AI Software Engineer (DevOps) - Bangalore, India

Zimperium® is an industry leader in enterprise mobile security, being the first and 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

Zimperium 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.

• 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)
• 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