We are the Compute team, responsible for providing Twitter Engineering with a scalable, reliable and performant compute platform.
Our infrastructure powers most of the services behind Twitter, Twitters revenue-generating businesses, and a variety of internal infrastructure.
Twitters 1,000+ engineers use our compute platform to launch and operate their services on a fleet of over 100,000 physical and virtual machines.
The Aurora Mesos teams primary focus is scaling and operating the company's largest compute clusters, which are managed using Apache Aurora and Apache Mesos.
This includes providing lower-level interoperation between Mesos and the datacenter stack together with the user-facing aspects of the Aurora / Mesos compute platform.
Our systems drive availability and infrastructure efficiency for the Twitter platform. We need to expand Aurora and Mesos capabilities beyond the industry standards to meet the growing scale at Twitter.
As a Software Engineer on the Aurora Mesos team, youll :
Build the tooling and processes that Twitter engineers use to develop, deploy, and operate their services.
Optimize Aurora / Mesos cluster scheduling in the thousands of nodes.
Be an active participant in our systems design and review processes.
Scope out, participate in, and lead cross-functional projects.
Develop our team through mentorship and knowledge sharing.
Influence the teams roadmap based on feedback from our internal customers.
BA / BSc degree in Computer Science or equivalent practical experience.
Strong development skills in at least one programming language.
Hands-on experience designing, developing, operating, and debugging distributed systems.
2+ years of experience in Infrastructure or Backend development.
We encourage early career professionals to apply if they have at least 6 months of industry experience including internships.
While not required, experience with any of the following is a plus!
Production experience with Python, Java, or C++.
Experience developing, operating, and debugging high traffic production systems.
Experience building scalable distributed systems.
Familiarity with Apache Mesos and Aurora internals (architecture and / or codebase).
Experience with container-centric orchestration systems (Mesos, Nomad, etc).
Experience working with physical infrastructure (bare metal in data centers).
Familiarity with Linux or similar operating systems.
Twitter is whats happening and what people are talking about right now. For us, life's not about a job, it's about purpose.
We believe real change starts with a conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.
Additional Information :
A few other things we value :
Challenge - Come to be challenged, learn, and thrive as a Talent Advisor.
Diversity - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.
Work, Life, Balance - We work hard, but we believe with hard work should come balance.
Notice (Colorado Equal Pay for Equal Work Act)
The expected salary range for this role to be performed in Colorado is USD$128,000.00 - USD$179,000.00. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.
This range may be modified in the future.
This job is also eligible for participation in Twitters Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.
Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave.
Twitter's benefits prioritize employee wellness and progressive support to our diverse workforce.
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
San Francisco applicants : Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.