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Sergey Bar

QA Tech Lead & AI Automation Engineer

Most teams test software. I make sure it deserves to ship.

Sergey Bar

Experience across teams at

  • Israeli Air Force
  • Nova
  • Teledyne FLIR
  • Enabley

About me

I was the first and only QA engineer on a product twice, and built the quality function from zero both times: strategy, gates, release criteria, documentation, automation.

the record at a glance

Position
QA Tech Lead & AI Automation Engineer
Based
Israel
Sectors
DefenseSemiconductor MetrologyEnterprise SecuritySaaS
Top skills
Team LeadershipQuality AssuranceTest Automation
Instruments
Embedded · HW/SWPythonPlaywrightCI/CD
Languages
Hebrew · NativeEnglish · FluentRussian · Conversational
Open to
QA RolesProduct Management

the record in numbers

Five figures from the record

years in software QA
5years in software QASince 2021.
major releases
4major releasesDelivered on United VMS at Teledyne FLIR with zero critical production defects.
times first QA hire
2×times first QA hireFirst QA hire twice: at Enabley, and as sole quality owner of a security-critical defense platform.
stability improvement
40%stability improvementA critical memory leak root-caused with dotMemory and dotTrace on the FLIR platform.
faster issue resolution
20%faster issue resolutionOptimised bug-reporting pipelines plus cross-team triage at FLIR.

Experience

Five roles, most recent first: role, period, scope and outcomes. The full record, with references on request, is on LinkedIn.

Israeli Air Force

Senior QA Engineer · Outsourced civilian contractor

2025–Present

A full-stack data analysis platform in a security-critical environment, with zero pre-existing QA infrastructure.

Responsibilities and outcomes

Responsibilities

  • Sole quality owner, from requirements intake through to release sign-off
  • Built the complete quality lifecycle from zero: test strategy, quality requirements, coverage planning, quality gates and release criteria
  • Designed the platform's three-tier test pyramid from scratch (unit, integration and end to end) with full backend and frontend suites
  • Wired Playwright UI automation and API tests in Python and TypeScript into the pipeline as the regression gate for every monthly sprint release
  • Designed the operational project-management system for cross-team visibility
  • Covered the database beneath the platform as well as the application, alongside the data team

Outcomes

  • Blocked a release-critical calculation defect before rollout through AI-assisted code review and deep SQL validation, cross-referencing API responses against database records
  • Reviewed requirements and architecture docs with developers and project leads before implementation, converting ambiguity into quality requirements and prioritised coverage
  • Set the team's standards for test design, defect reporting and severity, and served as the single quality point of contact on release readiness and triage

Nova Ltd.

QA Engineer · Outsourced contractor

2025

Semiconductor metrology and process-control software deployed to tier-1 fabs including Samsung, Intel and TSMC. A maternity-cover role.

Responsibilities and outcomes

Responsibilities

  • Managed the defect lifecycle in Azure DevOps with full traceability
  • Drove root-cause analysis with R&D across software layers and hardware interfaces

Outcomes

  • Verified end-to-end measurement and process-control workflows on software interfacing directly with fab machines in production-equivalent environments
  • Tested message-driven architectures over RabbitMQ across microservices, protecting communication integrity
  • Reproduced failures on demand across distributed client-server components (Linux/Windows), isolated them to the responsible layer, and drove them through to resolution

Teledyne FLIR

QA Engineer, then QA Technical Lead and Scrum Master

2022–2025

United VMS (Latitude, Horizon and Meridian), an enterprise video management and security platform with thousands of installations across defense, industrial and commercial sectors, at roughly $30M in annual revenue.

Responsibilities and outcomes

Responsibilities

  • Led 4 QA engineers at 50% hands-on across software, firmware and hardware integration
  • Ran CI/CD quality integration through Jenkins: automated gates, build stability and flakiness tracking
  • Defined and tracked QA KPIs for risk-based prioritisation
  • Served as Scrum Master

Outcomes

  • 4 major releases delivered with zero critical production defects
  • Root-caused a critical memory leak with dotMemory and dotTrace, improving stability and performance by 40%
  • Cut issue-resolution time by 20% through optimised bug-reporting pipelines and cross-team triage
  • Ran QA across 12+ concurrent product lines spanning embedded and web components
  • Validated computer-vision and ML algorithms, from video analytics to motion detection, across distributed camera and sensor deployments
  • Recognised as the product Subject Matter Expert that R&D and Product relied on; ran developer knowledge-sharing sessions and represented QA in client-facing sales events
  • Selected by Product leadership to help design the next-generation security platform

Enabley

Junior QA Engineer

2021–2022

An enterprise mobile-first training and knowledge platform with 1M+ active users across 25 languages, built on a microservices architecture.

Responsibilities and outcomes

Responsibilities

  • First QA hire: wrote the product's first test plans, test cases and QA documentation (STP, STD)
  • Set the bug reporting format: reproduction steps, severity, expected versus actual

Outcomes

  • Validated REST APIs with Postman and tested GraphQL queries for data accuracy across the full stack
  • Executed manual functional, regression and exploratory testing to full requirement coverage across web and mobile-first clients
  • Bug reporting carried structured reproduction steps and severity classification, which is what made cross-team triage fast

Education and languages

Education

  • QA EngineerSVCollege 2020–2021
  • Project ManagementElevation 2026

Languages

  • HebrewNative
  • EnglishFluent
  • RussianConversational

Toolbox

Grouped by the job they do. Everything here is something I have actually used. Search covers all 12 groups.

Test automation

  • Playwright
  • Playwright CLI
  • pytest
  • Stryker
  • Appium
  • Maestro
  • Ranorex
  • SoapUI

Languages

  • TypeScript
  • JavaScript
  • Python
  • SQL
  • Java
  • Bash
  • PowerShell
  • Node.js
  • HTML
  • CSS

AI engineering and coding agents

  • AI Engineering
  • MCP
  • Playwright MCP
  • RAG
  • Ollama
  • Claude Code
  • Codex
  • OpenCode
  • Kiro
  • Kilo Code
  • Hermes
  • Google Antigravity

API, data and messaging

  • REST
  • GraphQL
  • Postman
  • Bruno
  • Swagger
  • RabbitMQ
  • PostgreSQL
  • Oracle
  • DBeaver
  • JSON
  • XML

CI/CD, cloud and dev tooling

  • GitHub Actions
  • Jenkins
  • Git
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • GCP
  • Visual Studio Code
  • IntelliJ IDEA

Performance, debugging and observability

  • k6
  • dotMemory
  • dotTrace
  • Process Explorer
  • Windows Performance Monitor
  • Chrome DevTools
  • Sentry
  • Apollo

Recommendations

14 LinkedIn recommendations from managers and colleagues, transcribed as written. Three of them first:

Noam Tal

ALM & DevOps Consultant | Automation & Systems Integration at Self Employed

Since we're being closed, I am pleased to write this recommendation for Sergey, who has been an integral part of our QA team. He consistently demonstrates a strong work ethic and a genuine passion for ensuring product quality.

Read the full recommendationShow less

Throughout the years since I hired Sergey, he has developed the ability to prioritize what truly matters while letting minor issues take a back seat. In addition, Sergey takes ownership of his work. He proactively identifies areas for process improvements and suggests practical solutions. His commitment to continuous learning ensures that he stays up to date with industry trends and best practices.

Managed Sergey directly

September 7, 2024

Oded Levitte

Senior Project Manager | AI & Video Analytics | QA-Grounded Delivery | Author, The Next Recognition | PMP · ISTQB · AWS

I've had the pleasure of working with Sergey in his capacity as QA engineer and later as QA Technical Lead. He is extremely professional, curious, and open minded.

Read the full recommendationShow less

During our work together Sergey came up with several innovative ideas to be implemented in the VMS and the cameras. Sergey will be a valuable team member and leader anywhere.

Worked on the same team

August 29, 2024

Ayelet Yitzhak

Backend Engineer

I had the privilege of working with Sergey in his role as a QA Engineer. Sergey is a fast learner with strong analytical skills.

Read the full recommendationShow less

He mastered our complex system and its full functionality in a remarkably short time. He thoroughly investigated any task to ensure no detail was missed and consistently came up with innovative ideas to improve our product. I am confident that his professional expertise, dedication and creativity would make him an invaluable asset to any organization.

Worked on the same team

September 10, 2024

Read the other 11Show the featured three

Avia Yohai

C# Software engineer

Sergey arrived to our QA team at Flir almost 3 years ago. Some of its most prominent character traits- First, inspiring quickness (also helped him finding bugs - as sometimes the computer couldn't keep up :)) And in addition - constantly thinks outside the box, offers lots of ideas and points for improvement.

Read the full recommendationShow less

I wish you the best of luck!

Worked on the same team

September 11, 2024

Pavel Kagansky

Senior Software Engineer at Nayax

I have worked with Sergey and I highly recommend him, he is one of the few great QA engineers I’ve known. He has an ability to find various bugs in our products, both critical ones and the ones affecting quality of life of the product users.

Read the full recommendationShow less

He understands the product extremely well and knows how it can be used by our customers.

Worked on the same team

August 31, 2024

Excerpt · Read the full recommendation on LinkedIn.

Mayan Segev

Senior QA Engineer at FLIR Systems

I worked with Sergey in QA Team at Teledyne / FLIR. Sergey is a skilled QA Engineer, fast-learner, initiative and has high ability to solve problems. I recommend Sergey to anyone looking for a QA Engineer to join his team.

Worked on the same team

August 31, 2024

Roey Alon

Senior Software QA Engineer | Customer Success Engineer | End-to-End Production Investigations | Root Cause Analysis | Broadcast, Embedded & Networking Systems

I’ve had the pleasure of working with Sergey, although we were on different teams, I can confidently say that he is an exceptional software QA engineer. He consistently demonstrates a deep understanding of both the technical and functional fundamentals.

Read the full recommendationShow less

In addition to his technical expertise, he is a team player who is always willing to go the extra mile to help others.

Worked on different teams

August 30, 2024

Excerpt · Read the full recommendation on LinkedIn.

Yossi Kondo

Founder & Head of Practice @ Kondo & Co CPA | Tax Advisory, Business Tax Planning

As Sergey's commanding officer in the IDF reserves, I've had the privilege of seeing his exceptional qualities firsthand. Sergey has consistently demonstrated outstanding leadership, dedication, and problem-solving abilities under pressure.

Read the full recommendationShow less

His strong work ethic and teamwork skills have made him an invaluable member of my unit. I highly recommend Sergey for any role he pursues—any organization would be lucky to have him.

Worked at different companies; commanding officer in the IDF reserves

August 28, 2024

Yair Schef

R&D Team Leader

Working with Sergey has been a pleasure. He is a quick learner and an efficient implementer.

Read the full recommendationShow less

Sergey consistently maintains a positive attitude and brings a high level of enthusiasm to every project. His dedication and proactive approach make him an invaluable team member.

Worked on the same team

August 28, 2024

Yaron Bagrish

Head of Engineering | Leading Innovation & GenAI Initiatives | Transforming Technology

I had the privilege of working with Sergey at FLIR and having him in my organization. Sergey is a talented individual who blends knowledge and energy to successfully navigate challenges.

Read the full recommendationShow less

He is always eager to learn, listen, and adapt. I would be delighted to work with him again in the future.

Worked on the same team

August 27, 2024

Shay Bar

QA Engineer at The5ers

Sergey is a highly experienced QA engineer with vast technical knowledge and passion to explore and solve issues. Always seeing the big picture and willing to help. An asset for any team. I would highly recommend him!

Worked on the same team

August 27, 2024

Tomer Tunitsky

Senior Product Manager at Taboola

I've worked closely with Sergey for 1.5 years as a QA Engineer. Sergey has a deep understanding of the product and ensures high-quality releases.

Read the full recommendationShow less

He's a dedicated and detail-oriented team player, always willing to help with a positive attitude. I highly recommend Sergey for any QA role.

Worked on the same team

August 27, 2024

Nir Amar

Senior QA engineer

I was working with Sergey for almost 2 years at the same QA team at Teledyne-FLIR, and I really impressed by his strong technical abilities and his commitment and high work standards. In addition Sergey have a great personality that is easy to connect with which helps to make a strong team with a great atmosphere.

Worked on the same team

August 26, 2024

Omer Fefer

Technical Account Manager

I am pleased to recommend Sergey for the position of Quality Assurance Specialist. Sergey has been an invaluable member of our team at FLIR for the last few years, consistently demonstrating exceptional QA skills and a keen eye for detail.

Read the full recommendationShow less

Sergey excels in identifying and resolving issues efficiently, and their proficiency with various testing tools has greatly contributed to our project’s success.

Worked on the same team

August 26, 2024

Excerpt · Read the full recommendation on LinkedIn.

View them on LinkedIn

Projects

Two open-source products I built and maintain. Both are on GitHub, and both state their own limits. A tool that rounds itself up is not worth reading.

Verification trust engine

Mjolnir

79 rules73 of them carry a measured false-positive rate

v6.0.0 published

Your tests are lying to you. It proves it.

How it works, and the numbersShow less

An open-source static scanner that reads test suites and CI workflows, weighs every finding by the evidence behind it, and scores whether the verification can be trusted. A green checkmark is not evidence, and the failure that costs the most is a pipeline that cannot go red at all.

downloads, 30 days
805
downloads, all time
7,028
rules
79
with measured FP rate
73 of 79
telemetry
none

Inside a recorded scan

scan 5c84d9acfe12 · engine 2.0.0
worthiness
80/100
verdict
WORTHY
findings
18
gate exit
2
Open on GitHubgithub.com/Sergey-Bar/Mjolnir

Self-hosted QA control plane

Lupin

3 → 1test reporters (Playwright, JUnit, legacy) into one result model

Every test. One clear answer.

How it works, and the numbersShow less

The layer between test producers and the people who have to trust them. One result model for Playwright, JUnit, k6 and OWASP ZAP, with each run, retry and artifact kept together. Quality gates answer unknown or not configured instead of quietly passing, and flaky tests go into an audited quarantine: set aside, never hidden.

inputs
Playwright · JUnit · k6 · ZAP
retries
recorded as flaky
install
Docker only
licence
MIT
How evidence moves through Lupin
  1. Test producersPlaywright · JUnit · k6 · ZAP
  2. Shared result modelResults and persisted run evidence
  3. Quality gatesPolicies that inform release decisions

Architecture overview. Capability limits are listed above and in the repository.

Open on GitHubgithub.com/Sergey-Bar/Lupin

Case studies

Two pieces of work, each told the same way: the problem, what I did, the evidence behind it, and the outcome. Every figure is read from the record, not retyped.

case 1 of 2

Quality from zero on a security-critical platform

0 → 3tiers of tests, built from no QA infrastructure

Problem
A security-critical platform with zero pre-existing QA infrastructure, one quality owner, and a release-critical calculation defect on its way to rollout.
Outcome
A three-tier pyramid with full backend and frontend suites, a regression gate in the pipeline for every sprint release, and one quality point of contact for release readiness.
How, and the evidenceShow less

A full-stack data analysis platform in a security-critical environment, with zero pre-existing QA infrastructure.

Approach
  • Built the complete quality lifecycle from zero: test strategy, quality requirements, coverage planning, quality gates and release criteria
  • Designed the platform's three-tier test pyramid from scratch (unit, integration and end to end) with full backend and frontend suites
  • Wired Playwright UI automation and API tests in Python and TypeScript into the pipeline as the regression gate for every monthly sprint release
  • Reviewed requirements and architecture docs with developers and project leads before implementation, converting ambiguity into quality requirements and prioritised coverage
Evidence
  • The defect that was blockedBlocked a release-critical calculation defect before rollout through AI-assisted code review and deep SQL validation, cross-referencing API responses against database records
  • The standards that remainSet the team's standards for test design, defect reporting and severity, and served as the single quality point of contact on release readiness and triage

case 2 of 2

A memory leak root-caused on a $30M video platform

40%stability improvement

Problem
A critical memory leak on an enterprise video platform with thousands of installations, found while leading QA across software, firmware and hardware integration.
Outcome
4 major releases delivered with zero critical production defects, and a 40% stability improvement from one root cause found with the right instruments.
How, and the evidenceShow less

United VMS (Latitude, Horizon and Meridian), an enterprise video management and security platform with thousands of installations across defense, industrial and commercial sectors, at roughly $30M in annual revenue.

Approach
  • Root-caused a critical memory leak with dotMemory and dotTrace, improving stability and performance by 40%
  • Ran CI/CD quality integration through Jenkins: automated gates, build stability and flakiness tracking
  • Cut issue-resolution time by 20% through optimised bug-reporting pipelines and cross-team triage
Evidence
  • 40% stability improvementA critical memory leak root-caused with dotMemory and dotTrace on the FLIR platform.
  • 4 major releasesDelivered on United VMS at Teledyne FLIR with zero critical production defects.

This site is tested the same way: a Playwright suite runs every section, the ask bar and an accessibility audit on each deploy, and publishes the latest report.

Contact

LinkedIn is the route, and the work lives on GitHub. There is no contact form. My CV is sent on request: write to Sergeybaris@gmail.com or message me on LinkedIn, and it comes back as a file rather than sitting here for anyone to lift.

Something fun

A stress test you are allowed to fail. It is for after hours, and it is timed.

After hours

Wreck the release machine

A mock early-2000s desktop, bugs.exe and release-gate.yml included, and nine tools to take it down to zero integrity. Streaks are named the way QA names them, from Smoke test to Chaos monkey, and a run climbs from Intern to Legend.

  • Hammer
  • Chain-saw
  • Machine gun
  • Flame-thrower
  • Color-thrower
  • Phaser
  • Stamp
  • Termites
  • Washing
  • Tab next tool
  • Esc back to the page

It loads only when pressed. Nothing is saved, nothing is sent.

Answers here are written by hand, at maximum effort.