Senior Platform Engineer, Datastores
Posted:
29 October 2026 (Yesterday)
Application Deadline:
26 January 2027
Vacancies:
1 Vacancy
Department:
Job Summary
About Rootly
Customers love Rootly. Some of the fastest-growing companies around the world such as NVIDIA DoorDash Uber Canva Tripadvisor Squarespace and more rely on Rootly to power their critical incident management process. They obsess over our delightful enterprise-ready platform and unique partnership model. See why our customers have reviewed us 5 stars on G2.
Investors love Rootly. We are backed by some of the most respected funds in the world from Y Combinator to operators like the CTO of Dropbox and GitHub. Wed be happy to disclose our entire funding and profitability picture live during the interview. As a culture we relentlessly put transparency first. We conduct monthly financial reviews as a team so everyone has a pulse on the health of the business and publish what we are building in our weekly changelog.
About the Role
As a Senior Platform Engineer focused on datastores youll be the teams expert on PostgreSQL OpenSearch Kafka and Redis. Youll find and fix the locking pooling and query problems that can slow Rootly down under load and youll raise the whole engineering teams depth through pairing reviews and runbooks rather than owning the datastores alone.
Like everyone on Platform youll also share responsibility for the platform as a whole and take your turn on call. Youll work closely with our platform engineering leader and with product engineers to shape how their features store and query data.
What Youll Do
- Own the performance and reliability of PostgreSQL OpenSearch and Redis in production.
- Find and fix lock contention connection pooling limits slow queries and job fan-out that degrade under load.
- Lead capacity planning and load testing so we know our limits before a customers worst day finds them.
- Set standards for schema changes migrations indexing and query patterns and build checks that catch problems before they ship.
- Review data-heavy changes from product teams and teach the patterns behind your feedback.
- Build the dashboards runbooks and alerts that let any engineer debug a datastore incident.
- Partner on multi-region data replication and recovery with the Infrastructure side of Platform.
What Youll Need
We care about impact ownership and technical judgement. Degrees and big-name logos are not required. What matters is your ability to execute influence and teach.
Minimum Qualifications
- 5 years building and running production systems with significant time on datastore performance and reliability.
- Experience supporting multi-tenant systems at scale including tenant isolation noisy-neighbour protection and keeping one customers traffic spike from degrading service for everyone else.
- Deep knowledge of PostgreSQL internals: locking MVCC query plans indexing vacuum and connection pooling.
- Experience running OpenSearch or Elasticsearch at scale.
- Experience with capacity planning and load testing for web services.
- You fix the class of problem not the instance and leave behind tools and docs others use.
- You write production-grade software and youre comfortable working in an application codebase not only in the database.
Preferred Qualifications
- Experience with Rails ActiveRecord and Sidekiq at scale.
- Experience with Redis as a queue and cache under heavy load.
- Experience with cross-region replication and database failover.
- Experience with Kafka or DynamoDB.
What Success Looks Like
By 6 to 12 months you will have:
- Fixed the top locking pooling and slow-query issues behind our historical SEV0 incidents.
- Established a load testing baseline and capacity plan so we know our limits before customers find them.
- Put schema change and migration standards in place backed by automated checks.
- Built dashboards runbooks and alerts that let any engineer on call debug a datastore incident.
- Spread datastore depth across the team so reliability doesnt depend on any one person.
Our Tech Stack
- Backend: Ruby on Rails PostgreSQL OpenSearch Redis Sidekiq AWS Lambda ECS Kafka DynamoDB
- Frontend: Turbo Stimulus ViewComponents
- Infrastructure: AWS OpenTofu/Terraform (IaC) Datadog
Why Rootly
Were not just another startup. Were building something category-defining and want teammates who crave ownership love solving hard problems and thrive in a high-bar high-impact environment.
Heres what you can expect when you join Rootly:
- Competitive compensation and early equity in a fast-growing venture-backed company.
- Comprehensive medical dental and vision coverage.
- 3 weeks of vacation plus unlimited sick and mental health days and a company-wide end-of-year shutdown to recharge.
- $500 stipend for home office setup.
- Unlimited token usage and access to AI tools.
- A fast-moving high-impact environment where your leadership and ideas directly shape the future of the company.
This is a newly created vacancy and we may hire more than one person to fill it.
As we build out the team we may use AI to support parts of our interview process like reviewing assessments but its a tool that helps our people not a substitute for their judgement.
If this sounds like the kind of challenge and opportunity youre looking for apply now and lets build something great together.
Accommodations are available on request at any stage of our recruitment process. Contact and we will work with you to meet your needs confidentially.
Rootly is an equal opportunity employer. We do not discriminate on the basis of race ancestry place of origin colour ethnic origin citizenship creed sex sexual orientation gender identity gender expression age record of offences marital status family status disability or any other ground protected by the Ontario Human Rights Code or applicable law.
Required Experience:
Senior IC