Backend Engineer (Go) – AI Security Platform
New
P
PragmatikeCybersecurity / AI Security
India, Remote-FirstFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Fluent English
- Experience
- 4+ years of professional backend engineering experience, including 2+ years building production services in Go. Senior roles require 6+ years overall and 3+ years in Go.
- Required Skills
- AWSDockerPythonGCPKubernetesAzureGogRPCRESTful APIs
Requirements
- 4+ years of professional backend engineering experience, including 2+ years building production services in Go.
- Strong understanding of Go concurrency, networking, and performance, including goroutines, channels, context, and profiling.
- Working knowledge of Python.
- Experience designing gRPC and REST APIs, working with protobuf, and building asynchronous/event-driven systems such as Kafka.
- Experience with Docker, Kubernetes, and at least one major cloud provider (AWS, GCP, or Azure).
- Experience with relational and/or NoSQL databases in distributed systems.
- Strong testing discipline and attention to data correctness.
- Fluent English with strong written and verbal communication skills.
- Must be comfortable using modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or similar.
- Ability to work independently and take ownership in a remote-first, distributed environment.
Responsibilities
- Design, build, and operate production Go services with high standards for performance, reliability, and multi-tenancy.
- Design APIs and data models, owning service contracts, idempotency, retries, and back-pressure.
- Build event-driven pipelines and integrations with cloud providers, internal systems, or AI/agent frameworks.
- Own service reliability through testing, observability, CI/CD, and production readiness.
- Use Python for tooling, testing, migrations, automation, or data workflows.
- Collaborate with AI engineers, security researchers, and product teams on threat models and enforcement logic.
- Use AI coding assistants as part of your daily development, testing, and debugging workflow.
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