2,051 to 2,075 of 8,937 AWS Jobs

business units, ensuring architectures are scalable, secure, governed and ready to support emerging AI capabilities. Design and deliver cloud-native data platforms using AWS, Azure or GCP, leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance … practices, including conceptual, logical and physical modelling, with experience designing architectures that support analytics and AI use cases. Hands-on experience with cloud ecosystems (AWS, Azure or GCP), modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate. Strong understanding of cloud migration ...

maintain backend services using Python. Build scalable APIs and event-driven services that support customer-facing applications. Develop and optimise data solutions within AWS cloud environments. Collaborate with product, engineering, and frontend teams to deliver new platform capabilities. Contribute to architecture decisions and establish best practises for a strategic service. … ideal candidates will possess a strong set of skills and experiences, including: Significant commercial experience developing backend applications in Python. Proven expertise within AWS cloud environments. Strong understanding of database technologies, including PostgreSQL and SQL or NoSQL databases (preferably DynamoDB). Experience in building and supporting production-grade backend services. ...

maintain backend services using Python. Build scalable APIs and event-driven services that support customer-facing applications. Develop and optimise data solutions within AWS cloud environments. Collaborate with product, engineering, and frontend teams to deliver new platform capabilities. Contribute to architecture decisions and establish best practises for a strategic service. … ideal candidates will possess a strong set of skills and experiences, including: Significant commercial experience developing backend applications in Python. Proven expertise within AWS cloud environments. Strong understanding of database technologies, including PostgreSQL and SQL or NoSQL databases (preferably DynamoDB). Experience in building and supporting production-grade backend services. ...

cloud platforms and migration initiatives. This role plays a critical part in advancing LSEG Post Trade's cloud strategy, with a strong focus on AWS, Kubernetes (EKS), automation, and cloud-native engineering . You will lead high-performing engineering teams, shape platform strategy, and ensure secure, scalable, and resilient cloud … requiring both technical depth and strategic influence across engineering, architecture, and business partners. What You'll Do Lead the design, build, and optimisation of AWS-based cloud platforms, including EKS, Kubernetes, networking, identity, and observability capabilities supporting enterprise-scale workloads Drive cloud migration programmes end-to-end , including application assessment ...

opportunities to position Wayfinder as part of long‐term platform and developer enablement strategies Work closely with delivery, engineering, marketing, and partner teams across AWS, Azure, and GCP to shape opportunities and proposals Contribute to Appvia’s positioning, messaging, sales playbooks, and go‐to‐market strategy Build and maintain … rapport with different personality types and seniority levels Coachability and openness to feedback Resilience, adaptability, and a practical problem‐solving mindset Desirable Cloud certifications (AWS Cloud Practitioner, Azure Fundamentals, or above). Experience generating business in regulated industries (government, finance, insurance). A background in pre‐sales, cloud consulting ...

distributed training systems; and ensure infrastructure meets security, compliance, and regulatory requirements. As the recognized AI infrastructure expert in at least onehyperscalercloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply … systems, including acceleratorselection, interconnect/networking, and storage for high-throughput training workloads. Serve as the authoritative AI infrastructure expert in at least onehyperscalercloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers. Design deployment, automation, and CI/CD strategies ...

Python, Java, Spark, SQL, and Airflow* Apply good software engineering practices, including testing, documentation, and CI/CD* Contribute to cloud‐based systems (AWS), focusing on reliability, monitoring, and automation* Collaborate with product, platform, and data science partners to deliver meaningful outcomes* Support team learning through code reviews and knowledge … data lakes, batch processing, and distributed systems* Experience building or operating data pipelines using tools like Spark and Airflow* Familiarity with cloud platforms (AWS preferred) and production monitoring* Clear communication skills and a collaborative approach to problem‐solving.**Why join us?**Join our team and contribute to a culture ...

engineering best practice Technology You'll have the opportunity to work with modern DevOps and platform technologies including: Kubernetes Terraform GitHub & GitHub Actions Helm AWS VMware Bash Go and/or Rust Experience with every technology isn't expected—we're looking for engineers who learn quickly and enjoy solving … likely have experience in several of the following: Supporting and operating production platforms Infrastructure as Code and automation Containerisation and Kubernetes Cloud infrastructure, ideally AWS CI/CD tooling and deployment pipelines Linux administration Strong troubleshooting and problem-solving skills Due to the nature of the work, applicants must have ...

monitoring, telemetry and operational analytics platforms. Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies. Desirable Experience Experience with … supporting business growth activities. Active participation in AI, SRE, platform engineering or cloud communities. Certifications (Desirable) Azure AI Engineer Associate Azure Solutions Architect Expert AWS Machine Learning Specialty Google Professional Cloud Architect Certified Kubernetes Administrator (CKA) SRE Foundation or SRE Practitioner Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.) Security ...

practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS). Hands-on practical experience delivering system design, application development, testing, and operational stability. Preferred Qualifications, Capabilities, And Skills Experience working at code level with advanced …/ML business applications (e.g., LLMs, Generative AI, NLP). AWS Certifications (Solution Architect Associate or Professional) are advantageous. In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

monitoring, telemetry and operational analytics platforms. Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies. Desirable Experience Experience with … supporting business growth activities. Active participation in AI, SRE, platform engineering or cloud communities. Certifications (Desirable) Azure AI Engineer Associate Azure Solutions Architect Expert AWS Machine Learning Specialty Google Professional Cloud Architect Certified Kubernetes Administrator (CKA) SRE Foundation or SRE Practitioner Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.) Security ...

evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. … principles (design, version control, architecture). Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs ...

adjusting RBAC on legacy systems (SolarWinds, ELK). Platform Duplication & Split : Duplicate Nautobot microservices and Opengear out-of-band designs into cloud hosting (AWS ECS), removing cross-entity access and integrations. Network Operations : Support RIPE LIR registration activities, including new ASN procurement and prefix migration. Required Skills & Experience Network Automation … APIs (NETCONF, RESTCONF). DevOps & CI/CD : Hands-on experience building end-to-end pipelines (GitHub Actions) and containerised services (Docker, Docker Compose, AWS ECS Fargate). Infrastructure as Code : Strong Terraform experience, specifically managing modules, state files, and importing brownfield network environments. Data & Source of Truth : Deep understanding ...

world, with Responsible AI, evaluation and security as non-negotiables. Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude … principles (design, version control, architecture). Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs ...

world, with Responsible AI, evaluation and security as non-negotiables. Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude … principles (design, version control, architecture). Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs ...

components for multiple downstream consumers Experience building event-driven and streaming data integrations at scale Expert knowledge of cloud data services across Azure or AWS ecosystems Production experience deploying and managing containerized services in Kubernetes environments Strong expertise with SQL and NoSQL systems, including schema design and optimization Knowledge ...

team works, developing engineers and driving the technical direction of a growing cloud platform. This is a hands-on leadership role supporting products across AWS, Azure and GCP. Youll provide day-to-day direction to the team, establish consistent engineering standards and help build the teams capability, while working closely … escalation point for complex production issues and participate in the shared on-call rota. Youll need: Significant production experience with at least two of AWS, Azure and GCP Deep production Kubernetes experience Strong GitOps and infrastructure as code experience at scale CI/CD pipeline automation experience Extensive experience with ...

monitoring, telemetry and operational analytics platforms.• Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes.• Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform.• Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies.Desirable Experience• Experience with … supporting business growth activities.• Active participation in AI, SRE, platform engineering or cloud communities.Certifications (Desirable)• Azure AI Engineer Associate• Azure Solutions Architect Expert• AWS Machine Learning Specialty• Google Professional Cloud Architect• Certified Kubernetes Administrator (CKA)• SRE Foundation or SRE Practitioner• Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.)Security Check ...

Release Manager - Active SC, AWS Up to £550 per day - Inside IR35 Remote/Must be UK based 6 months My client is an instantly recognisable consultancy who require a Release Manager with Active SC clearance for an end client within the public sector. Key Requirements: Proven commercial experience working … Release Manager within the Public Sector. Active SC Clearance. Own and coordinate end-to-end release cycles for AWS-hosted Java/Spring Boot services, ensuring readiness, dependency management, quality checks and stakeholder communication. Oversee deployments through CI/CD pipelines (Jenkins or similar), managing environments, resolving issues, and supporting ...

mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings ...

mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings ...

infrastructure has to be reliable, scalable, and secure — there is no acceptable downtime. As our Infrastructure/DevOps Engineer, you'll own the AWS infrastructure that runs the platform, build and maintain the CI/CD pipelines that ship it, and grow into a Site Reliability function as the team … This role is for someone who thinks in systems, automates everything, and takes platform reliability personally. What you'll do Design, build, and manage AWS infrastructure for a real-time, high-availability voice AI platform Own CI/CD pipelines — build, test, deploy, and rollback automation across all environments Define ...

production deployment, monitoring and continuous improvement. You will work across traditional machine learning techniques alongside generative AI, LLM-based applications and agentic workflows, applying AWS technologies and robust MLOps practices to deliver scalable, reliable solutions. Working closely with technical teams, business stakeholders and subject matter experts, this role offers real … step automated workflows Build and maintain data pipelines ensuring data quality and accessibility for modelling purposes Deploy machine learning models to production environments on AWS, ensuring reliability and performance Contribute to MLOps practices including CI/CD pipelines, model monitoring, data drift detection and model retraining Partner with product teams ...

explore new modelling approaches, and work closely with product, design and policy experts to turn complex challenges into impactful products. Our stack: Python, TypeScript, AWS, Azure, GCP, PyTorch, LangGraph, LangChain, DSPy, Langfuse, Inspect and access to the latest frontier models. What makes this role different? Build AI products with real ...

Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency … relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute to architectural design discussions, technical evaluations, and proof-of-concept initiatives across diverse technology domains Experience working ...