Responsibilities;
- Strengthen our application and environment security, applying standards and best practices and providing tooling to make development workflows more secure
- Create, maintain, and iterate on our CI/CD processes for new and existing services
- Increase the sophistication of our alerting and escalation mechanisms
- Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense
- Help increase system performance with a focus on high availability and scalability
- Propose, scope, design, and implement various infrastructure architectures
- Work collaboratively with multiple agile teams to help deliver end-to-end products and features, seeing them through from conception to delivery
- Continue to keep the lights on (day-to-day administration)
- Help define, document, evolve, and evangelize high engineering standards and best practices across multiple areas
- Move quickly and intelligently - seeing technical debt as your nemesis
- Deployment at customer sites
Must have;
- 3+ years of professional experience as a DevOps / System Engineer
- Experience working in and advocating for agile environments
- Extensive experience working within AWS and with it’s managed products (EC2, ECS, ECR, R53, SES, Elasticache, RDS, Redshift, etc)
- Strong experience working with automation tooling
- Strong experience with containers (Docker, Compose, Kubernetes)
- Strong experience with various managed and self-hosted CI/CD tooling (Jenkins, Travis, etc)
- Strong understanding of DNS, TCPDUMP, CDNS, SSL, Git, Firewalls and networking concepts (VPC, subnetting, VPNs, etc).
- Experience deploying applications, and supporting services
- Familiar with software security best practices
- Understanding of monitoring tools
BE / BTech Only
Flexible Working Hours
Product Start Up Culture
Remote Work
AutonomIQ is a cloud platform that enables product and IT teams to autonomously test, release and deploy software, thereby increasing velocity of software releases without compromising quality. With pre-built integrations to common web applications and SaaS providers, customers can instantly create test cases, generate test scripts and test data, and execute tests. Using deep-learning and AI algorithms, detects changes, enables self-healing for test assets and provides advanced diagnostics. In real world situations, has been shown to provide over ~50% improvement in speed and quality compared to existing tools and techniques.
Originally posted on