engineering
Posted Apr 28Lead Software Engineer
at Qualys
Pune, IndiaOn-site
Responsibilities
- Drive roadmap delivery across ACME v2, SPIFFE/SPIRE integration, Kubernetes/service-mesh discovery.
- Collaborate with Product, SRE, Security, VMDR, and TotalCloud teams to ship resilient, production-ready features.
- Mentor engineers on design, performance, distributed systems, and secure coding for PKI/identity systems. Core
Requirements
- Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Lead Software Engineer (CLM / Machine & AI Identity) Qualys is looking for a hands-on Lead Software Engineer to help evolve CertView CLM into a unified machine, workload, and AI-agent identity platform.
- You will lead design and delivery of scalable cloud-security services handling 100M+ transactions and terabytes of data daily, with focus areas including SPIFFE/SPIRE, ephemeral certificates, Kubernetes/service-mesh identity, managed cloud identities, and AI-agent governance.
- experience in cloud environments. Strong Java/Spring Boot expertise; solid fundamentals in distributed systems and scalable API design.
- Experience with event-driven systems (Kafka/JMS), caching (Redis/Memcached), and RDBMS (Oracle preferred).
- Familiarity with Docker, Kubernetes, Jenkins, and CI/CD.
- Bachelor’s degree or higher in Computer Science (or related field).
- Experience (Any 2+) PKI/CLM (X.509, CSR workflows, CA integrations, CRL/OCSP, HSM-backed signing) ACME v2 / cert-manager SPIFFE/SPIRE and workload identity models Cloud managed identity (AWS/Azure/GCP) and OIDC federation Service mesh & mTLS Kubernetes controllers/operators and CRDs NHI and AI-agent security concepts and platforms Nice to Have Post-quantum migration exposure CNCF/IETF contributions (SPIRE, cert-manager, OPA, WIMSE/ACME) Go or Rust
- experience for collectors/plugins/sidecars
Experience
- Qualifications 8+ years of hands-on SaaS engineering
Additional details
- What You’ll Do Lead architecture and development of next-generation CLM platform components Build high-scale identity ingestion and processing pipelines for short-lived credentials and workload identities.