ROLE OVERVIEW
As a Backend Engineer on the AI Ops platform, you will design and build the server-side systems that underpin all 14 platform modules - from real-time incident ingestion and AI model inference endpoints, to FinOps data aggregation pipelines and multi-tenant SLA management APIs.
You will work closely with the Engineering Lead and AI/ML Engineer to create the data and API backbone that powers every frontend view. Two positions are available, with engineers aligned to different capability layers during parallel build sprints.
KEY RESPONSIBILITIES
Design and build RESTful APIs for all platform modules following OpenAPI specifications agreed with the Engineering Lead
Implement multi-tenant data isolation architecture ensuring strict client data separation
Build real-time event ingestion pipelines capable of processing 2.4M+ events per day
Develop integrations with observability stack (Prometheus, Grafana) for Digital Twin data feeds
Build backend services for the Incident Control module: AI root cause enrichment, resolution workflow, and escalation routing
Implement the Predictive Models API layer: model registry, accuracy score feeds, and inference request handling
Develop FinOps data aggregation services: cloud spend normalisation, baseline comparison, and trend calculation
Build SLA tracking services: attainment calculation, breach detection, and at-risk client alerting
Implement authentication, RBAC, and SSO/SAML integration for the Tenants and Integrations modules
Write comprehensive unit, integration, and contract tests with high coverage targets
Participate in architecture reviews, API contract design sessions, and code reviews
EXPECTATIONS
Deliver APIs that meet sub-100ms response time targets on primary dashboard data endpoints
Maintain 99.9% API availability across all platform services
Ensure all data endpoints support real-time WebSocket or SSE streaming for live dashboard updates
Write clear OpenAPI documentation for every endpoint before frontend integration begins
Follow security-first engineering practices - no sensitive data exposure, all inputs validated
Produce services that are observable by default: structured logging, distributed tracing, health checks
SKILLS & COMPETENCIES
Technical Skills
Strong proficiency in Node.js (TypeScript) and/or Python for microservice development
RESTful API design and OpenAPI 3.0 specification authorship
Deep knowledge of PostgreSQL: schema design, query optimisation, indexing, and migrations
Time-series database experience: InfluxDB, TimescaleDB, or Prometheus remote write patterns
Event streaming: Kafka, RabbitMQ, or AWS SQS/SNS for high-throughput event pipelines
Kubernetes deployment: writing manifests, Helm charts, and understanding pod lifecycle
Authentication patterns: JWT, OAuth 2.0, OIDC, SAML, and RBAC implementation
Caching strategies using Redis for hot data paths and session management
Testing: Jest/Vitest, Pact for contract testing, and k6 or Artillery for load testing
Observability instrumentation: OpenTelemetry SDK integration and structured log output
Functional & Soft Skills
Strong API design instincts - thinks about contracts, versioning, and consumer experience first
Clear technical communication for API documentation and cross-team collaboration
Systematic debugging and root cause analysis mindset
Collaborative engagement with frontend engineers on data shape and integration design
Reliable delivery with proactive escalation of complexity or scope risks
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.