Backend Developer Consultant (GraphQL & Kafka)

PLEASE NOTE: At this time, we are only considering candidates located in and authorized to work in the United States.

JOIN OUR TEAM!

Bitovi is looking for a Backend Developer Consultant to join us as we transform technology delivery. We build and operate distributed backend systems for enterprise clients: Go and TypeScript services, GraphQL APIs, and Kafka-based event streaming, running on AWS. If you want to build exceptional systems, take API design and data flow seriously, and have ideas for making delivery more collaborative, validation-driven, and swift, we want to work with you!

WHO YOU ARE

You’re experienced building and running applications at the enterprise level, and you’re comfortable owning both the code and how it behaves in production. You think about the whole system, from service internals and API contracts to the event streams and data stores behind them. You thrive when given opportunities to deliver real-world platforms as an integral team member, and you have the expertise to interface and communicate confidently with stakeholders.

You’ll excel in this role at Bitovi if you have:

• Strong working knowledge of Go, including concurrency patterns, and practical experience with TypeScript/Node on the server. Experience with additional backend languages (Java, Python, C#, etc.) is a plus
• Experience designing and building GraphQL APIs: schema design, resolvers, and performance concerns (N+1, dataloaders, caching, pagination). Federation experience a plus
• Experience designing and operating Kafka-based event streaming systems: topic and partition design, consumer groups, schema management, and reasoning about ordering, delivery guarantees, and consumer lag
• Database schema design and development expertise, including query performance and evolving schemas safely
• Hands-on AWS experience: architecting, deploying, and operating production systems (networking, IAM, messaging, and data services)
• A systems engineering mindset: understanding of complex scaling issues, concurrency, backpressure, caching strategies, and failure modes across distributed systems
• Experience planning and executing migrations: application replatforming, data and schema migrations, or moving workloads between environments with minimal downtime
• A thorough understanding of CI/CD pipelines and modern delivery practices
• Experience with observability in practice: logging, metrics, and tracing (OpenTelemetry a plus)
• Experience building modern microservice-based or serverless applications
• Working comfort with Kubernetes: deploying and debugging your own services in a cluster

OTHER SKILLS WE VALUE

Kafka and event streaming depth

• Operating Kafka in production (MSK, Confluent, or self-managed)
• Kafka Connect, Kafka Streams, and schema registry workflows (Avro/Protobuf)
• Migrating between clusters or providers, and integrating Kafka with downstream analytical stores such as ClickHouse
• Experience with different techniques for processing large datasets, such as Lambda and Kappa architectures

APIs and services

• API design across paradigms (GraphQL, REST, gRPC)
• AuthN/AuthZ and related technologies (sessions, API tokens, JWTs)
• Automated testing across the stack (unit, integration, performance/benchmarking)
• Additional queueing and messaging technologies (AWS SQS/SNS, RabbitMQ)

Platform and infrastructure exposure

• Infrastructure as code: Terraform/OpenTofu
• GitOps-style delivery with ArgoCD or Flux
• Helm chart authoring, secrets management, and autoscaling concepts
• Experience with a durable execution or workflow engine (Temporal, Airflow, Prefect, or similar), including retries, timeouts, and idempotency

WHO WE ARE

Bitovi partners with companies to build outcome-focused apps and platforms. Our collaborative approach is driven by validation to deliver the swiftest route to the most valuable solution.

We design and build high-profile applications and the infrastructure behind them, with tests, full docs, and a real deployment process. We run serious backend, data, and platform engineering practices for enterprise clients. We discuss and design architectures, review code, and research new technologies. We talk to our clients, guiding them through the process, identifying potential problems and unknowns, and tackling challenges.

We help one another freely. We keep a Slack channel called ask-help, which is constantly used. We develop new skills, build better developer tools, …