DevOps Automation Engineer

BrightEdge; India; Remote; INR 1,200,000 - 2,400,000; Full time

Job summary

BrightEdge is seeking a proactive DevOps Automation Engineer with a software development mindset to eliminate toil and build self-service platforms for engineering teams. You will create automated workflows, AI-driven operations, and self-healing capabilities to keep production systems optimized at scale.

You’ll design CI/CD patterns, IaC standards with Terraform or CloudFormation, and multi-cloud tooling across AWS and/or GCP.

Qualifications

• Strong production-grade programming in Python, Go or Bash for automation.
• Hands-on experience with AWS and/or GCP, Docker, Kubernetes (EKS/GKE) and Helm.
• Declarative IaC with Terraform or CloudFormation; CD with Argo CD/Flux CD.
• Proactive ownership mindset; tackle unmapped technical challenges.
• Experience with AI tooling and agents to accelerate implementation.

Responsibilities

• Build Elite Self-Service Tooling: create internal software, APIs and portals to remove human dependencies.
• Engineer AI-Native Operations: automate alert triage, code-review gates and RCA with AI.
• Architect Golden Pipelines: standardize automated CI/CD templates and GitOps.
• Implement Self-Healing: write event-driven scripts and policies for auto-remediation.
• Maintain IaC Standards: deploy multi-cloud resources declaratively via Terraform/CloudFormation.
• Drive Cost & Performance Engineering: automate cost governance and scaling optimisations.

Skills

Python

Go

Bash

CI/CD

Kubernetes

Cloud (AWS/GCP)

Automation

Tools

Docker

Kubernetes (EKS/GKE)

Helm

Argo CD

Flux CD

Terraform

Job description

Location: 100% Remote

Role Overview:

BrightEdge is seeking a proactive, self-reliant DevOps Automation Engineer with a strong software development and tooling orientation to eliminate manual toil, repetitive scripting, and operational dependencies.

Your sole mission is to build the software, portals, integrations, and AI-driven workflows that enable our engineering teams to operate at scale. You will be responsible for creating self-service platforms, automated self-healing loops, and leading-edge AI-native workflows that ensure our production systems are fully optimised. This role is built for developers who love infrastructure, thrive on solving complex, unmapped technical challenges, and want to build the future of automated operations.

What You’ll Do:

• Build Elite Self-Service Tooling: Design and write custom internal software, APIs, and self-service portals (e.g., dynamic environment provisioning, automated access management) to completely remove human dependencies from the development cycle.
• Engineer AI-Native Operations: Develop and integrate custom AI-assisted automation (using Model Context Protocol / MCP, Bedrock, custom LLM agents) to automate alert triage, code-review gates, log parsing, and incident root-cause analysis (RCA).
• Architect Golden Pipelines: Build, standardise, and scale highly automated, reusable CI/CD templates and GitOps workflows across distributed engineering teams.
• Implement Self-Healing & Auto-Remediation: Write robust event-driven scripts (Python/Go/Bash) and infrastructure policies that automatically detect, quarantine, and remediate operational faults without human intervention.
• Maintain Strict IaC Standards: Ensure 100% of multi-cloud resources and configurations are deployed declaratively via modular Terraform or CloudFormation.
• Drive Cost & Performance Engineering: Continuously identify operational inefficiencies and automate cost-governance workflows (e.g., automated resource pruning, multi-region database replication, and scaling optimisations).

What You Bring:

• Software-First Mindset: 4+ years of Strong production-grade programming skills in Python, Go, or Bash for system automation, API integrations, and developer tooling.
• Multi-Cloud & Container Competence: Solid hands-on experience orchestrating workloads across AWS and/or GCP, utilising Docker, Kubernetes (EKS/GKE), and Helm.
• Declarative IaC & GitOps Mastery: Proven experience building multi-environment infrastructures from scratch using Terraform or CloudFormation, and declarative CD delivery using Argo CD or Flux CD.
• Unmapped Problem-Solving: Genuinely motivated to step outside your comfort zone, take deep ownership, and aggressively tackle technical challenges you do not yet know how to solve.
• AI Tooling Adoption: Comfort using and building on top of AI coding assistants (such as Cursor, Claude Code, GitHub Copilot) to accelerate implementation, testing, and debugging.
• Collaboration & Clarity: Ability to collaborate closely with distributed engineering leads, DevOps managers, and architects to translate business operational friction into scalable software solutions.

Nice to Have:

• Experience building or integrating custom Model Context Protocol (MCP) servers or LangGraph pipelines.
• Experience managing high-throughput streaming systems (Kafka, RabbitMQ) or distributed database clusters.
• Hands-on experience with advanced Kubernetes auto-scaling (Karpenter, KEDA) and telemetry aggregation.
• Dual certifications such as CKA (Certified Kubernetes Administrator) or Red Hat (RHCSA).

What the Right Candidate Gets:

• Zero Pager Pressure: Complete focus on software development and tooling without the interruptions of an on-call rotation.
• Leading-Edge AI Work: Direct exposure to building on top of state-of-the-art AI-assisted engineering models and frameworks.
• High Architectural Impact: A mandate to design, build, and enforce the automated frameworks that define how our global product teams deploy.
• Direct Growth Path: Frequent collaboration with our Chief Architect, SRE Leads, and engineering stakeholders.