Devops Engineer

Posted Yesterday
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Hiring Remotely in Pune, Mahārāshtra, IND
In-Office or Remote
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
Own and improve CI/CD and infrastructure on AWS, strengthen security, increase alerting and scalability, design and implement infrastructure architectures, support deployments (including customer-site installs), collaborate with agile teams, and handle day-to-day operations and monitoring.
Summary Generated by Built In
Company Description

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, AutonomIQ detects changes, enables self-healing for test assets and provides advanced diagnostics. In real world situations, AutonomIQ has been shown to provide over ~50% improvement in speed and quality compared to existing tools and techniques. 

Job Description

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

Qualifications

BE / BTech Only

Additional Information

Flexible Working Hours
Product Start Up Culture
Remote Work

Skills Required

  • 3+ years professional experience as a DevOps / System Engineer
  • Experience working in and advocating for agile environments
  • Extensive experience with AWS (EC2, ECS, ECR, Route53, SES, ElastiCache, RDS, Redshift)
  • Strong experience with automation tooling
  • Strong experience with containers (Docker, Compose, Kubernetes)
  • Strong experience with CI/CD tooling (Jenkins, Travis)
  • Strong understanding of DNS, tcpdump, CDNS, SSL, Git, Firewalls and networking concepts (VPC, subnetting, VPNs)
  • Experience deploying applications and supporting services
  • Familiar with software security best practices
  • Understanding of monitoring tools
  • BE / BTech degree
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The Company
16 Employees

What We Do

AutonomIQ is a cloud-based, AI-driven low-code platform that enables companies to autonomously test, release, and deploy software. By utilizing machine learning and deep-learning algorithms, the platform detects changes and provides self-healing for test assets, significantly increasing the velocity of software releases while improving overall quality, risk management, and compliance for SaaS and digital products.

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