Senior Software Engineer (Saleshandy)
Role Overview
Saleshandy serves thousands of sales teams with an 850+ million contact lead database, continuous email sequences and mailbox warmup, and real-time analytics.
The work is a systems problem: searching hundreds of millions of records in under a second, processing event streams without loss or double-counting, and building fast interfaces over growing datasets.
The company is hiring a Tech Lead to own a significant part of that surface and the engineers who build it.
Key Skills for This Role
Full Job Posting
About Saleshandy
Saleshandy serves thousands of sales teams with an 850+ million contact lead database, continuous email sequences and mailbox warmup, and real-time analytics.
The work is a systems problem: searching hundreds of millions of records in under a second, processing event streams without loss or double-counting, and building fast interfaces over growing datasets.
The company is hiring a Tech Lead to own a significant part of that surface and the engineers who build it.
What You'll Do
- Own the architectural direction across your surfaces and the trade-offs behind every call.
- Design and ship the hardest work yourself, staying a builder.
- Run design reviews that catch races, partial failures, and everything that only breaks at volume.
- Define the shared patterns your team inherits and consolidate the ones built twice.
- Own operability: what you ship is observable, alerted, and runnable by more than one person.
- Grow the engineers on your team and give leadership an honest, evidence-backed read on each.
- Run interview loops and make the call on who joins.
- Own a customer-facing metric and cut work that is not moving it.
- Use AI coding agents as a core part of the workflow and own the quality bar that keeps their output honest.
What We're Looking For
- Distributed systems experience that is real: services that stay correct when they fail halfway and get retried, and event pipelines that do not lose or duplicate work.
- Data at volume: MySQL that holds up under genuine load, schema, indexing, and finding the query that is quietly costing you.
- Search and analytics at scale with OpenSearch or ClickHouse.
- Caching as a deliberate decision, not a reflex.
- Credibility across the stack, reviewing a data-heavy React surface's state architecture as seriously as a service boundary.
- You can run what you ship: containerised deploys, CI/CD, and production observability, finding intermittent timeouts in traces and metrics.
- AI fluency with judgment: using coding agents daily and having thought about what breaks when an entire team does.
- A track record with people: engineers you have led who got measurably better.
Our Stack
- Node.js, TypeScript, MySQL, Redis, Kafka, OpenSearch, React, Docker, AWS, Grafana/Tempo/Loki.
- Nice to have, not required: ClickHouse, MongoDB, Terraform.
Why Join Us
- Purpose: own a core part of a product used every working day by thousands of sales teams at scale.
- Growth: this seat leads to Staff Engineer or Engineering Manager depending on which half you love.
- Leverage: set how an entire team works with coding agents in an AI-first engineering culture.
- Ownership: architectural direction, a customer metric, and the team, not a ticket-routing role.
Culture Fit
- You still write code.
- You use AI as a multiplier.
- You make reversible calls without waiting for permission, write down why, and keep moving.
- You get genuine satisfaction out of someone else levelling up.
- You can tell someone their design is wrong or that they are not growing in a way they can hear.
- You raise a yellow early and thank the people who do the same.
- You debug with traces, logs, and metrics, never with guesswork.
- You would rather define the right pattern once than personally fix the same bug five times.
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