2,876 to 2,900 of 8,840 AWS Jobs

collaborative team made up of software engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with engineers, Tech … Terraform, following existing module patterns while identifying opportunities to improve quality, maintainability and automation. Apply least-privilege and secure-by-default principles consistently across AWS accounts, helping ensure our infrastructure meets Trainline's standards for security and operational excellence. Build or contribute to automation scripts and tooling using Node.js ...

full software development lifecycleExperience in Databases, including MongoDB, SQL or Document DatabaseFull-Stack or Backend technical background with Python and React, or TypeScriptExperience with AWS (Lambda, S3, EC2, RDS)Experience in Unit TestingPrevious involvement in developing and delivering major IT solutions An understanding of agile tools and techniquesWillingness to travelAdditional ...

real-world delivery experience to refine our internal AI platforms and engineering standards. This is a hands-on leadership role requiring deep expertise in AWS and Databricks, modern cloud data architectures, and the ability to influence senior stakeholders through clear technical communication. Key Accountabilities Architectural Enablement & Leadership … readiness. Support the maturation of the domain's data product and AI operating model. Knowledge, Experience & Capabilities Deep knowledge of modern AI architectures on AWS, including Generative AI, RAG (Retrieval-Augmented Generation), and large-scale asynchronous inference workloads. Ability to translate enterprise business problems into AI-driven Products, promoting decentralized ...

proactively address risks. Conduct security reviews, code assessments, and vulnerability triage with development teams. Cloud & DevOps Collaboration Work with DevOps to ensure secure AWS infrastructure deployments and configurations. Contribute to hardening efforts across ECS, IAM, networking, and supporting cloud services. Assist in designing and maintaining secure CI/CD workflows. … with GitHub based workflows and CI/CD pipelines. Nice to Have Development experience with Ruby on Rails or similar dynamic languages. Knowledge of AWS ECS/EKS, container security, secrets management and infrastructure as code (CloudFormation, Terraform). Experience building or maturing an AppSec program from early stages. SOAR ...

cloud-native data architecture. Work with technology and architecture teams to ensure integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP). Continuously grow and develop skills across AI/ML and GenAI and increase business acumen. Support client onboarding, vendor integrations, and managed ...

cloud-native data architecture Work with technology and architecture teams to ensure integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP). Continuously grow and develop skills across AI/ML and GenAI and increase business acumen Support client onboarding, vendor integrations, and managed ...

Lead Data role. Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale ...

existing items and shaping a clear path to production-readiness. Contribute to system integration efforts, particularly around third-party services such as RingCentral, Twilio, AWS and internal APIs. Uphold code quality through peer reviews, consistent patterns and mentoring others on best practices across the full stack. Drive improvements in frontend ...

Deliver end-to-end AI solutions from ideation to production deployment. Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, LangChain, HuggingFace Transformers, or OpenAI API. Design prompt templates and implement retrieval strategies to increase answer precision and factuality. Assist in creating data pipelines … Experience with building Q&A systems and retrieval‐augmented generation pipelines. Knowledge of vector databases or semantic search concepts. Familiarity with cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI). Knowledge of MLOps practices and deployment pipelines. Ability to articulate business value of AI solutions and drive client ...

relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives. Job Summary Altus Group is building modern, AWS-native platforms used globally, and we’re looking for a Technical Engineering Manager who enjoys leading people, shaping technical direction, and staying close to real … Lean practices Technical Leadership & Delivery Work closely with Product and Architecture to shape technical strategy and delivery plans Guide teams building and evolving AWS-native and cloud-based platforms, alongside legacy systems Set and uphold strong engineering standards across code quality, testing, CI/CD, observability and documentation Stay close ...

engineering discipline. Comfort and curiosity with AI-assisted development tools and a track record of staying ahead of technology trends. Experience with cloud architecture (AWS, Azure, and/or Google Cloud). Proven experience with software engineering fundamentals: object-oriented and component-based design, design patterns, unit/integration testing ...

systems are resilient, cost‐efficient, and ready to scale as we grow. What you’ll be doing Design and maintain secure, scalable cloud infrastructure (AWS) for our production and staging environments Build and improve CI/CD pipelines to support rapid, high‐quality deployments Monitor and improve system availability, performance … cost‐efficiency Implement and manage observability tools (logging, metrics, tracing) Enhance infrastructure‐as‐code using AWS CDK and related tools Collaborate with engineers to streamline development workflows and deployment strategies Champion DevOps best practices across the company This role will be a great fit if you: 3+ years of experience ...

cloud, data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists … participate in operational support and incident escalation, and must have permission to work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure ...

correctness rather than only for exceptions. Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch). AWS fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock … comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code (AWS CDK or Terraform) and Docker. Experience we're looking for We care more about what you've owned than years on a CV. If you've built ...

initiatives. Set yourself apart: By showcasing the following: Zscaler Certification (ZCCA-IA, ZCCA-PA, ZCCP)CISSP, CCSP, or similar security credentialsCloud certifications in Azure, AWS, GCP (highley desirable)Certifications form other leading SASE/SSE vendors, such as Palo Alto Prisma, Netskope are advantageousNetwork certification such as CCNA or equivalentWhat ...

applications Proficient in Python and understanding of common libraries used by Python Proficient in HTTP, REST and web API best practices Good experience on AWS or any other cloud platform Experience with databases and data lakes: SQL, NoSQL, Databricks Experience with React, JavaScript (ES6+), HTML, and CSS Experience with ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

staff (interviews, assessments), and contributing to training materials to achieve curriculum outcomes. Requirements Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency … experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering ...

Liquidity and IRRBB reporting governance, control oversight, and data quality management activities. Contribute to the adoption and utilisation of strategic technology platforms, including Snowflake, AWS-based data services, Python, SQL, and AI-enabled productivity and analytical tools. Prepare materials and presentations for governance forums, senior management, and regulatory engagements. Analyse ...