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SENIOR INFORMATION SECURITY ENGINEER (DEVSECOPS)
Key Skills: Software Development Life Cycle (SDLC), CI/CD
About Company: Consumer Internet / E-Commerce
Company Size: Mid-Sized
Experience Required: 6 - 10 years
Working Days: 5 days/week
Office Location: Bengaluru [Karnataka]
Review Criteria:
Mandatory:
- Strong DevSecOps profile
- Must have 5+ years of hands-on experience in Information Security, with a primary focus on cloud security across AWS, Azure, and GCP environments.
- Must have strong practical experience working with Cloud Security Posture Management (CSPM) tools such as Prisma Cloud, Wiz, or Orca along with SIEM / IDS / IPS platforms
- Must have proven experience in securing Kubernetes and containerized environments including image security,runtime protection, RBAC, and network policies.
- Must have hands-on experience integrating security within CI/CD pipelines using tools such as Snyk, GitHub Advanced Security,or equivalent security scanning solutions.
- Must have solid understanding of core security domains including network security, encryption, identity and access management key management, and security governance including cloud-native security services like GuardDuty, Azure Security Center etc
- Must have practical experience with Application Security Testing tools including SAST, DAST, and SCA in real production environments
- Must have hands-on experience with security monitoring, incident response, alert investigation, root-cause analysis (RCA), and managing VAPT / penetration testing activities
- Must have experience securing infrastructure-as-code and cloud deployments using Terraform, CloudFormation, ARM, Docker, and Kubernetes
- B2B SaaS Product companies
- Must have working knowledge of globally recognized security frameworks and standards such as ISO 27001, NIST, and CIS with exposure to SOC2, GDPR, or HIPAA compliance environments
Preferred:
- Experience with DevSecOps automation, security-as-code, and policy-as-code implementations
- Exposure to threat intelligence platforms, cloud security monitoring, and proactive threat detection methodologies, including EDR / DLP or vulnerability management tools
- Must demonstrate strong ownership mindset, proactive security-first thinking, and ability to communicate risks in clear business language
Roles & Responsibilities:
We are looking for a Senior Information Security Engineer who can help protect our cloud infrastructure, applications, and data while enabling teams to move fast and build securely.
This role sits deep within our engineering ecosystem. You’ll embed security into how we design, build, deploy, and operate systems—working closely with Cloud, Platform, and Application Engineering teams. You’ll balance proactive security design with hands-on incident response, and help shape a strong, security-first culture across the organization.
If you enjoy solving real-world security problems, working close to systems and code, and influencing how teams build securely at scale, this role is for you.
What You’ll Do-
Cloud & Infrastructure Security:
- Design, implement, and operate cloud-native security controls across AWS, Azure, GCP, and Oracle.
- Strengthen IAM, network security, and cloud posture using services like GuardDuty, Azure Security Center and others.
- Partner with platform teams to secure VPCs, security groups, and cloud access patterns.
Application & DevSecOps Security:
- Embed security into the SDLC through threat modeling, secure code reviews, and security-by-design practices.
- Integrate SAST, DAST, and SCA tools into CI/CD pipelines.
- Secure infrastructure-as-code and containerized workloads using Terraform, CloudFormation, ARM, Docker, and Kubernetes.
Security Monitoring & Incident Response:
- Monitor security alerts and investigate potential threats across cloud and application layers.
- Lead or support incident response efforts, root-cause analysis, and corrective actions.
- Plan and execute VAPT and penetration testing engagements (internal and external), track remediation, and validate fixes.
- Conduct red teaming activities and tabletop exercises to test detection, response readiness, and cross-team coordination.
- Continuously improve detection, response, and testing maturity.
Security Tools & Platforms:
- Manage and optimize security tooling including firewalls, SIEM, EDR, DLP, IDS/IPS, CSPM, and vulnerability management platforms.
- Ensure tools are well-integrated, actionable, and aligned with operational needs.
Compliance, Governance & Awareness:
- Support compliance with industry standards and frameworks such as SOC2, HIPAA, ISO 27001, NIST, CIS, and GDPR.
- Promote secure engineering practices through training, documentation, and ongoing awareness programs.
- Act as a trusted security advisor to engineering and product teams.
Continuous Improvement:
- Stay ahead of emerging threats, cloud vulnerabilities, and evolving security best practices.
- Continuously raise the bar on a company's security posture through automation and process improvement.
Endpoint Security (Secondary Scope):
- Provide guidance on endpoint security tooling such as SentinelOne and Microsoft Defender when required.
Ideal Candidate:
- Strong hands-on experience in cloud security across AWS and Azure.
- Practical exposure to CSPM tools (e.g., Prisma Cloud, Wiz, Orca) and SIEM / IDS / IPS platforms.
- Experience securing containerized and Kubernetes-based environments.
- Familiarity with CI/CD security integrations (e.g., Snyk, GitHub Advanced Security, or similar).
- Solid understanding of network security, encryption, identity, and access management.
- Experience with application security testing tools (SAST, DAST, SCA).
- Working knowledge of security frameworks and standards such as ISO 27001, NIST, and CIS.
- Strong analytical, troubleshooting, and problem-solving skills.
Nice to Have:
- Experience with DevSecOps automation and security-as-code practices.
- Exposure to threat intelligence and cloud security monitoring solutions.
- Familiarity with incident response frameworks and forensic analysis.
- Security certifications such as CISSP, CISM, CCSP, or CompTIA Security+.
Perks, Benefits and Work Culture:
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.
ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits

