AI Software Engineer (DevOps) - Bangalore, India

The company® is an industry leader in enterprise mobile security, being the first and only company to provide a complete mobile tcahreat defense system that offers real-time, on device world-class protection against both known and unknown next generation of advanced mobile cyberattacks and malware.

Our MTD and award-winning machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of users.

To reinforce our team of experts, we are seeking a highly skilled Software Engineer with strong AI and Python expertise and deep understanding of cloud infrastructure and distributed systems. This role focuses on building scalable infrastructure platforms, automation frameworks, and cloud-native services that support large-scale production environments.

The ideal candidate combines strong coding ability with infrastructure knowledge, enabling them to design reliable systems, automate operational processes, and build internal tools that improve platform reliability and efficiency.

Location: India (Remote)

Responsibilities

Software Development

Design, develop, and maintain backend services using Python

Build scalable microservices and APIs supporting cloud infrastructure platforms

Develop automation tools for infrastructure provisioning, monitoring, and operational workflows

Write clean, maintainable, and testable code following modern engineering practices

Cloud Infrastructure Engineering

Work with cloud platforms (AWS, GCP, OCI, or Azure) to design and operate scalable systems

Develop automation for infrastructure provisioning, configuration, and deployment

Implement Infrastructure-as-Code using tools such as Terraform, Helm, or CloudFormation

Build systems that support high availability, resiliency, and performance at scale

Platform & Reliability Engineering

Build internal tools for monitoring, alerting, and operational observability

Improve system reliability through automation and self-healing mechanisms

Work closely with SRE and platform teams to reduce operational overhead

Implement best practices around security, scalability, and performance

Collaboration

Collaborate with DevOps, SRE, Security, and Product Engineering teams

Participate in design reviews and architecture discussions

Contribute to continuous improvement of engineering processes and tooling

Requirements

Strong programming skills in Python

Experience building production-grade backend services

Deep understanding of cloud infrastructure (AWS, GCP, Azure, or OCI)

Experience with containerized environments (Docker, Kubernetes)

Infrastructure & DevOps

Experience with Infrastructure-as-Code tools (Terraform, Helm, CloudFormation)

Strong knowledge of Linux systems and networking fundamentals

Experience with CI/CD pipelines and automated deployment systems

Understanding of monitoring and observability platforms

Software Engineering

Experience designing scalable distributed systems

Strong understanding of API design and microservices architecture

Familiarity with Git-based workflows and modern development practices

Experience with unit testing, integration testing, and code reviews

Preferred Qualifications

Experience working in large-scale SaaS environments

Knowledge of streaming platforms (Kafka / Kinesis)

Experience with data stores such as PostgreSQL, Elasticsearch, Redis

Experience building automation tools for SRE or platform engineering

Familiarity with security and compliance requirements in cloud environments

The company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.