Harvey Nash★3.8 (49)· London

You will work with CyberArk, PowerShell, Python, BASH, REST API, PAS, IAM, and PAM on cloud automation. As a CyberArk Implementation Engineer at a global bank, you will drive migration and implementation of privileged access management solutions.

The Logging & Inventory Cloud Engineer will work with AWS, GCP, Terraform, Python, Shell scripting, and Kubernetes. They will design and implement logging, monitoring, and inventory management solutions, develop automation, and support cloud engineering.

The CyberArk Engineer will work with CyberArk Vault (on-prem/SaaS), PVWA, CPM, PSM, PSMP, PTA, CCP/AAM/AIM, Conjur/Secret Manager, plus Active Directory, Windows Server, Linux RHEL, Azure/AWS/GCP, Entra ID, and automate with PowerShell, REST API, Python, Bash. They will lead a Privileged Access Management transformation for an investment bank, handling SaaS migration, metadata clean-up, credential onboarding/rotation, upgrades, and policy design under NIST/Zero Trust.

You’ll build and maintain scalable data pipelines and implement observability, monitoring, and data quality checks using Python, SQL, shell scripting, containerization, and IaC tools (with Scala/Java preferred). You’ll support AI/ML-driven financial technology platforms at a global fintech company, collaborating with product engineering, data science, and business teams.

You will work with Databricks, Azure SQL, Azure Data Factory, Python or PySpark, and advanced SQL to build and maintain ETL/ELT pipelines. The role supports a large-scale data platform migration project moving workloads from Azure SQL to Databricks as part of an established data team.

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), FDC3, REST/WebSocket APIs, OpenFin, Chromium, Electron, Kafka, Solace, Tibco, Jenkins, and AI-assisted development tools. The team delivers pricing solutions for the Foreign Exchange (FX) business, building high-quality trading GUIs for internal and external traders. As a Vice President, you provide technical leadership and mentor junior engineers on a globally distributed team.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript. The team delivers large-scale software for a global financial services firm, actively using AI tools like GitHub Copilot and Claude.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript, with AI tools like GitHub Copilot or Claude. The team delivers large-scale enterprise software for a global financial services organization.

You will work hands-on with Azure, Databricks, and SQL, building scalable ELT pipelines and Lakehouse architectures. You will operate as a senior individual contributor on a major enterprise data platform transformation for a global mining company.

You'll work with Python, SQL, Azure or AWS, Databricks/Snowflake/Redshift, Airflow/Azure Data Factory/Prefect, and dbt/Kafka/Terraform. The role builds and optimises cloud-based data infrastructure supporting analytics, reporting, and future AI initiatives for a fast-growing technology company.

Python, SQL, Apache Spark, Airflow, Azure Data Factory, Docker, and Kubernetes. You will design, build, and maintain data-driven applications, integrating with data lakes, lakehouse architectures, and enterprise databases for large-scale analytics systems.

You'll work with Google SecOps (Chronicle), JAMF MDM, Google Workspace, Okta, GCP Security Command Center, Python, and Bash to build detection and incident response capabilities. This role supports ElevenLabs, an AI research and product company focused on voice, agents, creative tools, and APIs.

Manage Okta, Google Workspace, Jamf/Kandji/Fleet, Python/Bash, Cisco Meraki/Ubiquiti, and Terraform for endpoint, network, and SaaS security. You lead the IT Engineering team, balancing hands-on work with mentoring and hiring at an AI voice research company.

You'll work with Python, SQL, ETL/ELT, FastAPI, and AI/LLMs to build a mission‑critical Data Migration Platform that connects to legacy CRMs and onboard financial agencies at scale.

Senior Java Developer using Java, Spring, and AWS. You will design, build, and maintain features on a live SaaS platform for a HealthTech company that delivers patient care and rehabilitation software.

Write Python and FastAPI to build a real-time intelligence platform for private markets, used by venture capital and private equity firms to analyze live data and make faster investment decisions.

Senior back-end Java developers will deliver scalable, enterprise-grade applications using Java in a complex technology environment for a global investment bank’s Risk function.

Developers use C#/.NET, Java, or Python, along with SQL databases and cloud platforms like Azure or AWS. The role involves problem-solving and communicating with technical and non-technical audiences, with no specific project or team scope detailed.

Barclays★3.9 (6.9k)· London

Build and run cloud services using Terraform or CloudFormation, GitLab, Python, and AWS/Azure/GCP, with Kubernetes orchestration. You will create a new digital platform capability transforming Barclays’ digital estate, focusing on customer identity and access management (CIAM).

Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

Works with Kubernetes, Terraform, AWS/GCP/Azure, and systems languages (Rust, Go, Python) to build agent-driven automation for compute cluster lifecycle management. This team owns provisioning, updates, and decommissioning of clusters across major cloud providers and internal datacenters, ensuring high-bandwidth, secure-by-default infrastructure.

Low Carbon Contracts Company★4.4 (7)· London

The role uses Python (preferably PySpark), SQL, Azure (Data Factory, Synapse, Databricks, ADLS), and other cloud platforms. The team develops and maintains LCCC’s data warehouse, data pipelines, and governance artefacts to ensure reliable, integrated data for reporting.

Build production-grade agentic AI systems using Python, modern LLM frameworks, orchestration tools, RAG pipelines, and evaluation/observability tools. The team solves critical real-world problems for manufacturing, utilities, aviation, and field operations. A small, high-calibre engineering team with genuine ownership.

You will work with Java, Spring Boot, Hibernate, REST APIs, microservices, Spring MVC, Spring Data JPA, Spring Security, and SQL databases (MySQL/PostgreSQL). You will design, develop, and maintain scalable Java-based applications and microservices for enterprise clients as part of a UK-based IT consultancy serving Fortune 500 and FTSE 100 companies.

Lead a ~132-person engineering org (5 direct reports) building financial services for Africa on Python/GraphQL, Postgres/Redis, Kotlin, Swift, TypeScript/React, GCP, Kubernetes, and Terraform—including AI-powered voice and digital agents handling 10M+ monthly interactions.