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SENIOR FULLSTACK ENGINEERS

A well-established energy company is looking for two Senior Fullstack Engineers to help build and deliver an early AI and agentic capability solution on Azure. Focused on establishing technical foundations, architecture, and product direction, this role involves creating scalable, high-performance web applications that handle large volumes of data and integrate AI-driven components.

The successful engineer will collaborate closely with backend engineers, cloud specialists, and AI teams to deliver intelligent, production-ready applications.

CONTRACT

Initial 6-Month Contract (Potential Extension)£450 Per Day (Inside IR35)Hybrid Working (2 days a week in London)

WHAT YOU'LL BE DOING

Design, build, and maintain scalable front-end applications using React, Python, and modern JavaScript/TypeScript.Build front-end solutions that support high data throughput, performance optimisation, and responsiveness at scale.Collaborate on the deployment of applications to cloud environments (mostly Azure)Integrate front-end applications with AI-powered services, including LLM-based APIs, workflows, and Agentic AI systems.Work with containerised environments (e.g., Docker) and contribute to automation, orchestration services, and cloud-native deployment pipelines.Support CI/CD processes and promote reliable, repeatable deployments.

KEY REQUIREMENTS

experienceReact and Python experience (modern patterns, hooks, state management, performance optimisation etc.)Previously deployed applications to cloud platforms, ideally Microsoft Azure (AWS acceptable).Experience integrating front-end applications with APIs, microservices, and distributed systems.Familiarity with container technologies such as Docker and container-based deployment models.Experience working on applications that handle large datasets or high-traffic environments.Strong understanding of front-end performance, observability, and optimisation techniques.

WHAT NEXT…

If you're a Senior Fullstack Engineer with strong React and Python skills ready to work on cutting-edge AI capabilities, please hit apply!

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Overview:
Own and evolve our Jenkins Shared Library powering multi-language builds (Java/Maven, Node/NPM, Python, Helm, Terraform, containers). Deliver fast, secure, provenance-rich pipelines (SLSA, SBOM, digests) and strengthen supply‑chain integrity across teams.

Core Responsibilities:

Design and maintain Groovy pipeline steps (build, test, package, scan, deploy).Extend Python tooling for SLSA provenance, SBOM generation, hash/digest accuracy, and security scan aggregation (SonarQube, Sonatype IQ, SAST/Container).Optimize performance (parallel builds, caching, scope-reduced BOMs, dependency prefetch).Ensure artifact integrity (correct SHA1/SHA256 mapping, reproducible inputs, evidence modeling).Refactor legacy scripts (remove global state, consolidate hashing, standardize templates).Document ci-config.yaml standards and usage patterns.Mentor engineers on secure pipeline development and supply-chain practices.Troubleshoot and prevent pipeline incidents.

Essential Skills: -

7+ years engineering; 3+ in CI/CD platform or DevSecOps.Ownership and collaborative mindsets, able to operate with minimal supervision. Advanced Python development experience - (best coding practises, APIs, JSON/YAML processing, tooling scripts) - should demonstrate key projects in CVStrong Jenkins + Groovy shared library expertise.Deep Maven/NPM/Python packaging knowledge; exposure to Helm/Terraform and container image metadata.Supply-chain security (SLSA, CycloneDX SBOM, digests).Experience with SonarQube, Sonatype IQ, container and SAST scanning.Proven performance tuning (caching, parallelization, dependency pruning).Compliance Awareness.

Nice-to-Have

Artifact signing / attestations (cosign, OCI).Terraform module and Helm chart publishing patterns.GitOps or release automation experience.GCP/AWS cloud experience

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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Role- Senior Security Automation Engineer
Type- Contract
Duration- 12+ months
Location- Mt. Laurel, NJ

Overview

Seeking a Senior Security Automation Engineer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands-on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities

Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.Automate processes across:Threat IntelligenceThreat HuntingDetection EngineeringSecurity InvestigationsIncident ResponseSecurity Data AnalysisApply advanced AI techniques including:Tool CallingRetrieval-Augmented Generation (RAG)Structured GenerationPlanning & ReflectionVerificationModel RoutingMulti-Agent CoordinationDesign memory, context management, task recovery, escalation, and human approval mechanisms.Reduce false positives and operational noise while improving response speed and consistency.Develop security controls and guardrails for AI systems.Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.Take solutions from prototype to production and continuously optimize them.

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.Strong hands-on software development experience.Experience building production-grade automation or AI-powered applications.Experience with LLMs, Generative AI, or Agentic AI technologies.Strong programming skills, particularly in Python or other modern languages.Experience integrating APIs, tools, data sources, and external systems.Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.Strong analytical, problem-solving, and scalable system design skills.

Preferred Qualifications

Experience building agentic AI systems or autonomous security workflows.Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response.Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval.Experience with multi-agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks.Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Proven ability to take AI solutions from proof of concept (POC) to production deployment.Understanding of enterprise AI security controls and best practices.

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Role- Full Stack Pythomn Developer
Type- Contract
Duration- 12+ months
Location- Philadelphia, PA

Overview

Seeking a Full Stack Python Developer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands-on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities

Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.Automate processes across:Threat IntelligenceThreat HuntingDetection EngineeringSecurity InvestigationsIncident ResponseSecurity Data AnalysisApply advanced AI techniques including:Tool CallingRetrieval-Augmented Generation (RAG)Structured GenerationPlanning & ReflectionVerificationModel RoutingMulti-Agent CoordinationDesign memory, context management, task recovery, escalation, and human approval mechanisms.Reduce false positives and operational noise while improving response speed and consistency.Develop security controls and guardrails for AI systems.Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.Take solutions from prototype to production and continuously optimize them.

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.Strong hands-on software development experience.Experience building production-grade automation or AI-powered applications.Experience with LLMs, Generative AI, or Agentic AI technologies.Strong programming skills, particularly in Python or other modern languages.Experience integrating APIs, tools, data sources, and external systems.Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.Strong analytical, problem-solving, and scalable system design skills.

Preferred Qualifications

Experience building agentic AI systems or autonomous security workflows.Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response.Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval.Experience with multi-agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks.Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Proven ability to take AI solutions from proof of concept (POC) to production deployment.Understanding of enterprise AI security controls and best practices.

GCS is acting as an Employment Business in relation to this vacancy.

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This position is ideal for an engineer who enjoys solving complex problems and building new capabilities from the ground up. The role goes beyond traditional security scripting, SOAR configuration, or test automation. You will help develop intelligent systems that can augment and automate the work performed by threat intelligence, threat hunting, detection engineering, investigation, and incident response teams.

Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.What We're Looking For

We're looking for a builder who can take an ambiguous security problem and turn it into a working, scalable automation solution.

The ideal candidate is comfortable getting hands-on with code, experimenting with emerging AI technologies, integrating multiple systems, and figuring out how to move an idea from prototype to production.

You don't necessarily need to come from a cybersecurity background. Strong AI, software engineering, and automation experience is the priority. You'll have the opportunity to work alongside experienced security professionals who can provide the domain expertise.

The Opportunity

Comcast's Cyber Security Operations Center is working toward a machine-speed SOC capable of responding quickly and effectively to large-scale and concurrent security incidents.

As a Senior Security Automation Engineer, you'll help build the intelligent automation that makes that possible-reducing manual work, cutting through noise and false positives, and giving security teams the ability to focus their expertise where it matters most.

GCS is acting as an Employment Business in relation to this vacancy.

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Job Summary

Seeking a Senior Python Developer to build and productionize a cloud-based Quality Control platform used to inspect robotic storage racks through 3D camera systems. The role focuses on developing AWS IoT data pipelines, backend services, cloud integrations, and testing frameworks to support large-scale robotics deployments across multiple sites.

Key ResponsibilitiesBuild and maintain AWS IoT data pipelines using MQTT, AWS IoT Core, Lambda, and S3.Develop scalable backend services in Python for processing image and video data.Integrate cloud services with internal APIs and downstream systems.Own integration testing and ensure end-to-end system reliability.Review, validate, and enhance AI-generated code.Contribute to CI/CD, DevOps, monitoring, and deployment automation.Support validation, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver project milestones in a fast-paced environment.Required SkillsStrong Python development experience.Hands-on experience with AWS IoT Core, MQTT, Lambda, and S3.Expertise in device-to-cloud or IoT data pipelines.Experience with serverless architectures and API integrations.Strong understanding of CI/CD, DevOps, and production support.Experience with integration testing and system troubleshooting.Ability to work effectively in a collaborative, agile environment.Comfortable using and reviewing AI-assisted code development tools.Nice to HaveComputer Vision, image/video processing, or machine vision experience.Machine Learning or anomaly detection exposure.NVIDIA Jetson or edge-device familiarity.Experience in IoT, robotics, smart devices, industrial automation, or connected products.

GCS is acting as an Employment Business in relation to this vacancy.

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Job Summary

Seeking a Senior Python Developer to build and productionize a cloud-based Quality Control platform used to inspect robotic storage racks through 3D camera systems. The role focuses on developing AWS IoT data pipelines, backend services, cloud integrations, and testing frameworks to support large-scale robotics deployments across multiple sites.

Key ResponsibilitiesBuild and maintain AWS IoT data pipelines using MQTT, AWS IoT Core, Lambda, and S3.Develop scalable backend services in Python for processing image and video data.Integrate cloud services with internal APIs and downstream systems.Own integration testing and ensure end-to-end system reliability.Review, validate, and enhance AI-generated code.Contribute to CI/CD, DevOps, monitoring, and deployment automation.Support validation, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver project milestones in a fast-paced environment.Required SkillsStrong Python development experience.Hands-on experience with AWS IoT Core, MQTT, Lambda, and S3.Expertise in device-to-cloud or IoT data pipelines.Experience with serverless architectures and API integrations.Strong understanding of CI/CD, DevOps, and production support.Experience with integration testing and system troubleshooting.Ability to work effectively in a collaborative, agile environment.Comfortable using and reviewing AI-assisted code development tools.Nice to HaveComputer Vision, image/video processing, or machine vision experience.Machine Learning or anomaly detection exposure.NVIDIA Jetson or edge-device familiarity.Experience in IoT, robotics, smart devices, industrial automation, or connected products.

GCS is acting as an Employment Business in relation to this vacancy.

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Job Summary

Seeking a Senior Python Developer to build and productionize a cloud-based Quality Control platform used to inspect robotic storage racks through 3D camera systems. The role focuses on developing AWS IoT data pipelines, backend services, cloud integrations, and testing frameworks to support large-scale robotics deployments across multiple sites.

Key ResponsibilitiesBuild and maintain AWS IoT data pipelines using MQTT, AWS IoT Core, Lambda, and S3.Develop scalable backend services in Python for processing image and video data.Integrate cloud services with internal APIs and downstream systems.Own integration testing and ensure end-to-end system reliability.Review, validate, and enhance AI-generated code.Contribute to CI/CD, DevOps, monitoring, and deployment automation.Support validation, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver project milestones in a fast-paced environment.Required SkillsStrong Python development experience.Hands-on experience with AWS IoT Core, MQTT, Lambda, and S3.Expertise in device-to-cloud or IoT data pipelines.Experience with serverless architectures and API integrations.Strong understanding of CI/CD, DevOps, and production support.Experience with integration testing and system troubleshooting.Ability to work effectively in a collaborative, agile environment.Comfortable using and reviewing AI-assisted code development tools.Nice to HaveComputer Vision, image/video processing, or machine vision experience.Machine Learning or anomaly detection exposure.NVIDIA Jetson or edge-device familiarity.Experience in IoT, robotics, smart devices, industrial automation, or connected products.

GCS is acting as an Employment Business in relation to this vacancy.

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Python Developer

Job Summary

Seeking a Senior Python Developer to build and productionize a cloud-based Quality Control platform used to inspect robotic storage racks through 3D camera systems. The role focuses on developing AWS IoT data pipelines, backend services, cloud integrations, and testing frameworks to support large-scale robotics deployments across multiple sites.

Key ResponsibilitiesBuild and maintain AWS IoT data pipelines using MQTT, AWS IoT Core, Lambda, and S3.Develop scalable backend services in Python for processing image and video data.Integrate cloud services with internal APIs and downstream systems.Own integration testing and ensure end-to-end system reliability.Review, validate, and enhance AI-generated code.Contribute to CI/CD, DevOps, monitoring, and deployment automation.Support validation, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver project milestones in a fast-paced environment.Required SkillsStrong Python development experience.Hands-on experience with AWS IoT Core, MQTT, Lambda, and S3.Expertise in device-to-cloud or IoT data pipelines.Experience with serverless architectures and API integrations.Strong understanding of CI/CD, DevOps, and production support.Experience with integration testing and system troubleshooting.Ability to work effectively in a collaborative, agile environment.Comfortable using and reviewing AI-assisted code development tools.Nice to HaveComputer Vision, image/video processing, or machine vision experience.Machine Learning or anomaly detection exposure.NVIDIA Jetson or edge-device familiarity.Experience in IoT, robotics, smart devices, industrial automation, or connected products.

GCS is acting as an Employment Business in relation to this vacancy.

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