Client Implementation Engineer

About the opportunity

SUMMARY Client Implementation Engineer to support the technical implementation, deployment, and ongoing evolution of our Analytics product. As a Client Implementation Engineer, you will be designing, delivering, and supporting innovative solutions for clients in the electronic trading sector, built on the company analytics suite of products and deployed on Linux platforms. The role ranges from requirements gathering and analysis through to conducting client trials and full deployment, configuration and integration of the solution. In addition to client projects, the engineer will collaborate closely with software engineers to shape new product capabilities and adapt the platform for new customer use cases. The successful candidate will balance problem solving and customer-facing skills with the ability to contribute to product development and deployment, through targeted technical and process development. Knowledge of network analysis and financial market protocols is useful, but not essential. As the product evolves, the role offers opportunities to deepen expertise in several directions, including product development, client solution design, and technical support. JOB RESPONSIBILITIES · Technical Implementation & Delivery o Design, implement, and deploy infrastructure and platform components to support client environments o Work on complex, high-volume, real-time systems and application integration projects for clients across financial services o Deliver reliable, maintainable projects to new and existing clients using the company analytics products and toolset o Play an active part in the design of novel solutions to meet emerging business requirements · Engineering & Platform Development o Develop scripts and automation workflows, primarily using Python o Collaborate with engineering teams to enhance deployment pipelines and operational tooling o Support transition away from legacy Java components as the platform evolves o Coordinate with the software development team for bug fixes and enhancement requests · Client-Facing Engineering Support o Work directly with clients to support technical onboarding, implementation activities, and issue resolution o Provide product training to end users o Translate between client needs and internal development teams during delivery and support cycles · Data & Observability o Work with relational and time-series data systems (e.g. QuestDB, InfluxDB) to explore operational data and support reporting or dashboard use cases o Build and support dashboards and visualizations using Grafana (heavily used in the role and by our customers) o Our analytics are based on capturing data from the network. Familiarity with network diagnostics, packet capture, or financial market protocols is beneficial but not required. o Work with internal ML engineering teams to deploy and operate machine learning analytics components, helping ensure models run reliably in client environments and integrate with existing data pipelines and dashboards. QUALIFICATIONS · 5+ years of strong Software Delivery or Integration Engineering experience · Technical problem-solving mind-set: The role suits engineers who are curious about how complex systems behave in real environments, and who enjoy exploring operational data and metrics to help diagnose and resolve issues. · Organized independent thinker who will pro-actively seek help to maximize efficiency · Development background · Linux, bash and scripting experience · Familiarity with network technologies, TCP · Quality focused individual, eager to contribute to a team-oriented environment · Strong interpersonal and communication skills – verbal and written. You will work with experienced engineers to investigate issues and help translate technical findings into clear explanations for clients. · Nice to have o Python experience, coding or deployment o Familiarity with network tap/span/aggregation, wireshark/tcpdump/BPF o Integration experience kafka/sso/REST o Grafana/data visualization o Database experience o Wire protocols experience JOB REQUIREMENTS · Should be willing to accept a long-term work-from-home arrangement. · Should be amenable to a permanent mid-shift schedule.

Responsibilities

• · Technical Implementation & Delivery o Design, implement, and deploy infrastructure and platform components to support client environments o Work on complex, high-volume, real-time systems and application integration projects for clients across financial services o Deliver reliable, maintainable projects to new and existing clients using the company analytics products and toolset o Play an active part in the design of novel solutions to meet emerging business

Qualifications

• gathering and analysis through to conducting client trials and full deployment, configuration and integration of the solution.
• In addition to client projects, the engineer will collaborate closely with software engineers to shape new product capabilities and adapt the platform for new customer use cases.
• The successful candidate will balance problem solving and customer-facing skills with the ability to contribute to product development and deployment, through targeted technical and process development.
• Knowledge of network analysis and financial market protocols is useful, but not essential.
• As the product evolves, the role offers opportunities to deepen expertise in several directions, including product development, client solution design, and technical support.
• · Engineering & Platform Development o Develop scripts and automation workflows, primarily using Python o Collaborate with engineering teams to enhance deployment pipelines and operational tooling o Support transition away from legacy Java components as the platform evolves o Coordinate with the software development team for bug fixes and enhancement requests · Client-Facing Engineering Support o Work directly with clients to support technical onboarding, implementation activities, and issue resolution o Provide product training to end users o Translate between client needs and internal development teams during delivery and support cycles · Data & Observability o Work with relational and time-series data systems (e.
• QuestDB, InfluxDB) to explore operational data and support reporting or dashboard use cases o Build and support dashboards and visualizations using Grafana (heavily used in the role and by our customers) o Our analytics are based on capturing data from the network.