Fiber Optic AnalystLocation: Remote Contract: 12+ MonthsOverviewWe are seeking an experienced Fiber Engineer to support fiber network testing,... Read more
Location: Remote
Contract: 12+ Months
We are seeking an experienced Fiber Engineer to support fiber network testing, troubleshooting, and remediation activities across ISP and OSP environments. This role will focus on OTDR analysis, fiber characterization, bidirectional testing, and documenting findings to ensure network performance and reliability.
Required Qualifications5+ years of experience in Fiber Optics or TelecommunicationsExperience with ISP and OSP fiber networksStrong expertise with OTDR testing and troubleshootingExperience performing CD/PMD, bidirectional, and power meter/laser testingKnowledge of fusion splicing, fiber repair, and remediationExperience with fiber end-face inspection and cleaningProficiency with Microsoft Word and ExcelStrong communication, documentation, and problem-solving skillsAbility to travel as required for field workKey ResponsibilitiesPerform OTDR testing to validate fiber paths and identify faults, splices, bends, and signal lossConduct fiber characterization, bidirectional testing, and power/loss analysisTroubleshoot fiber network issues and recommend remediation solutionsPerform fusion splicing and fiber repairs as neededPrepare test reports, redlined fiber documentation, and demarcation mapsCoordinate with vendors, project managers, and internal teams to support project executionTravel to customer sites for testing, troubleshooting, and remediation activitiesWhat You'll OwnFiber testing and validationOTDR analysis and troubleshootingRemediation and fusion splicing activitiesTechnical reporting and documentationVendor and stakeholder communicationFiber network performance verificationDeliverablesOTDR, CD/PMD, and power/loss test reportsRedlined fiber path documentation and demarcation mapsDocumented remediation and retest resultsTest findings and recommendations shared with vendors and project stakeholdersRequired: Prior experience in Fiber Testing, OTDR Analysis, ISP/OSP Networks, Fiber Characterization, and Telecommunications environments.
GCS is acting as an Employment Business in relation to this vacancy.
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Python DeveloperJob SummarySeeking a Python Developer to build and productionize a cloud-based Quality Control platform used to inspect... Read more
Seeking a 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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Senior Software Developer Locations: RemoteContract DetailsContract Length: 12+ MonthsEmployment Type: ContractWork Model: Remote/HybridTravel: Minimal (up to 3 trips,... Read more
Senior Software Developer
Locations: Remote
Contract DetailsContract Length: 12+ MonthsEmployment Type: ContractWork Model: Remote/HybridTravel: Minimal (up to 3 trips, primarily Seattle or Boston)Amazon Robotics is seeking a Senior Software Developer to support the development of a next-generation Quality Control platform that uses 3D cameras, IoT devices, and cloud-based machine learning to inspect robotic storage racks before deployment in Amazon fulfillment centers.
This role focuses on building and productionizing AWS-based IoT data pipelines, backend services, and cloud integrations that enable reliable processing of image and video data at scale.
Key ResponsibilitiesDesign and develop end-to-end data pipelines using AWS IoT Core, MQTT, Lambda, and S3.Build scalable backend applications and APIs using Python.Process and manage high-volume image and video data from camera-based inspection systems.Integrate cloud services with internal applications and APIs.Develop and execute integration testing strategies to ensure system reliability.Review, validate, and improve AI-generated code before production deployment.Contribute to CI/CD pipelines, DevOps practices, monitoring, and deployment automation.Troubleshoot connectivity, performance, and data flow issues across IoT and cloud environments.Support validation testing, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver key project milestones.Required SkillsStrong experience developing production applications with Python.Hands-on experience with AWS IoT Core, MQTT, AWS Lambda, and Amazon S3.Experience building device-to-cloud or IoT data ingestion pipelines.Strong understanding of serverless architecture and cloud-native development.Experience integrating APIs and distributed systems.Knowledge of CI/CD, DevOps, automation, and cloud deployment practices.Experience with integration testing, troubleshooting, and production support.Comfortable working with and reviewing AI-assisted code development tools.Strong communication and collaboration skills.Preferred SkillsComputer Vision, image processing, or video analytics experience.Exposure to Machine Learning or anomaly detection solutions.Familiarity with NVIDIA Jetson or edge-device platforms.Experience in IoT, Robotics, Industrial Automation, Smart Devices, or Connected Products.
GCS is acting as an Employment Business in relation to this vacancy.
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Role OverviewJoin a high-impact engineering team responsible for building and improving software that powers connected consumer devices. We... Read more
Join a high-impact engineering team responsible for building and improving software that powers connected consumer devices. We are seeking a Senior Embedded Middleware Developer with expertise in embedded systems, networking protocols, and Linux-based platforms.
What You'll DoDevelop and maintain middleware software components.Work closely with hardware and platform teams to ensure seamless system integration.Investigate and resolve complex software and connectivity issues.Analyze Wi-Fi packet behavior and network performance.Participate in architecture discussions, design reviews, and feature planning.Optimize system performance, reliability, and scalability.Qualifications5+ years of embedded software development experience.Strong proficiency in C programming.Experience with Linux-based embedded platforms.Understanding of IP networking and wireless communication technologies.Familiarity with SoC integration and vendor SDKs.Ability to troubleshoot issues across software, networking, and hardware layers.
GCS is acting as an Employment Business in relation to this vacancy.
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Java Data Engineer IV (Contractor)Location: Philadelphia, PA (1701 John F. Kennedy Blvd) Type: ContractAbout the RoleOur team is... Read more
Location: Philadelphia, PA (1701 John F. Kennedy Blvd)
Type: Contract
Our team is seeking a Java Data Engineer IV to support a high-impact data engineering initiative focused on modernizing and scaling enterprise analytics. This role will be instrumental in building and enhancing the data pipelines that power inventory, supply, and yield reporting, enabling business-critical analytics delivered through Tableau Cloud.
You'll work alongside experienced data engineers to develop robust ETL solutions, migrate legacy data workloads, and build cloud-native data pipelines using AWS, Databricks, and Snowflake. This is an excellent opportunity for an engineer who enjoys solving complex data challenges in a collaborative Agile environment.
What You'll DoDesign, develop, and maintain scalable ETL and data engineering pipelines.Build data pipelines that ingest, transform, and load enterprise data into Databricks.Develop and enhance Java-based applications and microservices supporting data processing.Partner with engineering teams to translate business requirements into reliable technical solutions.Build, test, and optimize pipelines using AWS, Databricks, and Snowflake.Create technical documentation, design specifications, and support quality assurance efforts.Develop infrastructure using Terraform for repeatable cloud deployments.Build and maintain CI/CD pipelines using GitHub Actions or Concourse.Troubleshoot production issues and provide post-deployment support.Improve reliability, reduce single points of failure (SPOF), and implement risk mitigation strategies.Enhance and modernize legacy data engineering jobs while supporting cloud migration initiatives.Collaborate with cross-functional teams to establish engineering best practices and improve platform performance.Required Qualifications7+ years of software engineering or data engineering experience.Strong Java development experience.Hands-on experience with Spring Boot and Microservices architecture.Experience building ETL or data integration pipelines.Experience with AWS cloud services.Strong SQL skills.Experience with Databricks and/or Snowflake.Experience with Infrastructure as Code using Terraform.Experience building CI/CD pipelines using GitHub Actions, Concourse, Jenkins, or similar tools.Strong understanding of software testing, quality assurance, and production support.Excellent problem-solving and troubleshooting skills.Experience working in Agile development environments.Preferred QualificationsExperience supporting enterprise analytics or reporting platforms.Experience migrating legacy ETL workloads to modern cloud platforms.Familiarity with Tableau Cloud or other BI platforms.Experience optimizing large-scale data pipelines for performance and reliability.Knowledge of data governance and cloud data architecture best practices.What Success Looks LikeDeliver scalable, reliable cloud-based data pipelines.Successfully support migration of legacy data engineering workloads.Improve deployment automation and infrastructure reliability.Minimize production issues through proactive monitoring and risk mitigation.Enable high-quality analytics by delivering trusted, well-documented data assets.Technical EnvironmentLanguages: Java, SQLFrameworks: Spring Boot, MicroservicesCloud: AWSData Platforms: Databricks, SnowflakeInfrastructure: TerraformCI/CD: GitHub Actions, Concourse (or similar)Reporting: Tableau CloudMethodology: Agile
If you're passionate about building modern cloud data platforms, enjoy solving complex engineering challenges, and thrive in a collaborative environment, we'd love to hear from you.
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Machine Learning Engineer IRemote (USA)About the RoleWe are seeking a talented and motivated Machine Learning Engineer I to... Read more
Remote (USA)
About the RoleWe are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.
The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.
Key ResponsibilitiesDevelop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.Build scalable data pipelines for feature engineering, model training, evaluation, and inference.Collaborate with data scientists and software engineers to transition research and prototypes into production systems.Improve recommendation and ranking models using large-scale behavioral and engagement data.Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.Write clean, maintainable, and efficient Python code following software engineering best practices.Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.1-3 years of relevant experience, including internships, research, academic projects, or professional experience.Strong programming skills in Python.Solid understanding of machine learning fundamentals, including:Supervised learningClassification and regressionFeature engineeringModel evaluation and validationExperience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.Strong analytical and problem-solving skills.Why Join Us?Work on machine learning products that impact large-scale user experiences.Collaborate with highly skilled engineers, data scientists, and researchers.Gain hands-on experience deploying production-grade machine learning solutions.Grow your expertise in modern ML technologies and scalable systems.Flexible remote work environment with opportunities for learning and career development.
GCS is acting as an Employment Business in relation to this vacancy.
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🚨 Hiring: DOCSIS Device SME 🚨📍 Locations: Philadelphia, PA 🏢 On-Site | Contract-to-HireWe are seeking a DOCSIS Device... Read more
🚨 Hiring: DOCSIS Device SME 🚨
📍 Locations: Philadelphia, PA
🏢 On-Site | Contract-to-Hire
We are seeking a DOCSIS Device SME with strong expertise across both the hardware and software aspects of Cable Modems and Residential Gateways. This role will focus on DOCSIS device architecture, firmware, interoperability, provisioning, security, performance optimization, and customer deployments for next-generation broadband solutions.
Key ResponsibilitiesServe as the technical lead for DOCSIS-based cable modem and gateway platforms.Support device architecture, firmware functionality, and feature integration across DOCSIS 3.0, 3.1, and emerging DOCSIS 4.0 technologies.Investigate and resolve complex device-side issues involving firmware, networking, provisioning, security, and hardware components.Work closely with chipset vendors (Broadcom, MaxLinear, etc.), CMTS providers, and engineering teams to drive product improvements and issue resolution.Analyze device logs, packet captures, telemetry, and system behavior to identify root causes and optimize performance.Support DOCSIS provisioning, configuration management, certificates, PKI, secure boot, and firmware upgrade mechanisms.Provide technical guidance for customer deployments, escalations, and field issues.What We're Looking For✔ Strong experience with DOCSIS 3.0/3.1 (DOCSIS 4.0 preferred)
✔ Deep understanding of cable modem and broadband gateway hardware and software stacks
✔ Knowledge of DOCSIS provisioning, registration, bonding, security, DHCP, TFTP, DNS, IPv4/IPv6, NAT, and SNMP
✔ Experience working with embedded Linux environments and networking protocols
✔ Familiarity with Broadcom, MaxLinear, or similar DOCSIS chipset platforms
✔ Strong troubleshooting, debugging, and root-cause analysis skills across firmware, networking, and device hardware layers
This is an excellent opportunity for a well-rounded DOCSIS professional who can bridge hardware, firmware, and networking domains while working with cutting-edge broadband technologies.
GCS is acting as an Employment Business in relation to this vacancy.
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About the RoleWe are seeking an experienced Embedded Middleware Engineer to work with our client on next generation... Read more
About the Role
We are seeking an experienced Embedded Middleware Engineer to work with our client on next generation connected devices.
Key Responsibilities
Strong hands on experience in embedded systems development.
Good understanding of middleware frameworks Solid knowledge of C programming in a resource constrained environment. Experience working with System on Chip (SoC) vendor software (e.g. Broadcom, Qualcomm). Understanding of:o IP networking fundamentals
o Wi Fi packet protocols & wireless communication
o HTTP and higher level network protocols
Proven ability to debug low level system issues. Experience with Linux based embedded systems.________________________________________
uts.GCS is acting as an Employment Business in relation to this vacancy.
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Site Reliability Engineer (SRE) - Level 3Job SummaryWe are seeking a Site Reliability Engineer (SRE) to build, maintain,... Read more
We are seeking a Site Reliability Engineer (SRE) to build, maintain, and support reliable, scalable, and secure cloud platforms. The ideal candidate will have experience with cloud infrastructure, Kubernetes, automation, monitoring, and production support while working closely with engineering teams to improve platform reliability and operational excellence.
Key ResponsibilitiesManage and support cloud infrastructure and Kubernetes environments.Automate infrastructure using Infrastructure as Code (IaC).Monitor, troubleshoot, and optimize production systems.Support CI/CD pipelines and deployment automation.Participate in incident response, root cause analysis, and reliability improvements.Collaborate with engineering teams on platform enhancements.Develop automation using scripting and DevOps best practices.Participate in production support and on-call rotations.Required SkillsExperience with AWS, Azure, or GCP.Kubernetes and Docker.Terraform or similar IaC tools.Monitoring tools such as Prometheus, Grafana, CloudWatch, or Datadog.CI/CD pipelines and Git.Bash or Python scripting.Qualifications4+ years of experience in SRE, DevOps, Cloud, or Platform Engineering.Strong troubleshooting, automation, and production support skills.Experience with cloud-native technologies and distributed systems.GCS is acting as an Employment Business in relation to this vacancy.
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Site Reliability Engineer III (AI Platform)Location: Mount Laurel, NJ (Onsite)Duration: ContractExperience: 4+ yearsAbout the RoleWe are seeking a... Read more
Location: Mount Laurel, NJ (Onsite)
Duration: Contract
Experience: 4+ years
We are seeking a Site Reliability Engineer (SRE) III to support a cutting-edge AI Platform Engineering team responsible for building and maintaining the infrastructure behind enterprise AI and machine learning applications. This is an exciting opportunity to work on large-scale distributed systems, Kubernetes environments, and cloud-native platforms that power next-generation AI solutions.
The ideal candidate has a strong background in cloud infrastructure, Kubernetes, Infrastructure as Code, observability, and automation. Experience supporting production environments at scale is essential.
ResponsibilitiesDesign, implement, and support highly available, scalable, and secure cloud infrastructure.
Maintain and improve Kubernetes-based production environments.
Deploy and support AI/ML applications across cloud platforms.
Automate infrastructure provisioning and operational processes using Terraform and scripting.
Build and maintain CI/CD pipelines using GitHub Actions.
Monitor system health and performance using Prometheus, Grafana, Datadog, CloudWatch, Elasticsearch, and logging tools.
Troubleshoot production issues across distributed systems, cloud infrastructure, networking, and containerized applications.
Partner with development teams to improve application reliability, scalability, and performance.
Participate in incident response, root cause analysis, and continuous service improvements.
Support large-scale Kubernetes clusters and cloud-native workloads.
Required QualificationsBachelor's degree in Computer Science or a related technical field (or equivalent experience).
4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure.
Strong understanding of distributed systems, software design, algorithms, and system performance.
Experience programming or scripting with one or more of the following:
Python
Bash
Go
Java
C/C++
Strong troubleshooting and problem-solving skills.
Excellent communication and collaboration abilities.
Required Technical SkillsCloud PlatformsAWS (required)
Azure or GCP
Containers & OrchestrationKubernetes (required)
Docker
Amazon EKS
Google GKE/GKS
Infrastructure as CodeTerraform (required)
CI/CDGitHub Actions
CI/CD pipeline automation
Monitoring & ObservabilityPrometheus (required)
Grafana
Datadog
CloudWatch
Elasticsearch
Centralized logging solutions
Additional TechnologiesMySQL
Kafka
Preferred QualificationsExperience supporting AI/ML platforms or machine learning infrastructure.
Experience with GPU-based workloads.
Knowledge of AI model deployment or MLOps.
Experience automating operational processes.
Familiarity with enterprise-scale Kubernetes environments.
Nice to HavePython or Go development experience.
Experience with ETL workflows.
Exposure to AI/ML technologies, LLMs, or agentic AI platforms.
KeywordsSite Reliability Engineer | SRE | DevOps | Platform Engineer | Kubernetes | AWS | Terraform | Docker | EKS | GKE | GitHub Actions | Prometheus | Grafana | Datadog | CloudWatch | Elasticsearch | Kafka | Python | Bash | Go | Infrastructure as Code | Observability | AI Platform | Machine Learning | Cloud Infrastructure | Distributed Systems
GCS is acting as an Employment Business in relation to this vacancy.
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