designing/developing Enterprise scale software/platforms preferably with globally distributed engineering teams. Proficiency in .NetCore/Java/Python, Bootstrap and any JavaScript frameworks Expertise on native AWS/Azure platforms including Serverless functions , preferably Lambda in AWS Passionate expert in Modern Engineering, DevOps practices - Strong understanding of CI/CD, AI/ML pipelines and automation tools. More ❯
Get AI-powered advice on this job and more exclusive features. This range is provided by hubbul. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message More ❯
product Contribute to hiring additional talent to our rapidly growing team The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications and previous experience managing applied More ❯
and private mobile networks. · Ensure regulatory compliance (e.g., Ofcom, GDPR) and align with country-specific telecom policies. · Manage strategic vendor relationships with Ericsson, Nokia, Mavenir, Huawei, and cloud providers (AWS/Azure). · Drive IT transformation and automation (DevOps, CI/CD, RPA, AIOps). · Own cybersecurity governance, ensuring risk controls, data integrity, and continuity planning. Minor Ownership – Fintech · Support More ❯
Model Development, Implementation and Deployment: Develop and implement state-of-the-art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Contribute to model selection, architecture design, and technology More ❯
movements, manage risk, optimize generation assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What You’ll Do Build and maintain ML pipelines using SageMaker for training and … robust. Automate model lifecycle processes to support rapid iteration and reliability. What You’ll Need Strong experience in ML Ops with a focus on machine learning systems. Proficiency with AWS SageMaker, Python, Docker, and workflow orchestration tools. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation). Experience deploying and monitoring models in production environments. Understanding of CI/CD and More ❯
scalable, maintainable, and test-driven development (TDD). Strong experience in applications/system design, deployment, and maintenance on cloud platforms (Croud develops on both Google Cloud Platform and AWS ). Solid understanding of CI/CD pipelines (e.g., GitHub Actions ) and containerization tools like Docker . Expertise in secure software development and adherence to best practices (e.g., SOLID principles … Familiarity with diverse database types (SQL, NoSQL, graph, document, etc.) and selecting the right fit for specific use cases Knowledge of infrastructure automation using tools like Terraform, CloudFormation, or AWS CDK Exposure to front-end technologies (preferably Vue.js with TypeScript) to collaborate effectively with front-end teams Cloud platform certifications or equivalent experience with cloud-native development COMPANY BENEFITS Croud More ❯
and shipping features for our customers - we expect everyone to be engineers as well! Accelerating our CI/CD process Deploying Machine Learning models onto GPU-based systems on AWS Supporting engineers on high-value deployments and teaching best practices about CI/CD to these engineers Identifying and resolving security issues Automating tests and supporting our engineers on building … great software Minimum qualifications: Strong experience with monitoring/observability tools (Grafana, Prometheus, or similar) Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines Hands-on cloud experience (AWS or similar) A passion for designing and implementing scalable observability solutions Minimum 3 years experience working in a backend-related role Desirable: Security expertise or interest in vulnerability assessments Tech … Stack: Kubernetes (Knative) for containerized workloads AWS Lambda No-SQL databases PostgreSQL Serverless architectures All major AWSServices Auth0 for authentication OSO-Cloud for authorization CircleCI Git Join us now to revolutionize how audio production is delivered at scale! We offer great learning and development opportunities, hybrid and flexible working hours, stock options (subject to performance and tenure), and a More ❯
support and ensure the stability of Data Platform solutions. Participate in an on-call rotation for incident response. Manage cloud resources using IaC tools like CloudFormation and Terraform on AWS and GCP. Implement data security best practices in cloud applications. Apply cloud networking knowledge (VPCs, Route 53, Security Groups, NLB/ALB) for secure data flow. Design and maintain CI … scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge of data security principles in cloud environments. Familiarity with AWS networking (VPCs, Route 53, Security Groups, NLB/ALB). Experience More ❯
what doesn't. Nice to have: experience with dbt, dagster, Metabase, or Snowflake. Our Tech Stack We work with a modern, scalable data stack: Data & Infrastructure : Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt Analytics & Experimentation : Amplitude, Appsflyer, Metabase Orchestration & Modeling : Dagster for pipelines, dbt for transformations, and a strong experimentation layer across tools. You'll help shape insights and More ❯
Solutions Architect - Cloud Optimization Success Job ID: AWS EMEA SARL (UK Branch) - F93 AWS Cloud Optimization Success is seeking a Solutions Architect who will build out example scenarios and hands-on labs to demonstrate best practices for deploying workloads in the cloud. This person will work with internal and external stakeholders to help acquire and maintain a proficiency in conducting … Well-Architected Framework Reviews along with using tools like AWS Trusted Advisor and AWS Health, reviewing the results, and encouraging the resolution of any critical items or improvements detected in the workloads. The ideal candidate will be just as comfortable talking with the implementation engineers as they are talking with the CTO or CFO. We want to help our customers … and execution of this solution with end customers. The Role In this role, you will need to be technically capable and credible in shaping the solutions-focused skills of AWS partners and customers with respect to conducting AWS Well-Architected Framework Reviews, implementing best practices to remediate any critical issues, and educate customers and partners on how to improve their More ❯
insights to drive product and engineering decisions Mentor engineers, drive technical excellence, and contribute to a strong engineering culture ️ Our Tech Stack Services are written in Go, deployed in AWS ECS and communicate with our app with gRPC Our app is written in Dart with Flutter and is available on both Android and iOS Our NALA for Business product is … web-only and written in React and TypeScript. We use Postgres, Kafka, Redis and Vault We use and leverage AWS as much as possible, and we manage it with Terraform We write unit and integration tests, do code reviews and deploy multiple times a day We use Agile frameworks and also use Jira to manage How You Work Design-First More ❯
capture and analysis - Wireshark If you also had this, it would be great Experience with - (ISR/ASR/Nexus/Catalyst), wireless, ACI, Meraki, SDWAN, ISE Cloud Networking - AWS, Azure, Terraform and Cloud Formation Templates Automation & scripting - Python, Ansible, IaC Packet Broker - Gigamon Firewalls - Palo Alto, Cisco F5 - Big IP, LTM, GTM, ASM, AFM Infoblox - DNS, DHCP, NTP Linux More ❯
the main being: London, Birmingham, Edinburgh and Chester, Leeds. Job Description The Cloud DBA will be responsible for the maintenance and optimization of our PostgreSQL databases hosted on the AWS Cloud platform. The successful candidate will collaborate with cross-functional teams to ensure database reliability, availability, and performance, while also contributing to the overall architecture and strategy of our cloud … Participate in database schema design, indexing strategies, and query optimization to ensure efficient data storage and retrieval. 2. Database Deployment and Management: • Deploy and configure PostgreSQL database instances on AWS RDS, considering factors such as instance sizing, storage, and security. • Implement and manage replication, clustering, and backup/recovery strategies to ensure high availability and disaster recovery. 3. Performance Monitoring … Develop automation scripts and tools for routine database tasks, deployments, monitoring, and scaling. Qualifications Proven experience as a Cloud Database Administrator, with a focus on PostgreSQL. Strong experience with AWS cloud services, particularly RDS. AWS certification (e.g., AWS Certified Database - Speciality). In-depth knowledge of PostgreSQL database internals, architecture, and best practices. Proficiency in SQL, PL/pgSQL, and More ❯
requested tens of millions of times per day as well as internal tools that keep our community safe and our business efficient. We run a modern containerised stack in AWS using a mixture of database technologies (MySQL, DynamoDB, Redis, Redshift, Elasticsearch) to serve different workloads. Our architecture is event-driven and we're bringing increasingly more machine learning into the … get stuck in Bags of common sense with the raw ability and energy to make things happen, a real entrepreneurial spirit Bonus points Familiarity with building on the cloud AWSservices - we use over 30 AWSservices Experience working with ML technologies Protocols such as websockets and XMPP What you'll accomplish Collaborating on building new product features for our More ❯
or eligible candidates Some blend of the following: Low-level design and implementation of IAM services for single sign-on, identity governance and privilege user/secrets management in AWS (using ServiceNow for governance) AWS IAM AWS Identity Centre (SSO) AWS Secrets Manager Identity and Access Management Active Directory Customer Identity & Access Management (CiDAM)/IBM Security Verify Access API More ❯
platform, and governance stakeholders. Deploy and Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with … learning frameworks (GANs, VAEs, transformer-based architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management, with scalable deployments … across AWS, GCP, and Azure. Bridging business and technical teams, owning high- and low-level design for services, products, and solutions. Optimizing solutions to balance functionality, security, usability, and cost. Governance & Strategy: Experience establishing or operating within AI governance frameworks, with a focus on risk mitigation, Responsible AI compliance, and adherence to organizational standards. Ability to evaluate and manage technical More ❯
orientation and ability to build effective solutions Time management and organizational skills Preferred Qualifications: Generating Echo handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud More ❯
Senior Consultant - AI/ML and Generative AI, Professional Services GCC The AmazonWebServices Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AmazonWebServices (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You … ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely … trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the More ❯
experience working on AI/ML systems in production environments. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, scikit-learn. Experience designing and deploying models using cloud platforms (AWS, GCP, or Azure). Solid understanding of data structures, algorithms, and software engineering principles. Experience with APIs, data pipelines, and model-serving infrastructure. Strong problem-solving and communication skills; ability More ❯
text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face) LLMs & Emerging Tech More ❯
technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success with clients across multiple accounts Adept at working at all levels of the client's business Skilled negotiator who can persuade More ❯
Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Familiarity with cloud solutions (AWS, Azure, GCP) and foundational Data & AI tools, to effectively discuss their applications and benefits with clients ensuring value-driven discussions Analytical Mindset: Strong analytical skills, with the ability to synthesise More ❯
Senior Specialist Analytics Solutions Architect, ANZ, AGS Specialists Data and AI Job ID: AmazonWebServices Australia Pty Ltd AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet … objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise … able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Specialist More ❯
