Design, build, and maintain backend services using Ruby on Rails, develop APIs for mobile apps, web platforms, and data ingestion systems, and improve system performance, scalability, and reliability.
Compensation
Competitive salary and performance-based growth.
Responsibilities
Design, build, and maintain backend services using Ruby on Rails
Develop APIs for mobile apps, web platforms, and data ingestion systems
Write clean, maintainable, and well-tested code
Improve system performance, scalability, and reliability
Collaborate with Product, Frontend, Data Engineering, and QA teams
Requirements
Bachelor’s degree in computer science, Information Systems, or a related field
Own the backlog for one or two AI or data use cases, run use‑case intake, act as daily interface between business sponsor and engineering and data teams, prepare governance submissions, define and track adoption and value KPIs, support vendor and platform evaluations.
Responsibilities
Own the backlog for one or two AI or data use cases
Run use‑case intake
Act as the daily interface between the business sponsor and the engineering and data teams
Lead the design, build, and delivery of Salesforce Marketing Cloud solutions, architecting and building high-quality marketing automation solutions while supporting the wider Salesforce delivery capability.
Responsibilities
Lead the technical architecture and solution design for Salesforce Marketing Cloud engagements
Build and configure Marketing Cloud solutions, including journeys, automations, data extensions, and integrations
Write and maintain AMPscript, SQL, and SSJS for personalisation, segmentation, and automation
Design and implement integrations between Marketing Cloud, Salesforce CRM, and other client systems via APIs
Act as the primary technical point of contact for clients on Marketing Cloud engagements
Forward Deployed Engineer to bring AI into real business operations for the IFS M&A Group, building and running applications, integrating AI platforms with enterprise systems, and delivering production AI solutions.
Compensation
Salary Range: $130,000 to $160,000 annually + bonus
Responsibilities
Deliver assigned AI projects and workstreams from discovery through design, build, deployment, verification, training and support
Support discovery with business and technical stakeholders to understand workflows, systems and desired outcomes
Analyse non-routine requirements, recommend practical solution designs and implement them as tested code
Prototype quickly to validate a use case
Build integrations that connect AI platforms to existing applications, APIs and data sources
Focused on a Pre-Collision Assist / Automatic Emergency Braking feature developer to ensure core feature models are developed, integrated into a central ADAS ECU, meet systems engineering, and meet the expected acceptance criteria through proper test methods.
Compensation
This position is a range of salary grades 6-7 and ranges from $85,400 - $134,000.
Responsibilities
Lead overall feature model integration with other feature models according to the ADAS ECU software schedule.
Support model peer reviews of existing, modified and future feature model.
Support resolution of model integration compatibility issues with the larger feature model team or with the coding team.
Interface with the module teams that make up the overall distributed feature (ABS, PCM, IPC, AHU, etc.) to ensure system level function and requirements are met.
Lead/Support development of test methods to evaluate true positive, false positive and real-world performance criteria.
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