Senior Backend & Infrastructure Engineer
About the role
Hands-on backend and infrastructure role focused on building and operating Scispot's cloud infrastructure, backend services, and AI/data tooling across AWS and Azure. Owns systems from design through deployment, monitoring, incident response, and cost optimization.
Responsibilities
- 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 including deployments, monitoring, alerting, debugging, incident response, post-incident follow-up, and capacity planning.
- 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 including VPC design, secrets management, access control, encryption, and auditability.
- Turn repeated operational work into code, tools, runbooks, and guardrails to raise developer velocity.
- Make clear trade-offs among speed, reliability, maintainability, compliance, and cloud cost.
Qualifications
- 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.
- Solid grasp of distributed systems, asynchronous processing, failure modes, retries, idempotency, and event-driven architecture.
- Hands-on experience with AWS and Azure with decisions on networking, compute, storage, identity, security, and cost.
- Solid understanding of AI pipelines, prompt looping, langfuse tracing, and context engineering.
- Experience with Docker and Kubernetes; Production EKS experience is especially useful.
- Strong database fundamentals across relational systems (MySQL/PostgreSQL) and 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 through deployment, monitoring, debugging, and optimization.
- Strong production debugging and performance-tuning skills.
- Ability to diagnose root causes across application code and infrastructure.
- Good security instincts around secrets, access control, network boundaries, data protection, and regulated environments.
- Clear written and verbal communication, with an ability to surface risks early.
Skills
Benefits
- Not specified in the job description.
About Scispot
The Best Data Infrastructure for Biotechs
Scispot is the best tech stack for biotech. It's the first-ever toolkit that lets you tailor it to your needs – no coding required. Think of it as a super combo of ELN + LIMS + Integrations + Analytics. You can set it up using a user-friendly interface (GUI) or by entering commands (CLI). It's about making your digital biotech dreams a reality. You can design your data infrastructure, automate your workflows and integrations and make your data ready for machine learning and artificial intelligence – all on one spot. Scispot even provides pre-made blueprints for major experiments, teamwork, and data management. Request a demo to see Scispot in action here: https://calendly.com/scispot/30min
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