2,501 to 2,525 of 8,590 AWS Jobs

/Swift and Android/Kotlin understanding; deep mobile specialization is not required Database: PostgreSQL – strong data modeling, query optimization, transactions, and scaling Cloud: AWS, containers, deployment pipelines, monitoring, security, and modern CI/CD Core Engineering: APIs, distributed systems, scalability, reliability, system design, and secure financial infrastructure What Success … reviews, technical decision‐making, mentoring, code reviews, and engineering standards. Strong PostgreSQL fundamentals, including data modeling, transaction handling, query optimization, and scale. Experience with AWS and modern cloud engineering practices such as containers, CI/CD, monitoring, deployment pipelines, and security. Strong communication skills and the ability to work directly ...

ship it, you operate it” culture with a strong emphasis on ownership, experimentation, and continuous improvement. Frontend : React, TypeScript, Storybook Backend: Python (Django) Infrastructure: AWS, Docker, ECS, PostgreSQL, Redis, SQS, SNS Tooling & Delivery :GitHub, GitHub Actions, CI/CD pipelines Testing: Strong focus on unit, integration … decisions and priorities. Bonus points if you have experience with: High-traffic consumer or marketplace platforms Integration and E2E testing using Cypress or Playwright AWS-based distributed systems and observability tooling Our Ways of Working: We all come into the office on Tuesdays and Thursdays , with the option to work ...

pipelines, multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record … technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

pipelines, multi-agent systems or LLM-based products, ideally at meaningful scale Hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record … technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

trading or marketing decisions. Excellent conceptual, logical and physical data modelling skills, including dimensional and event-based approaches. Experience with modern cloud data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation … decisions in business terms. Desirable experience; Experience in entertainment, travel, hospitality, retail or another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback ...

some of the following areas: Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage)Cloud and Infrastructure Migrations, Operations and Lifecycle managementCloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery)Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix)Container Platforms (e.g., Openshift ...

pipelines, multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record … awareness Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

trading or marketing decisions. Excellent conceptual, logical and physical data modelling skills, including dimensional and event-based approaches. Experience with modern cloud data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation … decisions in business terms. Desirable experience; Experience in entertainment, travel, hospitality, retail or another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback ...

trading or marketing decisions. Excellent conceptual, logical and physical data modelling skills, including dimensional and event-based approaches. Experience with modern cloud data platforms (AWS, Azure, GCP etc), ELT patterns, APIs, events, streaming, batch integration and data contracts. Experience with Snowflake would be highly beneficial Practical SQL, Python and transformation … decisions in business terms. Desirable experience; Experience in entertainment, travel, hospitality, retail or another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback ...

Security Clearance Required: Active TS/SCI with Full Scope Polygraph (FSP) Develop powerful APIs, optimize backend SQL databases, and integrate modern AWS technologies while building mission-critical software solutions. In this role, you'll work across the full software development lifecycle (SDLC), using modern web development technologies and programming … development, system integrations, and UI/UX principles. Modern JavaScript Frameworks: Experience with or exposure to Angular, React.js, or Vue.js. Cloud Technologies: Familiarity with AWS services, Python, and Microsoft C# to support diverse application architectures. Experience Requirements Mid-Level 7+ years of experience with a technical degree, or 11+ years ...

pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red‐team­ing processes and quality measurement for AI systems A portfolio or track record … technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

development with Java and web technologies such as JavaScript/HTML Linux and Windows, including Bash and/or PowerShell Cloud platforms such as AWS, Azure or OpenStack Monitoring and observability tools, particularly ELK/Elastic Databases such as MongoDB Configuration/deployment tooling such as Chef or Puppet Docker ...

development with Java and web technologies such as JavaScript/HTML Linux and Windows, including Bash and/or PowerShell Cloud platforms such as AWS, Azure or OpenStack Monitoring and observability tools, particularly ELK/Elastic Databases such as MongoDB Configuration/deployment tooling such as Chef or Puppet Docker ...

database designProficiency with Git and GitHubExperience with CI/CD pipelines, including GitHub ActionsExperience working with Bash and command-line toolsExperience with AWS cloud servicesStrong understanding of software development best practiceExcellent communication and stakeholder management skillsDesirable: ReactReact NativeDjango REST FrameworkPostgreSQLMicrosoft Dynamics 365 DataverseAgile development experienceExperience mentoring junior developers or conducting ...

bandwidth wavelength services. Familiarity with industry standards governing Ethernet transport, optical transmission and routed networks. Experience with cloud networking, including dedicated connections into Amazon Web Services, Microsoft Azure or Google Cloud Platform. Understanding of security topics such as protection from distributed denial‐of‐service attacks, segmentation and secure edge design. ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

spanning from data discovery, data processing, model development, model deployment, and model monitoring Microsoft (Azure AI Engineer Associate), Google (Professional Machine Learning Engineer), Amazon (AWS Certified AI Practitioner), AWS Cloud Practitioner Certification, or Microsoft Azure Fundamentals certifications, a plus ABOUT US J.P. Morgan is a global leader in financial services ...

some of the following areas: Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage) Cloud and Infrastructure Migrations, Operations and Lifecycle management Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform) Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery) Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix) Container Platforms (e.g. ...

speed on) our stack: React Native/Expo, Railway, GitHub (incl. CI and end-to-end testing), Playwright, Vite/Vitest, Google Cloud, AWS, Twilio, and Stripe Eligible to work in the United Kingdom Nice to Have: TanStack Start/Router experience A passion for music — not essential ...

providing support and line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core ...

such as eCharts. Basic understanding of the Python programming language, as the backend is developed on it. Additional Skills: Knowledge of cloud platforms like AWS or Google Cloud Platform (GCP). Experience with version control systems (e.g., Git) and CI/CD pipelines. Understanding of web accessibility standards and responsive ...

Looking For Essential Experience Strong hands-on experience within Security Operations, Detection Engineering, Threat Detection, or Security Monitoring. Experience securing cloud environments across AWS, Azure, or GCP. Expertise in one or more of the following: Splunk and SPL YARA rule development EDR detection engineering SIEM content development and tuning Experience ...