รber diese Head Of Engineering Stelle bei Weekday AI
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฌ-๐ฑ๐ฌ ๐๐ฃ๐)
Experience: 8+ yrs
Location: Hyderabad, Telangana, India
Job Type: Full-time
We are looking for an experienced and hands-onย Tech Leadย to lead the architecture, design, development, and delivery of a next-generationย Cybersecurity SaaS Platformย spanning SIEM, EDR, XDR, security analytics, threat detection, and automated response.
The role requires a strong software engineering background combined with expertise inย cloud-native architecture, distributed systems, cybersecurity platforms, high-volume data processing, and DevSecOps. You will work closely with Product, Architecture, Security, QA, DevOps, and Engineering teams to build scalable, secure, highly available platforms capable of processing large volumes of security telemetry and supporting real-time detection, investigation, and response.
Requirements
KEY RESPONSIBILITIES
- Lead the architecture, design, and development of scalableย cybersecurity SaaS platforms.
- Translate product and security requirements into scalable, maintainable technical solutions.
- Design cloud-native andย multi-tenant SaaS architecturesย using AWS and/or Azure.
- Develop distributed, microservices-based, streaming, and event-driven systems for high-volume security data.
- Contribute to SIEM, EDR/XDR, security analytics, threat detection, alert correlation, and automated response capabilities.
- Design and optimise large-scale security telemetry ingestion, processing, storage, search, and analytics pipelines.
- Work with technologies such asย Kafka, distributed data processing platforms, data lakes/lakehouses, SQL/NoSQL databases, and search platforms.
- Drive engineering standards for performance, scalability, reliability, security, observability, testing, and maintainability.
- Lead architecture reviews, technical design discussions, code reviews, and technical problem-solving.
- Own the software development lifecycle across requirements, design, development, testing, CI/CD, deployment, production validation, and monitoring.
- Establish automated unit, integration, security, and performance testing practices.
- Drive release planning, versioning, branching strategies, deployment automation, rollback planning, hotfixes, and production releases.
- Build and improve CI/CD pipelines using platforms such asย GitHub, GitLab, Jenkins, or Azure DevOps.
- Implementย DevSecOpsย practices, including secure coding, vulnerability management, SAST, DAST, SCA, container security, and infrastructure security scanning.
- Work withย Docker, Kubernetes, Terraform, CloudFormation, and other cloud-native and Infrastructure-as-Code technologies.
- Identify technical risks, bottlenecks, dependencies, and production issues and drive them through to resolution.
- Mentor and guide software engineers, review technical implementations, and establish effective engineering practices.
- Collaborate closely with Product, Security, Architecture, QA, DevOps, and other cross-functional teams.
- Contribute to technical hiring, interviews, team development, and engineering capability building.
WHAT MAKES YOU A GREAT FIT
- 8+ years of software engineering experience, withย 3+ years in a technical leadership roleย preferred.
- Strong hands-on experience designing and developingย scalable SaaS and cloud-native applications.
- Strong expertise inย distributed systems, microservices, system design, REST APIs, and event-driven architectures.
- Strong programming experience in one or more ofย Java, Go, Python, or Node.js/TypeScript.
- Strong hands-on experience withย AWS and/or Microsoft Azure.
- Experience withย Kubernetes, Docker, Infrastructure as Code, CI/CD, automated testing, and production troubleshooting.
- Strong understanding ofย SIEM, EDR/XDR, SOC operations, security event processing, threat detection, alert correlation, incident response, and security analytics.
- Knowledge of theย MITRE ATT&CK frameworkย and modern cybersecurity practices.
- Experience working with high-volume data ingestion, streaming architectures, distributed processing, and real-time analytics.
- Strong SQL and database fundamentals, with experience across relational and NoSQL technologies.
- Experience with technologies such asย Kafka, Flink, Spark, Trino, ClickHouse, OpenSearch/Elasticsearch, or comparable platforms is advantageous.
- Experience building commercial cybersecurity products or platforms is highly desirable.
- Knowledge ofย SOAR, automated security response, AI/ML-based security analytics, or AI-driven SOC automationย is an advantage.
- Strong understanding of secure software development andย DevSecOpsย practices.
- Experience with production systems, incident management, observability, and release management.
- Strong ownership, problem-solving, communication, mentoring, and stakeholder-management skills.
- Ability to remain hands-on while leading engineers and making complex technical decisions.
- Bachelor's or Master's degree inย Computer Science, Engineering, Information Technology, or a related disciplineย is preferred.