Design and implement monitoring solutions for software applications, conduct performance analysis, and mentor junior team members while collaborating across teams.
We are looking for a reliability expert who is passionate about scaling Cloud services to join our growing SRE teams. An ideal candidate is someone who is aware of current industry trends (particularly those related to reliability) and who thrives on working with a diverse set of partners, who can articulate the business impact of a problem and can also dive deep into the technical solution. Your future team We'd love for you to bring a deep understanding of modern Cloud Infrastructure, operational best practices, and experience in architecting highly reliable systems that operate at massive scale. We're looking for an engineer who can drive change across our services and processes to get us to an even higher level of reliability, performance, scalability, and cost efficiency. You'll achieve this by crossing team and functional boundaries to advocate for reliability methodologies and will work with a variety of platform, product and SRE teams to both build reliability into our platform and drive adoption of those practices into our products. In other words, you'll be the driving force for change! You will report directly to the Head of SRE. This is a remote-friendly opportunity.
Compensation At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $234,100 - $312,100 Zone B: $210,700 - $280,900 Zone C: $194,300 - $259,000 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. #LI-Remote
On your first day, we'll expect you to have:
Compensation At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $234,100 - $312,100 Zone B: $210,700 - $280,900 Zone C: $194,300 - $259,000 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. #LI-Remote
On your first day, we'll expect you to have:
- Expert-level proficiency with 8+ years experience in one or more prominent languages such as Java, Go or Python.
- Expert-level proficiency with 5+ years experience in public cloud offerings (AWS components like EC2, CloudFormation, RDS / Aurora, Caches, SQS - or equivalents, e.g. in GCP / Azure).
- Expert-level proficiency with 5+ years experience in designing and operating high-availability, fault-tolerant, scalable, distributed software in production.
- Excellent communication skills in written and verbal forms, and an ability to communicate complex technical issues to a range of technical and non-technical audiences (management, peers, clients).
- Experience in driving large, complex, cross-organizational initiatives from inception to completion.
- A desire to influence the company's technical direction - driving service architecture across multiple departments, each of which has hundreds of developers
- An ability and desire to mentor and coach engineers.
- Expertise in datastores (RDBMS, time-series-database, NoSql, search, analytics).
- Expertise in JVM, Garbage Collection, and Performance Tuning.
Top Skills
AWS
Azure
Datadog
Docker
Elk Stack
GCP
Grafana
Kubernetes
Prometheus
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