Jobs at Djinni

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and major global publishers. Their solutions improve transparency and operational efficiency in digital advertising and are trusted by globally recognized brands including TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones. The company processes millions of advertising transactions worldwide and is actively investing in AI-driven data capabilities.

PROJECT

The project focuses on building a modern data platform from the ground up with an emphasis on immutable event streams, governed canonical models, semantic layers, and scalable analytics infrastructure. The platform will support analytical workloads, operational data products, AI applications, and future customer-facing data experiences.

As a Principal / Staff Data Platform Engineer, you will own key architectural decisions, define scalable engineering standards, and help deliver the first production-ready version of the platform in a high-scale AdTech environment.

Key Technologies: Apache Iceberg, Spark, Flink, Trino, AWS, Python, Scala, Java, CI/CD, Infrastructure as Code

Job Description

• Lead the technical design and architecture of a modern enterprise-scale data platform
• Define scalable data flows from Iceberg-based event storage into analytical and operational data products
• Evaluate and select technologies for orchestration, transformation, querying, serving, and storage
• Design reusable canonical entities and data models across advertising, campaigns, inventory, billing, and customer domains
• Establish scalable engineering patterns for batch and near-real-time processing
• Build reliable and observable data pipelines for high-volume AdTech workloads
• Implement data quality, lineage, observability, and reconciliation capabilities
• Collaborate with Platform Engineering teams to introduce CI-enforced data contracts and governance standards
• Define tenant isolation, access control, and regional data boundary strategies
• Establish standards for testing, deployment automation, schema evolution, and versioning
• Optimize platform performance, scalability, and infrastructure costs
• Mentor engineers and contribute to engineering excellence across the team
• Partner closely with leadership and cross-functional stakeholders

Qualifications

• 8+ years of experience designing and operating production-grade data platforms
• Strong expertise in distributed data systems and high-volume event-driven architectures
• Deep understanding of modern lakehouse architectures and Apache Iceberg
• Advanced SQL skills and production experience with Python, Java, Scala, or similar languages
• Experience with distributed processing and query technologies such as Spark, Flink, or Trino
• Strong knowledge of data modeling, partitioning strategies, and performance optimization
• Proven experience building batch and near-real-time data pipelines
• Hands-on experience with AWS cloud infrastructure
• Strong understanding of CI/CD pipelines, Infrastructure as Code, and production observability
• Experience implementing data contracts, schema evolution, and data quality frameworks
• Ability to make pragmatic architectural decisions in greenfield environments
• Upper-Intermediate or higher English level
• Strong communication and technical leadership skills
   

Will be a plus
 

• Experience in AdTech or other high-volume event-processing domains
• Experience designing multi-tenant SaaS data architectures
• Familiarity with semantic layer technologies
• Experience supporting both analytics and ML/AI workloads
• Understanding of privacy regulations and data residency requirements

Additional information

What success looks like within your first six months:

• The first production data foundation is running.
• Clear architectural decisions have been made and documented.
• Events entering the data platform have enforceable contracts.
• Core canonical entities exist and are tested.
• Data quality and lineage are observable.
• Other engineers can contribute without needing to understand every implementation detail.

Digis is an international technology company, part of Fiverr (NYSE: FVRR), with 250+ specialists delivering high-load SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We build long-term engineering teams and ensure transparency, stability, and professional growth for every talent.

About the Project

Large SaaS platform in the e-commerce domain that automates store operations for online sellers. The platform covers product importing, inventory and price synchronization, supplier integrations, order fulfillment automation, and marketplace management.

Hybrid work model: 3 days per week in the Warsaw office

Responsibilities:

• Create new landing pages and test paid vs. free funnel models
• Integrate payment flows, including Stripe, into new funnel experiences
• Develop and test alternative versions of existing flows for A/B testing
• Integrate with Shopify and other external APIs used in the funnel
• Support and extend the existing WordPress/PHP-based funnel when needed
• Gradually migrate parts of the existing solution toward React and newer architecture

Requirements:

• 5+ years of general software development experience
• 3+ years of hands-on experience with Wordpress
• 1+ year of hands-on experience with ReactJS
• English level: Upper-Intermediate or higher

We offer:

• Competitive compensation package
• Long-term cooperation and stability
• Proven product with around 10 years of successful operation
• Strong company backing as part of the Fiverr Group
• New team built from scratch with room to shape its ways of working
• Bi-weekly engineering discussions on architecture, implementation, and knowledge sharing
• AI-powered development supported by the client, including Claude Code for coding, refactoring, PR reviews, and Jira/Confluence tasks

If this sounds like the right opportunity for you, apply now!

When applying, please confirm that you are able to work in a hybrid format and visit our Warsaw office 3 times per week.

Delta M is a product IT company that is part of the international Delta M Group. The company has been successfully operating in Ukraine, Kazakhstan, Uzbekistan, Poland, etc. for over 18 years.

Our software, Delta M. CRM and Delta Tel, is installed in more than 100 banking and financial institutions in more than 15 countries, which collectively administer databases with more than 30 million records and is the best system solution in terms of price/functionality.

Our partners include leading banks, credit unions, housing and utilities companies, telecommunications companies, and companies in other sectors of the economy.

We expect you to have:

Technical education.

Experience working with the console (cmd).

Basic knowledge of Windows Server 2008, 2012, 2016 (would be a plus).

Good knowledge of Windows 10 (required).

Basic knowledge of SQL, at least 3 months of experience, select, join.

Experience with any CRM system (a plus).

Basic knowledge of API processes.

Competent written and spoken language.

Strong communication skills, responsibility.

Responsibilities:

Timely response to customer inquiries.

Solving problems at the technical level.

Assigning tasks to the second line of support with a description.

Monitoring the deadlines for completing tasks related to inquiries.

Working conditions:

Work in a successful international business and opportunities to realize your potential and ambitions in a rapidly growing and developing field!

Internal and external training.

A company with a developed corporate culture and a rich life.

Work schedule during the probationary period Mon-Fri: 9:00 a.m. - 6:00 p.m. Kyiv time (on-call duty on weekends, 1-2 times a month).

Remote work.

Competitive salary.

We are looking for an AI Engineer with practical experience in robotics, simulation, synthetic data and AI agents.

The first priority for this role is to understand how our 3D, simulation and configurator expertise can be useful for robotics teams: what training data they need, how synthetic data can help, where real-world data is required, and which product hypotheses are worth testing.

You will work at the intersection of AI, robotics, 3D/simulation and production software engineering. We expect you to be able to move from an unclear problem to research, technical discovery, prototype, evaluation and a clear recommendation for the next step.

Responsibilities:

• Analyze our current 3D/simulation projects and identify possible use cases for robotics.
• Understand data requirements for training and evaluating robotics models.
• Define where synthetic data, 3D scenes, procedural generation and simulation can create value.
• Build prototypes and experiments for selected robotics or AI scenarios.
• Design and implement AI-agent systems around LLMs, tools, APIs and internal data.
• Integrate AI models into working services, pipelines and tools.
• Set up evaluation, logging, monitoring and feedback loops for AI systems.
• Work with developers, 3D artists, product stakeholders and potential users.

Requirements:

• 3+ years of software engineering experience.
• Strong Python skills and experience building backend services, APIs or ML systems.
• Practical experience with robotics, robotic simulation, autonomous systems or related domains.
• Experience with synthetic data, simulation environments, 3D/game engines or data generation pipelines.
• Understanding of ML data lifecycle: collection, generation, labeling, validation, versioning and evaluation.
• Experience integrating LLMs or AI models into real products or internal tools.
• Experience with AI agents: tool calling, API integration, RAG, context/state management, retries and fallback logic.
• Ability to deploy and operate AI services using Docker, cloud or similar infrastructure.

Nice to have:

• ROS/ROS2, Isaac Sim, MuJoCo, Gazebo, Unity, Unreal Engine or Blender.
• Camera/LiDAR/depth/segmentation datasets.
• Domain randomization, Sim2Real, reinforcement learning or imitation learning.
• LangGraph, LangChain, LlamaIndex, CrewAI or custom agent orchestration.
• PyTorch/TensorFlow, fine-tuning, model evaluation or ML experiment tracking.
• Experience in game development, VFX, 3D pipelines or digital twins.

In the first 30 days, we expect you to understand our project context, analyze possible robotics use cases, describe data requirements and propose several product hypotheses.

By 60 days, we expect a working prototype or technical experiment, clear evaluation criteria, documented findings and a recommendation on whether to continue, change direction or stop the selected hypothesis.

Graphic Designer  – Email Marketing Agency

Full-time · 40 hours/week · Remote-friendly

Position Overview

We are looking for a highly skilled and creative Graphic Designer to join our email marketing agency. In this role you will be responsible for two equally important things: independently designing high-converting email campaigns and landing pages in Figma based on detailed briefings, and independently reviewing email designs created by other designers in our team — evaluating their work, writing precise revision notes per brand, and approving final versions for delivery.

You will work across our diverse portfolio of e-commerce clients, with a strong focus on visual quality, conversion-driven design, and brand consistency. We expect a sharp eye for spacing, hierarchy, and what actually makes advertising creative work — not just designs that look nice, but designs that perform.

Key Responsibilities

1. Email Campaign Design (Figma)

• Independently translate detailed briefings into visually striking, on-brand email designs in Figma.
• Build campaigns that are not only beautiful but optimized for clarity, hierarchy, and conversion across desktop and mobile email clients.
• Maintain pixel-level consistency with each brand's visual identity, components, and design system.

2. Design Review & Revision Management

• Independently review email drafts produced by other graphic designers across all client brands.
• Evaluate work against brand guidelines, performance principles, and our internal quality standards.
• Document clear, structured, actionable revision notes per brand — so that the responsible designer can implement changes without ambiguity.
• Approve and release final designs once they meet our quality bar.

3. Landing Page Design

• Design conversion-focused landing pages that complement email campaigns: visual hierarchy, focal points, CTA placement, and on-brand storytelling.
• Ensure landing pages and emails feel like a single coherent experience for the end customer.

4. Photoshop & Asset Production

• Use Photoshop confidently for retouching, compositing, image preparation, and creative asset production.
• Optimize all visuals for email delivery (file size, format, resolution).

5. AI-Powered Workflow

• Actively use AI tools (Claude in particular) in your daily workflow — for ideation, briefing analysis, copy iteration, asset preparation, and quality checks.
• Stay curious and current. AI tooling is evolving fast, and we expect every team member to evolve with it. Willingness to experiment with new AI workflows is essential.

Required Skills & Experience

• Excellent skills — in landing page design and graphic design — strong portfolio is mandatory.
• Deep understanding — of spacing, white space, hierarchy, contrast, focal points, and what makes advertising creative actually work. Not just aesthetics — effectiveness.
• Advanced — Figma skills — collaborative design, components, auto-layout, design system management, prototyping.
• Strong — Adobe Photoshop skills for image editing, retouching, and asset preparation.
• Demonstrated — ability to evaluate other designers' work, articulate what is and isn't working, and write clear revision notes.
• Comfort — with AI tools (Claude or equivalent) and willingness to integrate them deeply into your daily creative workflow.
• Excellent — written and spoken English. This is a hard requirement — all internal and client communication runs in English.

Key Qualities We Look For

• Reliability — You hit deadlines and deliver consistent quality without supervision.
• Communication — You are responsive over WhatsApp and able to communicate fast and clearly in a small, high-velocity team.
• Constructive critique — You can give feedback to peers that is specific, kind, and actionable — and take feedback the same way.
• Creativity — You bring fresh visual ideas while respecting brand guidelines.
• Process discipline — You can work confidently inside our SOPs but also know when to push for a stronger creative solution.

Nice to Have

• German language skills — helpful for communication with parts of our team and a portion of our client base, but absolutely not required.
• Prior experience designing for Klaviyo or similar ESP environments.
• Experience working in an e-commerce / D2C context.

Working Environment

This is a full-time position (40 hours per week) in a fast-paced agency environment. You will work closely with our founders, account managers, and other designers across roughly 50 active client brands. We value initiative, ownership, and people who actually want to get better — both as designers and at using the tools (including AI) that compound their craft.

About us

We are a leading German email marketing agency specialized in tailored solutions for online shops. Our mission is to grow our clients' customer retention and revenue through professionally designed, data-driven email campaigns built primarily in Klaviyo. We foster a collaborative, supportive environment where creativity and adherence to proven processes are valued equally.

How to Apply

Send your CV and a portfolio that showcases email design, landing page design, and any work where the result was measurably effective (not just visually polished). Tell us briefly how you currently use AI in your design workflow — that part matters to us.

About Us

Mamma Mia Covers is a US-based DTC company serving the American and Canadian markets, and the exclusive distributor of the Italian brand PAULATO by GA.I.CO in the US and Canada.
Since 2018, we've built a recognizable brand in the slipcover category — patented product, sold through Shopify (our DTC website) and Amazon US, with Wayfair growing as our channel into Canada. Featured in Inc. 5000, team of 40+ people, own warehouses in the US.
We're actively expanding into new product categories, testing new ideas, and building the product team that will take us there.

Returns aren't just an operational metric — they affect profit and brand reputation across every channel we sell on. We're growing the team to take this on properly, with someone dedicated to solving it systematically.

The Role

This is an analytical, hands-on role at the intersection of product and data.

We needs someone who owns the problem end-to-end: digging into the real cause behind returns, building and testing hypotheses, and pushing confirmed fixes through to implementation.
This role can suit a Product Manager, an Amazon Account/Catalog Manager, or a Listing Specialist — what matters most is hands-on experience diagnosing and reducing returns, not the exact job title you've held.

What We Offer

Financial Stability: 

• $1,500–2,000/month depending on experience + quarterly bonus
• Transparent, paid 2-month probation period 

Flexible Work Format: 

• Remote, Full-time
• Required overlap 12:00–18:00 Kyiv time (so we can move fast on live issues), flexible outside that window

Learning & Development:

• Professional courses and certifications
• Freedom to implement new tools and processes

Paid vacation: 

• 21 days + extra days off for important personal events

Career Growth: 

• This is a new role, and where it goes next depends on you — either deep into returns as a niche expert (rare on the market, real specialist status), or broader into a full Product Manager scope with returns as a core KPI. Both paths are open.

What You'll Do

Root Cause Analysis

• Deeply analyze the returns situation — independently trace the real cause behind returns for specific SKUs and categories, including your own competitor and market research
• Optionally draw on data support from our Product Research Specialist — but you own the analysis start to finish

Hypothesis & Testing

• Formulate hypotheses (for example: customers perceive a product's color as lighter/darker than shown, or a size chart doesn't match real expectations)
• Test hypotheses through A/B testing of visuals, descriptions, and content variations

Implementation & Results

• Present concrete change proposals to leadership for sign-off
• Implement approved changes yourself, working alongside the R&D team
• Track results after implementation
• Report back with clear conclusions — what worked, what didn't, and the actual impact on return rate — and jointly assess next steps

What We're Looking For

Must have

• Middle+ experience in an Amazon-focused role (2–3+ years) — Product Manager, Account/Catalog Manager, Listing Specialist, or similar — with hands-on, confirmed experience working with returns 
• Real, hands-on experience analyzing returns/reviews/complaints in e-commerce at the SKU level — not theoretical process knowledge, but a confirmed case with measurable positive impact: a specific returns problem you personally worked through, with a result you can point to
• Experience with competitor research
• Confident use of Helium10 or similar research tools
• Experience with A/B testing platforms (PickFu or similar, Amazon Manage Your Experiments)
• Confident with Google Sheets/Excel
• English: Upper-Intermediate+

Nice to have

• Experience testing visual or color perception (part of returns often comes from customers seeing a color lighter or darker than reality)

If this sounds like you

• You're patient and detail-obsessed with numbers — comfortable with methodical, unglamorous data work
• You're self-directed — you see what needs analyzing next without being told where to look
• You communicate findings and proposals clearly and in a structured way, in writing and out loud
• You stay focused on your own metric and don't get pulled into other people's tasks

Apply and tell us about a specific returns or product issue you diagnosed and fixed — what changed, and what the measurable result was. We review every application personally and get back within 3 business days.

Responsibilities:

• Create, launch, and manage advertising campaigns on Facebook
• Analyze campaign performance and implement ongoing optimizations
• Maintain accurate campaign reporting and performance tracking
• Test new hypotheses and document results and insights
   

Requirements:

• 2+ years of hands-on experience running Facebook Ads campaigns
• Strong analytical skills: ability to work with large data sets, develop hypotheses, test them, and make data-driven decisions
• Experience navigating moderation for niche or restricted topics on Facebook
• Creative problem-solving skills and ability to think outside the box
   

We Offer:

• Competitive salary (tied to foreign currency)
• A team of top professionals and continuous development opportunities
• Flexible schedule (start your day between 8 AM and 11 AM, 8-hour workday)
• Medical insurance
• Paid vacation and sick leave
• L&D Center with training courses for employees and top managers
• Internal rotation program
• Self-learning library and access to paid courses
• Discount program
• Work remotely or from the office — your choice
• Group discussions and individual sessions with a psychologist

Short overview of the project (What technology stack is used on the project, and length of the project)

AI tourism platform looking for a Team Lead Product Engineer who uses AI to ship fast.

📚 Our stack:

Backend: Go monorepo (no framework, 3+ services)

Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose

Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Asynq queue

Databases: PostgreSQL, Redis

AI tooling: Claude Code (mandatory)

🚢 Products you will lead a pod on:

An AI search & recommendation engine for major travel enterprises: heavy client integration work (SSO, security reviews, GDS integrations) with demanding enterprise customers

A content enrichment API: high-scale, data- and AI-focused backend work

Partner and supplier integrations, data ingestion pipelines, LLM providers

Employment and number of hours per week/month (part-time, full-time, freelance)

Engagement: full-time, 40 hours/week

Candidate’s location and required Time Zone for work

Location: remote, within ±3 hours of CET

Timezone is the main priority, so your usual scope of EU and Ukraine within the required overlap works well. 

Language of communication

Language: English required

Functional responsibilities (What will an employee do on the project?)

⚠️ European or African timezones (±3 hours from CET) Available full-time (40 hours/week)

⚠️IMPORTANT: This is not a traditional coding role. You'll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also: we have no QA team, you OWN the quality of what you ship!

A Team Lead is the spokesperson, coordinator and facilitator for their pod, internally with product, design and leadership, and externally with clients. You come from the management path, not the deep-specialist path: you have seen a lot as a developer and have consciously decided that enabling a team, working with clients and driving product outcomes is what energises you now, not coding all day.

You remain a hands-on engineer. Expect roughly 30-40% of your week on coordination, client and product work, and the rest as an individual contributor. This is not an HR-style people-management role: no performance reviews, no career coaching. As we scale, light one-on-ones and check-ins may become part of it, but the job is coordination and delivery, not administration.

What you'll actually do:

Be the spokesperson for your pod, internally with product, design and leadership, and externally with clients and partners

Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers and facilitate hand-offs (lightweight project management, we deliberately have no project managers)

Gather client requirements first-hand and funnel them straight into the pod so nothing gets lost in translation

Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs

Help pod members with product decisions and prioritisation, enabling engineers who may be technically stronger than you

Contribute hands-on as an engineer: own features end-to-end, use Claude Code to generate Golang backend code, review AI output for quality and architectural fit

Join client meetings to align on requirements, report on delivery and keep the relationship professional and calm

Requirements for a candidate

Min 5 years of experience

2-3+ years of technical leadership experience leading a team, squad, pod or similar unit (a hard must, think team lead or early-stage engineering manager)

A developer's background (5 years minimum): you have seen production reality with your own hands before moving towards leading people

A genuinely product-driven mindset: you think about user value and business outcomes before implementation

Comfort facilitating and coordinating a pod without relying on formal authority

Willingness and ability to take part in client meetings and act as the external face of your pod

Excellent spoken and written English for planning sessions, stakeholder updates and client conversations

Ownership mentality with a strive for elegantly simple, high-quality solutions; you test your own work thoroughly since we have no QA team

Proven experience using Claude Code, share specific examples

Solid Golang experience, you'll review AI's code and you must understand how it works

Ability to do on-call once in a while to help maintain our platform's reliability & uptime

Must-Have Requirements (Team Lead — no flexibility on any)

Go (Golang): Real production experience, not just personal projects. No flexibility on other technologies.

AI/backend engineering: Deep knowledge of building and productionizing complex AI systems — observability, reliability, quality

Product mindset: Ability to think beyond engineering toward product outcomes

Leadership: Capable of leading without needing coaching or internal mentoring

English communication: Very strong, given client-facing responsibilities

Minimum 5 years of experience across the board

Candidates should be responsible for testing their own code — QA ownership expected

The Team Lead will head a small pod (not a traditional manager with direct reports)

Client-facing responsibilities begin from onboarding, with full client-facing ownership expected to grow over time

Also they will have on-call duties (now it’s during working hours and weekends, rotation among team members, but later they want to have 24/7 on call, so one person will be on-call for 24 hours (probably) and it will be compensated extra). 

Nice-to-Have

German language: A significant bonus but not required — the one criteria the client can flex on

Any special requirements for the person 

❤️ You are a great fit if you:

Made the classic developer's fork-in-the-road decision, lifelong engineer or leading people, and chose people, clients and product

Are energised by product planning sessions and have opinions about what the pod should build next, not just how

Are comfortable being the face of your pod, in internal planning rooms and on calls with enterprise clients

Enjoy enabling engineers who are technically stronger than you

Job Summary:

We are seeking a skilled and motivated Network Engineer to join our IT team. The ideal candidate will be responsible for designing, implementing, managing, and troubleshooting network infrastructure to ensure optimal performance and security. This role requires a strong understanding of networking protocols, hardware, and security best practices.

Key Responsibilities:

• Design, implement, and maintain secure and scalable network infrastructure for the company and its clients.
• Monitor network performance and troubleshoot issues to ensure minimal downtime.
• Configure and manage firewalls, routers, switches, and other network devices.
• Implement security measures to protect network systems from cyber threats.
• Collaborate with IT teams to support enterprise-wide projects and infrastructure upgrades. 
• Process network related parts of projects at a scheduled time.
• Perform network capacity planning and optimize performance.
• Maintain and update documentation for network maps/diagrams, configurations and processes.
• Provide technical support and training to internal teams as needed.
• Troubleshoot any network outages, based on 24/7 rotation schedule
   

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Strong knowledge of TCP/IP, LAN/WAN, VPN, firewalls, and network security.
• Experience with CheckPoint, FortiGate, or other networking hardware.
• Familiarity with network monitoring and diagnostic tools (Zabbix, LogicMonitor, Prometeus, etc…) .
• Knowledge of cloud networking solutions (AWS, Azure, or Google Cloud) is a plus.
• Industry certifications such as FCP, CCNP, or equivalent are preferred.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to communicate effectively with clients in English.
• 24/7 availability for any network outages, according to on-call rotation schedule
   

Benefits:

Competitive salary.
Paid time off and US holidays.
Career development opportunities and certification reimbursements.
Remote work environment.
 

Join us and be a part of a dynamic team driving innovation and excellence in networking solutions!

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We are looking for a Google Workspace Solutions Engineer to take full technical ownership of domain configurations, tenant architectures, user onboarding workflows, and complex migrations for our enterprise clients.

This is a client-facing, hands-on engineering role where precision is everything. You will lead end-to-end migration projects, enforce zero-trust security policies, and build seamless third-party SaaS integrations—ensuring smooth transitions with zero unexpected business downtime. While we look for solid technical fundamentals, you don't need to tick every single box on day one. If you bring strong engineering habits and a sharp troubleshooting mindset, we are fully prepared to train and upskill you on the specialized tools and workflows you need to succeed. 

Responsibilities

• Migration & Implementation Ownership: Lead end-to-end Google Workspace deployments, domain cutovers, tenant architectures, and data migrations for SMB and enterprise clients across EMEA.
• Ongoing Client Support & Advisory: Act as a reliable technical point of contact post-implementation—assisting clients with system maintenance, troubleshooting operational requests, and helping them maximize their Workspace environment.
• Security & Compliance Hardening: Implement identity governance, security policies, data protection (DLP), and authentication frameworks (SSO, SAML) integrated with IdPs like Okta and Azure AD/Entra ID.
• Technical Architecture & DNS Control: Configure, manage, and troubleshoot complex mail routing, tenant structures, and DNS records (MX, SPF, DKIM, DMARC) across providers like Cloudflare and Route53.
• Process Automation: Leverage CLI tools (GAM) and Google Workspace APIs to automate bulk provisioning, migration workflows, and administrative tasks.
• Change Management & Client Advisory: Act as the trusted technical lead during deployments—guiding non-technical stakeholders through platform changes, workflow shifts, and post-go-live support with clarity and empathy.
• Troubleshooting & Diagnostics: Serve as the final escalation point for diagnostic challenges, including DNS propagation delays, sync errors, and API quota management.

Requirements

• Experience & Seniority: 3+ years of overall experience working with SaaS or Cloud platforms, including hands-on experience administering or configuring Google Workspace
• Tooling & Technical Stack: Deep, practical experience using Google Workspace Migration Tools (GWMMO, GWMME, GCPME), GAM, Google APIs, and advanced DNS management platforms.
• Identity & Authentication: Hands-on experience configuring SSO, SAML, and Directory Integrations using major Identity Providers (Okta, Azure AD/Entra ID).
• Protocol & Security Mastery: Sharp, fundamental understanding of email architecture, routing, and verification protocols (SPF, DKIM, DMARC, MX record prioritization).
• Project Ownership & Detail Focus: Proven track record of taking full technical accountability for migration outcomes with zero tolerance for unverified data or skipped DNS validation.
• Communication & Stakeholder Management: Excellent client-facing skills with the ability to explain complex technical migrations clearly to non-technical business leaders.

• Languages: B2/C1 (Upper-Intermediate to Advanced) English for leading technical discovery meetings, client presentations, and documentation.

   

Would be a plus

• Professional Google Workspace Administrator Certification.
• Experience with additional cloud identity providers or third-party email security gateways (e.g., Proofpoint, Mimecast).
• Scripting capability (Python, Apps Script, or Bash) to extend Google Workspace APIs and automated workflows.

Work Conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and SaaS solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA region.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).

Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a Junior JavaScript + Java Developer to join our team and contribute to the development and support of a modern CRM system.

You will work across both frontend and backend, using JavaScript/React and Java, while gaining practical experience with APIs, data processing, third-party integrations, and real-world product development.

This role is a great opportunity for a junior developer who wants to strengthen their JavaScript skills while also developing a solid foundation in Java backend development and gradually grow into a full-stack engineer.

Responsibilities

• Develop and maintain web applications using JavaScript, React, and Java
• Work with Java-based backend services and RESTful APIs
• Implement and support frontend functionality using React
• Integrate third-party services and APIs
• Work with data parsing, transformation, and processing
• Write clean, readable, and maintainable code
• Debug issues and improve application performance
• Work with JSON, HTTP, asynchronous operations, and data structures
• Collaborate with developers and stakeholders in an Agile environment

• Participate in code reviews and gradually take ownership of development tasks

   

Requirements

• Basic to intermediate knowledge of JavaScript
• Basic understanding of React
• Basic knowledge of Java and object-oriented programming
• Understanding of REST APIs, HTTP, and client-server architecture
• Familiarity with HTML, CSS, and browser Developer Tools
• Understanding of JSON, data structures, and asynchronous programming
• Basic understanding of Java backend concepts and ability to work with existing Java code
• Familiarity with Git and version control workflows
• Ability to write or understand basic scripts for data parsing and transformation
• Basic understanding of databases and SQL
• Good problem-solving skills and willingness to learn

• English: Upper-Intermediate or higher

   

Nice to Have

• Experience with Spring / Spring Boot
• Experience with Node.js
• Knowledge of PostgreSQL, MongoDB, or other databases
• Experience with Postman or similar API testing tools
• Understanding of Maven or Gradle
• Experience with Java-based backend systems
• Any experience using or integrating AI-powered tools or services
• Exposure to Agile / Scrum workflows

• Experience working with third-party APIs or integrations

   

What We Offer

• Competitive salary and bonuses
• Remote-first culture
• Flexible schedule
• Open-minded, results-driven environment
• Opportunity to work with both JavaScript and Java
• Mentorship and opportunities for professional growth
• Product ownership and real impact on the development process

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
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• 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.

About the role

We're looking for a Frontend Engineer to build and maintain a data-heavy internal web application: a React + TypeScript SPA backed by a Python service API with real-time updates. You'll own features end to end — from API contract discussion through UI, tests, and release.
 

What you'll do

• Build and maintain features in a React + TypeScript client, following an explicit, layered frontend architecture.
• Design accessible, responsive UI with a utility-first CSS framework and headless component primitives.
• Implement data flows against an OpenAPI-described backend, keeping client types generated and in sync with the API.
• Build complex views: data tables, large/paginated lists, filters with URL-persisted state, and validated forms.
• Maintain and extend internationalization coverage.
• Write and maintain unit, integration, and end-to-end tests.
• Keep quality gates green: linting, formatting, type checks, pre-commit hooks, CI.
• Collaborate with backend engineers on API design and participate in code review.
   

Required

• 3+ years building production frontends with React and TypeScript, with strong typing discipline (generics, discriminated unions, modeling state so invalid states are unrepresentable).
• Strong CSS and layout fundamentals; experience with a utility-first framework and headless/unstyled component libraries.
• Experience with server-state management, client-side routing, and form handling in React.
• Practical testing experience across unit, integration, and E2E layers.
• Comfort with modern frontend tooling and build systems, Git-based workflows, and PR review.
• Ability to read an API spec and work from generated types; basic comfort running a containerized local stack.
   

Nice to have

• Experience with a formal frontend architecture methodology.
• Real-time UIs (WebSockets or similar transports).
• Internationalization at scale.
• Reading-level Python to navigate the backend and unblock yourself.
• Performance work: bundle analysis, code splitting, rendering optimization for large datasets.
• Accessibility (WCAG) experience.

Applause is a profitable, well-capitalized operator of consumer subscription apps across privacy, security, health, productivity, and accessibility. The model is simple: acquire high-retention, category-leading apps and scale them. 

The apps already have top 1% retention, strong brands, and high organic traffic, so paid growth compounds on proven products instead of propping up weak ones. There is real budget behind growth that works.

Area of influence

• You set up the growth function from scratch and own it end-to-end — the campaign infrastructure, the measurement layer, the reporting, and the playbooks that make paid growth repeatable across many apps. This is a builder-operator role: you're expected to build the systems, not just run the accounts.
• Stand up the measurement and reporting backbone yourself: pipelines from network and MMP APIs, internal dashboards, and budget/creative automations. Comfort in SQL and Python (or equivalent) to build this rather than wait on a data team is a core part of the job.
• Build and own trustworthy attribution across a multi-app portfolio: layered MMP-based setup with S2S/CAPI and event deduplication, probabilistic and network-native models (Meta AEM, TikTok Attribution Flex), with SKAN as one input among several — reconciled against your own backend numbers so the payback math holds up.
• Plan, launch, and optimize paid UA hands-on across Apple Search Ads, Google, Meta, TikTok, and paid web — owning budgets, bids, audiences, and creative testing against payback and CAC targets per app.
• Build and pressure-test your own cohorted LTV and payback models rather than trusting platform-reported ROAS — and use that predicted-LTV number as the gauge for budget and profitability decisions across every app.
• Drive organic acquisition in parallel with paid — ASO, store-listing conversion, and web-to-app / web-to-web flows — so the top of the funnel grows through every lever, not just paid spend.
• Generate the experiment roadmap independently: bring your own ideas for new channels, creative angles, and tests, size them by expected payback, and run them without waiting for a task list.
• Own secondary paywall and funnel optimization, and coordinate lifecycle (email/push) support — partnering with the lifecycle and analytics hires so monetization and retention keep pace with the traffic you drive.
• Report results, learnings, and forecasts to the CEO weekly, and brief app GMs on what's working, what isn't, and what you need from them to scale. Flat structure, direct communication, fast decisions.

Who are we looking for

• Has personally deployed meaningful paid spend at a consumer subscription company (on the order of $10M+/year, or smaller budgets run with real rigor), with direct ownership of the numbers and outcomes.
• Genuinely technical: builds their own reporting, attribution, and automation in SQL/Python — not just an operator of dashboards someone else maintains. Has stood up API pipelines and rules-based ad-management automations before.
• Deep, hands-on fluency with the modern app-growth stack — an MMP (AppsFlyer, Adjust, or Singular), a product-analytics tool (Amplitude/Mixpanel), paywall/funnel tooling, and lifecycle (Customer.io or similar) — or has built the equivalent in-house, with strong, specific opinions on which tools to use and why.
• Modern about measurement: comfortable with probabilistic and network-native attribution, SKAN-aware, and runs real incrementality checks. Builds and pressure-tests LTV and payback models rather than taking platform ROAS at face value.
• Has operated across multiple apps or product lines at once and can context-switch across a broad portfolio (three to seven-plus apps) without letting performance slip.
• Thinks in unit economics and profitability thresholds, works well in a flat, communicative team, and is proactive — brings the roadmap rather than waiting for one.

Team & Background

A genuine player-coach: expected to execute campaigns directly today, with a clear path to hire and lead a small growth team as the portfolio scales.

Knows exactly what to keep in-house versus outsource, and can name the first few hires and vendors they would line up for each function.

Background skews scrappy and operator-heavy rather than corporate: founders, early-stage operators, and people who have built a growth function from zero

Ready to level up your career?

Playtech's DevOps Team is looking for a proactive DevOps Team Leader who combines strong technical expertise with leadership skills to join the team in Ukraine. 

Job Description

Your influential mission. You will...

• Resolve most complex DevOps tasks.
• Lead the team of Product Operations and DevOps engineers.
• Comprehensive audit of the existing service management processes and improvement planning.
• Establish key operational performance indicators and plan.
• Provide immediate respond for any alert.
• Liaise with SL1/SL3, 3rd parties and internal stakeholders.
• Provide regular reports to direct manager.

Qualifications

Components for success. You... 

• Bachelor’s Degree in Computer Science or Engineering
• 5+ years experience as DevOps engineer or SRE engineer, 1+ years of leading/management experience.
• Strong understanding of ITIL framework. Hands-on experience of working with production with zero tolerance to any errors.
• Strong experience in Linux, network, Docker, configuration management tools (Ansible, Puppet), CI/CD tools (Git, Jenkins), Cloud services (AWS), Orchestration (Kubernetes, Nomad); 
• Experience in writing infrastructure as code (IaC) using Terraform; 
• Experience of working with monitoring systems (Grafana, Prometheus, Nagios/Sensu) and logging solutions (Elastic Stack, Loki). 
• Excellent oral and written skills with the ability to interact with senior management, technical subject matter experts, and business customers are all essential in this role. 
• Ability to work on multiple initiatives and projects simultaneously. 
• Programming skills in Python/Bash. 
• Fluent English. 

You'll get extra points for... 

• Experience in support of web applications with micro services architecture.
• NoSQL database support (MongoDB, Redis).
• Experience working in a global, multilingual organization.

Additional Information

DEVOPS TEAM 

Our team plays a key role in designing and developing high-quality software solutions for our online platform, shaping the future of online gaming. Within our team, you will acquire overall expertise of Playtech’s structure and products. 

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.