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United States; United Kingdom; Germany; Spain; Poland; Netherlands; India Employment contract 80000.00 - 120000.00 USD / Year · Job Posted July 04, 2026
Build the technical backbone for labs that run themselves. This is a hands-on backend and infrastructure role. You will write production code, make architecture choices, and own systems from design through deployment, monitoring, and incident response.
Job Responsibility
Design, build, and operate cloud infrastructure across AWS and Azure for scale, reliability, security, and cost efficiency
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks
Own backend reliability and performance across services, dependencies, queues, caches, databases, and external integrations
Build and improve CI/CD pipelines so the team can deploy quickly, safely, and with clear rollback paths
Run production end to end
Design event-driven and asynchronous workflows using RabbitMQ or similar messaging systems
Use Redis and other caching patterns to improve latency, throughput, and resilience
Operate relational data stores in RDS, graph workloads in Cosmos DB, and NoSQL or vector workloads in MongoDB Atlas
Build useful observability with logs, metrics, traces, dashboards, and alerts using tools such as Datadog and ELK
Improve network and application security
Turn repeated operational work into code, tools, runbooks, and guardrails that raise developer velocity
Make clear trade-offs among speed, reliability, maintainability, compliance, and cloud cost
Requirements
Roughly 3+ years of experience building and operating backend, platform, DevOps, SRE, or infrastructure systems
Strong production backend experience with Python and FastAPI, Java and Spring Boot, or a comparable stack
A solid grasp of distributed systems, asynchronous processing, failure modes, retries, idempotency, and message-driven architecture
Hands-on experience with AWS and Azure
Solid understanding of AI pipelines, prompt looping, langfuse tracing, and context engineering
Experience with Docker and Kubernetes
Strong database fundamentals across relational systems such as MySQL or PostgreSQL
Exposure to graph, NoSQL, or vector data systems
Experience designing and consuming REST APIs
Experience operating services that other teams or customers depend on
Proven ownership of systems from architecture and implementation through deployment, monitoring, debugging, and optimization
Strong production debugging and performance-tuning skills
The ability to move from a symptom to the root cause across application code and infrastructure
Good security instincts around secrets, access control, network boundaries, data protection, and regulated environments
Clear written and verbal communication
Nice to have
Infrastructure as code with Terraform or a similar tool
Datadog, ELK, OpenTelemetry, or another observability stack
Microservices and event-driven systems at meaningful production scale
Vector search, AI infrastructure, or LLM-powered applications
Security, compliance, audit trails, or regulated software environments
Experience in an early-stage startup where you operated beyond a narrow job boundary
Life-science, lab, healthcare, manufacturing, or other data-heavy workflow experience
Building short term or long term memory layer using databases that work well with agents