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SD
Education Assistant/Lunch Period Monitor/School Meals - Replacement Step #2
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- Full-time
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DS
Manager, Maintenance & Renewal Services
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Delta, BC
- Full-time
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SG
Electronics Engineer
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Ottawa, ON
- Full-time
Read and create electrical schematics, and interface control documents using CAD based software;
Added 31 mins ago
SI
Salesforce Developer
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Canada
- Full-time
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Advanced Electrical
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Added 1 hour ago
SS
Head of R&D
Seller Snap, Inc.
Brampton, ON · Regional Municipality of Peel, ON
- Full-time
Added 1 hour ago
NE
Finance Manager
Northern Employment Solutions Inc
ON · Ontario, Canada
- Full-time
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NE
Finance Manager
Northern Employment Solutions Inc
North Bay, ON
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CO
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Added 3 hours ago
R|
Executive Assistant
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 3 hours ago
MP
Accounts Receivable Manager
Miramar Property Management | Trivest Condominiums
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- Full-time
Added 3 hours ago
R|
Research Assistant - Public Engagement
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
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A
Founding Full-Stack Engineer
Alori
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- Full-time

Seller Snap, Inc.

Head of R&D

Brampton, ON, Canada
Regional Municipality of Peel, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Onsite | Full-time | Tel-Aviv, IL

About Seller Snap

Seller Snap is a SaaS company of up to 15 people, with a team of 6 developers and analysts. We help Amazon sellers price smarter, protect margins and grow through algorithmic repricing and data. Our algorithm runs around the clock, so reliability isn’t optional. It’s the product.

The Role

Reporting directly to the CEO, you’ll lead engineering, including DevOps and FinOps.

This role is as much hands-on as it is leadership. You’ll spend a large part of your week building with AI agents, reviewing their output, working on infrastructure and going deep on our pricing algorithm.

You’ll also coach the team, set clear priorities and keep delivery on track, making AI a default part of how we build, with practical guardrails and human review.

What You’ll Own

Production reliability: observability, alerting and incident management.
Team leadership, clear ownership, realistic planning with Product and regular updates to the CEO.
Work allocation and decisions on when to bring in outside help.
Architecture, infrastructure and data systems, alongside hands-on development.
Code review, testing, security testing and release practices.
AI-assisted development, balancing automation with human checks.
Cloud spend and infrastructure efficiency.

Must have

Experience leading AI-native engineering in a team, with clear guardrails.
Ownership of a SaaS product’s architecture, infrastructure and production operations.
Experience managing developers as a team lead, tech lead or engineering manager.
Strong hands-on backend experience, ideally in Python, building data-heavy systems and reviewing others’ work.
Production AWS experience and a good grasp of cost and reliability trade-offs.
PostgreSQL at scale: performance tuning, sharding and replication.
Experience building practical processes that improve accountability and predictable delivery.
Clear communication and fluent written and spoken English.

Nice to have

End-to-end ownership of an entire SaaS platform.
Production Kubernetes, infrastructure-as-code (CDK, Terraform or similar) and CI/CD experience.
Hands-on experience with EKS/ECS, Lambda, SQS/SNS, Kinesis, RDS, S3 or IAM.
Production experience with Go.
Experience with ClickHouse, Redshift, BigQuery, Snowflake or a similar OLAP store.

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More about this job

Responsibilities

Lead engineering, DevOps, and FinOps while remaining hands-on with development, infrastructure, and the pricing algorithm. Own production reliability, architecture, team planning and delivery, code quality, AI-assisted development practices, and cloud efficiency.

Requirements

Candidates need experience leading an AI-native engineering team and owning the architecture, infrastructure, and production operations of a SaaS product. The role also requires hands-on backend development, preferably in Python, production AWS experience, PostgreSQL scaling expertise, team leadership, and strong written and spoken English.

Skills

Engineering Leadership
AI-Assisted Development
Backend Development
Python
AWS
PostgreSQL
Production Operations
DevOps
FinOps
System Architecture
Infrastructure Management
Data Systems
Reliability Engineering
Incident Management
Code Review
Cloud Cost Optimization

Visa sponsorship

Not detected in the job text

Keywords

SaaS
AI Agents
AI-Assisted Development
Algorithmic Repricing
Pricing Algorithms
Python
AWS
PostgreSQL
DevOps
FinOps
Kubernetes
Infrastructure as Code
CDK
Terraform
CI/CD
EKS
ECS
Lambda
SQS
SNS
Kinesis
RDS
S3
IAM
Go
ClickHouse
Redshift
BigQuery
Snowflake
Observability

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