11 часов назад
Software Development Engineer III - DevOps Engineer (AWS/Kubernetes)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer III - DevOps Engineer (AWS/Kubernetes): Designing and maintaining secure, scalable cloud infrastructure and CI/CD pipelines for an AI-driven cybersecurity platform with an accent on automation, observability, reliability, and cloud cost optimization. Focus on troubleshooting Kubernetes workloads, managing Dockerized microservices and distributed data stores, and improving incident response and infrastructure performance.
Location: Bengaluru, India; on-site
Company
is a Series C-funded cybersecurity company providing an AI-driven platform for real-time security posture and cyber-risk visibility for global enterprises.
What you will do
- Build and maintain reliable CI/CD pipelines for efficient software delivery.
- Design, implement, and roll out DevOps tooling and automation.
- Manage multi-environment AWS infrastructure with Dockerized microservices, ECS, data stores, and queueing technologies.
- Provision infrastructure and reduce manual effort using Terraform, Ansible, and related automation tools.
- Improve observability, availability, reliability, performance, and cloud cost efficiency.
- Lead incident response improvements, troubleshooting, postmortems, and cross-team operational practices.
Requirements
- 5+ years of experience as a DevOps Engineer or in a similar role.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong experience with AWS cloud infrastructure and Infrastructure as Code tools such as CloudFormation, Terraform, Ansible, Puppet, or Chef.
- Hands-on expertise with Kubernetes, preferably EKS, including cluster architecture, networking, autoscaling, scheduling, ingress controllers, storage, and workload troubleshooting.
- In-depth Docker experience, including networking, storage, orchestration, deployment, scaling, monitoring, and troubleshooting.
- Experience with monitoring and alerting, microservices, Bash or Python scripting, CI/CD tools, and SQL and NoSQL database performance optimization.
Nice to have
- AWS professional certification.
- Experience deploying and managing machine learning models and developing data pipelines.
- Familiarity with Kafka, RabbitMQ, Redis, and other distributed infrastructure components.
Culture & Benefits
- Mission-driven, high-intensity environment focused on ownership and high-quality delivery.
- Direct feedback, rigorous methodologies, and data-driven engineering practices.
- Meaningful equity participation for employees.
- Unlimited leave, medical insurance, and wellness benefits.
- Opportunities for rapid career advancement in a growing company.
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