Senior Backend Engineer building scalable backend services, data pipelines, and integrations for Apollo.io’s AI - driven go - to - market platform. Owning distributed architecture and high - throughput connections across a global engineering team.
About the role
- Senior Software Engineer building Kotlin-based distributed services for Trulioo’s global digital identity verification platform. Designing Kafka pipelines, APIs, workflows, and AI-enabled verification systems.
Responsibilities
- Lead the architecture and development of high-throughput, low-latency back-end services for Trulioo’s Document and Biometric Verification platform
- Design and operate distributed, event-driven microservices for real-time identity verification
- Ingest captured documents and biometric data
- Coordinate ML inference and third-party vendor calls
- Return verification decisions at scale across multiple global regions
- Bridge developer-facing APIs, asynchronous processing pipelines, and ML and infrastructure systems
- Design, build, and maintain secure, modular, horizontally scalable microservices
- Own gRPC/Protobuf contracts and REST/OpenAPI external client interfaces, including versioning and backward compatibility
- Build Apache Kafka streaming pipelines with topics, consumers, and stream-processing topologies
- Model and optimize data access across distributed NoSQL databases, search/indexing systems, and caching layers
- Implement durable, multi-step verification workflows using a workflow engine
- Drive sub-second end-to-end verification latency and predictable throughput
- Tune coroutine concurrency, backpressure, and event-driven autoscaling
- Drive technical architecture and mentor engineers
- Collaborate with Machine Learning, Infrastructure, and Product teams
- Deploy computer vision models and vendor integrations into production
- Use AI coding assistants and internal tooling to accelerate design, implementation, testing, and code review
- Apply AI/ML-driven analysis for anomaly detection, log and metrics insight, capacity forecasting, pipeline performance, throughput, and decision logic optimization
Requirements
- 8+ years of back-end/server software engineering experience delivering production-grade distributed services or platforms
- Deep proficiency with Kotlin, or strong Java experience transitioning to Kotlin
- Modern JVM concurrency, including Kotlin Coroutines and structured concurrency
- Hands-on experience with service-oriented or microservice architectures
- Experience with gRPC/Protobuf and/or REST, including API design, versioning, and inter-service communication patterns
- Experience with event streaming and asynchronous messaging; Apache Kafka strongly preferred
- Experience with consumer scaling, exactly-once/idempotent processing, and failure handling
- Practical experience with distributed NoSQL databases, search/indexing systems, and caching strategies at scale
- Experience operating services in a public cloud environment on Kubernetes
- Familiarity with containerization, service meshes, and infrastructure-as-code
- Expertise managing memory, thread/coroutine concurrency, connection pooling, and payload optimization
- Daily hands-on use of AI coding assistants such as GitHub Copilot, Claude Code, or Cursor
- Ability to critically assess AI-generated code and outputs for correctness, security, and performance
- Working understanding of LLM and ML production behavior, including latency, cost, and failure modes
Benefits
- Health, dental, and vision coverage
- Retirement plans with company match
- Paid time off
- Parental leave
- Annual education & training stipend equivalent to $1,000 in local currency
- Flexible hybrid working environment
- Weekly lunches
- Quality coffee
- Regular social events
- Parent rooms at many locations
- On-site gyms at many locations
- Comfortable lounges
- Adaptable workstations
- Wellness workshops and events
- Complimentary Headspace subscription
- Employee Resource Groups and inclusive community programs
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