Backend Engineer

Description:

We are seeking a Backend Engineer to architect, build, and lead the backend systems that power scalable, multi‑cloud AdTech and MarTech platforms, analytics execution, and AI‑driven workflows.

This role carries end‑to‑end technical ownership for backend architecture and execution layers—designing the services, APIs, and protocols that connect data, analytics, activation, and operational systems. The ideal candidate combines deep distributed systems expertise, strong platform engineering judgment, and the ability to lead complex technical initiatives across teams and domains.

Why This Role Matters

This role sits at the core of the organization’s technology and intelligence platforms. The Manager of Backend Engineering will define how data, analytics, AI, and activation systems connect, scale, and operate, enabling faster innovation, safer automation, and durable competitive advantage.

Responsibilities

Role Objectives:

Platform & System Architecture

Architect and own scalable, multi cloud backend platforms that integrate AdTech and MarTech systems across planning, activation, measurement, and optimization
Define system level architecture patterns for distributed services, event driven workflows, and execution layers
Design backend systems that support high throughput, low latency, and fault tolerant operations at enterprise scale
Establish architectural standards for interoperability, extensibility, and long term platform evolution

Backend Services & Execution Layers

Design and lead development of backend services that support execution, orchestration, scheduling, monitoring, and operational control
Build and manage services that bridge analytics, ML models, agent workflows, and activation systems
Own service lifecycle management including versioning, backward compatibility, and deprecation strategies
Ensure backend systems are secure, observable, and production ready

API & Integration Strategy

Define and own API strategy across internal and external systems, including REST and event based interfaces
Design integration patterns for connecting internal platforms with commercial AdTech and MarTech ecosystems
Establish clear contracts, schemas, and governance for cross system communication
Lead development of shared backend tooling that accelerates partner and platform integrations

AI Agent & Protocol Enablement

Design and lead development of a flexible backend stack to support AI agents and intelligent workflows
Define tools, APIs, and protocols that enable agents to interact with data, models, and execution services
Partner with data science and product teams to productionize agent driven workflows safely and at scale
Ensure agent systems operate within clear guardrails for security, auditability, and control

Technical Leadership & Ownership

Act as the senior technical authority for backend and platform engineering decisions
Lead and mentor senior engineers and architects across backend and platform teams
Collaborate closely with product, data engineering, analytics, and infrastructure leaders
Drive technical roadmap planning and prioritize platform investments aligned to business goals

Qualifications

Required Skills & Technical Qualifications

Backend & Platform Engineering

Extensive experience designing and operating large scale backend systems and distributed architectures
Strong expertise in API driven system design, service orchestration, and execution platforms
Deep understanding of microservices, event driven architectures, and asynchronous processing
Experience operating backend systems in multi cloud environments (AWS, Azure, GCP)

Programming & Frameworks

Advanced proficiency in backend languages such as Python, Java, Scala, or similar
Experience building production grade services using modern backend frameworks
Strong understanding of concurrency, performance optimization, and system reliability

AdTech / MarTech & Integration Experience

Proven experience integrating AdTech and/or MarTech systems, platforms, or APIs
Familiarity with activation, measurement, identity, and optimization workflows
Experience designing backend systems that connect analytics and decisioning to execution environments

AI, Analytics & Agent Enablement

Experience supporting ML, analytics, or AI driven platforms at the backend level
Familiarity with agent based systems, orchestration frameworks, or model execution pipelines
Ability to design backend systems that safely operationalize AI and automated decisioning

Operational Excellence & Governance

Strong experience with observability, monitoring, logging, and incident management
Experience implementing security, access control, and data governance in backend systems
Ability to balance speed, reliability, and long term maintainability in platform design

Leadership & Collaboration

Demonstrated success operating at a Manager level of technical ownership
Ability to lead complex, cross team engineering initiatives
Strong communication skills with both technical and executive collaborators