Software Engineer 1 – Cloud Infrastructure

Abnormal Security

. Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in AWS and Azure multi-cloud environments .

Posted 10/17/2026full-timeRemote • United StatesJunior💰 $122,400 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining secure, scalable cloud infrastructure in AWS and Azure environments, with a strong focus on infrastructure as code and automation. Proficient in leveraging AI tools for coding and documentation improvements while ensuring operational reliability and efficiency.

Highest-signal resume keywords

AWS Infrastructure EngineeringInfrastructure As CodePython ProgrammingKubernetes ExperienceAI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Infrastructure SolutionsTerraformMicroservice-Based SystemsSoftware Development PracticesIncident ResponseProduction-Grade SystemsAutomationRoot Cause AnalysisBashGolang

Soft Skills

Strong Communication SkillsAbility To Thrive In Fast-Paced Environments

Tools & Technologies

AWSAzureTerraformKubernetesClaude CodeCodexTerragrunt

Certifications & Qualifications

AWS Certifications

Industry Keywords

Agile TeamOn-Call RotationTechnical DebtOperational ToilScalable System Provisioning

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesPythonTerraformGo

About the role

Key responsibilities & impact

Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in AWS and Azure multi-cloud environments
Develop, evolve, and operate infrastructure as code for repeatable, auditable, and scalable system provisioning
Participate in technical discussions and provide constructive reviews
Contribute as a core member of an agile team
Partner with product and application engineering teams to understand platform needs and deliver developer-friendly infrastructure abstractions
Participate in an on-call rotation, identify systemic gaps, and drive long-term reliability improvements
Reduce technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments
Use AI to explore, design, and ship solutions and improve documentation, runbooks, and AI skills

Requirements

What you’ll need

Bachelor’s degree in Computer Science or a related technical field
1–2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments
1+ years of experience with Python
6 months–1 year of experience with at least two of Terraform, AWS or equivalent public cloud provider services, and Kubernetes
Experience with mature software development practices, including source control, testing, and deployment
Experience with on-call rotations, incident response, and operating production-grade systems
Experience using AI coding tools such as Claude Code or Codex in daily engineering work
Ability to validate, simplify, and reject AI-generated output that does not hold up in production
Strong communication skills
Ability to thrive in a fast-paced, remote-first environment
Nice to have: Bash, Golang, Terragrunt, large-scale infrastructure-as-code abstractions, or AWS certifications

Benefits

Comp & perks

Bonus or incentive compensation may be available
Equity may be available
Comprehensive benefits package
Remote-first work environment