Jobs
Compensation
$197,000 - $266,500
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
AWS
DevOps
Kubernetes
Docker
CI/CD
Java
Python
Ruby
Come join the SBG (Small Business Group) Business Platform Services Engineering team at Intuit to help us manage and scale our infrastructure behind our flagship products. We are looking for a passionate Software Engineer with experience on the DevOps/SRE side working on Docker, Kubernetes and AWS technologies. This position will be responsible for designing, developing, building, integrating, and managing enterprise level Cloud systems with complex inter dependencies and high availability, security, performance, scalability and cost optimization requirements.
Responsibilities
- Design, implement, and maintain complex data systems supporting millions of customers with Cloud Native principles and best practices to ensure highly available, secure, performant and scalable database systems.
- Build and maintain CI/CD pipelines in Jenkins
- Build and deploy services in Kubernetes cluster using helm, kustomize, etc
- Contribute to infrastructure changes to AWS with deep understanding of AWS services.
- Engage in on-call for pre-production and production systems supporting multi-million users
- Write/Review RCA docs to prevent recurrence of Incidents in future and share the learnings
- Contribute to major system upgrades, deployment automation, monitoring enhancements and Production changes.
- Create operational playbooks, contribute to how-to articles, and gain domain knowledge to drive changes in the team.
- Participate and contribute in FMEA/Chaos testing, Security remediations, etc
- Share best practices and patterns for operational excellence and cost optimization
- Reduce or eliminate manual steps by automating as much as possible
- Continuously look for opportunities to increase developer velocity and productivity
- Use of various AI technologies to build AIOPS tool that will benefit customers, developers or Care agents
Qualifications
- Bachelor's or master's degree in computer science or a related technical field.
- 8+ years of hands-on development & operational experience with building and maintaining infrastructure in AWS
- Extensive performance monitoring, troubleshooting & tuning experience.
- Experience with AWS services and hands-on knowledge of hosting on Cloud implementing high-availability architectures and DR strategies
- Experience with scripting languages for DevOps automation
- Experience with any one of the programming languages: Java/Python/Ruby
- Knowledge of Docker & Kubernetes, ArgoCD,
- Experience with monitoring and observability using Splunk, Wavefront, App Dynamics, Prometheus, Tracing, etc
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $197,000- 266,500
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About Intuit
Reviews
3.6
9 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.1
Career
3.7
Management
3.0
65%
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Pros
Flexible schedule and work independence
Good benefits and 401k match
Supportive teammates and collaboration
Cons
Management issues and favoritism
High pressure and quotas
Poor communication and politics
Salary Ranges
91 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Business Data Analyst
2 reports
$134,007
total / year
Base
$116,528
Stock
-
Bonus
-
$123,571
$134,007
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Live Coding Interview
4
Case Study/Technical Assessment
5
Behavioral Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
System Design
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