4,276 to 4,300 of 9,082 AWS Jobs

StackWe believe in using the right tools for the job, and our stack reflects our commitment to modern, efficient development: Backend: PHP 8, Symfony, AWS, PostgreSQL, RabbitMQ, Docker, KubernetesCI/CD: GitHub Actions and ArgoCD (we deploy to production as soon as a feature is complete!)Testing: Behat, PHPUnit ...

strong background in software engineering, preferably with Go and/or Python Extensive experience with infrastructure tooling, ideally Terraform Extensive experience with managing AWS cloud environments Demonstrated ability to contribute to the direction of a technical domain in the platform space (eg. Container Orchestration, Kafka, Build Systems, Observability) Background ...

Helm Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization You excel in fast-paced environments and can execute while priorities and objectives are a moving target It's a bonus ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance ...

risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation ...

risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation ...

planning (MCTS, A*), or agentic/RL systems. Experience taking ML from prototype to production: reproducible pipelines, distributed jobs, and batch workflows on cloud (AWS/GCP/Azure) or HPC. Strong scientific computing instincts: clean Python, careful experiment design, leakage‐aware splits, and rigorous benchmarks. Clear communication with ...

SiriusPoint is a specialty underwriter providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange ...

SiriusPoint is a specialty underwriter providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange ...

drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

merge it, you own it. Excellent communication and collaboration skills, able to work effectively in cross-functional teams. Bonus points Experience with cloud platforms (AWS, GCP, Azure) Knowledge of CI/CD pipelines and automated testing Previous experience in AI/ML projects or startup environments. What we offer Compensation ...

Principal Payments ArchitectLocation: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentLead innovative payments transformation across financial services. About CapcoCapco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation ...

Background in data science, quantitative finance, or risk analytics. Proficiency in TypeScript/JavaScript (React preferred). Experience with Kubernetes and containerization. Experience with AWS or another public cloud provider. Assessment Criteria You may be assessed on key critical skills essential for success in this role, including risk and controls ...

field. Hands-on experience administering IAM platforms (e.g. Okta, GoogleWorkspace).Deep hands-on experience with GoogleWorkspace productsPractical hands-on experience with Cloud platforms (e.g AWS, GCP)Relevant and practical experience with Infrastructure-as-code (e.g Terraform)Experience implementing modern authentication standards (FIDO2, WebAuthn, SAML, OAuth 2.0, OpenID Connect).Practical experience ...

associated security standards and guidance including GovAssure/NCSC CAF, HMG Security Policy Framework. Knowledge of cloud security principles across platforms such as AWS, Azure, or GCP Experience with identity and access management, encryption, network security, and secure application design including security tooling Ability to communicate complex security concepts ...

process video, images, and audio through GenAI pipelines. API & Cloud Native: Strong experience chaining external APIs together and deploying applications securely on AWS, GCP, or Azure. Bonus Points If You Have Familiarity with social media APIs (Meta, TikTok, YouTube). Familiarity with video editing tools (e.g., Adobe Suite/APIs ...

across the GenAI stack: LLM APIs, retrieval and vector stores, agents with tool use, and structured outputs, running on cloud infrastructure (we use AWS and GCP). You have a real point of view on evaluation, most likely because you've been caught out by a system that looked fine ...

debugging distributed systems from traces; experience with OpenTelemetry’s GenAI semantic conventions a plus. Cloud‐native development, automating deployments, familiarity with container systems; AWS experience a plus. Excellent time management skills, comfortable coordinating work with colleagues in the US and around the globe. Excellent communication and leadership — driving architectural conversations ...

Viable Products (MVPs). Desirable: Cloud Platforms: Hands-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning, or mathematical optimisation. Academic Background: Degree ...

Aria Suite) Overlay/underlay network design concepts Automation of network configuration (Ansible, Terraform, APIs) Integration with security tooling (SIEM, SOC platforms) Cloud networking (AWS, Azure) and hybrid connectivity Experience working in secure or regulated environments This is not an exhaustive list, and we are keen to hear from ...

least one programming language (for example, Python, Rust, Go, or Java)Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCPStrong written and verbal communication skills, with experience driving alignment across teams or stakeholdersPreferred qualifications10+ years of software engineering experience, not including internshipsExperience ...

other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps ...

both strategic and technical levels, with strong stakeholder and communication skillsExperience hiring, mentoring, and developing technical talent at multiple levelsNice to have Experience with AWS cloud infrastructureExperience with cross-functional delivery in product-led organisationsExperience deploying conversational and agent-based systems in customer-facing productsExperience in travel, transport, marketplaces ...

microservices in SaaS/cloud environmentsExcellent collaboration and communication skills with an articulate, approachable approach to teamworkThe Tech StackLanguages: Golang, TypeScript, JavaScriptFrontend: AngularCloud & Infrastructure: AWS, Docker, Kubernetes, TerraformCI/CD & Tooling: Jenkins/CloudBees, GitAI-assisted engineering: Our engineers are expected to use AI development tools as a core part ...

operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data). Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent). Why join us? Were committed to supporting leaders who want to make an impact. ...