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greenhouse

Senior Software Engineer, Backend (Online Storage)

Affirm
Remote, USA
Senior · 5+ years experience
Remote
Discovered 3 weeks ago
PythonAWSKubernetesSQL

Full Job Posting

What you’ll do

You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provisioning, failover, backups and upgrades end to end.

You will design and execute reliability-focused schema and data migrations across multi-tenant database clusters, with zero downtime for the products that depend on them.

You will own the networking stack that connects services to storage on Kubernetes, including connection proxies such as ProxySQL, and tune it for latency, resilience and failover.

You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.

You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.

You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.

You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.

You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.

You will help develop talent on your team by providing feedback and guidance, and leading by example.

What we look for

  • You have a total of 5+ years of experience as a software engineer.
  • You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, Terraform and Kubernetes.
  • You have in-depth, hands-on experience with large-scale database deployments in a production environment.
  • You have expertise in distributed databases and database technologies such as MySQL(Preferred), TiDB(Preferred), Postgres, Spanner, Vitess, CockroachDB etc.
  • Solid understanding of distributed database architecture, data modeling, and performance tuning. Particularly, expertise in SQL tuning and performance optimization techniques.
  • You have expertise in database benchmarking, load testing, and capacity planning.
  • You are familiar with connection poolers and proxies such as ProxySQL, RDS Proxy, Pg Bouncer, PgDog etc.
  • You have built control-plane or automation tooling for databases, such as provisioning, failover, upgrades or schema migrations, ideally on Kubernetes.
  • You have executed zero-downtime migrations and major version upgrades on production databases, and have built CLI tooling or runbooks to make those procedures repeatable.
  • You understand Kubernetes networking, service discovery and TLS well enough to debug connection and failover problems between services and databases.
  • You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
  • You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
  • Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
  • You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
  • This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
  • Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
  • USA base pay range (CA, WA, NY, NJ, CT) per year: $ 195,000 - 255,000
  • USA base pay range (all other U.S. states) per year: $173,000-233,000 #LI-Remote
  • Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
  • Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
  • We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
  • For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
  • By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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