Jobs

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

We are now expanding our system layer by developing cross-platform agents and background services written in Rust, designed to operate on Windows, macOS, and Linux. These agents form the backbone of our telemetry and device management capabilities across thousands of managed endpoints.

Role Overview:

As a C/C++ Developer, you’ll build reliable, high-performance system services and daemons that power Flamingo’s open-source infrastructure for MSPs.

You will work closely with backend engineers to design, implement, and optimize cross-platform components responsible for device management, monitoring, and secure data exchange.

Key Responsibilities:

• Develop cross-platform agents, daemons, and background services in Rust for Windows, macOS, and Linux.
• Work with low-level system APIs and platform-specific tools: Win32 API, LaunchAgents/Daemons, systemd, and more.
• Integrate services with backend infrastructure via HTTP, WebSockets, and NATS.
• Write secure, asynchronous, and performant Rust code using Tokio, Serde, and Tracing.
• Optimize real-time data processing, message handling, and network performance.
• Collaborate with backend and platform teams to ensure reliability, observability, and security across deployments.
• Contribute to our open-source projects by writing clean, documented, and community-friendly code.

Our Stack:

• Language: Rust (1.8x+)
• Core Libraries: tokio, serde, anyhow, tracing, thiserror
• Networking: reqwest / hyper (HTTP), tokio-tungstenite / warp (WebSockets), nats.rs (NATS)
• Platform APIs:
  • Windows – Win32, COM, Registry
  • macOS – LaunchAgents, Daemons, Keychain
  • Linux – systemd, journal, epoll, nix crate
• Tooling: Git, GitHub, cross-platform builds

Qualifications:

Must-Have

• Strong proficiency in C/C++ with experience writing system-level or low-level software.
• Experience developing system-level software for at least one major OS (Windows, macOS, or Linux).
• Familiarity with platform APIs (e.g., Win32 API, systemd, macOS Daemons).
• Solid understanding of networking (TCP/UDP, WebSockets, HTTP).
• Experience with multi-threaded and asynchronous/concurrent programming.
• Attention to security, performance, and code maintainability.
• Experience with Rust.

Nice-to-Have

• Experience migrating or integrating C/C++ codebases with Rust.
• Experience with NATS, message brokers, or real-time telemetry systems.
• Experience building cross-platform agents or monitoring tools.
• Contributions to open-source projects (especially in Rust).

Why Join Flamingo?

• High-impact role: Build the foundational layer of Flamingo’s open-source infrastructure.
• Ownership & Equity: Competitive salary plus meaningful stock options in an early-stage startup.
• Modern Tech Stack: Rust, NATS, async, cross-platform tooling, the best of systems and cloud engineering.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a world-class team.
• Mission-Driven Company: Help us redefine how MSPs operate with open-source, automation, and AI at the core.

Ajax Systems is an international technological company and Europe’s largest security system manufacturer. In addition, the company offers solutions for video surveillance, smart homes, fire detection, and flood prevention. The product portfolio includes 280 wireless and wired devices for security and automation. Today, Ajax protects over 4.5 million users in 187 countries worldwide. 

We are looking for a smart, experienced, and technically proficient Senior Java Developer to join our team in Kyiv office.

Required Experience:

- Java: 5+ years of professional backend development in enterprise environment
- Kotlin: Knowledge and practical work experience
- Java Concurrency: Strong understanding and practical application experience

Architecture & Design
- Understanding of SOA, microservice, and event-driven architecture
- Cloud development principles with practical AWS experience
- Ability to scale and ensure high availability of loaded systems

Technologies & Tools

Required:

- Kafka, MongoDB, NATS
- Enterprise-grade stack (messaging brokers, in-memory storages, NoSQL, key-value databases)
- Docker and Kubernetes (containerized applications)
- Git, Gradle, Jenkins
 

Nice to Have:
- Redis, Netty, Akka, gRPC, Project Reactor
 

We offer:
- The opportunity to share and implement your own ideas that could impact products and production
- Work with a motivated team and an environment with a zero-bullshit culture
- Competitive salary
- Medical insurance
- Corporate English classes

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations. 

Role Overview

As a Senior Back-end Engineer (Java) at Flamingo, you will design and develop scalable, high-performance back-end services and APIs using Java and Spring Boot. You will be responsible for implementing event-driven microservices, optimizing system performance, and ensuring high availability as we scale our platform. Your expertise in processing high-volume logs and integrating multiple data sources will be critical to building a robust and efficient system.

Key Responsibilities

• Design and develop scalable backend services and APIs using Java (Spring Boot).
• Architect and implement event-driven microservices with Kafka and RabbitMQ.
• Process and analyze high-volume logs efficiently to ensure scalability and real-time insights.
• Integrate and manage multiple data sources, including SQL, NoSQL, and streaming data.
• Optimize database performance using PostgreSQL, Redis, and Elasticsearch.
• Implement authentication and authorization mechanisms with OAuth, JWT, and Keycloak.
• Collaborate with front-end and DevOps teams to build a seamless and resilient system.
• Ensure code quality through automated testing, CI/CD pipelines, and best engineering practices.

Qualifications

Must-Have:

• 5+ years of experience in backend development with Java and Spring Boot.
• Experience in microservices architecture, including event-driven systems (Kafka, RabbitMQ).
• Strong knowledge of RESTful APIs, GraphQL, and WebSockets.
• Experience processing high-volume logs and working with log management tools (ELK stack, Loki, Fluentd, OpenTelemetry).
• Experience working with multiple data sources, including relational (PostgreSQL) and non-relational (Redis, Elasticsearch) databases
• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP).
• Understanding of security best practices in backend development.

Nice-to-Have:

• Experience with functional programming in Java or Scala.
• Familiarity with distributed tracing (e.g., Jaeger, Zipkin) for microservices.
• Knowledge of cloud-native architectures and serverless frameworks.
• Exposure to message queues and event sourcing.

Why Join Flamingo?

• High-impact role: As a back-end engineer, your contributions will directly shape Flamingo’s product and technology.
• Ownership & Equity: Competitive compensation, including significant equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge open-source technologies in AI, automation, and security.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

We are looking for an experienced full-stack developer to join a project building an AI productivity platform that helps professionals learn and stay current in their field.

Requirements:

• 5+ years of full-stack development experience
• Strong Python backend skills (FastAPI, Flask, or Django)
• Frontend experience with Vue.js or React, TypeScript
• Experience with AI/LLM APIs (OpenAI, Anthropic, etc.)
• RAG pipelines and vector databases (Pinecone, Qdrant, pgvector, Weaviate)
• PostgreSQL, database design
• API integrations and backend design patterns

• Strong documentation and communication skills

   

Nice to have:

• LangChain, LangGraph experience
• Multi-agent AI systems
• Knowledge graphs, Neo4j

Conditions:

• 30+ hours per week
• Long-term engagement (6+ months)
• Must be available for standups before 11am Pacific time (7 pm Kyiv)

We are looking for a Senior QA Engineer who will take ownership of the quality assurance process across our products. You will be responsible for ensuring the stability and performance of our platforms, establishing testing workflows, and collaborating closely with tech and product teams to deliver high-quality features.

🧩 What you’ll do

• Test HTML5 slot games across all development stages (desktop & mobile);
• Validate game logic and mechanics: math models, features, bonuses, free spins, RTP, win scenarios;
• Perform regression testing before releases and updates;
• Conduct cross-browser and cross-device testing;
• Test platform and partner integrations (launches, promos, RTP changes, etc.);
• Identify, document, and track bugs with clear reproduction steps;
• Collaborate closely with developers, designers, and game mathematicians;
• Contribute to improving QA processes, checklists, and quality standards;
• Execute and maintain test cases in TestRail.

 🧠 What we’re looking for

•  5+ years of experience as a QA Engineer (preferably in iGaming / slots/gambling), Solid understanding of HTML5 game development lifecycle;
• Hands-on experience testing complex game mechanics and logic
• Experience with TestRail;
• Strong attention to detail and a player-oriented mindset;
• Experience with bug-tracking tools (Jira or similar);
• Basic understanding of client–server architecture;

• English level B2 or higher.

   

💎 Nice to have

• Experience working with slot providers or game studios;
• Knowledge of game mathematics or RTP validation;
• Experience with automation or scripting;
• Familiarity with certification or compliance testing.

🎁 Benefits

— 21 vacation days + 5 extra day-offs annually;
— 12 paid sick days;
— Fully remote format — work from anywhere you feel productive;
— Flexible schedule: start your day anytime between 08:00–12:00 CET;
— Fixed budget for health insurance and gym/fitness;
— We provide all required work equipment;
— Zero bureaucracy and direct communication with founders and C-level;
— Minimal meetings, async-friendly workflow;
— Startup energy: fast motion, creativity, and tight-knit communication;
— Business trips and team meetups several times per year;
— Multiple salary payout options (flexible formats);
— …And many more perks unlocked after we hit break-even.

Remote  |  EU Time Zone (CET ±4 hours)  |  Full-Time

Competitive salary based on experience  |  Equity options available

About Amplifier AI

We’re building the next generation of surgical planning software for interventional radiology and cardiothoracic surgery. Our platform turns CT scans into interactive 3D models that help surgeons plan complex procedures—from endovascular aortic repair (EVAR) to transcatheter aortic valve implantation (TAVI) and beyond.

Our core library powers 17+ clinical analysis pipelines that perform automated anatomical segmentation, vessel centerline extraction, hemodynamic measurements, and risk stratification. Every algorithm we ship has a direct impact on patient outcomes.

We’re a small, focused team where your code goes from PR to operating-room screen in weeks, not quarters. If you want to work on technically challenging problems that genuinely matter, keep reading.

What You’ll Work On

This isn’t a generic backend role. Here’s what a typical month might look like:

• Extending our NNUnet-based segmentation pipelines (we run 15+ trained models across organs, vessels, bones, and tumors) and validating results against clinical ground truth

• Building automated measurement workflows—think aortic neck angulation, iliac tortuosity indices, or landing-zone diameter calculations that feed directly into surgical reports

• Developing new workspace modules: designing the data flow from raw DICOM volumes through preprocessing, AI inference, post-processing, and 3D scene generation

• Optimizing inference performance for GPU and CPU execution, including memory-aware scheduling and adaptive resolution strategies

• Working with SimpleITK, NumPy, and our in-house volume processing library to manipulate medical images at the voxel level—resampling, label morphology, island filtering, ROI extraction

• Collaborating directly with radiologists and surgeons to translate clinical requirements into algorithmic specifications

Our Tech Stack

• Language: Python 3.12+ (modern typing, dataclasses, async patterns)

• Medical Imaging: SimpleITK, NIfTI volumes, DICOM processing

• AI/ML: NNUnet framework, PyTorch, custom inference pipelines

• Infrastructure: Docker, NVIDIA GPU compute, CI/CD with automated testing

• 3D Visualization: Unity integration (you won’t write C#, but your Python outputs drive the 3D viewer)

• Tools: Git, Jira, Confluence, VS Code / PyCharm

What We’re Looking For

Must-haves:

• Strong Python fundamentals: you write clean, typed, well-structured code and understand performance trade-offs

• Experience with NumPy/SciPy for numerical computing—you’re comfortable thinking in arrays and transforms

• Familiarity with medical imaging concepts (DICOM, NIfTI, voxel spaces, coordinate systems) or strong willingness to learn quickly

• Understanding of machine learning inference pipelines, even if you’re not training models from scratch

• Ability to work independently in a remote-first environment with 4+ hours of overlap with CET business hours

Nice-to-haves:

• Experience with SimpleITK or ITK for image registration, segmentation, or morphological operations

• Background in NNUnet or similar medical segmentation frameworks

• Knowledge of 3D geometry: meshes, centerline extraction, spatial transforms

• Contributions to open-source scientific Python projects

• Domain experience in radiology, surgical planning, or health-tech

A Few Things to Know

To set expectations clearly, here’s what this role involves:

• The codebase is scientifically dense—you’ll work with Hounsfield units, anatomical coordinate systems, and clinical measurement standards. Curiosity about the domain is essential.

• We’re a startup. Processes are evolving, requirements shift, and you’ll sometimes need to figure things out from first principles rather than following established playbooks.

• This is primarily a backend/algorithmic role. If you’re looking for frontend or web development work, this isn’t the right fit.

• We care deeply about code quality—type hints, meaningful tests, clear documentation. We review each other’s work carefully.

Why Join Us

• Direct clinical impact: your code helps surgeons plan life-saving procedures more accurately

• Technically deep work at the intersection of AI, medical imaging, and 3D visualization

• Small team, big ownership: you’ll shape architecture decisions and see your ideas go to production

• Flexible remote setup with asynchronous communication and minimal meetings

• Competitive compensation with equity participation

How to Apply

Send us your CV along with a short note covering:

1. A brief description of the most technically challenging Python project you’ve worked on—what made it hard, and how you solved it.

2. Your experience (if any) with medical imaging, numerical computing, or ML inference—even if it’s from a different domain.

3. Your availability and time zone.

No cover letter template needed—just be direct. We review every application personally.

Cloud Infrastructure Engineer

About the role:

We are looking for an experienced Cloud Infrastructure Engineer to join a fast-growing digital health product company focused on improving cardiovascular health outcomes.

The product combines applied science and technology to help users better understand and manage their heart health. The solution is already used at scale and continues to grow rapidly, which creates new challenges in infrastructure, scalability, and reliability.

You will play a key role in building, scaling, and securing a modern cloud infrastructure that supports data-heavy and ML-driven systems.

What you will do:

• Build and maintain a production-ready ML pipeline and data lake
• Improve and evolve build automation processes (transition from CI to full CD)
• Design, scale, and secure Kafka clusters running on Kubernetes
• Collaborate with engineering and security teams to improve infrastructure and compliance
• Develop monitoring systems, dashboards, alerts, and internal tools
• Identify and mitigate reliability and security risks in production systems

Tech stack:

Scala, Python, React Native
AWS, Kubernetes, Docker
Kafka, MongoDB, PostgreSQL, Redis
Nginx, ELK, Prometheus
Jenkins and other CI/CD tools

Requirements:

• 5+ years of experience in DevOps / Cloud Infrastructure roles
• Strong production experience with AWS (or another major cloud provider)
• Hands-on experience with Kubernetes and Docker in production
• Programming experience with at least one of: Scala, Java, or Python
• Experience with CI/CD pipelines and automation tools
• Solid understanding of distributed systems and scalable architectures

Nice to have:

• Experience with Kafka (clusters, streams)
• Experience with ML pipelines or data platforms
• Experience with AI-assisted development tools (e.g., Claude Code)
• Experience with monitoring/logging tools (ELK, Prometheus, etc.)

What we are looking for:

• Independent and proactive mindset
• Ability to learn quickly and adapt to new technologies
• Strong ownership and responsibility for infrastructure decisions

Company Description

#1 talent intelligence platform and global leader in recruiting software which serves over 125,000 recruiters around the world.

Project Description

You will work across backend, frontend and mobile surfaces to deliver real, user-facing impact. You will integrate AI/ML-powered features into workflows, own complex integrations, and help evolve a product used at scale. This role is product-focused, integration-heavy, and well suited for engineers who enjoy owning features end-to-end.

Requirments

• Full stack experience at least 5 years — comfortable writing frontend, API, and backend code.
• Expert knowledge of React — production experience required.
• Expert knowledge of any backend MVC JS framework.
• Solid web fundamentals: HTML, CSS, JavaScript.
• Abililty to make correct engineering tradeoffs and own features end-to-end without hand-holding.
• Strong English — async-first, fully remote team.
• GitHub profile or relevant portfolio.

Nice to have: Postgres, Elasticsearch, Kubernetes.

Responsibilities

• Design and implement full-stack features using JS, GraphQL, and TypeScript/React.
• Integrate ML outputs into UI, search, and automations, working closely with AI and data teams.
• Build and maintain APIs consumed by web, mobile, and extension clients.
• Own feature quality including UX guardrails, edge cases, and observability.
• Contribute to scalable architecture across multi-region Kubernetes environments.
• Participate in code reviews, technical discussions, and iterative product delivery.

Tech Stack

The core of the application is written in Ruby on Rails, but more and more services are now being built with just JavaScript. Nevertheless, we prefer candidates with deep JS expertise who also willing to tap into the Ruby world from time to time.

Work conditions

Mon – Fri, 8h/day, overlap with US (EST) at least 6 hours(!).

Interviewing stages

1. HR interview with EchoGlobal
2. Online live coding test via CoderByte
3. Technical interview #1 (incl. screen sharing) // Team Member
4. Technical interview #2 (incl. screen sharing) // CTO
5. Job Offer

We're seeking a Software Java Engineer with 5+ years of experience to help build and scale the backend services that power our content discovery, licensing, and delivery platforms across all of our content libraries. You'll join a team that's passionate about clean architecture, performance, and solving complex challenges at scale. If you thrive in a collaborative environment and love building robust APIs, data-driven systems, and data modeling we'd love to hear from you.

What You'll Do:

• Design, implement, and maintain backend services using Java, Spring Boot, and the broader Spring ecosystem.
• Build and evolve RESTful APIs that power content metadata, search, recommendation, and licensing workflows.
• Work with Kafka to build event-driven and real-time processing systems.
• Use SQL and work with relational databases to support structured content metadata.
• Partner with data and analytics teams to model data in data warehouses, supporting reporting and analytics use cases.
• Build and maintain DBT models to transform raw data into clean, usable datasets.
• Leverage the AWS ecosystem for service deployment, data storage, and pipeline orchestration.
• Contribute to technical discussions, system design, and code reviews.

Requirements:

• 5+ years of professional backend development experience.
• Strong proficiency in Java, with experience using Spring Boot and Spring Framework.
• Experience designing and consuming REST APIs.
• Familiarity with Kafka or other message streaming platforms.
• Solid understanding of relational databases and writing optimized SQL.
• Comfortable working with GraphQL.
• Exposure to Python or willingness to learn.
• A collaborative mindset with strong communication skills.
• A passion for clean code, scalable systems, and continuous learning.

Nice-to-Have:

• Practical experience working with data warehouses and DBT for data transformation and modeling.
• Hands-on experience working with the AWS ecosystem (especially Aurora/Dynamo DB).
• Experience working with Node.js and/or Typescript.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with Databricks/Snowflake.
• Background in building systems for search, metadata enrichment, or digital asset management.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

You will join the Advanced Analytics team of a leading multinational energy company, working on one of the most technically demanding applications of machine learning in the engineering domain. The mission is to augment the upstream design configuration process for complex mechanical equipment - reducing manual iteration cycles before simulation software is ever invoked. This role sits at the intersection of applied ML and mechanical engineering, working directly with senior engineering stakeholders on highly bespoke, domain-specific datasets.

What You Will Do

· Analyze and model FEA-derived engineering datasets - load cases, material properties, geometric configurations - to build ML-based surrogate models that predict optimal design configurations.

· Apply uncertainty quantification techniques to assess model confidence and communicate prediction reliability to engineering stakeholders.

· Implement active learning strategies to intelligently prioritize the most informative simulation runs, minimizing the number of costly iterations required to train robust models.

· Collaborate closely with mechanical engineers and product management to translate domain constraints into well-defined ML problem formulations.

· Select, justify and implement appropriate ML approaches - regression, ensemble methods, neural networks based on dataset characteristics, and defend those choices with technical rigor.

· Build, validate and iterate on models using Python in an AWS environment.

· Work semi-autonomously: take high-level requirements, structure the problem independently and drive execution with minimal oversight.

Mush Have

· Mechanical or physical engineering domain experience - hands-on exposure to engineering datasets involving loads, stress, pressure, material properties or structural behavior. Aerospace, subsea, automotive and heavy industry backgrounds are all relevant.

· FEA dataset fluency - you understand what simulation output data looks like, how it is structured and what the physical quantities represent. Operational knowledge of ANSYS or Abaqus is not required, but you must have worked with data generated by tools of this kind.

· Strong ML foundations - deep grounding in mathematics and statistics. You can justify algorithm selection, explain model behavior and diagnose failure modes. You do not treat ML as a black box.

· Uncertainty quantification - applied UQ experience in an engineering or scientific context.

· Active learning - practical experience designing or implementing active learning loops to reduce the number of expensive simulations runs needed to train reliable models.

· Production-quality Python — clean, maintainable ML code built for real engineering workflows.

· Autonomous working style — you can take high-level requirements, structure the problem independently and deliver without daily oversight.

What Will Set You Apart

· Experience with surrogate modelling, design space exploration or simulation data regression.

· Familiarity with FEA/CFD simulation workflows (ANSYS, Abaqus, Fluent) - you do not need to operate these tools, but understanding the workflow is a meaningful advantage.

· Background in physics-informed ML or scientific computing.

· AWS experience for model development and deployment.

What you will love about working here?

We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
The gift from the company - Christmas holidays from 25 December to 31 December.
Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donnated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented a internal policy making the company friendly to military and veterans with the assistance of the Hub.

Peeklogic is an international IT company specializing in Salesforce consulting, custom development, and product solutions for clients across the US and Europe.

We are looking for a Head of Growth / CMO to build and scale a predictable, data-driven marketing engine that directly impacts revenue.

This is a strategic and hands-on role, where you will own the full funnel - from acquisition to closed deals - and transform marketing into a measurable growth function.

Apply now for this position and become a part of our great team!

Key Responsibilities:
1. Growth & Marketing Strategy

    - Develop and execute an end-to-end marketing strategy across services and products

    - Define positioning, messaging, and go-to-market strategies

    - Build and scale multi-channel acquisition (SEO, paid media, outbound, partnerships, content, events)

2. Revenue Engine & Funnel Ownership

    - Own the full funnel: Traffic → MQL → SQL → Closed Won

    - Design and optimize conversion at each stage

    - Align closely with the sales team to drive pipeline quality and velocity

    - Implement lead scoring, segmentation, and pipeline management frameworks

3. Data-Driven Marketing

    - Build and manage analytics systems (dashboards, attribution models, CAC, LTV)

    - Own CRM processes (Salesforce)

    - Drive decisions based on data, not assumptions

    - Continuously analyze and optimize channel performance

4. Marketing Operations & AI Enablement

    - Leverage AI tools to optimize workflows, content production, and analytics

    - Build and scale marketing automation systems

5. Brand & Market Presence

    - Strengthen global digital presence (website, SEO, content strategy)

    - Build a strong and differentiated brand positioning

    - Develop case studies, thought leadership, and market credibility

6. Budgeting & Performance Management

    - Own marketing budget planning and allocation

    - Ensure efficient spend with clear ROI / ROAS accountability

    - Prioritize high-impact growth channels

7. Product & Service Growth

    - Drive go-to-market and growth for internal services and products

    - Collaborate with product teams on product marketing

    - Validate growth hypotheses and launch new initiatives

Requirements:

• 5+ years of experience in B2B marketing / growth / CMO roles (IT services, SaaS, or consulting)
• Proven track record of:

    - building marketing strategy from scratch

    - scaling lead generation and pipeline

    - driving measurable revenue growth

• Hands-on experience with:

    - CRM systems (Salesforce preferred)

    - analytics and data-driven decision-making

    - SEO, performance marketing, and inbound channels

• Experience managing budgets and cross-functional teams
• Practical experience using AI tools in marketing

Core Competencies:

• Strong strategic thinking with hands-on execution
• Business mindset: marketing = revenue
• Deep understanding of B2B funnels and sales processes
• High level of ownership and accountability
• Strong analytical and problem-solving skills

Nice to Have:

• Experience within the Salesforce ecosystem
• Experience with AppExchange products
• Exposure to the US and EU markets
• Background in consulting or outsourcing companies

We Offer:

• Direct impact on company growth and strategy
• An opportunity to build and scale marketing from scratch
• Work with global markets and clients
• High level of ownership and autonomy
• Competitive compensation with performance-based incentives

This Role Is for You If:

• You’ve built marketing engines that generate revenue, not just leads
• You think like a business leader, not just a marketer
• You combine strategy, analytics, and execution
• You want real ownership and measurable impact

We are looking for an experienced, independent, and highly motivated DevOps Engineer with a “get the job done” mindset to take full ownership of our DevOps infrastructure and operations. This is a key role within the tech team, reporting directly to the Head of Engineering, with the mission of designing, building, and maintaining the backbone of our production environment — from CI/CD pipelines to cloud infrastructure and beyond.
 

Key Responsibilities

• Build, manage, and maintain cloud infrastructure and deployment environments (Staging, Production).
• Lead and optimize CI/CD processes end-to-end.
• Ensure high availability, security, monitoring, and performance of production systems.
• Respond to production incidents and be available during off-hours in case of critical issues.
• Design and implement automation tools and scripts to streamline workflows.
• Select, integrate, and manage DevOps tools and platforms that support scalability and reliability.
• Collaborate closely with development and support teams, serving as the primary DevOps authority within the organization.
   

Requirements

• Minimum of 5 years of hands-on DevOps experience in tech-driven environments.
• Proven experience with CI/CD systems (e.g., GitHub Actions, GitLab CI, Jenkins, etc.).
• Solid experience with AWS (required) and Digital Ocean (strongly preferred). Experience with GCP and Azure is a plus.
• Hands-on Linux system administration including bare metal and dedicated servers.
• Strong scripting skills (Bash, Python, or similar).
• Experience with containerization (Docker required). Kubernetes experience is a plus, but comfort with non-containerized workloads is equally important.
• Experience deploying and managing traditional web applications (LAMP, WordPress, PHP) alongside modern stacks.
• Ability to take ownership of unfamiliar applications and create maintenance and update plans — the role includes responsibility for data pipeline and workflow tools such as AirFlow and Snowflake.
• High-level English — both written and spoken.
• Strong sense of ownership — able to independently manage all aspects of DevOps.
• Ability to communicate technical investments in business terms to non-technical leadership.
   

Advantages

• Experience managing applications with significant seasonal traffic spikes.
• Knowledge of DevSecOps and security best practices.
• Experience designing DR and High Availability architectures.
• Experience as the first or sole DevOps hire, building processes from scratch.
• Background optimizing existing infrastructure before building new systems.
• Familiarity with data pipeline and workflow orchestration tools (e.g., AirFlow, Snowflake, or similar).

Full Stack Developer

[Full-time, Remote, Freelancer]

SNEAK PEEK 

⇨ Location: Remote, GMT+0/GMT+4

⇨ Interview process: HR interview ⇨ technical interview ⇨ take-home challenge ⇨ final interview ⇨ offer 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We are looking for an experienced Full-Stack developer with a passion for building complex systems to further expand our set of internal tools. You will architect and develop our core internal systems, understand and predict user interactions, and create well-written code, based on the business needs. You will work closely with other developers and QA testers, using the Agile methodology and a quality-first approach.

Hiring manager: Nadav Nagel, Software Team Lead 

WHAT ARE WE LOOKING FOR?

• 5+ years of commercial experience building publicly available websites
• 3+ years of experience in backend development using Typescript and Node.js
• Up-to-date with at least one of the latest UI frameworks (React, Vue.js, etc.)
• Detail-oriented and able to adhere to deadlines
• Excellent communication skills in both written and verbal English

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview: 30 min
• Take-home challenge.
• Technical interview: 60 min
• Final interview

Backend Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/GMT+4

⇨ Interview process: HR interview + take-home challenge ⇨ technical discussion ⇨ final interview

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, AI technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

This is a hybrid Backend/Platform Engineering role to lead cloud and backend systems migrations. It involves shipping backend solutions that move the needle at the scale of millions of dollars in business impact.

You will evaluate, plan, and migrate backend systems from various stacks and cloud providers (AWS, Azure, GCP, and more) into our infrastructure. By leveraging AI tools and automation, you will significantly accelerate migrations and modernization efforts.

This role suits Backend Engineers who aren't afraid to jump in and shape the DevOps stack.

Responsibilities

• Architect, evolve, and oversee backend infrastructure transformations (NodeJS, Python and more).
• Assess complexity, outline risks, and estimate effort and timelines.
• Rebuild or refactor backend/cloud components when needed, including rewriting services (with AI assistance).
• Utilize AI tools and agents to speed up research, refactoring, documentation, and investigations (Claude, Cursor and more).
• Design and maintain cloud environments using Infrastructure as Code (Terraform preferred) mainly for GCP, AWS and Azure.
• Build, maintain, and improve CI/CD pipelines.

Hiring manager: Igor Yakunin 

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years Backend Engineering.
• Hands-on experience with GCP or strong AWS/Azure background and willingness to transition.
• Practical experience with Terraform (or similar IaC).
• Strong Linux, networking, and cloud fundamentals.
• Experience with Docker and containerized deployments.
• Proficiency in at least one backend language (Python, Node.js, Go, Java, etc.).
• Experience with SQL and/or NoSQL databases.

Nice-to-have:

• Experience with Kubernetes or other orchestration tools.
• Familiarity with CI/CD platforms such as CircleCI, GitHub Actions, GitLab CI, or ArgoCD.
• Experience with reverse-engineering unknown systems or digging through legacy setups.
• Experience with monitoring tools such as Datadog, Prometheus, or GCP Monitoring.
• Background in refactoring, rewriting, or modernizing backend services.

INTERESTED?

Our recruitment process consists of the following steps: 

• HR Interview (45 min) - Discuss your background and fit.
• Take-Home Challenge (~2 hours of work) - Practical assignment reflecting real work.
• Technical Interview (60 min) - Evaluate cloud, DevOps, and coding skills.
• Final Interview (60 min) 

Get in touch at hr@rounds.com. 

We look forward to hearing from you! 

We are looking for a strong Senior FullStack Developer who can operate at Tech Lead level, not just write code.
This role is about architecture ownership, development process control, and technical leadership in complex e-commerce and SaaS projects.

About Us
We build complex B2B solutions:
 

• 3D configurators
• SaaS platforms
• Magento / Shopware / WooCommerce integrations
• Custom Laravel backends
• React frontends

Projects include non-trivial business logic, integrations, and performance-sensitive systems.

Your Responsibilities:
Architecture & Technical Strategy
 

• Review and audit current architecture
• Identify bottlenecks and technical debt
• Propose improvements and scaling strategy
• Own technical decision-making

Development Process Control
 

• Code reviews
• Validate architecture decisions
• Control estimations and technical solutions
• Ensure delivery quality

Documentation & Systematization
 

• Establish documentation standards
• Control documentation quality
• Extract knowledge currently “in heads” and formalize it

Communication
 

• Technical communication with clients
• Communication with third-party integrations
• Defend technical decisions

Team Leadership
 

• Delegate tasks to junior/middle developers
• Guide and mentor team members
• Maintain engineering discipline
  
   Tech Stack
   
• PHP
• Laravel
• React
• Magento
• Shopware
• WooCommerce
• Deep experience with at least 2 e-commerce platforms is highly preferred.

 Must-Have Experience
 

• 5+ years of commercial development experience
• Proven experience designing system architecture
• Experience working with high-load or scalable systems
• Experience reviewing and refactoring legacy code
• Strong understanding of API design, security, performance
• Experience leading developers (formal or informal leadership)
  
   Soft Skills (Critical)
   
• Strong attention to detail
• Ability to defend technical decisions
• Comfortable with constructive conflict
• Structured thinking
• Ownership mindset

We need someone who is not afraid to challenge decisions and push for better technical outcomes.

 Current State (Transparency)
 

• Backend documentation is currently being formalized (expected soon)
• Some business logic knowledge is not yet fully documented
• Repositories are structured, code is readable, README files exist

We are looking for someone who can bring structure and system thinking into a growing environment.

Interview Process
 

1. HR Interview
2. Technical Interview
3. Deep Technical / Architecture Interview
4. Final Interview

If you are a strong engineer who wants real ownership, architectural influence, and impact — let’s talk.