design and Integration AWS Services (Lambda, ECS, S3) Kubernetes and Helm Charts SQL Proficiency (Postgres) ATS Optimization Keywords Hard Skills Python Programming API Design SQL Proficiency NoSQL Database Experience LangSmith ...

backend systems using typescript, Java, Spring, and Maven, ensuring high performance, scalability, and security Implement Microservices-based solutions using AWS lambdas as well as ECS containers, integrating with various systems and services Utilize Kafka for message queuing and streaming, ensuring reliable and efficient data exchange Work with DynamoDB databases … this role Experience: 12+ years of experience in application development Technical Skills: Proficiency in React native, Java, Spring, typescript, microservice architecture, DynamoDB, lambdas, ECS containers and robust knowledge of AWS cloud infrastructure (API Gateway, AWS SAM, terraform, Kinesis/MSK/SQS/S3/EKS/ECS ...

components in a cloud-based, event-driven architecture. Our technology stack includes C#, .NET, PostgreSQL, AWS, Blazor, and MudBlazor, with services running across Lambda, ECS, and EC2. We build distributed systems that communicate through APIs and events, and we continue to improve our engineering practices, tooling, and platform capabilities. … APIs and events Work with PostgreSQL and data access patterns to deliver scalable, supportable solutions Support applications and services hosted in AWS, including Lambda, ECS, and EC2 Contribute to UI development in Blazor and MudBlazor where needed Break down requirements and solution designs into clear technical tasks Participate ...

PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit‐learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven … explain technical trade‐offs clearly to people who are not engineers. Desirable Event‐driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another regulated industry. Why Work for Proximie? You will ...

PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven … explain technical trade-offs clearly to people who are not engineers. Desirable Event-driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another regulated industry. Why Work for Proximie? You will ...

“I can be myself at work.” You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your ...

working Cloud Infrastructure: A wide variety of AWS services managed across a multi-account (~100) Organization. Some of the services we use heavily: ECS, EC2, RDS/Aurora, DynamoDB, Lambda, S3. Preferring managed AWS services where possible - e.g. ECS over EC2 Programming: In terms of programming languages across ...

operational processes using Terraform and scripting Improve deployment and release safety (CI/CD, progressive delivery patterns) Key contributor to transition strategy for ECS EKS (Kubernetes adoption) Reduce operational toil through tooling, self-healing, observability and platform improvements Empower Level-1 operational teams with safe, controlled access … with thought-leadership and developing long-term SRE roadmap for Digital Operations What experiencewe’relooking for Technical Strong experience in cloud environments, ideally AWS (ECS, with exposure or experience in EKS/Kubernetes) Hands-on experience with: Terraform (Infrastructure as Code) Observability stacks (Splunk, CloudWatch, Grafana) Strong programming skills ...

Strong SQL and sound data modelling instincts, plus experience working with large legacy relational estates and the constraints they bring Comfort with container orchestration (ECS, Kubernetes) and how data workloads actually behave in production A platform mindset — you take as much satisfaction from the paved road as from … legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code) Streaming: Kafka Containers & Orchestration: ECS, Kubernetes Our Behaviours Explore Boldly: We value engineers who are eager to learn new technologies and stay current with industry trends Bounce Back Stronger ...

engage customers to understand the problems worth solving, bringing that perspective back into how you design and build. Work with AWS managed services including ECS/Fargate, Lambda, SQS, DynamoDB, and DocumentDB to build and evolve a scalable, event-driven architecture that performs under real load. Use AI coding … believe in using the right tool for the job. Our current stack includes: Backend: TypeScript, Node.js, C#, .NET Frontend: TypeScript, React Cloud & Infrastructure: AWS (ECS, Lambda, SQS, DocumentDB, DynamoDB), Terraform, SST (Infrastructure as Code) Architecture: Microservices, Microfrontends, Event-driven architecture What You Need to Be Successful A strong background ...

Python and Django, on a service-based architecture with a strong focus on multi-tenant data isolation. Cloud and infrastructure: AWS, managed with Pulumi. ECS/Fargate, Docker, ALB, SQS, S3, Lambda, API Gateway, ElastiCache, WAF, CloudWatch, and more. What we\'re looking for You don\'t need … some of: Python, or another backend language you know well. Claude Code, Cursor or Codex. A relational database like Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). LLM and AI integrations, or event ...

architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across … latency, throughput, and scalability across GenAI workloads.**Your Skills:*** Experience designing cloud-native GenAI architectures using AWS services such as Bedrock, Lambda, SageMaker, OpenSearch, ECS/EKS, API Gateway, Step Functions, S3, IAM, KMS, and CloudWatch* Knowledge of scalable, secure, event-driven, and distributed system architectures* Experience integrating structured ...

consistent and maintainable APIs. Developing within a containerised, cloud-based environment , with services deployed into clusters. Working with AWS and technologies such as Docker, ECS/Fargate and API Gateway . Writing automated unit, integration and performance tests. Supporting CI/CD pipelines and contributing to a strong DevOps … this architecture and introduce new functionality. You'll ideally have experience with some of the following: TypeScript RESTful APIs JSON AWS Docker/containerisation ECS/Fargate API Gateway CI/CD Automated testing Experience working with an existing enterprise API platform or integrating with internal and third-party ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. Strong background ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include … solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed, robustness, and long-term maintainability. Strong background ...

including model-invocation gateways, MCP proxy layers, and webhook-driven event processors using FastAPI, Docker containers, and GPU-optimized data pipelines deployed on AWS ECS and AWS Bedrock AgentCore. 6. Performing coding, debugging, and testing of software components across the full stack, including agent runtime services, backend APIs, model … routing layers, and deployment infrastructure on AWS (Bedrock AgentCore, ECS, S3, Terraform). 7. Contributing to the design and development of product features as part of a cross-functional engineering team, including OAuth-based third-party integration abstractions, MCP tool proxies, and webhook-driven event triggers for AI agents. ...

best practices Contribute to improving developer workflows and tooling (GitHub, GitHub Actions, Slack, Linear, Sentry, SolarWinds) Learn about and contribute to infrastructure (Docker, AWS ECS, RDS, S3, SES, CloudFront, CDK) with support from senior teammates. What we are looking for 4-7 years of experience shipping fullstack features … product-driven team Strong skills with React, TypeScript, Node.js, and PostgreSQL Working knowledge of AWS services (ECS, RDS, S3, CloudFront, etc.) Hands on with modern workflows and tooling, for example GitHub, GitHub Actions, Linear, Sentry Ability to scope medium sized tasks, estimate, and deliver end to end within established ...

hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs … Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical devices, or another regulated industry Core Competencies Demonstrates ...

Role 5+ years of experience building scalable high volume low latency backend services Proficiency in our tech stack — Python, TypeScript (backend), AWS (CDK/ECS/Step Functions/Lambda/S3) Familiarity with code versioning tools, such as GitHub Ability to engage, learn and contribute quickly … remedy defects and follow through to production Nice to Have Traits for This Role Experience and knowledge within the navigation domain Experience with Amazon Elasticache Experience with SQL Experience with Big Data/ML Experience with various security standards and associated technical knowledge What We Value We value ...

consistent and maintainable APIs. Developing within a containerised, cloud-based environment , with services deployed into clusters. Working with AWS and technologies such as Docker, ECS/Fargate and API Gateway . Writing automated unit, integration and performance tests. Supporting CI/CD pipelines and contributing to a strong DevOps … this architecture further. You'll ideally have experience with some of the following: TypeScript or Java RESTful APIs JSON AWS Docker/containerisation ECS/Fargate API Gateway A solid Java background with some TypeScript experience would be a strong fit , as would a TypeScript-focused engineer with ...

solutions. As a DevOps Engineer, you would be responsible for: Building, operating and improving the company' global AWS infrastructure, with a particular focus on ECS, RDS and supporting services. Managing infrastructure through Terraform, contributing to reusable, maintainable and version-controlled infrastructure as code. Improving CI/CD pipelines … Computer Science, Information Technology, Engineering or a related field, or equivalent practical experience. Hands-on experience working with production infrastructure on AWS, ideally including ECS, RDS and supporting services. Practical experience with Terraform, including modules, state management and infrastructure changes through version control and code review. Experience with ...

hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related roles* Strong experience with **AWS (or Azure)**, including services such as EKS, ECS, EC2, networking, IAM, and managed services* Solid understanding of **cloud security principles** and experience collaborating with security teams.* Strong background in **Linux systems administrations.*** Proven … environments* Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.* Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)**Person Specification*** Strong **technical authority** with the ability to influence design and operational decisions* Highly collaborative, comfortable working across architecture, engineering, security ...

architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. … innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious ...