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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.
· 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.
· 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
· Should be
willing to accept a long-term work-from-home arrangement.
· Should be
amenable to a permanent mid-shift schedule.
After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.
Marcus Rivera
Chief Revenue Officer
RunRemote
Sporticulture™
KMC Solutions
Creative Analytics
Meal Ticket
Scalable OS
Scalable OS
Scalable OS
