33 ΠΌΠΈΠ½ΡΡΡ Π½Π°Π·Π°Π΄
Sr Staff/Principal DevOps Engineer
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Sr Staff/Principal DevOps Engineer (AWS/Kubernetes): Building and scaling secure DevOps infrastructure for a security SaaS platform with an accent on AWS, Infrastructure as Code, CI/CD automation, and observability. Focus on architecting complex platforms, designing cost-efficient Kubernetes deployments, securing cloud infrastructure, and automating reliable operations.
Location: Delhi NCR, India; on-site.
Company
develops a security SaaS platform and supporting engineering infrastructure.
What you will do
- Lead critical DevOps projects, set technical direction, and influence engineering strategy.
- Architect and implement complex DevOps platforms and infrastructure in AWS.
- Design Infrastructure as Code components with Terraform for product solutions and internal engineering tools.
- Build automated, repeatable, and secure CI/CD deployment systems for the security SaaS platform.
- Design scalable, cost-efficient Kubernetes deployment infrastructure and implement observability systems.
- Secure infrastructure, mentor engineers, collaborate across teams, and participate in on-call rotation.
Requirements
- 10+ years of DevOps experience for the Senior Staff level or 12β15 years for the Principal level.
- Bachelorβs degree in Computer Science or a related field.
- 4+ years setting up and managing AWS infrastructure for a product development organization.
- 4+ years building infrastructure with Terraform and 3+ years working with Kubernetes and Helm.
- Expert-level Python programming for scripting and automation, plus strong Ansible and CI/CD experience with GitLab, Jenkins, or similar tools.
- Ability to architect, design, document, and implement complex platforms; availability for on-call duties.
Nice to have
- Experience with Grafana, Prometheus, the LGTM stack, and other observability systems.
- Experience managing Aurora RDS PostgreSQL, ElastiCache, Cassandra, OpenSearch/Elasticsearch, or ClickHouse.
- AWS or other cloud certifications, MLOps experience, and experience with AI technologies for infrastructure management.
- Familiarity with Nginx, HAProxy, Kafka, and public cloud components.
Culture & Benefits
- Collaborative work across engineering and other functions.
- Ownership of cross-organizational initiatives and operational customer engagements.
- Agile working environment with emphasis on clear communication and documentation.
- Continuous learning and adaptation to evolving DevOps and cloud technologies.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β