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Senior Platform Engineer

Location: Cork, Ireland (on-site)
Type: Full-time, Permanent

About the company
A fast-growing, IDA-backed industrial technology company building out its engineering presence in Cork. The business operates at the forefront of emerging technology, building an Agentic AI Platform that enables multiple product teams to deliver AI-powered capabilities consistently, safely, and at scale.

About the role
We're looking for an experienced Platform Engineer to help own and evolve our internal AI platform over the long term. This role is distinct from a product feature developer - you'll work on the platform itself: its core services, frameworks, tooling, and developer experience, acting as a technical partner to teams onboarding or adopting the platform.

Responsibilities

Design, build, and evolve core platform services, frameworks, and APIsOwn the long-term technical direction of the platform, balancing delivery with extensibility and reliabilityDefine and maintain opinionated architectural patterns, reference implementations, and golden paths for teams building on the platformManage the full AI lifecycle from PoC to production - prompt engineering, context management, tool-calling optimisation, CI/CDImprove the end-to-end developer experience for product teams using the platformBuild and maintain tooling, templates, libraries, and automation to reduce onboarding timeAct as an internal technical consultant to teams adopting the platform, gathering feedback and translating it into improvementsBuild platform-level support for Generative AI and Agentic AI, enabling safe, reusable integration patternsArchitect and implement solutions using Python (FastAPI, Flask, OOP, typing, async programming, Pydantic)Deploy and operate containerised, cloud-native solutionsImplement and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, ArgoCD)Conduct code reviews, mentor engineers, and influence engineering standards across teams

Requirements

Bachelor's degree in computer science, engineering, or related field5+ years' professional software engineering experienceStrong Python expertise (OOP, typing, async, Pydantic)Proven experience building REST APIs using FastAPI or FlaskHands-on experience with CI/CD, DevOps practices, and Git branching strategiesExperience with cloud platforms (Azure preferred; AWS or GCP acceptable)Working knowledge of Docker, Kubernetes, SQL/NoSQL, and microservicesStrong testing discipline (PyTest, automated test strategies)Excellent communication skills and the ability to influence across teamsStrong understanding of Agile delivery frameworks

Nice to have

Prior experience building or maintaining internal platforms, frameworks, or shared developer toolingExperience acting as a technical enablement or evangelism lead in a multi-team environmentFamiliarity with Spec Driven Development approaches (OpenSpec, SpecKit, Claude Code)Familiarity with Generative AI, Agentic AI, and LLM frameworks (LangChain, Hugging Face, OpenAI APIs)Understanding of deep learning concepts (transformers, attention, neural networks)Experience with Azure services (Cosmos DB, networking, serverless compute)Knowledge of DevSecOps and secure code-to-cloud practices

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

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Senior Python Engineer (AI Platforms & Distributed Systems)

Location: Chicago
Work Arrangement: Hybrid
Employment Type: Contract

Overview

We are seeking a highly specialized Senior Python Engineer to design and build scalable backend platforms, automation frameworks, and distributed systems within a cloud-native environment. This role requires deep expertise in Python development, microservices architecture, API engineering, and high-performance data processing.

The ideal candidate will have strong experience developing enterprise-grade applications, building scalable services, and working across modern DevOps and cloud ecosystems.

Key ResponsibilitiesDesign and develop scalable backend applications and distributed systems using PythonBuild high-performance RESTful and asynchronous APIsDevelop microservices and event-driven architecturesOptimize application performance, concurrency, and scalabilityCollaborate with platform engineering, DevOps, and cloud teamsBuild automation frameworks and orchestration toolingImplement monitoring, logging, and observability standardsContribute to CI/CD pipeline automation and infrastructure improvementsParticipate in architecture reviews and technical strategy discussionsTroubleshoot complex production issues and perform root cause analysisRequired Technical Skills7+ years of software engineering experience5+ years of advanced Python development experienceStrong expertise in:FastAPIFlask or DjangoAsyncIOMicroservices architectureREST and GraphQL APIsExperience building scalable distributed systemsStrong understanding of multithreading, concurrency, and asynchronous programmingHands-on experience with:DockerKubernetesKafka or RabbitMQRedisExperience with cloud-native environments:AWSAzureGCPStrong database experience:PostgreSQLMongoDBCassandraExperience implementing CI/CD pipelines using Jenkins, GitHub Actions, or GitLabFamiliarity withobservability tools:PrometheusGrafanaELKOpenTelemetryStrong Linux systems and scripting knowledgePreferred QualificationsExperience supporting AI/ML or data-intensive platformsKnowledge of infrastructure-as-code tools such as TerraformExposure to serverless architectures and event-driven workflowsExperience supporting enterprise-scale applications with high availability requirementsBackground in telecom, media, or large-scale enterprise environmentsNice to HaveExperience with Celery or distributed task processing frameworksExposure to MLOps tooling and model deployment pipelinesFamiliarity with security best practices and API authentication standards

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

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Senior Software Engineer / Data Platform Engineer (Databricks, Graph, APIs)

Location: Philadelphia, PA

The team sits within the network technology organisation and is responsible for building advanced data platforms that support digital twin capabilities across the access network. The group combines network design data, telemetry, mapping technologies, and graph intelligence to improve troubleshooting, planning, operational efficiency, and market competitiveness.

The team works on highly scalable engineering products including large data pipelines, graph databases, APIs, and mapping platforms. Their work enables smarter network decisions, faster fault resolution, and better use of operational resources.

This is a technically strong team focused on solving complex real-world problems using modern engineering and data technologies.

Responsibilities

Design, build, and maintain scalable ETL / ELT pipelines processing large enterprise datasets.Develop robust data products within Databricks and Spark environments.Build configurable ingestion frameworks and multi-environment deployment pipelines.Engineer APIs that expose network intelligence products to internal users and systems.Work with graph databases such as Neo4j to model relationships across network assets, devices, and telemetry.Improve data quality, exception handling, and pipeline resilience across multiple data sources.Write production-grade software with strong engineering standards, testing, and automation.Collaborate with technical teams to translate complex operational problems into scalable engineering solutions.Help evolve digital twin and next-generation network intelligence platforms.

Skills & Experience

Required

Strong software engineering background (Python)Neo4j graph database experienceExperience building production systems and scalable backend applications.ETL / ELT pipeline engineering experience.Experience with Spark, Databricks, or similar distributed data platforms.API development experience (REST / backend services).Strong problem-solving skills and ability to work with complex data.Experience with Airflow, AWS EMR, or similar orchestration/data tools.Telecom, infrastructure, or network data experience.CI/CD and DevOps engineering practices.Experience handling large, imperfect enterprise datasets.

Ideal Candidate

A strong software engineer with an interest in data engineering, or a data engineer with excellent coding discipline. Candidates with transferable adjacent skills are highly valued over exact tool matching alone.

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

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I am looking for a Senior Data Platform with experience in Azure and Databricks for a client of mine based in Amsterdam.

6 months contract with the option to extend.

Netherlands based candidates only and this is a freelance/zzp role.

For further information please apply or reach out to me on [email protected]

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

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