You will
Build internal tooling, services and APIs that let engineers provision, change, migrate and troubleshoot their databases, topics and caches safely, without waiting on us.
Replace manual operational work with automation: upgrades, migrations, access requests, backups and restores.
Help operate and harden our production data stores and take part in the team's on-call rotation.
Partner with product engineering teams on schema design, migrations, query performance and ORM usage, bringing the perspective of someone who has done it from the application side.
Manage infrastructure as code with Terraform and improve CI/CD pipelines using GitHub Actions.
Improve observability across our stateful systems, instrumenting services and building alerts that teams can act on.
Use generative AI to help build and maintain internal services, including agentic services.
Champion best practices around reliability, safe change, security and platform adoption. Slice works on a "you build it, you run it" model, so our job is to give teams the tooling and expertise to run their systems well, not to run them on their behalf.
Our Technology
Our platform is constantly evolving, but some of the technologies you'll work with include:
PostgreSQL (AWS RDS)
Python
Terraform
AWS
GitHub & GitHub Actions
Datadog
Kafka (Amazon MSK) & Debezium
Apache Iceberg on S3, with Glue, Athena & EMR
Airflow (MWAA) & dbt
Generative AI (Claude Code & AI Agents)
Most of our tooling is written in Python, but strong engineers from any general-purpose language, such as Go or Java, are just as welcome. More important than experience with every individual tool is solid engineering fundamentals and the curiosity to go deep on data infrastructure.
Who You Are
We're looking for backend engineers who have owned production systems end to end, including the database underneath them, and who now want to spend their time making other engineers more productive.
The ideal candidate has
Strong backend engineering
You write production-quality software in a general-purpose language such as Python, Go or Java. You've built services and APIs, you test what you ship, and you give and receive thoughtful code review.
Relational databases from the application side
You've run a relational database in production. You've designed schemas, shipped migrations on a busy database, chased a slow query from the ORM to the query plan, and added the right index to fix it.
Distributed systems fundamentals
You understand retries, idempotency, consistency trade-offs and how systems fail, and you design with those failure modes in mind.
Cloud and infrastructure as code
You have solid AWS experience, including IAM, RDS and networking basics, and you manage infrastructure with Terraform.
CI/CD
You've built and maintained delivery pipelines, ideally with GitHub Actions.
Operational excellence
You instrument what you build and write alerts worth acting on. You've been on call for production systems, and incident response and blameless postmortems are part of how you work.
An internal tooling mindset
You've built things for other engineers: CLIs, APIs, automation. You think in reusable systems rather than one-off fixes, and you know that a tool nobody adopts hasn't solved anything.
The Hiring Process
Application.
30-minute introductory conversation.
60-minute conversation with department management.
60-minute technical interview with future peers and team members.
Offer.
We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.
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