Location: Portugal, Remote/Portugal
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Belgrade, Remote/Serbia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Armenia, Remote/Armenia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Tbilisi, Remote/Georgia
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLand is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: Belgrade, Remote
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product.
Key Responsibilities
Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department);
Monitoring the operation of the decision-making system and assessing the effect of the implemented changes;
Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy;
Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors.
During the probationary period, you will be evaluated based on:
Quality of changes implementation (including errors identified in production).
Speed and productivity compared with average team performance.
Quality of interaction with team members and stakeholders.
Skills, Knowledge & Expertise
0.5+ years of relevant experience as a QA or SDET working on tech/fintech products.
Basic knowledge of GoLang is desirable;
Good knowledge of testing;
Good knowledge of English.
Ability to work in a stressful environment typical of startups.
Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You will work on the development of software systems and reusable components that support QRT’s research and technology infrastructure. The role focuses on solving complex engineering challenges involving system performance, concurrency and reliability. You will collaborate with Quantitative Researchers and Software Engineers to develop technical solutions, contribute to architectural decisions and improve existing systems.
Your future role within QRT
Design, develop and maintain reliable, high performance software systems and reusable components
Take ownership of technical design and implementation, contributing to architectural decisions and the evolution of existing systems
Solve complex engineering challenges involving concurrency, memory management, system performance and reliability
Investigate and resolve production issues, identifying underlying causes and implementing improvements to system robustness and efficiency
Collaborate with Quantitative Researchers and Software Engineers to understand requirements and deliver effective technical solutions
Contribute to code reviews, automated testing and software engineering best practices to maintain code quality
Your present skillset
Strong proficiency in at least one programming language such as Python, Rust, C++, Go or Java
Excellent computer science fundamentals, particularly algorithms, data structures and system design
Experience designing, developing and maintaining software systems, with ownership of technical implementation
Strong understanding of multithreading, asynchronous I/O, memory management and performance optimisation
Experience developing reliable production software, including debugging, testing and performance analysis
Proficiency working in Linux environments
Strong analytical and problem solving skills, with the ability to investigate complex technical challenges independently
Excellent communication skills and ability to collaborate effectively with researchers and engineering teams
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Responsibilities:
— Build and enhance biometrics, algorithms, and data-driven insights for the Mira App
— Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities
— Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations
— Collaborate with Product, Design, Engineering, R&D, and Real-World Evidence Scientist teams to translate data into app features and evidence-backed insights
— Support real-world evidence and clinical research projects through data extraction, exploratory analysis, modeling, and validation
— Define model performance and validation frameworks, addressing uncertainty, subgroup performance, missing data, and edge cases
— Improve data quality by identifying instrumentation gaps and recommending better data capture in the app
— Document model logic, assumptions, limitations, and appropriate use cases clearly for both technical and non-technical teams
— Work with Engineering to transition prototypes into production-ready app features or data pipelines
Requirements:
— Strong skills in Python and data science
— Preferred experience with SQL and working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data
— Experience with model interpretability and explainability methods such as SHAP and LIME
— Strong judgment in model validation, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments
— Ability to translate data into user-facing product features, metrics, recommendations, or algorithms
— Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions
— Strong communication skills with both technical and non-technical stakeholders
— High ownership, startup speed, and comfort working with ambiguity
— Good scientific judgment, including distinguishing product insights from clinical or marketing claims
— Experience moving machine learning or algorithmic features toward production
Benefits:
— Remote position
— 40-hour workweek
— Flexible working hours
— Occasional overlap with the US team
— Competitive salary with performance-based bonus system tied to OKRs
— Fully remote environment supporting autonomy, ownership, and independence
— Real opportunities for career growth, including the ability to shape, build, and develop teams as the company scales
Location: Warsaw, Poland
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU?
Metadata is a key component of the Box Intelligent Cloud, enabling customers to add additional context to their files and transforming them into actionable content. In the current iteration, it's used to organize, discover, annotate, secure, and retain content. Metadata Platform adoption continues to grow exponentially as more Box products, like Shield, Relay, Forms, Sign, Governance, etc, rely on it internally and as our customers continue to build custom applications leveraging it.
But, we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Software Engineer III to join us and play a pivotal role. You'll have the opportunity to work with a team of talented, collaborative, and fun engineers, solving some of the toughest challenges, as we build out the future of intelligent content management in the cloud. The work you do will have an immediate and lasting impact on the productivity of millions of users, at some of the most important enterprises of our time.
WHAT YOU'LL DO
Design and implement scalable services with a focus on reliability, observability, operability and efficiency.
Collaborate with partner teams and domain architects on system design and services integration.
Be heavily involved in defining the vision and assembling feature roadmaps.
Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio.
Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection.
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
WHO YOU ARE
You have 4+ years of professional software development experience.
Proficient in Java; familiarity with other scripting languages like Python, Scala or PHP is a plus.
Proven ability to design, build, and deploy high-quality software.
Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming.
Skilled in designing and developing APIs.
Familiarity with NoSQL databases such as MongoDB preferred.
Passionate about new technologies with the capability to implement them in existing products.
Proficiency in spoken and written English.
Nice to Haves:
Experience working with message queues and/or streaming data systems like Kafka/PubSub.
Experience with Google Cloud Platform (GCP), Amazon Web Service (AWS) or Azure.
Experience deploying and operating microservices on Kubernetes.
Percentage of Time Spent:
50% coding
20% documentation
20% bug fixes
10% meetings
Methodology
Agile management - Scrum
Issue tracking tool - Jira
Knowledge repository - Confluence
Code reviews - GitHub Enterprise
Version control system - GIT
BENEFITS
Check out the
overview of Life at Box
which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
.
For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-EMEA
#LI
-GW1 #LI-hybrid
Location: Ukraine; Armenia
In this role, you will take full ownership of our core Django service, which acts as the main bridge between our algorithmic models and internal teams. You’ll be responsible for API design, data modeling, cross-team data contracts, and maintaining high performance at scale. As part of the Algo Development team reporting to the Engineering Manager, you will also productionize research code and mentor a junior engineer. We are open to Senior and Staff levels, with the final title agreed upon during the process.
Requirements
- Bachelor’s/Master’s degree in Computer Science, Software Engineering, or equivalent hands-on experience.
- 7+ years of commercial software engineering experience with a primary focus on Python and running production-grade services (excluding internal tools, scripts, or prototype notebooks; Staff candidates are expected to have a longer track record).
- Extensive production experience with Django and Django REST Framework (DRF), including shipping, scaling, and troubleshooting complex services (handling high-traffic ORM N+1 queries, transaction boundaries, migrations under load, and custom querysets).
Responsibilities
- Build & scale Django services: Design, deploy, and maintain high-load Django and Django REST Framework applications on PostgreSQL, ensuring clean data modeling, robust API design, and schema consistency across multiple domains.
- Optimize PostgreSQL & manage Auth: Analyze query execution plans, build effective indexes, and tune performance (including time-series via TimescaleDB and spatial queries via PostGIS). Implement enterprise authentication solutions: OAuth/OIDC, federated SSO, token validation, and identity provider integrations.
- Set up Wagtail CMS from scratch: Architect and build the partner and operator CMS ground-up, defining page models, structured content, media workflows, and the authoring interface.
- Productionize research & algorithms: Wrap research models into production microservices with strict data contracts, model versioning, reliable REST endpoints, and complete observability.
- Guide architecture & mentor: Lead code reviews, define foundational architecture patterns, and mentor a junior Python engineer to elevate team standards.
Benefits
- 20 days of paid vacation, 5 sick days.
- Flexible schedule with a high level of autonomy.
- Opportunity to influence product and technical decisions.
- Professional growth and learning opportunities.
- Comfortable working environment with a supportive team.
Location: Armenia; Ukraine
We are looking for an
Algo Development Engineering Manager
to lead a small team of Python and Java engineers. The team is responsible for developing and maintaining Django services, as well as Flink and Kafka streaming pipelines. You will drive technical direction, manage and mentor the team, review code, and help turn algorithm prototypes into reliable, production-ready services.
Requirements:
A degree in computer science, software engineering, information systems, or a related field, or equivalent practical experience.
Real engineering management experience. You've owned hiring, performance, and delivery for a team, and you can talk honestly about both growing engineers and managing people out.
Depth in Python or Java, with working fluency in the other. This one isn't negotiable. You should be able to read a pull request, ask the right questions, and jump into the code yourself.
Experience taking prototype or notebook work into a production system that you then had to run.
Hands-on PostgreSQL scaling: query tuning, indexing, and schema design. You can read a query plan, find the query that's hurting, and fix it.
Good technical judgment, plus the ability to explain your reasoning so the team can act on it.
Responsibility:
Hire, mentor, and grow the team. That includes recruiting senior engineers, running performance conversations, and shaping how the team works as it gets bigger.
Set technical direction for the Django and Django REST Framework service, the Java optimization and services work, and the Flink and Kafka streaming pipelines.
Decide when a research approach is ready for production and when it needs rethinking first, then get it there.
Own the health of the Django service on PostgreSQL: the data model, the API surface, performance, and reliability.
Review pull requests and hold the bar for what ships.
Run design reviews, planning, and postmortems, and make sure any work that crosses team lines has an owner before it starts.
What we offer
20 days of paid vacation, 5 sick days.
Flexible schedule with a high level of autonomy.
Opportunity to influence product and technical decisions.
Professional growth and learning opportunities.
Comfortable working environment with a supportive team.
Location: Warsaw, PL
We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.
Orca Security
is a cybersecurity startup and cloud innovation leader. Founded in 2019 in Israel by former Check Point managers, it raised $630+ million and became a 'unicorn' in 2021.
This role sits on the
Attack Surface Management team
. It synthesizes data from cloud infrastructure, security events, logs, vulnerability intelligence, and third-party systems into interconnected security models that map network exposure, reveal attack paths, identify security gaps, and quantify overall security posture.
The team also owns Orca's API Security capabilities, which discover and probe the APIs customers expose, as well as our Attack Surface Agent, an AI-driven "red agent" that runs offensive reconnaissance against customers' external assets. By understanding the relationships between assets, permissions, network accessibility, and potential risks, we enable product teams to deliver meaningful security insights to customers.
Our Stack:
Python, Go, Postgres, Kafka, Redis, DynamoDB, Django, Docker, Kubernetes, Terraform, AWS.
You'll own critical components of our data collection and analysis pipelines, drive architectural decisions that influence how security data flows and is transformed into insights, and help us expand our capabilities.
We're currently scaling our data collection to new cloud platforms and infrastructure types, improving our ability to model network exposure and surface security risks, broadening our API discovery and testing, building agentic offensive security capabilities, enhancing security scoring across new domains, and evolving our architecture towards a more event-driven design — and we're looking for experienced engineers who are eager to make a foundational impact.
Write clean, concise code that is stable, extensible, and unit-tested appropriately.
Write production-ready code that meets design specifications, anticipates edge cases, and accounts for scalability.
Diagnose complex issues, evaluate, recommend and execute the best solution.
Implement new requirements within our Agile delivery methodology while following our established architectural principles
Lead initiatives end to end — from design and planning to implementation and deployment — while aligning cross-functional teams and ensuring technical excellence.
Test software to ensure proper and efficient execution and adherence to business and technical requirements.
Provide input into the architecture and design of the product; collaborating with the team in solving problems the right way.
Develop expertise of AWS products and technologies.
Bachelor's degree in Computer Science, Engineering or relevant experience.
5+ years of professional software development experience.
Proven experience building data-intensive systems at scale.
Experience with Python - Must.
Experience with event-driven architectures and asynchronous message processing.
Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc.
Experience with Go.
Experience with graph databases.
Experience with distributed data processing technologies like Kafka.
Experience with API security, offensive security, or building LLM-based agents.
At On The Spot, we’re creating a workplace people would want to stay in:
supportive, well-organized, and fair in terms of conditions and benefits.
We’ll share more about our benefit package during the interviews. In the meantime, you can always check our
Glassdoor reviews
.
Location: Europe
Workplace: Remote
OUR VISION & PRODUCTS
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years — Help Us Reach 100M first, 500M next
At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.
Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And we’re only just getting started!
OUR TEAM
We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
Maruša Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)
YOUR ROLE
You will report to and work closely with our Chief Marketing Officer (CMO), playing a key, hands-on role in the execution and optimization of our high-volume paid acquisition channels.
This is a fast-paced learning environment where you will execute the end-to-end User Acquisition process, from campaign setup and creative iteration to data analysis and reporting. You will have autonomy in your day-to-day execution, with continuous guidance and feedback from the team and senior leadership to accelerate your growth. Your ideas and analytical contributions will be actively sought to improve channel performance.
YOUR RESPONSIBILITIES
CAMPAIGN EXECUTION AND SCALING SUPPORT:
- Assist in the daily management of core paid acquisition channels or DSPs (e.g. Meta, TikTok, Google, etc.)
- Support the creation of scalable acquisition funnels by ensuring proper tracking implementation and gathering data insights
- Actively participate in the testing loop by preparing new ad concepts, organizing creative assets, and setting up audience tests
PERFORMANCE ANALYSIS AND REPORTING:
- Monitor campaign and funnel performance using our core tools (Voluum, GA4, internal dashboards) and promptly flag any critical changes or performance anomalies
- Pull, clean, and organize performance data (CPA, ROAS, retention) to support weekly and monthly strategic reviews
- Maintain and update internal reporting documents and dashboards
CREATIVE & FUNNEL CONTRIBUTION:
- Support the creative briefing process by gathering performance data and communicating required asset changes and successful angles to the content team
- Collaborate with Product and Content teams to assist in the launch and testing cycles for landing pages, focusing on conversion rate improvements
- Assist in documenting and implementing systems designed to streamline creative testing speed and reduce fatigue
PARTNERSHIP MANAGEMENT & LEARNING:
- Build initial rapport with key traffic source representatives, assisting the Senior team in managing communications and reporting performance
- Research and document potential new acquisition opportunities (networks, formats, tools, etc.)
- Stay up-to-date on platform rules, policy changes, and algorithm shifts
CHALLENGES YOU’LL TACKLE
In this role, you will be instrumental in supporting our growth goals. Specifically, you will:
- Help us scale fast: Execute the daily campaign changes needed to grow our budgets while constantly watching the data to keep our cost targets (CAC/ROAS) in check
- Grow our user base: Your analysis and execution will directly contribute to hitting our goal of growing from 40 million to 100 million users
- Launch new channels: Handle the foundational setup (tracking, ad setup) required to successfully test and launch completely new advertising platforms
- Improve conversions: Run A/B tests on landing pages and funnels to find opportunities to make our campaigns more efficient
- Be the link for creative: Take performance data, translate it into clear suggestions for our creative team, and ensure the new ad concepts are launched and tracked correctly
YOUR QUALIFICATIONS
HARD SKILLS
- Experience level: Minimum 1 year of experience required in performance marketing or user acquisition
- Platform curiosity: You have explored and understand the basic structures of major ad platforms (like Meta, TikTok, Google, etc.)
- Technical aptitude: Ability to quickly learn and master new software, dashboards, and platform interfaces
- Analytical & Creative ability: You have a good eye for what makes an ad hook effective, and you possess strong analytical skills (comfortable with data/Excel) to learn how to translate data into creative briefs
NICE-TO-HAVES
- Knowledge of basic online marketing metrics (CPM, CTR, CPA)
- Familiarity with any analytics or tracking tool (e.g., GA4, Voluum, or basic platform reporting setups)
- Experience in sensitive or regulated verticals (e.g. dating, femtech, telehealth, etc.)
SOFT SKILLS
🗣 Good communication skills: You are fluent in English and can clearly articulate thoughts and findings
🎯 Driven & Accountable: You are motivated, take full ownership of your tasks, and commit to achieving goals
⚡️ Action-oriented: You thrive in a fast-paced environment and prioritize execution and speed
🧠 Curious & Detail-oriented: You are meticulous with data and possess a strong desire to learn the why behind performance
🧢 Humble learner: You actively seek feedback and are eager to grow in the field of paid acquisition
WHY EVERAI?
📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond
🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it
🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship
👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
WHAT WE OFFER
✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨👩👧👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
🎯 TOP TIER TALENT IS OUR MULTIPLIER
We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.
We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If that’s you — reach out and apply!
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. As the Director, Clinical Research Operations, you will lead the clinical operations function responsible for executing the studies that support WHOOP’s regulated and unregulated health features, with a particular focus on Software as a Medical Device (SaMD). You will own operational strategy and study execution across the product lifecycle, from early concept and feasibility through validation, regulatory submission, launch, and post-market evidence generation.
This role requires deep expertise in clinical trial operations, decentralized clinical trials, vendor oversight, and operational execution within regulated healthcare environments. As both a strategic leader and hands-on expert, you will oversee studies conducted through CROs as well as internally executed studies, ensuring high-quality, efficient, and compliant execution across WHOOP’s clinical portfolio.
You will build and mentor a high-performing Clinical Operations organization. You will strengthen WHOOP’s clinical operations capabilities and ensure our study execution strategy meets the expectations of regulators, investigators, participants, and the business.
QUALIFICATIONS:
- Own the clinical operations strategy across WHOOP’s portfolio of regulated and unregulated health features, including feasibility, validation, regulatory submission, launch, and post-market evidence generation.
- Develop and execute fit-for-purpose operational models for both internally executed studies and CRO-managed validation studies, ensuring efficient evidence generation across the product lifecycle.
- Partner with Clinical Science and cross-functional leadership to develop study execution strategies, resource plans, vendor models, and operational timelines that balance speed, quality, cost, and regulatory requirements.
- Lead study startup, planning, execution, monitoring, and closeout activities, ensuring timelines, budgets, enrollment targets, quality objectives, and regulatory requirements are achieved.
- Oversee participant recruitment, enrollment, retention, study logistics, and data collection activities across both internally executed and externally managed studies.
- Lead operational oversight of CROs, technology vendors, recruitment partners, and other external service providers, establishing scalable governance frameworks, performance metrics, and escalation pathways to ensure high-quality delivery and accountability.
- Build and oversee capabilities for internally executed studies, including decentralized clinical trials (DCTs), feasibility studies, algorithm development studies, and product research initiatives.
- Oversee Clinical Data Management and clinical trial technologies, ensuring high-quality, timely, and compliant data collection, management, and delivery across systems including EDC, CTMS, eConsent, ePRO, eTMF, and remote study platforms.
- Oversee study startup and regulatory operations activities, including feasibility assessments, investigator and site selection, IRB and Ethics Committee submissions, global ethics approvals, essential document management, study activation, and Trial Master File inspection readiness.
- Ensure studies are conducted in accordance with GCP, FDA regulations, ISO 14155, company procedures, and quality requirements, while supporting audits, inspections, and regulatory submissions.
- Build and lead a high-performing Clinical Operations organization, including hiring, mentoring, workforce planning, and establishing scalable processes, standards, and operating models.
- Communicate study progress, operational risks, resource needs, vendor performance, and portfolio status to executive leadership and key stakeholders.
RESPONSIBILITIES:
- Bachelor’s degree required; advanced degree (MS, MPH, MBA, RN, PharmD, PhD, or equivalent) preferred.
- 10+ years of experience in clinical operations, clinical research, medical devices, digital health, diagnostics, pharmaceuticals, or another regulated healthcare environment.
- 5+ years of experience leading multidisciplinary clinical operations teams, including Clinical Trial Management, Clinical Monitoring, Clinical Data Management, Study Startup, and Clinical Operations functions.
- Demonstrated experience overseeing CRO-managed clinical studies and external vendor partnerships.
- Experience leading internally executed clinical research programs, including decentralized clinical trials, participant-facing operations, site management, direct-to-participant research, or hybrid study models.
- Deep expertise in clinical trial execution, study startup, participant recruitment, monitoring, enrollment, clinical data management, trial master file oversight, and study closeout activities.
- Experience managing clinical study budgets, vendor contracts, resource forecasting, and portfolio planning.
- Strong understanding of GCP, FDA regulations, ISO 14155, IRB/Ethics Committee processes, and medical device clinical research requirements.
- Excellent written and verbal communication skills, with the ability to translate complex operational, clinical, and regulatory concepts for diverse audiences.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $210,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: Paris
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset, enabling us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
Your future role within QRT:
Design and build high-performance, reliable software systems and reusable components.
Take ownership of technical design and implementation, contributing to architectural decisions and evolving existing systems.
Solve challenging engineering problems involving concurrency, performance, and system reliability.
Investigate and troubleshoot complex issues to improve system robustness and efficiency.
Contribute to code reviews, automated testing and engineering best practices.
Collaborate with researchers and engineering teams to understand requirements and deliver effective technical solutions.
Your present skillset:
Excellent computer science fundamentals, particularly algorithms, data structures and system design.
Strong proficiency in at least one programming language such as
Python
, Rust, C++, Go or Java.
Hands-on experience designing and building software systems, with a strong sense of ownership.
Good understanding of multithreading, asynchronous I/O, memory management and performance optimization.
Experience developing reliable, production-grade software, with strong debugging and testing practices.
Comfortable working in Linux environments.
Curious, proactive and comfortable tackling complex technical challenges.
Excellent communication skills and ability to collaborate effectively across teams.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to help employees maintain a healthy work-life balance.
Location: Yerevan, Armenia
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain.
(REQ ID: 2997)
Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
(REQ ID: 2997)
Location: Barcelona, Spain; Madrid, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness.
In this role, y
ou will also be responsible to:
Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior.
Work on runtime-level components operating under high concurrency and throughput.
Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency.
Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation.
Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths.
Improve execution engine for custom third-party code (isolation, performance, feature extensions).
Modernize runtime components with focus on modularity, structured architecture, and observability.
Improve trigger configuration and execution across webhooks and polling mechanisms.
Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse).
Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems.
Own initiatives end-to-end, from design to rollout and production support.
Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics.
Requirements
Qualifications / Experience / Technical Skills
Strong experience in building scalable distributed backend applications (7+ years).
Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Knowledge of basic data structures and algorithms and how they are used is a must.
Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Nice to Haves
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain.
(REQ ID: 2997)
seniorYerevan, Armenia; Readiness to work remotely with teams distributed across the world and timezones; Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain
seniorBerlin, Germany; Frankfurt, Germany; Munich, Germany; Readiness to work remotely with teams distributed across the world and timezones
seniorBarcelona, Spain; Madrid, Spain; Readiness to work remotely with teams distributed across the world and timezones; Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain
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