---
title: 'Software Engineer (Golang) - Attribute™ at DoiT'
canonical: 'https://feeny.ai/job/software-engineer-golang-attribute-doit-tel-aviv-n64wvr7wvrr1'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer (Golang) - Attribute™ at DoiT

- **Company:** DoiT
- **Location:** Tel Aviv, Israel
- **Work type:** onsite
- **Posted:** 2026-08-10
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/doitintl/jobs/7832904003

## Job description

Location Our Software Engineer will be an integral part of our Attribute Engineering teams.  This role is based fully on-site from the Attribute Tel Aviv office, located in Carlibach St 29 Tel Aviv, Israel.

## Who We Are

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

About [Attribute™](https://www.doit.com/products/attribute)

Attribute disrupted the AI and cloud space with FinOps Without Tagging. While organizations pause AI investment over uncontrolled spend and limited visibility, Attribute gives enterprises a way to see AI cost attributed to the exact customer, agent, or team driving it, based on actual consumption. Built by a team coming from the cybersecurity community and top global institutions, we've created the most advanced FinOps technology since the cloud itself. Attribute translates complex cloud and AI network signals into simple business insights, margins per customer, COGS, TCO, showback, making it immediately attractive to every DevOps and infrastructure buyer.

The Opportunity Attribute technology and services are heavily based on eBPF technology on the Attribute sensor side and extensive ETL and data processing on the Backend (based on GCP). In order to meet the increasing challenges of the growing business, we are seeking an experienced engineer who will be working on increasing our sensor capabilities, including building dissectors for various protocols, and increasing our capability for events collection. In addition you will be working hand in hand with our Product and CS teams.

## Responsibilities

- Co-own the roadmap and backlog. Own parts of the product backlog, collaborate on defining and scoping future vision of the product roadmap.
- Implementing features. From the proposal through spec and implementation to maintenance. You're expected to propose things that you think can be an excellent addition to the products
- Reviewing code. We believe in code reviews. And you will soon start reviewing pull requests as well!
- Improving the health of the codebase. We’re mindful of accumulating technical debt. We dedicate one day per week to housekeeping
- Providing feedback. The team plans and discusses the upcoming work. We provide feedback to each other, trying to find challenges and unknowns as early as possible

## Qualifications

- 3+ years of software development experience as a Software engineer
- Strong experience with Golang
- Significant experience building high-throughput, low-latency systems
- Familiarity with common communication protocols and willingness to work with packet processing
- Versatile developer who can learn new tools and technologies quickly, using AI effectively while applying sound engineering judgment
- Strong collaborator and independent contributor with excellent communication skills
- Growth-minded, pragmatic problem solver who simplifies complexity and iterates quickly from MVPs using data and feedback

Bonus Points

- Experience with Python
- Familiarity with cloud environments
- Experience with Linux systems and eBPF development

Are you a Do’er? Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our [core values](https://careers.doit.com/life-at-doit/).

Sounds too good to be true? Check out our[Glassdoor Page](https://www.glassdoor.com/Overview/Working-at-DoiT-International-EI_IE1972488.11,29.htm).

We thought so too, but we’re here and happy we hit that ‘apply’ button.

- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program

Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

## About DoiT

## Company Overview
- **One-liner**: DoiT delivers cloud cost management, optimization, and automation across AWS, Google Cloud, and Azure through an AI‑driven platform and embedded engineering support.
- **Entity Type**: Private (funding and stage not publicly disclosed)
- **Headquarters**: No physical headquarters – fully remote since founding; operations span 40+ countries.
- **Founded**: 2011
- **Founders**: Not publicly available (founder names not listed in provided sources)

## Core Business
- Primary industries: Cloud infrastructure, FinOps, multi‑cloud cost management, AI/ML operations
- Target customers: B2B – enterprise engineering teams, platform engineers, FinOps practitioners, CFOs
- Mission: “Deliver the true promise of the cloud” – turning cloud complexity into clarity and control

## Products & Services
- **[Cloud Intelligence™](https://www.doit.com/)**: AI‑powered FinOps platform that unifies cloud analytics, cost optimization, and governance across AWS, Google Cloud, and Azure. Includes anomaly detection, rightsizing, and auto‑optimization agents. (SaaS)
- **[PerfectScale](https://careers.doit.com/)**: Automated Kubernetes optimization platform that cuts cloud costs up to 50% while maintaining 99.99% availability. (SaaS)
- **[SELECT](https://careers.doit.com/)**: Snowflake cost optimization tool providing visibility into every workload, automatic savings of 10–20% on compute spend. (SaaS)
- **[CloudFlow](https://careers.doit.com/)**: No‑code workflow engine for building, scheduling, and triggering multi‑cloud automations. (SaaS)
- **[Cloud Diagrams](https://careers.doit.com/)**: Automatically generates interactive architecture diagrams from live cloud infrastructure. (SaaS)

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Managed cloud spend exceeded **$10 billion** in the last 20 months (as of 2025/2026); currently powers **$4 billion+** in managed spend.
- **Notable Investors/Partners**: AWS Premier Tier Services Partner; Google Cloud Premier Partner; Microsoft Gold Solutions Partner. (Investors not named in available sources)
- **Growth Signals**: 700+ employees across 40+ countries; 4,500 customers in 70+ countries; 89% positive interview experience; 4/5 Glassdoor rating; recognized as a 2025 BuiltIn Best Place to Work for Remote‑First.

## Competitive Advantages
- **Fully remote‑first since day one** – no HQ, no return‑to‑office plan; async‑by‑default culture.
- **Forward Deployed Engineers (FDEs)** – senior cloud architects embedded directly with customer teams to drive optimization outcomes.
- **AI‑first product and internal tooling** – ML models and LLMs power cost optimization, anomaly detection, and auto‑remediation; every employee gets unlimited access to Cursor, Claude Code, and Codex.
- **Multi‑cloud depth** – deep partnerships and native support for AWS, GCP, and Azure, plus Snowflake.
- **Automation‑driven** – platform acts on recommendations automatically, achieving 10x more implementations than dashboard‑only tools.

## Strategic Focus
- Continue building out the Cloud Intelligence platform and expanding AI‑agent capabilities that research, implement, and optimize cloud spend autonomously.
- Grow the product suite organically and through acquisitions (e.g., PerfectScale, SELECT) to cover every major cloud cost surface.
- Hire relentlessly curious builders who care about cloud infrastructure and driving measurable business outcomes.

## Why Work Here
- **Culture**: Fully remote, async, no surveillance (no time trackers). “Loosely coupled, highly aligned” – teams own outcomes, not tasks. Engineers ship to production in their first week.
- **Policy**: 100% remote‑first; no mandatory office hours; unlimited PTO with dedicated mental health and volunteer days; flexible hours across all time zones.
- **Benefits**: Competitive base pay, real equity (stock options), annual learning stipend, cloud certification funding, conference budgets, home office stipend, comprehensive health coverage (medical, dental, vision, mental health).
- **Engineering culture**: “No ticket culture” – everyone sees the full customer impact and makes decisions. Internal hackathons, AI‑focused Slack channels, and freedom to experiment.
- **AI tooling**: Unlimited licenses for Cursor, Claude Code, Codex; internal AI automation built by the Business Systems team.

## Sources
1. [doit.com/about](https://www.doit.com/about) – Company overview, founding year, mission, security, partnerships, customer stats
2. [careers.doit.com](https://careers.doit.com/) – Product descriptions (PerfectScale, SELECT, CloudFlow, Cloud Diagrams), Glassdoor reviews, benefits, AI‑first culture
3. [doit.com](https://www.doit.com/) – Cloud Intelligence platform details, FDEs, auto‑optimization, managed spend metrics
4. [careers.doit.com/life-at-doit](https://careers.doit.com/life-at-doit) – Values, remote culture, team size, onboarding, AI tools
5. [careers.doit.com/remote-work](https://careers.doit.com/remote-work) – Remote‑first philosophy, async work, no surveillance, AMA details, awards

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