Application Support Engineer
London, England, United Kingdom
Full Time GBP 112K - 125K
Talan
Nous croyons que seule une pratique humaniste de la technologie fera du nouvel âge numérique une ère de progrès pour tous. Engageons-nous ensembleCompany Description
For more than 20 years, Talan has been advising companies and administrations, supporting them and implementing their transformation projects in the UK and abroad. With a presence on four continents and a headcount of 5000 consultants, our ambition is to reach the billion turnover by the end of 2025.
In the UK, Talan count 500 employees on several site, the main being: London, Edinburgh and Chester, Leeds.
This role is a 6 month contract with the possibility of extending. The day rate will be between £450-£500 per day Inside IR35 (Depending on experience). This role is based in London, with the expectation of going into the office several times a week at least.
Job Description
Team Overview – ENET Engineering
Join a specialised team that supports the infrastructure for the bank’s electronic trading environment (ENET). The focus is on ensuring optimal performance, integration, and monitoring of cutting-edge electronic trading systems.
This role sits within the IT Production (ITS) department, responsible for core IT services across the UK branch, including platforms, networks, databases, and voice systems. The ENET team plays a vital role in maintaining the infrastructure for high-performance trading applications, working closely with application development, infrastructure teams, and business stakeholders.
Qualifications
Key Responsibilities
As an ITS Application Services (ENET) Engineer, you will:
Provide technical ownership and support for the infrastructure powering electronic trading systems.
Architect, deploy, and manage high-performance observability solutions using the Elastic Stack (ELK).
Optimize Elasticsearch index lifecycle, shard configurations, and cluster performance.
Develop and maintain data pipelines using Logstash, Beats, and custom ingestion strategies.
Integrate ELK with network telemetry and packet capture tools to enhance system observability.
Collaborate with global infrastructure, development, and support teams to deliver solutions.
Manage market connectivity and enforce messaging and monitoring standards within ENET.
Leverage monitoring platforms such as ITRS Geneos and Corvil.
Script automation solutions using Python, Shell, and PowerShell.
Support and configure Solace messaging infrastructure and other low-latency platforms.
Contribute to DevOps efforts with CI/CD, containerization, and infrastructure-as-code.
Collaborate with data science teams to deploy and support ML models and ETL pipelines.
Maintain documentation, promote knowledge sharing, and drive continuous improvements.
Skills & Experience Required
Elastic Stack (Elasticsearch, Logstash, Kibana, Beats): Advanced-level knowledge.
Strong experience with data ingestion, index management, and real-time observability.
Experience with Solace, 29West, Tibco, or similar messaging platforms is a plus.
Working knowledge of trading protocols (e.g., FIX, market data, order entry) and low-latency systems.
Hands-on experience with networking concepts, Linux, and distributed systems.
Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes).
Proven scripting ability using Python, Shell, PowerShell, and SQL.
Prior exposure to monitoring tools such as Corvil and ITRS Geneos.
Knowledge of RBAC, TLS, API integration, and Elasticsearch security best practices.
Experience in data science model integration and data pipeline engineering is a strong advantage.
Additional Information
Why Join?
Work at the cutting edge of electronic trading infrastructure.
Collaborate with top-tier engineers and financial professionals.
Be part of an inclusive, forward-thinking, and dynamic team.
Opportunities for global collaboration and long-term career growth.
Tags: APIs CI/CD Data pipelines DevOps Distributed Systems Docker Elasticsearch ELK Engineering ETL Jenkins Kibana Kubernetes Linux Logstash Machine Learning ML models Pipelines Python Security SQL
Perks/benefits: Career development Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.