and services. Participate in code reviews and contribute to continuous improvement across the team. Required Skills Proficiency in Python and unit testing frameworks (e.g., pytest ). Strong experience with Google Cloud Platform (GCP) , including Cloud Run and core web infrastructure. Solid understanding of Infrastructure-as-Code tools (e.g., Terraform ) and modular development best practices. Familiarity with agile methodologies and … application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and GoogleKubernetesEngine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this opportunity aligns with your experience and career goals. More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, GoogleKubernetesEngine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, GoogleKubernetesEngine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, GoogleKubernetesEngine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, GoogleKubernetesEngine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯
london (city of london), south east england, united kingdom
HCLTech
and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, GoogleKubernetesEngine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Charles Simon Associates Ltd
GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/Hybrid Salary: Flexible, Dependant on Experience Are … . For clarity, you must be working on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent … on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker). Familiarity with CI/CD pipelines and tooling. Solid knowledge of Linux, networking, and cloud security best practices. Experience with scripting languages (Python, Bash, Go). More ❯
other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential CSED backend Demonstrated experience of Python backend development (e.g. using FastAPI) React frontend experience ideally Strong skills … software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological … genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and GoogleKubernetesEngine would be an advantage More ❯
Social network you want to login/join with: Google Cloud Architect Role: Google Cloud Architect Location: London Career Level: Associate Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of … clients and communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Role Description We are seeking a skilled and experienced Google Cloud Technical Architecture Associate Manager to join the Google Cloud group within Accenture Technology in the UK. The group engineers and implements infrastructure, tools, access, and telemetry for … UK At least one Google Cloud Professional level certification Expertise in a wide range of Google Cloud products and services (Engine, App Engine, Cloud Storage, GKE, etc.) and broader IaaS solutions (Kubernetes, systems virtualization, etc.) Experience architecting and engineering technical cloud-based solutions to meet business and non-functional requirements Hands-on experience creating comprehensive More ❯
dynamic people to join our team. Want to join us? Your new role Overleaf is a scaleup and social enterprise that builds modern collaborative authoring tools for scientists - like Google Docs for Science. We build an online, real-time collaborative editor for papers, theses and other documents written in the LaTeX markup language. We have over 21 million registered … of these areas, unfortunately your application will not be considered. What you'll be doing Our backend stack is mainly Node.js, Express, MongoDB and Redis. We are hosted on Google Cloud Platform, mainly in GoogleKubernetes Engine. Our frontend stack is React with TypeScript. And we're in large part open source. We deploy 2-6 times … be fine): Experience in some of the other key technologies we use (Linux, Docker, Prometheus, Express, MongoDB, Redis, PostgreSQL). Experience integrating large scale pub-sub systems such as Google Cloud Pub/Sub. We expect you to: Work with us full time. Have strong written and verbal communication in English. Be available during core hours (1400 to More ❯
and self-service tooling to remove manual effort. Deliver full-stack solutions - from engaging front-end interfaces to scalable back-end services. Architect and deploy microservices in GCP/GKE , driving automation and resilience. Manage infrastructure through Terraform and other IaC tools. Work across Linux environments with VSCode. Apply best practice principles (PEP8, SOLID, SDLC, CI/CD, DevOps). More ❯
for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and associated technologies, preferably GCP, CI/CD (Jenkins, Harness), Containerisation, Orchestration, IAM, VPC, GKE Exposure and familiarity with monitoring and logging tools such as Dynatrace and Splunk. A solid understanding of networking, firewalls, load balancing, and cloud security patterns. Experience of API Management tools More ❯
and distributed system design for one of the most ambitious financial technology projects in the world. Why apply? Greenfield engineering - modern tech stack: Java, Spring Boot, Kubernetes (EKS & GKE), Kafka, Apache Ignite, MongoDB, RabbitMQ, Solace Massive scale - billions of risk calculations per day across trading desks globally Impact & visibility - shape the technical direction while mentoring global engineering teams Hybrid … employee discounts, and more) What you'll do Lead technical direction of a next-gen cross-asset risk platform Drive cloud adoption (AWS & GCP), with hands-on focus on Kubernetes and distributed systems Set coding standards, architecture patterns, and best practices across a global engineering team Work with senior stakeholders, cloud vendors (AWS, Google) , and quant teams to … guide developers while staying hands-on in the codebase What we're looking for Expert knowledge of Java/JVM/Spring Boot Deep experience with Kubernetes (EKS, GKE) and cloud platforms (AWS, GCP) Proven background in distributed systems, event-driven architecture, and high-performance platforms Strong leadership skills - able to influence, mentor, and set technical strategy Experience with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
and distributed system design for one of the most ambitious financial technology projects in the world. Why apply? Greenfield engineering - modern tech stack: Java, Spring Boot, Kubernetes (EKS & GKE), Kafka, Apache Ignite, MongoDB, RabbitMQ, Solace Massive scale - billions of risk calculations per day across trading desks globally Impact & visibility - shape the technical direction while mentoring global engineering teams Hybrid … employee discounts, and more) What you'll do Lead technical direction of a next-gen cross-asset risk platform Drive cloud adoption (AWS & GCP), with hands-on focus on Kubernetes and distributed systems Set coding standards, architecture patterns, and best practices across a global engineering team Work with senior stakeholders, cloud vendors (AWS, Google) , and quant teams to … guide developers while staying hands-on in the codebase What we're looking for Expert knowledge of Java/JVM/Spring Boot Deep experience with Kubernetes (EKS, GKE) and cloud platforms (AWS, GCP) Proven background in distributed systems, event-driven architecture, and high-performance platforms Strong leadership skills - able to influence, mentor, and set technical strategy Experience with More ❯
for Architectural Frameworks such as TOGAF, Archimate, Software patterns or similar. Experience of Cloud patterns and associated technologies, preferably GCP, CI/CD (Jenkins, Harness), Containerisation, Orchestration, IAM, VPC, GKE Exposure and familiarity with monitoring and logging tools such as Dynatrace and Splunk. A solid understanding of networking, firewalls, load balancing, and cloud security patterns. Experience of API Management tools More ❯
at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI/CD & Automation: CI/CD Pipelines: GitHub Actions GitOps/Continuous Delivery: Argo CD Primary Scripting/Automation … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management More ❯
for cloud resource provisioning and management Proficiency with CI/CD pipelines and DevOps practices for data applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven experience designing and supporting multi-tenant More ❯
DevOps and platform engineering , including: CI/CD pipelines (GitHub Actions, GitLab, Jenkins, Azure DevOps) Infrastructure as Code (Terraform, Ansible, CloudFormation) Containerisation and orchestration (Docker, Kubernetes, AKS, EKS, GKE) Cloud security, governance, and compliance frameworks Experience building and maintaining senior stakeholder relationships, presenting solutions, and driving consensus between business and technical teams. Track record of coaching, mentoring, and leading More ❯
to travel to the office when needed so being located within a few hours of Central London would be hugely beneficial. The Job: Own CI/CD pipelines Own Kubernetes platform and lead roadmap of improvements Identify tools, patterns and best practises Ensuring scalable, automated and secure systems Design & architect software Developing infrastructure as code to ensure synergy across … implement monitoring, logging, and tracing, ensure observability and alerting are in place Setting up security best practises to maintain platform and data The candidate: GCP - as much as possible (GKE, Cloud Build, Cloud SQL, Pub/Sub, Dataflow, Bigtable/Bigquery. IAM, Container registry, KSM) Kubernetes - as much as possible (GKE, HPA, gRPC, Multi cluster communication, service meshes, control More ❯
navigate through the differing needs and systems of each airline whilst building a fantastic developer experience to go with it. The tools used on the team include Elixir, Phoenix, Kubernetes and Google Cloud Platform. Site Reliability Engineering at Duffel As an SRE at Duffel, you'll be part of a small team within engineering that is responsible for … we're looking for - An infrastructure and systems engineering generalist who is comfortable diving deep into the weeds on different issues. Some recent examples include: - A configuration issue between Google's Load Balancer and the HTTP server in our main Elixir application causing HTTP 5XX responses to be returned to our customers. - Debugging an issue in our OpenTelemetry pipelines … with if you join the team. - We run our infrastructure on Google Cloud Platform, so you'll be helping to run a few of their products such as GKE, CloudSQL for PostgreSQL, BigQuery, Memorystore (Redis) and more. - We manage the infrastructure and security for a segregated PCI Cardholder Data Environment, entirely managed with Google Cloud Platform services and More ❯
reduce through automation Contribute to DR and systems resiliency testing & improvements Contribute own ideas and reliability improvement suggestions to the Product backlog Support the migration of markets applications to Google Cloud Platform (GCP) Act as a mentor to … L2 and L1 SRE colleagues What We're Looking for: Experience with Linux-based systems Experience with Cloud-based platform(s) - Google Cloud Platform, GCE, and/or GKE a bonus Understanding of application architectures and messaging protocols Competent programming/scripting skills (Python, Bash, etc.) Strong problem-solving and analytical abilities. Excellent communication and teamwork skills. Eagerness to … learn and adapt in a fast-paced trading environment. Desirable Experience with metrics & monitoring, OpenTelemetry, Splunk, Prometheus, Grafana, etc. Experience and knowledge of working with distributed systems Experience with Kubernetes Knowledge of networking (HTTP/TCP/UDP/IP). Experience in Financial markets. Experience working in an agile environment. Why CME Group: Be part of a global More ❯
in an SRE role, a software engineering role or a systems engineering role. This role is a Sun-Thursday shift. Key Responsibilities: Support the migration of Clearing applications to Google Cloud Platform (GCP) and 7 day trading Participate in building observability, monitoring and alerting for key services - continuously improving our SLI & SLOs and observability data enabling faster issue detection … to L2 and L1 SRE colleaguesWhat We're Looking for: Experience with Linux-based systems Experience with Cloud-based platform(s) - Google Cloud Platform, GCE, and/or GKE a bonus Understanding of application architectures and messaging protocols Some experience programming/scripting skills (Python, Bash, etc.) Strong problem-solving and analytical abilities. Excellent communication and teamwork skills. Eagerness … learn and adapt in a fast-paced trading environment.Desirable Experience with metrics & monitoring, OpenTelemetry, UC4, Splunk, Prometheus, Grafana, etc Experience and knowledge of working with distributed systems Experience with Kubernetes Knowledge of networking (HTTP/TCP/UDP/IP). Experience in Financial markets. Experience working in an agile environment.Why CME Group: Be part of a global leader More ❯
Site Reliability Engineer - Google Cloud Platform (GCP) - Kubernetes - HashiCorp - 12 month contract - Glasgow Hybrid (3 days onsite) I have an immediate opportunity for an SRE/Google Cloud Consultant on a major GCP implementation programme for our client in central Glasgow. Flexibility to work 3 days onsite is expected. In particular, you will be joining a multi … this role, you will be designing and improving systems, streamlining operational processes, and delivering high-quality, scalable solutions for the business. Responsibilities: Deliver and support Vault services in a Google Cloud environment. Work closely with engineers and stakeholders to improve service performance, automation, and observability. Contribute to service onboarding, integration with existing platforms, and compliance with architectural standards. Take … knowledge-sharing sessions. Participate in the on-call rota, responding to operational incidents where required. I am therefore keen to speak with candidates who have Extensive experience working with Google Cloud Platform technology in enterprise scaled environments. Excellent Kubernetes knowledge and practical experience. Background delivering and maintaining enterprise-level applications and services. Proficiency in Terraform, Helm, and automation More ❯
GCP DevOps Engineer (AI/ML) 12 Month Contract Hybrid, West Sussex Randstad is seeking a Google Cloud Platform Subject Matter Expert with a DevOps and AI/ML focus to design, automate, and secure next-generation cloud platforms for artificial intelligence and machine learning workloads. This position will involve combining deep GCP expertise with DevOps engineering to enable … scalable and automated AI solutions within highly regulated and security-sensitive environments. Essential Skills: Strong hands-on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure … as Code (IaC) using Terraform. Experience deploying and managing AI/ML workloads with Kubernetes/GKE. Strong scripting skills in Python for ML and AI integration. Knowledge of cloud security, data privacy, and compliance for regulated environments. This is an urgent role, and the hiring team is actively shortlisting candidates. Please apply with your CV or email visweswari.achanta More ❯
