Jobs at Djinni

We are looking for a performance-focused copywriter who can write paid social ads and manage the UGC process from brief to final asset.

Responsibilities:

• Copywriting and creative
• Write hooks, angles, ad copy, and short-form video scripts for paid social.
• Turn customer research, reviews, comments, and ad data into testable creative ideas.
• Write copy that sounds natural, specific, and appropriate for the creator or platform.
• Review ad performance and identify what should be repeated, changed, or dropped. UGC management
• Find and organize UGC creators for different products and creative concepts.
• Write clear briefs covering the hook, talking points, footage, tone, and call to action.
• Manage communication, deadlines, revisions, usage rights, and final deliverables.

What we are looking for:

• Experience writing performance or direct-response copy for paid social.
• Experience writing short-form video or UGC scripts.
• Strong understanding of hooks, angles, objections, and calls to action.
• A portfolio showing relevant ad copy, scripts, or UGC work.

Experience with Meta, TikTok, YouTube, creator platforms, or creative testing systems is a plus.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Engineer to join our growing Data & Analytics practice and build modern data solutions for our customers on AWS.

This is a highly hands-on engineering role. You’ll work across different customer environments and data challenges, from modernizing legacy pipelines and building lakehouse platforms to optimizing analytical workloads and owning smaller data platforms end-to-end.

You won’t be limited to one stack or one long-running product. One project may involve Spark and Apache Iceberg, another Redshift performance and data modeling, and another Kafka, OpenSearch, or a new data platform built from ingestion through analytics.

We’re looking for someone who can take ownership of a data engineering problem, make sound technical decisions, and deliver independently without needing constant direction.

📍 Work location: Ukraine, remote

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Design, build, and optimize production data pipelines and data platforms on AWS.
• Build scalable data processing workloads using Spark/PySpark, Python, and SQL.
• Build and modernize data lakes and lakehouse architectures, working with technologies such as Amazon S3, Apache Iceberg, AWS Glue, and related data services.
• Design, troubleshoot, and optimize analytical workloads and data warehouses, including Amazon Redshift and other OLAP platforms.
• Modernize legacy and inefficient data workloads, including moving existing ETL/ELT processing to scalable distributed data architectures.
• Work with streaming and event-driven data pipelines using technologies such as Kafka, Kinesis Data Firehose, and related services.
• Investigate real production data problems, from performance bottlenecks and data modeling issues to upstream/downstream dependencies, and recommend practical solutions.
• Take ownership of customer projects end-to-end, from understanding the technical problem through implementation, testing, and delivery.
• Work directly with customers when needed to clarify requirements, explain technical decisions, and recommend solutions based on your expertise.
• Build data foundations for analytics and ML workloads, collaborating with Data Scientists, DevOps, and MLOps engineers.
• Contribute to dashboards and analytics when required using QuickSight or other BI tools.

• Apply practical engineering practices around data quality, testing, CI/CD, security, governance, and infrastructure automation.

   

Requirements

• Strong production experience in Data Engineering, with the ability to independently own and deliver data projects.
• Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
• Strong Python and SQL skills.
• Hands-on experience building data solutions on AWS.
• Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
• Experience with analytical databases and data warehouses. Strong Amazon Redshift experience is highly valuable; deep experience with platforms such as Snowflake, Synapse, or similar OLAP technologies is also relevant.
• Understanding of streaming architectures and technologies such as Kafka or Amazon Kinesis.
• Ability to troubleshoot existing data systems, understand how data flows across upstream and downstream components, and improve performance and reliability.
• Ability to work autonomously, make pragmatic technical decisions, and take responsibility for delivery.

• Good communication skills and the ability to discuss technical problems and solutions directly with customers in English.

   

Nice to have

• Experience with Apache Iceberg or other modern open table formats and lakehouse technologies.
• Amazon OpenSearch Service / Elasticsearch experience.
• Experience with BI and visualization tools such as Amazon QuickSight, Tableau, or Power BI.
• Terraform and Infrastructure as Code.
• CI/CD practices for data pipelines, including data testing and validation.
• Experience preparing data platforms for ML workloads using services such as Amazon SageMaker.
• Exposure to Amazon Bedrock, GenAI, or agentic development.

• Experience with Databricks, Snowflake, ClickHouse, or other modern data platforms

   

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.

• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program — enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our

The Defense Procurement Agency (DOT) is a state-owned enterprise responsible for procuring military equipment, ammunition, UAVs, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine's defense capabilities by ensuring reliable procurement and supporting the development of the national defense industry.

Our vision: To become the driving force behind a modern defense procurement ecosystem built according to NATO standards.

We are looking for an ERP Developer (.NET) to help develop, maintain, and enhance our corporate ERP platform, automate business processes, build system integrations, and ensure the stable operation of mission-critical enterprise services.

Responsibilities

• Develop, maintain, and improve the corporate ERP system according to business needs.
• Analyze business requirements and participate in solution design and technical implementation.
• Configure and support business processes, workflows, documents, directories, reports, and approval routes.
• Develop and maintain integrations with internal and external systems using APIs, databases, file exchange, and other integration mechanisms.
• Work with relational databases, write and optimize SQL queries, validate data integrity, and troubleshoot data issues.
• Participate in testing, release management, incident investigation, bug fixing, and production support.
• Create and maintain technical documentation for implemented features, integrations, configurations, and data processing logic.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2+ years of experience working with ERP or enterprise information systems.
• Experience analyzing business requirements and configuring business processes, workflows, documents, reports, or approval routes.
• Strong SQL skills and hands-on experience with relational databases.
• Understanding of system integration principles and experience with APIs or other data exchange mechanisms.
• Basic knowledge of C#/.NET or another backend technology is a plus.
• Experience with testing, troubleshooting, and technical documentation.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to system reliability and software quality.
• Willingness to work with both new development and legacy systems.
• Strong communication skills and ability to collaborate with technical teams and business stakeholders.
• Ability to work independently and take ownership of assigned tasks.
• Zero tolerance for corruption.

Nice to Have

• Hands-on experience with IT-Enterprise ERP.
• Experience developing or supporting IT-Enterprise modules.
• Experience automating document management and approval workflows.
• Experience with procurement, finance, warehouse, inventory, or accounting processes.
• Experience working in government institutions or large enterprise environments.

What We Offer

• Work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to work on large-scale enterprise systems with real national impact.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are looking for a Head of Data Governance to establish and lead the organization's enterprise Data Governance function. In this role, you will define the vision, policies, standards, and governance framework for managing data across the organization, ensuring high-quality, trusted, and well-governed data that enables informed decision-making and supports large-scale digital transformation initiatives.

Responsibilities

• Lead the design, implementation, and continuous improvement of the organization's Data Governance framework.
• Develop and maintain enterprise-wide data policies, standards, methodologies, and governance processes.
  Establish and enhance Master Data Management (MDM), Reference Data, Metadata Management, and Data Quality practices.
• Define data ownership, stewardship, governance roles, and accountability across business units.
• Develop data quality standards, monitoring processes, and governance controls.
• Collaborate with business stakeholders, analysts, architects, and engineering teams to define enterprise data requirements.
• Contribute to enterprise data models and integration requirements across corporate information systems.
• Prepare governance documentation, methodologies, standards, and best practices.
• Ensure Data Governance principles are embedded into the implementation of new enterprise systems and digital services.
• Build, lead, mentor, and develop the Data Governance team while driving collaboration across the organization.

Requirements

• Bachelor's degree in Information Technology, Applied Mathematics, Economics, Finance, or a related field.
• Proven experience in Data Governance, Data Management, Business Intelligence, Business Analysis, or related disciplines.
• Hands-on experience implementing or improving Data Governance, Master Data Management (MDM), Data Quality, or Metadata Management initiatives.
• Strong understanding of Data Governance principles, data lifecycle management, and enterprise data architecture.
• Experience developing enterprise policies, standards, governance frameworks, or methodological documentation.
• Experience collaborating with business and technology teams to define and implement enterprise data requirements.
• Understanding of enterprise platforms such as ERP, CRM, BI, Data Warehouse, or similar systems.
• Experience leading teams or coordinating cross-functional initiatives.
• Strong analytical thinking, structured problem-solving, and stakeholder management skills.
• English proficiency at Intermediate level or higher.

Nice to Have

• Experience with SQL, Power BI, or other Business Intelligence platforms.
• Experience implementing Business Glossary, Data Catalog, or Metadata Management solutions.
• Knowledge of DAMA-DMBOK, DCAM, or other Data Governance frameworks.
• Experience supporting enterprise digital transformation programs.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to establish and scale an enterprise-wide Data Governance function within one of Ukraine's most strategically important organizations.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.

About Softprom

Softprom is a value-added IT distributor founded in 1999 and headquartered in Vienna. For 27 years, the company has operated across Central and Eastern Europe, the Caucasus, and Central Asia — today spanning 33 countries, with a team of 150+ professionals, 120+ global technology vendors, and 1,200+ IT solutions across five practices: cybersecurity, cloud services, IT infrastructure, security systems, and CAD & graphics.

About the Role

We are looking for a System Administrator to provide day-to-day support for our employees and manage our corporate systems. You will be the first point of contact for internal users and will work closely with the Head of IT Operations.

Responsibilities

Provide user support: handle requests and incidents

Administer corporate accounts: Google Workspace, Ringostat, HubSpot, NetSuite

Onboard new employees: create accounts, set up access, prepare equipment

Offboard departing employees: deactivate accounts, process equipment returns, revoke access

Manage and track IT equipment (laptops, peripherals)

Configure and support VPN and network connections for remote employees

Monitor the health of corporate services

Maintain documentation: guides, knowledge bases, IT procedures

Participate in the rollout of new IT tools and services

Ensure compliance with information security policies

Requirements

2+ years of experience in IT administration or technical support

Experience administering Google Workspace or Microsoft 365

Basic knowledge of networking technologies (DNS, DHCP, VPN, TCP/IP)

Administration-level experience with Linux and Windows

Experience working with ticketing systems

Attention to detail, accountability, and a customer-oriented mindset

English — Intermediate level or higher (for communication with an international team)

Ability to work independently in a remote setting

Nice to Have

Experience supporting remote teams across different countries and time zones

Familiarity with cloud platforms (AWS, GCP)

Basic understanding of information security principles

Scripting experience (Bash, PowerShell, Python)

What We Offer

A fully remote role (office visits only when required by specific tasks)

The opportunity to work in a technology company with an international team

Room to grow into cloud technologies

Professional development and access to leading vendor technologies

About Softprom

Softprom is a value-added IT distributor founded in 1999 and headquartered in Vienna. For 27 years, the company has operated across Central and Eastern Europe, the Caucasus, and Central Asia — today spanning 33 countries, with a team of 150+ professionals, 120+ global technology vendors, and 1,200+ IT solutions across five practices: cybersecurity, cloud services, IT infrastructure, security systems, and CAD & graphics.

About the Role

We are looking for an experienced Head of IT Operations to take full operational ownership of the company's internal IT infrastructure. You will be responsible for the smooth running of IT services for a distributed team across 14+ countries, will manage our IT administrators, and will drive the development of our internal IT processes.

Responsibilities

Own operational management of the company's internal IT infrastructure

Lead the team of IT administrators (assign tasks, oversee execution, support team growth)

Ensure the uninterrupted operation of corporate services and systems for 100+ employees across 14 countries

Organize and manage IT support for end users

Manage corporate accounts: Google Workspace, Ringostat, HubSpot, NetSuite

Oversee employee onboarding and offboarding (equipment, account, and access setup)

Manage IT assets (equipment, licenses, subscriptions)

Develop and maintain IT policies and procedures

Monitor and ensure the availability of internal services

Plan the IT operations budget and optimize costs

Collaborate with the CIO on strategic IT initiatives

Work with the Information Security Manager on the rollout of security policies

Requirements

3+ years of experience in IT operations or system administration

2+ years of experience managing an IT team

Administration-level experience with Linux and Windows

Strong knowledge of Google Workspace

Experience working with ERP/CRM systems

Experience with cloud platforms (AWS, GCP, or Azure)

Experience managing IT assets and licenses

Understanding of networking technologies, VPN, DNS, and core information security principles

Experience building or improving IT processes

English — Upper-Intermediate level or higher

Independent, proactive, and able to work autonomously in a remote environment

Nice to Have

Administration-level knowledge of AWS services

Experience implementing ITSM systems (Jira Service Management, Freshservice, etc.)

Certifications: ITIL, AWS Cloud Practitioner, Google Workspace Admin

What We Offer

A remote role (office visits only when required by specific tasks)

The opportunity to work in a technology company with an international team

The chance to build IT operations and shape processes from the ground up

Professional development and access to leading vendor technologies

We are looking for a senior data engineer with deep Databricks experience to own the data platform behind one of our largest enterprise accounts and lead its migration from AWS to Databricks.

About the role

Data infrastructure is the foundation of everything we deliver. Our models, dashboards, and the decisions our clients make on top of them are only as reliable as the pipelines underneath, which is why we put the platform first.

You will join a small senior team working inside the client's environment. Through the rest of 2026 you will take ownership of the existing pipelines and the architecture around them. From 2027 you will lead the migration to Databricks: designing the target architecture, planning the cutover, and doing the implementation. This is a hands-on engineering role with real architectural authority. You decide how the platform gets built, and then you build it.

You will be the person the team turns to on anything Databricks, working alongside senior machine learning engineers and data scientists who depend on what you deliver.

What you will do:

• Design and build the target Databricks architecture, and plan the migration from the current AWS stack
• Build and maintain production data pipelines: ingestion, transformation, and orchestration
• Own data quality, including the checks and alerts that catch problems before the client does
• Design the data models the analytics and machine learning work sits on
• Support the pipelines you build: monitoring, alerting, and the on-call reality of production data
• Work directly with the client's engineers, and explain technical decisions to people who are not engineers

Requirements:

• Five or more years in data engineering or software development
• At least three years of production Databricks work
• Deep experience with Spark, Delta Lake, and Unity Catalog
• Has planned and executed at least one migration onto Databricks from another platform, and can walk through the challenges
• Expert Python: clean modular code, comfortable with optimization and profiling
• Advanced SQL and relational database work: raw SQL, data modeling, scripted migrations
• Systems design: how storage and compute fit together, end to end pipelines, containerized applications
• Cloud operations on AWS or equivalent: networking, identity and access management, monitoring and alerting, and the domain knowledge for why things break
• Comfortable working inside a client's environment, with their data and their constraints
• Strong written English, and spoken English good enough to present your work
• Available for some overlap with United States working hours

Nice to have:

• Databricks certification
• Deep AWS experience specifically, since that is the platform we are migrating from
• dbt, Airflow, or a similar transformation and orchestration framework
• Machine learning pipeline experience, since models run on top of what you build
• Background in utilities, energy, telecoms, or another regulated industry
• Experience being the senior engineer a client relies on directly

You are:

• Careful with data quality, and you ask when something looks wrong instead of guessing
• A self starter who can turn a general requirement into a specific estimate and a deliverable
• Someone who documents. We write things down, and every number we deliver carries its source
• Comfortable in a small remote team where nobody is checking your hours

About Bennett Data Science

We have spent ten years building predictive analytics and data science for enterprise clients, from some of the largest companies in the world to startups in Silicon Valley. Our engineers sit inside the client's systems and build critical systems. The work ships to production and lands at the bottom line.

What we offer:

• Competitive compensation, reviewed as you grow
• Work from anywhere, with a flexible schedule
• A small senior team, so your work is visible and your decisions are important
• Direct exposure to enterprise clients and the problems they actually have
• Mentorship from senior staff, and the space to grow and mentor others

CubicMind AI Ltd is a UK-based early-stage deep tech startup building the next generation of AI-powered computer control devices. We are developing an edge AI device that runs AI models directly on-chip, enabling real-time screen understanding and autonomous computer control. We move fast, work close to the metal, and care deeply about performance and real-world impact.

About the Role:
We are looking for a smart, autonomous C++ Engineer to join our core team. You will be working directly with the founder on optimizing, converting, and deploying AI models onto custom hardware. This is not a standard web-dev role — you will deal with low-level memory management, ONNX runtimes, NPU acceleration, and model debugging.

Since we are a fast-paced startup, we don’t do daily micromanagement or endless meetings. We expect you to take ownership of your tasks, debug aggressively, and communicate blockers proactively.

Must-Have Qualifications:

• Strong knowledge of C++ and low-level programming concepts (memory management, pointers, concurrency).
• Solid understanding of computer architecture (how CPU/GPU/memory interact at a low level).
• Strong mathematical background (Linear Algebra, Calculus).
• University degree completed (no ongoing exams or heavy university commitments).

• High autonomy and problem-solving mindset: you don’t give up when a script throws a cryptic error; you dig into the source code.

   

  Nice-to-Have (or willing to learn fast):

• Some commercial experience in C++ development (6-12 months).
• Basic understanding of Machine Learning concepts.
• Understanding of how LLMs, Transformers, and Attention mechanisms work under the hood.
• Experience with ONNX, tensor operations, or hardware deployment.

Offer:

• Starting with $650-1000/month salary depending on your skills. If you are doing well - rise after 3 months
• Fully remote work with a flexible schedule.

Cloud Security · Runtime Threat Detection · Java · Selenide · Kubernetes · Terraform · Multi-Cloud

Every bug you find is one an attacker doesn't get to use. At this level, every bug you prevent is worth ten of them.
 

The stakes

Upwind is a runtime-powered cloud security platform. Our customers hand us their production cloud environments — AWS, Azure, GCP — and trust us to catch what's wrong: vulnerabilities, misconfigurations, exposed identities, live attacks in progress.

When a dashboard renders empty while CVEs exist in the data, a customer believes they're clean when they're not. When onboarding silently half-fails, an account goes unmonitored. When a detection fires against the wrong resource, an incident responder chases the wrong host.

Those aren't cosmetic defects. That's the line between a security product and a security theater product. We're hiring someone senior enough to hold that line across the platform, not just inside one feature.
 

What you'll own

Test strategy across product areas — cloud onboarding, vulnerability and image scanning, CSPM and compliance, inventory and identity correctness, runtime threat detection. You decide what gets tested, at what depth, and where the real risk sits. You'll be the person other engineers ask before shipping.

Automation architecture, not just test cases. Own the design and direction of our Java + Selenide WebUI framework: structure, patterns, page object design, test data strategy, parallelization, reporting, CI integration. Decide what belongs in UI automation and what belongs at the API layer — and say no to UI tests that shouldn't exist.
 

Testability as an engineering problem. Drive standards into the product itself — stable data-testid conventions, deterministic test hooks, seedable environments — so that a frontend refactor stops invalidating hundreds of tests that found no defect. This means writing proposals, winning agreement from frontend and backend leads, and seeing adoption through.
 

Release quality gates. Define exit criteria and risk-based prioritization for releases. Run and sign off regression cycles. Make the call on whether something ships — and be able to defend it with evidence.
 

Deep infrastructure work. Onboard AWS accounts and organizations via CloudFormation and Terraform, Azure tenants, GCP projects — and verify off-boarding genuinely cleans up. Deploy the Upwind Operator on EKS via Helm and host agents on EC2. Design and generate QA workloads that exercise detection paths realistically.
 

Data integrity at the system level. Cross-check the UI against backing stores, exports and generated reports. Trace a discrepancy through the stack — frontend, API, pipeline, store — and arrive with a diagnosis, not a question.
 

Raising the people around you. Mentor less experienced QA engineers, review their test designs and automation code, and set the standard for what a bug report and a test plan look like here.
 

What we need from you
 

Must have

• Substantial commercial QA experience with genuine depth in both manual testing and automation
• Strong Java — you design and refactor test code, not just add to it; you understand why the framework is built the way it is and can argue for changing it
• Proven ownership of a UI automation framework in production (Selenide, Selenium, or equivalent) — including stability, runtime, and maintenance cost as things you actively managed
• Test strategy and risk-based prioritization at product-area scale, not just test-case level
• Strong API testing skills and the ability to debug across frontend, backend, pipeline and data store
• Real working experience with at least one major cloud provider: IAM, resource models, onboarding and permission flows
• Kubernetes in practice — kubectl, Helm, reading pod logs, understanding what a broken deployment is telling you
• CI/CD: suites running in a pipeline, and you own why they're green
• Git, Jira, Confluence; confident written and spoken English in a distributed team
   

Strongly preferred

• Terraform or CloudFormation, hands-on
• Cybersecurity domain knowledge — CVEs and vulnerability management, CSPM, IAM, threat detection
• SQL or OpenSearch for independent verification of what the UI claims
• Experience in regulated or compliance-driven environments (FedRAMP, SOC 2)
• Track record of mentoring QA engineers
   

Who does well here

Someone who can't leave a question alone, and who has enough experience to know which questions are worth the day. Who sets up their own environments, chases root cause through the stack, and follows a fix to verification.
 

Someone whose bug reports get picked up immediately because they arrive with a diagnosis attached — and whose test strategies mean fewer of those reports need writing at all.
 

How we work

Inside feature squads, next to the backend and frontend owners — Slack working groups, Figma, Confluence. Senior QA here has real influence on what gets built and how, not a gate at the end of the pipeline.
 

Let's talk.

Why this role is worth your next few years

Most QA jobs teach you one product and one process. You learn the checklist, and two years later the checklist is still all you know.

This one is different. You'll work across cloud security on AWS, Azure and GCP — deploying Kubernetes clusters, running infrastructure-as-code, testing threat detection, and writing the Java automation that holds it together. That isn't one skill. It's the stack the entire market is hiring for, learned properly, alongside people who will actually teach you.

You'll start with support and a defined feature area. Within a few months you'll be running that area yourself.

What you'll be doing

Testing and test design

• Own test plans for your feature areas — onboarding flows, dashboards, scanners, integrations — and turn them into prioritized test cases with real exit criteria
• Run feature QA cycles: validate acceptance criteria against the PRD, verify each requirement, sign off before release
• Run regression sweeps and verify fixes before they move forward

Automation

• Write and maintain WebUI tests in Java + Selenide, extending a framework that's already there — you're not starting from a blank file, but you will be shaping it
• Automate the areas you test by hand, so your manual time goes to exploratory and new-feature work
• Keep the suite healthy: investigate failures, separate real defects from flakiness, and fix the flaky ones properly
• Start contributing to how we test, not just what we test — stable selectors, reusable helpers, better test data

Hands-on cloud work

• Set up your own environments: onboard AWS accounts via Terraform and CloudFormation, Azure tenants, GCP projects, and verify off-boarding actually cleans up
• Deploy our sensors on EKS with Helm and on EC2 hosts
• Generate QA workloads and confirm the platform detects and displays them correctly
• Cross-check the UI against the underlying data — where the most interesting bugs live

Working with people

• Daily contact with backend and frontend engineers, PMs and designers inside your feature squad
• Keep test plans, cases and results documented in Jira and Confluence so anyone can pick up where you left off

What you need to bring

• Commercial QA experience covering both manual and automated testing
• Java — enough to read, extend and debug an existing test codebase confidently
• Hands-on UI automation you've done on a real project (Selenide, Selenium, or similar — transferable experience is fine)
• Test design fundamentals, and the judgment to know what not to test
• REST APIs and browser devtools: enough to tell whether a bug is frontend, backend, or data
• Working knowledge of at least one major cloud provider — console, IAM basics, onboarding flows
• Basic Linux and CLI: SSH, systemctl, reading logs
• Git and Jira
• English for daily work with a distributed team

Nice to have — not required

Kubernetes basics · Terraform or CloudFormation · interest in cybersecurity (CVEs, CSPM, IAM) · SQL or OpenSearch · CI/CD · regulated environments like FedRAMP or SOC 2

What actually matters to us

• Curiosity about why something broke. The best bugs on our board come with a diagnosis attached.
• Ownership. You set up your own environments, chase the answer, and follow the fix through to verification.
• Precision in writing. A vague bug report costs the team a day; a good one saves it.
• Willingness to learn fast. You don't need to arrive a cloud security expert. You need to want to become one.

What you get out of it

Real mentorship from engineers who know this domain cold. Depth in cloud security across all three major providers, hands-on Kubernetes and infrastructure-as-code, and a mature Java automation stack.

You'll absorb in months what most people spend years collecting — and come out the other side as an engineer nobody wants to lose.

Curious? Apply.

QA Engineer (Junior-Friendly) — Cloud Security Platform

Java · Selenide · AWS / Azure / GCP · Kubernetes · Terraform

Start here, and go deep

Upwind is a cloud security platform. Companies connect their AWS, Azure and GCP environments to us, and we tell them what's dangerous — vulnerable container images, misconfigured permissions, exposed identities, live attacks in progress.

It's a big product, and nobody arrives knowing it. You'll learn it with us — the cloud, the Kubernetes, the security domain, the automation. That's the deal: you bring the curiosity and the fundamentals, we teach you the rest.

What you'll be working on

Testing features by hand

• Learn a feature area properly, then write test plans for it — onboarding flows, dashboards, scanners, integrations
• Turn plans into clear, prioritized test cases with real steps and expected results
• Check new features against what product actually asked for, and verify fixes before they ship
• Run regression rounds before releases

Writing automation

• Write WebUI tests in Java + Selenide, in a framework that already exists — you'll be adding to it and learning the patterns, not building from zero
• Gradually automate the areas you've been testing manually, so your time moves to more interesting work
• Investigate failing tests: is it a real bug, or is the test unstable? Learn to tell the difference fast

Getting hands-on with cloud

• Set up your own test environments: connect AWS accounts using Terraform and CloudFormation, onboard Azure and GCP projects
• Deploy our sensors onto Kubernetes clusters and Linux servers
• Generate QA workloads and check the platform reacts the way it should
• Compare what the UI shows against the real underlying data — this is where the most interesting bugs hide

Reporting what you find

• Write bug reports engineers can pick up immediately: steps, expected vs actual, impact, environment, and evidence
• Learn to spot when five bugs are really one bug with one cause

What we need from you

• Some commercial QA experience — internship, junior role, or a year or two of manual testing
• Basic Java — you've written and debugged code, and you can read someone else's without panic. You don't need to be a developer.
• Some exposure to test automation. If you've written Selenium or Selenide tests in a course or a small project, that counts.
• Test design fundamentals: equivalence classes, boundary values, negative cases — the ISTQB material, understood rather than memorized
• Curiosity about how things work under the hood: you've opened browser devtools and looked at what requests a page makes
• Basic Linux comfort: you can SSH into a machine and read a log file
• Git and Jira
• English good enough to work in a distributed team every day

Genuinely optional

Cloud experience of any kind · Kubernetes · Terraform · a security course or CTF you did for fun · SQL · CI/CD

If you have none of these, that's fine. If you have one, tell us about it.

What we care about more than your CV

• You want to know why. "It's broken" is where you start, not where you stop.
• You'll set things up yourself rather than waiting for someone to hand you an environment.
• You write clearly. A vague bug report costs the team a day; a good one saves it.
• You want to learn cloud security properly. Not eventually. Now.

What you'll walk away with

Java automation experience in a real production suite. Hands-on AWS, Azure, GCP, Kubernetes and Terraform. A working understanding of how cloud attacks and defenses actually operate.

That combination takes most people years to assemble. You'll build it here, with people who'll teach you.

Bring the curiosity. Apply.

Java · Selenide · AWS / Azure / GCP · Kubernetes · Terraform · Runtime Threat Detection
 

About the role

Upwind is a runtime-powered cloud security platform. We protect customers' cloud environments across AWS, Azure, and GCP — from the moment an account is onboarded, through vulnerability and image scanning, CSPM and compliance, identity and inventory correctness, all the way to runtime threat detection.
 

You will own quality for a set of product areas end to end: writing and running the manual test plans, building and maintaining the UI automation that keeps them from regressing, and being the person who finds the problem before a customer does. You sit inside a feature squad next to the backend and frontend owners, not downstream of them.
 

This is a hands-on role with a real learning curve on the cloud-security domain. We expect you to grow into it, and we will support that.
 

What you'll actually do

Manual testing & test design

• Build test plans for new features — onboarding flows, dashboards, scanners, integrations — and turn them into structured, prioritized test cases (P0/P1/P2) with clear preconditions, steps, and exit criteria.
• Run feature-level manual QA cycles: validate acceptance criteria against the PRD, verify each functional requirement, sign off before go-live.
• Run regression and retest sweeps ahead of releases, and verify fixes on dev before they move forward.
   

Bug reporting

• File bugs that engineers can act on immediately: summary, exact reproduction steps, expected vs actual, impact, environment, and evidence (HTTP requests/responses, Terraform or Helm output, console links, screenshots).
• Triage bug clusters by root cause and link related issues, rather than filing ten tickets for one underlying defect.
• Escalate customer-impacting findings clearly — especially anything that blocks onboarding or produces silent data inconsistency.
   

Automation

• Write and maintain WebUI automated tests in Java + Selenide, extending an existing framework: new test cases, page objects, helpers, test data.
• Grow automation coverage for the areas you test manually, so that manual effort shifts toward exploratory and new-feature work.
• Keep the suite healthy — investigate failures, distinguish real defects from flakiness, and fix the flaky ones.
• Push testability into the product: drive stable data-testid selectors and other conventions instead of depending on CSS classes, DOM structure, or text.
   

Cloud & hands-on environment work

• Set up and tear down test environments yourself: onboard AWS accounts and organizations via CloudFormation and Terraform, onboard Azure tenants and GCP projects, and verify off-boarding actually cleans up.
• Deploy and validate our sensors — the Upwind Operator on EKS via Helm, and host agents on EC2 instances.
• Generate realistic QA workloads and verify the platform detects and displays them correctly.
• Cross-check what the UI shows against the underlying data — backing stores, exports, and reports — to catch cases where the UI and reality disagree.
   

Collaboration

• Work daily with backend and frontend engineers, product managers, and designers inside feature working groups (Slack channels, Figma, Confluence).
• Keep test plans, test cases, and results documented in Jira and Confluence so anyone can pick up the state of a feature.
   

What we're looking for

Must have

• Commercial experience in software QA covering both manual and automated testing.
• Java — confident enough to read, extend, and debug an existing test codebase.
• Hands-on experience with UI test automation (Selenide, Selenium, or a similar WebUI framework). Selenide specifically is a plus, but transferable experience is fine.
• Solid test design fundamentals: equivalence classes, boundary values, negative testing, prioritization, and knowing what not to test.
• Comfort with REST APIs and browser devtools — reading requests, responses, status codes, and payloads to pinpoint whether a bug is frontend, backend, or data.
• Working knowledge of at least one major cloud provider (AWS, Azure, or GCP) — you can navigate a console, understand IAM basics, and follow an onboarding flow.
• Basic Linux and CLI comfort: SSH, systemctl, log reading, running install scripts.
• Git, and experience working in a Jira-based workflow.
• English sufficient for daily written and spoken work with a distributed team.
   

Nice to have

• Kubernetes fundamentals — enough to run kubectl, install a Helm chart, and read pod logs.
• Terraform or CloudFormation exposure.
• Background or genuine interest in cybersecurity: vulnerabilities and CVEs, CSPM, IAM, threat detection.
• SQL or experience querying a data store (e.g. OpenSearch) to verify data independently of the UI.
• CI/CD experience — running suites in a pipeline, reading build failures.
• Experience testing in regulated or compliance-driven environments (FedRAMP, SOC 2, or similar).
   

What matters most to us

• Curiosity about why something broke, not just that it broke. The best bugs on our board come with a diagnosis attached.
• Ownership. You set up your own environments, you chase the answer, you follow the fix through to verification.
• Precision in writing. A vague bug report costs the team a day; a good one saves it.
• Willingness to learn cloud security fast. You don't need to arrive an expert — you do need to want to become one.
  
   

What you'll learn here

Real depth in cloud security across all three major providers, hands-on Kubernetes and infrastructure-as-code, a mature Java automation stack, and what it takes to ship a security platform trusted with production cloud environments.

We are building a new UK-focused online IGaming product and are looking for a strong Senior Product Manager to join the core team at an early stage.

This is not a role focused on maintaining an already established product. You will have the opportunity to influence product strategy, shape the player journey, define priorities, and work closely with key business functions while the product is being built and launched.

The project is backed by an established iGaming holding with strong operational expertise, investment capacity, and experience across the industry.

Your scope will include:

• Product strategy and roadmap
• Player journey and funnel optimization
• Registration, KYC, deposit, gameplay, retention, and monetization flows
• Product discovery and feature prioritization
• Product analytics and KPI ownership
• A/B testing and experimentation
• Competitive analysis
• Collaboration with Tech, CRM, Payments, Support, Risk, and Marketing
• Product launch and continuous optimization

We are looking for:

• Strong Product Management background in online iGaming 2,5+ years
• Understanding of  players behavior and product mechanics
• Strong experience with funnels, conversion, retention, and product analytics
• Ability to build and improve product processes from scratch
• High level of ownership and independence
• Experience with UK or Tier 1 markets is highly desirable

This role offers significant influence over how the product will be built, launched, and scaled.

The role

Your one job: make the unit economics work. Find profitable ways to acquire paying subscribers, then scale them, growing paid spend from virtually $0 to ~$50k/day within a year while staying profitable on a payback basis.

This is equal parts performance marketing and growth hacking. You'll own all paid growth end to end, across every platform: setting strategy, building and buying campaigns yourself, briefing creative, and reading the numbers down to cohort LTV and payback. It's a player-coach seat, hands-on today, building and leading the UA team as spend scales.

If you've scaled subscription products profitably and you think in ROAS, payback windows, and trial-to-paid, not vanity metrics, this is a rare chance to own a product's entire paid engine.

What you'll own

• Positive unit economics — find profitable acquisition and scale it: grow paid spend from ~$0 toward ~$50k/day within a year while hitting ROAS, CAC, and payback targets. Own blended and channel-level economics, with retention and refund rates as guardrails.
• All paid channels, end to end — Meta (including partnership ads), Google (Search / YouTube), TikTok, and Snap, plus UGC. Launch, structure, scale, and cut campaigns yourself.
• The conversion funnel — partner with product to optimize the full path from landing page to paywall, checkout, and retention, and fix the leaks that paid traffic exposes.
• Creative strategy & velocity — brief, test, and iterate ad creative with our creative team at high volume; mine winners by hook rate, retention, and conversion, and feed the next round of tests.
• Measurement you trust — own attribution and reporting in Amplitude, PostHog, and GA4, with server-side tracking (Meta CAPI) for signal quality. Know what's incremental vs. last-click noise.
• A disciplined test cadence — run a structured hypothesis backlog: prioritize, ship, read out, and compound the learnings.
• Budget & forecasting — own paid budget, pacing, and spend forecasts tied to growth targets.
• Building the team (eventually) — as spend scales, hire and lead UA buyers and manage agency/partner relationships.

What you bring

• 5+ years in performance marketing / media buying, with a strong record in subscription, web2web, or D2C, and proof you've scaled paid spend profitably to high daily budgets (tens of thousands/day) on ROAS and payback, not just spent it.
• Deep hands-on mastery of Meta and Google, plus real operating experience with TikTok and/or Snap. You're comfortable being the one in the ad accounts every day.
• Web subscription fluency — paywalls, trials, plan mix, trial-to-paid, cohort LTV, churn, and refunds. You know money is made on profitable retained revenue, not the click.
• Analytics depth — hands-on with Amplitude, PostHog, and GA4, server-side tracking (CAPI), and confident spreadsheet/BI analysis of cohorts and unit economics.
• Creative-first instinct — you treat creative as the #1 lever, brief it sharply, and read creative performance like a media buyer, not a designer.
• Growth-hacker mindset — scrappy, experiment-driven, and relentless about finding the unlock that makes the math work. High autonomy, bias to action, fluent professional English.

Nice to have

• UGC production and creator sourcing at scale.
• Lifecycle/email, CRO, and paywall/landing-page optimization.
• Edtech, AI, or info-product experience; familiarity with AI-assisted creative tooling.
• SQL / BI for self-serve cohort and unit-economics analysis.
• Mobile UA and app measurement (AppsFlyer, SKAN) — a plus for when web2app launches.

Why join

• Own the whole engine. All of paid, with real budget and a clear mandate: find profitable unit economics and scale spend from ~$0 to $50k/day.
• Scale + autonomy. Ambitious targets, minimal bureaucracy, and the freedom to run your own playbook and back it with data.
• Build with operators. A Genesis-backed team that has done this before, with the playbooks, creative engine, and tooling to move fast.
• Grow into a leader. Start hands-on, build the team, and grow into the senior owner of UA / growth.
• Remote, results-based. Work from anywhere, with competitive performance-based compensation that rewards outcomes, not hours.

We are looking for a skilled and motivated Platform Developer to join our Engineering team, focusing on database architecture, data transformation, workflow automation, and AI integration. You will be instrumental in building and maintaining the data infrastructure and automated systems that power our internal and client-facing products. This role requires deep backend expertise combined with a strong automation and AI mindset, and the ability to own systems end-to-end in a fast-moving, small team environment.
 

Requirements

To be successful in this role, you should meet the following minimum experience standards:

• Node.js Backend: 5+ years of professional experience building scalable backend services, with strong command of asynchronous programming, data pipelines, and complex business logic.
• Database Architecture: Strong working knowledge of relational databases (PostgreSQL or MySQL), including schema design, indexing, query optimization, and data modeling for high-volume transformations.
• Data Transformation: Experience designing and maintaining ETL or data transformation pipelines — cleaning, normalizing, and routing data across systems.
• Automation Expertise: 1+ years of hands-on experience with workflow automation platforms such as n8n (preferred), Make.com, or Zapier, including writing custom code nodes and managing multi-step workflows.
• AI Integration: Experience integrating LLMs (e.g., OpenAI API, Gemini, Claude) into backend workflows, including prompt engineering, structured output handling, and building AI-augmented pipelines.
• API Integration: Solid command of integrating third-party REST/GraphQL APIs, handling authentication (OAuth2, API Keys), and managing rate limits and error recovery.
• Cloud Infrastructure: Hands-on experience deploying and maintaining backend services on DigitalOcean and/or Google Cloud Platform, including working with managed databases and containerized environments (Docker).
• Version Control: Proficiency with Git and familiarity with CI/CD workflows.
• Claude Code/Codex: Advanced experience.
   

Plus Skills

Experience in any of the following areas is a significant advantage:

• Python: Willingness and ability to write Python scripts where needed for data processing, ML tooling, or integrations that lack Node.js support.
• Advanced AI Workflows: Familiarity with LangChain, vector databases (RAG), or multi-agent orchestration patterns.
• Frontend Exposure: Working knowledge of React or Next.js to build lightweight internal dashboards or tooling interfaces.
• Technical SEO: Understanding of SEO data metrics (Volume, KD, CPC) and content performance signals — useful for engineering logic behind data-driven content systems.
   

Key Responsibilities

• Database Architecture: Design, maintain, and optimize PostgreSQL schemas to support data transformation workflows, session management, and reporting needs.
• Data Transformation: Build reliable pipelines that ingest, clean, transform, and route data between internal systems and third-party APIs.
• Automation Development: Build and maintain automation workflows in n8n and Node.js — including custom logic nodes, error handling, and retry strategies.
• AI Integration: Implement LLM-powered features into backend pipelines, including prompt design, structured JSON output parsing, and model orchestration.
• API Ecosystem Management: Integrate and maintain connections with tools such as Slack, Google Drive, Google Analytics, and other data sources and destinations.
• System Reliability: Monitor, debug, and improve the reliability of automated systems — handling edge cases like API timeouts, context window limits, and malformed data.
• Cloud Operations: Deploy and manage backend services on DigitalOcean and Google Cloud, including scaling, environment configuration, and uptime.
• Documentation: Maintain clear technical documentation for data models, automation architectures, and API integrations to support team knowledge sharing.
   

Perks & Benefits

• Competitive salary and benefits package.
• Hybrid work environment with the opportunity to be fully remote
• Cutting-Edge Tech: Work on real AI-augmented systems that directly impact client outcomes.
• Small, Agile Team: Direct access to leadership and a culture that values ownership and creative problem-solving over rigid ticket queues.
• Career Growth: Financial support for continuous learning and professional development.
   

Required Skills & Experience

• Node.js: 5+ years
• PostgreSQL / MySQL: 3+ years
• React: 2+ years
• n8n or equivalent automation platform: 1+ years
• LLM API integration (OpenAI, Gemini, or similar): demonstrated experience