Platform Security Engineer

Branch International

. Identify and secure attack surfaces across AWS infrastructure, Kubernetes clusters, and internal platforms .

Posted 11/9/2026full-timeIndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud security, particularly within AWS and Kubernetes environments, with a strong focus on implementing security controls, automation, and vulnerability management. Proficient in threat modeling and incident response, while effectively collaborating with cross-functional teams to enhance security posture.

Highest-signal resume keywords

Cloud Security ExpertiseAWS Security ManagementKubernetes SecurityCI/CD Security IntegrationAutomation and Tooling Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud SecurityDevSecOpsApplied CryptographyInfrastructure-as-CodePython ProgrammingGo ProgrammingVulnerability ManagementThreat ModelingIncident ResponseSecurity Design Review

Soft Skills

CollaborationCommunicationMentoringAdversarial ThinkingProblem Solving

Tools & Technologies

AWSKubernetesTerraformCI/CD PipelinesSecurity Automation Frameworks

Industry Keywords

Infrastructure SecurityAccess ManagementNetwork ControlsSecrets ManagementCloud Security Risks

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsKubernetesPythonTerraformGo

About the role

Key responsibilities & impact

Identify and secure attack surfaces across AWS infrastructure, Kubernetes clusters, and internal platforms
Assess misconfigurations, access risks, and exposed services
Design and implement cloud security guardrails, including IAM hardening, network controls, secrets management, and infrastructure security practices
Conduct security design reviews for new services and infrastructure changes
Integrate security checks into CI/CD pipelines for vulnerability, container image, infrastructure configuration, and dependency scanning
Develop automation and internal tooling to detect, prevent, and remediate security issues
Perform threat modeling and adversarial analysis of infrastructure and application systems
Improve security-posture visibility through monitoring, logging, and security-signal generation
Investigate security incidents and vulnerabilities, perform root-cause analysis, and implement long-term fixes
Collaborate with platform, infrastructure, application engineering, and DevOps teams
Build scalable vulnerability-management processes, security-automation frameworks, and infrastructure-security standards
Collaborate with engineering teams across India, the United States, Nigeria, and Kenya to secure Branch’s global fintech platform

Requirements

What you’ll need

4+ years of experience in cloud security, DevSecOps, security engineering, or related roles involving infrastructure and application security
Strong understanding of applied cryptography
Strong hands-on experience securing AWS environments, including IAM policies, networking controls, access management, logging, and infrastructure hardening
Practical experience with Kubernetes and containerized environments, including securing container images, workloads, and cluster configurations
Experience integrating security controls into CI/CD pipelines and development workflows
Ability to write automation and security tooling using Python, Go, or similar languages
Familiarity with Infrastructure-as-Code tools such as Terraform
Experience identifying and remediating cloud security risks
Understanding of cloud and application security threats, including privilege escalation, credential leakage, network exposure, and supply chain vulnerabilities
Ability to think adversarially about systems and identify potential attack paths
Excellent verbal and written collaboration and communication skills
Bonus: security research, penetration testing, bug bounty participation, internal security tooling, or security-focused open-source contributions
Bonus: ability to lead and mentor a team and drive complex projects spanning code bases, systems, and people
Deep understanding of web fundamentals, data modeling, and distributed systems
Knowledge of modular, scalable design patterns, automated testing, observability, and the full software development lifecycle
Ability to navigate and evaluate unfamiliar codebases and evolve existing architectures
Ability to use AI tools responsibly, identify hallucinations, and mitigate prompt injection, data leakage, and secret-management risks

Benefits

Comp & perks

Competitive salary and equity package
Fast-paced, collaborative, and high-autonomy work culture
Hybrid work setup designed for flexibility and work-life balance
Fully paid group medical insurance and personal accident insurance
Generous paid time off, plus company-declared public holidays
Fully paid parental leave for fathers and non-birthing parents (12 weeks), in addition to 26 weeks of statutory maternity leave
Monthly WFH stipend
One-time home office setup budget
$500 annual professional development budget
Quarterly social meet-ups and sponsored monthly team lunches