Backend Engineer – Go, AI Security Platform

Pragmatike

. Design, build, and operate production Go services with high standards for performance, reliability, and multi-tenancy .

Posted 9/17/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production services using Go, with a strong focus on performance, reliability, and multi-tenancy. Proficient in API design, event-driven systems, and leveraging AI coding assistants for enhanced development workflows.

Highest-signal resume keywords

Go ProgrammingAPI Design (gRPC, REST)Event-Driven Systems (Kafka)Docker and KubernetesCloud Provider Experience (AWS, GCP, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringConcurrency in GoPython ProgrammingData ModelingTesting DisciplineRelational DatabasesNoSQL DatabasesObservabilityCI/CD PracticesPerformance Profiling

Soft Skills

Strong Communication SkillsIndependent WorkOwnership

Tools & Technologies

AI Coding AssistantsGitHub CopilotDockerKubernetesKafka

Industry Keywords

Production ServicesMulti-TenancyCloud IntegrationsDistributed SystemsAutomation

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGRPCKafkaKubernetesNoSQLPythonGo

About the role

Key responsibilities & impact

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 daily development, testing, and debugging workflow

Requirements

What you’ll need

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
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 or equivalent
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
Comfortable using modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, Codex, or similar; this is a must-have
Ability to work independently and take ownership in a remote-first, distributed environment

Benefits

Comp & perks

Remote-first work arrangement
Opportunity to work on a greenfield product at the intersection of cybersecurity and agentic AI
Work on Go services operating at enterprise scale
Ownership of a product workstream and influence over architecture from an early stage
Work alongside a highly technical, distributed engineering team
AI-assisted development as a core part of the engineering process
Fair, transparent, and inclusive recruitment process