526 to 550 of 3,135 Digital & IT Jobs

field. Contribute to internal knowledge bases, reference architectures, and technical playbooks. Qualifications Required Skills & Experience Strong understanding of cloud networking architectures (AWS, Azure, GCP) including Transit Gateway, Virtual WAN, Cloud WAN, VPC/VNet design, hybrid connectivity, load balancing, service insertion, and network segmentation Deep understanding of firewalling … security solutions with SIEM, SOAR, DevOps, and enterprise observability platforms Additional Information Preferred Qualifications Certificates such as CCSP, AWS Solutions Architect, Azure Architect Expert, GCP Professional Cloud Architect, CKA/CKAD. Experience with Check Point CloudGuard, Quantum gateways, or equivalent cloud security platforms. Familiarity with DevSecOps practices ...

strategic ability to translate complex threats into clear, actionable guidance. Responsibilities Design and own cloud security architecture across AWS, Azure, and/or GCP environments, including the development of reference architectures and reusable solution patterns Define and author enterprise‐level security policies, controls frameworks, and governance documentation aligned … Security – Specialty (required), with CISSP, CRISC, or CCSP strongly preferred; additional certifications such as ISO 27001 Lead Implementer/Auditor, Azure Security Engineer, or GCP Security Engineer are advantageous Hands‐on experience securing workloads on AWS and/or Microsoft Azure (GCP experience beneficial) Track record of delivering security architecture ...

Company DescriptionIFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best ...

Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and challenges. Experience with cloud platforms (e.g., OpenStack, AWS, Azure, GCP). Additional Assets Understanding of infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to monitoring and logging tools (e.g., Prometheus, Grafana, OpenSearch). Experience ...

cloud infrastructure that underpins our rapidly growing SaaS platform. This is a multi-cloud role spanning both AWS and Google Cloud Platform, with an immediate focus on growing our GCP footprint and the systems that connect our environments across regions, accounts, and clouds. The work … extracting, anonymizing, and aggregating billions of data points with near real-time processing of email exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account ...

troubleshooting issues, conducting root cause analysis, and leading post-incident reviews to prevent recurrence Manage and optimize cloud infrastructure on AWS, Azure, or GCP to improve resource utilization and cost efficiency Implement Infrastructure as Code (IaC) and automate deployments through CI/CD pipelines to accelerate delivery and reduce … years of experience in SRE, DevOps, Cloud Infrastructure, or related roles Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with monitoring and observability tools Experience with CI/CD pipelines, Infrastructure as Code (IaC), and automation tools Knowledge of Linux systems, networking, Docker ...

Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‐effective model deployment via Vertex … designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting ...

Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‐effective model deployment via Vertex … designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting ...

focused engineering team, working on one of the Group’s flagship initiatives—delivering a strategic platform on Google Cloud Platform (GCP) that enables the business to realise next‐generation services aligned with the Bank’s long‐term vision. Key Responsibilities Architect, implement, and maintain highly resilient … Infrastructure as Code (IaC) using Terraform . Exposure to managing the full product lifecycle of cloud‐native core services. Hands‐on experience with GCP infrastructure and services . Deep understanding of cloud networking concepts such as Hybrid Connectivity , VPN , NAT , IPAM , DNS , and routing . Strong knowledge ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high-quality, well-tested solutions using modern … deployment . Experience with integration platforms, automation tools, low-code solutions and cloud technologies. Exposure to Google Cloud Platform (GCP), Azure or Terraform would be beneficial but isn't essential. A good understanding #J-18808-Ljbffr ...

BigQuery. Develop and maintain dbt macros, Jinja templates, and platform YAML definitions that auto-generate models across 26+ ad platforms. Manage and improve GCP infrastructure (BigQuery, Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub) provisioned via Terraform. Build and maintain the Python CLI tooling that … testing, and packages. Proficient in Python 3.11+ building CLI tools, data processing, and automation. Proficient in SQL, ideally BigQuery dialect. Experience with Google Cloud Platform especially BigQuery, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, and Cloud SchedulerExperience with Infrastructure as Code ...

calling, memory, reasoning and orchestration. RAG & retrieval Production RAG, embeddings, chunking, indexing, vector search, retrieval/ranking and grounding techniques. Google Cloud GCP knowledge with Vertex AI, cloud compute/storage and cloud databases; GKE experience is advantageous. Containers & serving Docker plus model packaging and serving ...

experienced Senior Data Architect to lead the design and delivery of modern, scalable data platforms across cloud ecosystems including Azure, AWS, and GCP, leveraging technologies such as Snowflake and Databricks. The role requires strong hands-on expertise in large-scale data migrations and a proven track record of building … large-scale data migration and legacy modernisation initiatives Architect and deliver data engineering, analytics, and AI-driven solutions Design solutions leveraging hyperscalers (Azure, AWS, GCP) and modern platforms (Snowflake, Databricks) Drive solutioning and pre-sales activities including RFIs, RFPs, proposals, and client presentations Build and scale data practice capabilities ...

Strong Collaboration skills, building effective partnerships across engineering, architecture and product teams to deliver shared outcomes. Experience with Google Cloud Platform (GCP). Knowledge of Large Language Models (LLMs), including prompting, evaluation and fine-tuning approaches. Experience with Docker, Kubernetes and AI observability, monitoring or evaluation frameworks. ...

premises and public cloud environments, from design through adoption. Deep expertise in at least one major cloud platform (AWS, Azure, or GCP) with working knowledge of a second, alongside practical experience with on-premises and private cloud infrastructure. Strong grounding in hybrid networking: dedicated interconnects, transit ...

commitment to code quality. Nice to Have Experience working with cloud platforms such as: AWS Microsoft Azure Google Cloud Platform (GCP) Project Overview You’ll be joining a team responsible for delivering multiple Kotlin and Java-based applications and proof-of-concepts that support software development ...

scalability, and systematic acceleration through the use of AI and agentic workflows. Advanced Cloud Engineering: Strong engineering background in securing cloud platforms (GCP preferred), containerized workloads (Kubernetes/Docker), and deploying robust Zero Trust frameworks. Acute Business & Risk Acumen: Exceptional ability to evaluate security through a commercial ...

bring experience working with cloud‐based Big Data platforms and services, including AWS and/or Google Cloud Platform (GCP). Ability to thrive in agile environments, with experience working within Scrum, Kanban, or similar delivery frameworks. Sound understanding of software and data lifecycle management principles ...

-native platforms Strong understanding of CI/CD, GitOps and modern engineering practices Nice to Have ArgoCD Grafana and Prometheus Ansible AWS, Azure, GCP or OpenStack Experience working within SaaS environments ...

enterprise applications in Java and Quarkus, with React user interfaces Develop secure, versioned REST APIs and independently deployable microservices Build event-driven solutions on GCP Pub/Sub: retries, idempotency, dead-letter handling, schema versioning Deploy and run workloads on Cloud Run and GKE, using Docker and Kubernetes Build … software engineering experience, with distributed cloud-native systems Advanced Java (17+), Quarkus, microservices and API development React, TypeScript/JavaScript, HTML5 and CSS3 GCP: Cloud Run, GKE, Pub/Sub, Cloud Build, IAM, Secret Manager Event-driven architecture and messaging patterns Docker and Kubernetes CI/ ...

focus on observability and incident response, followed by cloud cost and governance, then security posture. The role works primarily in AWS with some GCP workloads, alongside internally provided EA infrastructure and platform services. Because it is a fixed-term engagement, the engineer is expected to be productive early … teams the visibility they need to diagnose issues in their own services. Establish visibility of cloud spend across Ventures projects in AWS and GCP, identify and implement cost efficiency improvements, set up guardrails to prevent regressions, and define tagging, account, and resource conventions for attributable spend. Report on cost ...

based scientific and machine-learning workflows using Docker, Kubernetes, and modern CI/CD practices. Build and optimise secure cloud-native pipelines across GCP and AWS for data ingestion, storage, processing, and inference. Develop robust integrations between laboratory systems, data platforms, and cloud environments, including APIs and event … production services. Deep experience with Docker and container orchestration, ideally Kubernetes. Strong hands-on experience with one or more major cloud platforms, with GCP and AWS strongly preferred. Experience building CI/CD pipelines and deployment workflows for machine-learning or data-intensive applications. Experience designing and consuming REST ...

highly desirable. Proven track record mentoring engineers and fostering high‐performing, collaborative teams. Experience leading in an agile, cloud‐native environment (Docker, Kubernetes, GCP/AWS). Solid understanding of software design principles, testing practices, and CI/CD pipelines. Comfortable influencing without authority and aligning technical decisions ...

tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution of our cloud infrastructure on GCP – spanning compute, orchestration, and databases – to ensure models and workflows run efficiently, securely, and reliably. Contribute to improving system performance, reliability, scalability, and maintainability … statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment (e.g. AWS, GCP, or Azure). Experience validating, testing, and deploying quantitative or ML models. Comfortable working with high ownership in a small, senior team, partnering closely with Founders. ...

MLOps. Expert-level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion ...