Software Engineer 1 - Platform & Infrastructure

Abnormal
Bangalore, India
Hybrid

Who this role is best for

A natural match if you have experience in backend development and AI-native systems.

Best fit for

  • Candidates with backend development experience and interest in AI-native infrastructure
    — “backend development using Python, with exposure to cloud-native environments”
  • Engineers with a track record of working autonomously and asynchronously with cross-functional teams
    — “ability to work autonomously and asynchronously with different teams”

Things to consider

  • Candidates must be prepared for pre-employment checks before final offer
    — “pre-employment checks which must be successfully completed to progress to a final offer”

How to stand out

  • Highlight experience with REST APIs and data pipelines in your resume and interviews
    — “Solid understanding of databases, REST APIs, and data pipelines”
  • Showcase your ability to work with AI development tools like Cursor or GitHub Copilot
    — “Familiarity with LLM's and AI development tools such as Cursor, GitHub Copilot, or Claude”
  • Emphasize projects that demonstrate building reliable, high-performance systems
    — “passion for building scalable, enterprise-grade systems that operate reliably in production”
  • Demonstrate your ability to drive platform consistency through cross-team collaboration
    — “Collaborate Across Teams – Partner with Detection, Data Platform, and Product Engineering teams”
  • Include experience with observability tools such as Prometheus or Grafana in your application
    — “Exposure to observability tools (Prometheus, Grafana)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • ownership and impact
  • strong communication
  • curiosity and eagerness to learn
Typical background
2+ years of experience as a software engineerstrong foundation in coding and problem-solving

Skills & requirements

Required

Backend DevelopmentCloud-native EnvironmentsDatabasesREST ApisData PipelinesLlms And AI Development ToolsBuilding Scalable, Enterprise-grade SystemsDistributed SystemsCloud Infrastructure

Preferred

Containerization (docker, Kubernetes)Observability Tools (prometheus, Grafana)Data PlatformsStreaming SystemsInfrastructure-as-code

Stack & domain

PythonBackend DevelopmentCloud-native EnvironmentsDatabasesREST ApisData PipelinesLlm'sAI Development ToolsDistributed SystemsOrchestrationCloud InfrastructureOwnershipImpactGrowth-orientedCommunicationCuriosityEagerness To LearnCybersecurityEnterprise-grade Systems

About the role

Original posting from Abnormal

At Abnormal AI, we’re building the infrastructure that powers our AI-native cybersecurity platform, which protects the world’s largest enterprises from sophisticated attacks. The Platform & Infrastructure (PI) division provides the core systems that enable all Abnormal products to operate reliably, at scale, and with high performance. 

You’ll join a team that owns critical services in cloud infrastructure, data platforms, observability, and development tooling.

What We’re Looking For:

● Ownership & Impact: You’re growth-oriented, take ownership of your work, and are eager to make a significant impact.

● Continuous Learner: Looking to grow as an engineer as part of a strong team, learning from established engineers, product managers, and designers.

● Strong Communicator: You excel in communication, with the ability to workautonomously and asynchronously with different teams.

Must Have Skills

● 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving.

● Hands-on experience in backend development using Python, with exposure to cloud-native environments.

● Solid understanding of databases, REST APIs, and data pipelines.

● Familiarity with LLM's and AI development tools such as Cursor, GitHub Copilot, or Claude

● Demonstrated passion for building scalable, enterprise-grade systems that operate reliably in production.

● Curiosity and eagerness to learn about distributed systems, orchestration, and cloud infrastructure.

Nice to Have

● Familiarity with containerization (Docker, Kubernetes).

● Exposure to observability tools (Prometheus, Grafana).

● Interest in data platforms, streaming systems, or infrastructure-as-code.

What You’ll Do

As part of our Platform & Infrastructure team, you will:

● Leverage AI-powered Development – Use Cursor, Copilot, and other AI tools to

accelerate development, automate workflows, and improve reliability.

● Build Foundational Systems – Design and maintain core backend services, infrastructure tooling, and data pipelines that support all Abnormal products.

● Optimize for Scale – Improve performance and resilience of systems handling billions of events daily.

● Collaborate Across Teams – Partner with Detection, Data Platform, and Product Engineering teams to ensure seamless integration and platform consistency.

● Drive Reliability and Observability – Build automated monitoring, alerting, and logging to ensure system health and performance at scale.

#LI-FS1

A note on AI in our process: 

Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Source: Abnormal careers

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