Jobs at Djinni

Vreal Soft is a Ukrainian IT company developing mobile applications and websites. We have been working successfully for more than 7 years on the market of the States and Israel. The head office is located in Cherkasy, but we are constantly developing and expanding the horizons of cooperation to other cities, currently we have opened a branch in Dnipro.

We are looking for a Lead Generation Manager to join our team to help drive the sales of our services. The successful candidate will assist in the implementation of the business development strategy to achieve business goals.

Requirements:

- Relevant experience or a strong desire to start a career in sales;

- English from Intermediate;

- Excellent communication skills;

- Computer skills (experienced user of the Internet, social networks, LinkedIn, etc.);

- Self-organized, responsible and purposeful person;

- Attention to deta.

Duties:

- Teamwork as part of the lead generation department + active individual work on finding selected leads on LinkedIn, UpWork, other channels;

- Work and negotiations with international clients;

- Communication and communication with foreign clients in the field of Web design, mobile application design, creative design and web development, work in the field of Dynamics;

- Help in sales and attraction of new clients and projects;

- Applying on freelance platforms for designers and developers + on social networks such as LinkedIn;

- Implementation of the lead generation plan (number of applications and new leads per month). Transfer of leads for sale or individual sale, if there is enough desire, smile and skills;

- Management of the CRM system.

If you feel that your skills meet these requirements, please send us your resume and cover letter for consideration. We look forward to your applications and are ready to welcome you to our team.

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

We are looking for a Trading & Risk Analyst to research client trading behavior and market data, supporting the development and improvement of risk detection systems and analytical products for the broker.

This is a role at the intersection of Trading, Risk, and Data Analytics, with an opportunity to gradually develop toward Product Management.

Responsibilities

• Analyze trade-level, account-level, and client-level data, including PnL, exposure, volume, trading frequency, and holding time
• Research trading behavior, execution, and performance metrics to identify unusual or potentially risky patterns
• Formulate and test trading and risk hypotheses using historical trading data
• Investigate relevant risk patterns such as toxic flow, latency arbitrage, scalping, abnormal execution, markout, and slippage
• Support the development and improvement of risk products and analytical solutions by providing trading analysis, research, and domain input
• Monitor existing risk analytics and indicators, investigate changes in their behavior over time, and help identify areas for improvement
• Work with Data Engineering, BI, Quant, and Product teams on datasets, analytical tasks, metrics, and research initiatives
• Translate analytical findings into clear requirements, specifications, and inputs for further product and technical development
• Document research methodologies, analytical approaches, assumptions, metrics, findings, and relevant risk logic to ensure that work is reproducible and reusable by the team
• Prepare analytical materials and clearly communicate findings and recommendations to Product and Risk teams
• Gradually take ownership of individual analytical and risk-product initiatives

Requirements

• 1-3 years of hands-on trading experience or relevant professional experience in a trading environment, with demonstrated practical exposure to financial markets
• Hands-on experience with MT4/MT5, including a good understanding of trading, order, position, and execution workflows
• Good understanding of at least one financial market, such as FX, CFDs, futures, commodities, equities, or crypto
• Practical understanding of position, exposure, leverage, margin, spread, slippage, and PnL, and how these concepts relate to trading risk and broker economics
• Good understanding of trading performance and risk metrics, including drawdown, win rate, payoff ratio, profit factor, expectancy, Sharpe ratio, Sortino ratio, recovery factor, and volatility, with the ability to interpret them in the context of trading performance and risk
• Basic understanding of market microstructure, execution, and liquidity, with an interest in developing deeper expertise
• Basic understanding of statistical concepts such as distributions, sample size, outliers, statistical significance, and time-series behavior
• Ability to analyze trading data, formulate and test hypotheses, interpret trading metrics, and clearly explain analytical findings
• Confident use of Excel / Google Sheets

Will be a plus

• Experience developing, testing, or analyzing trading strategies
• Experience with algorithmic or systematic trading, including developing, testing, or analyzing automated trading strategies
• Experience with CQG, Thinkorswim (TOS), cTrader, DXtrade, Match-Trader, or similar trading platforms
• Experience with TradingView or similar market analysis platforms
• Understanding of A-Book / B-Book / STP models and basic broker risk economics
• Practical knowledge of market microstructure, liquidity, execution, and trading abuse patterns
• Experience analyzing client trading behavior or trading flows
• Experience contributing to or validating trading/risk detection rules
• Basic or intermediate SQL; Python is a strong plus
• Experience with Tableau, Power BI, Grafana, or similar BI tools

• Educational background in finance, economics, mathematics, statistics, or a related field

   

We offer 

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies. 

We are looking for a Marketing Project Manager to join our team!

Requirements:

- At least 2 years of experience as a project manager Knowledge of SDLC and project management methodologies (Scrum, Scrumban, Waterfall);
- Basic understanding of marketing processes;
- Proficient user of Atlassian tools (Jira, Confluence);
- Experience in requirements analysis, resource estimation, project planning, risk, and change management;
- Excellent communication skills and ability to resolve conflicts and negotiate;
- Ability to take responsibility and make quick decisions;
- Ability to work in a multitasking environment;
- English language proficiency not lower than Upper-Intermediate.

Responsibilities:

- Oversee the implementation of tasks and delegate responsibilities across the department;
- Assume responsibility for ensuring tasks are completed promptly within the specified domain;
- Evaluate the results of tasks to verify their efficacy;
- Serve as a bridge between various team members;
- Improve procedures to maximize team productivity;
- Foster cooperation and interaction with other teams within the department and broader group of companies.

What are the conditions and bonuses?

☘️An exciting and challenging job in a fast-growing product company, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and other;

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Warsaw, Limassol work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;

🧑🏻‍💻Laptop & all necessary equipment for work according to the ecosystem standards;

🏖Paid vacations, personal events days, days off;

🫖Paid sick leave;

👨🏻‍⚕️Medical insurance;

💵Referral program enjoy cooperation with your colleagues and get the bonus;

📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🧘Sport benefit;

🦄Multiple internal activities: online platform for employees with quests, gamification and presents for collecting bonuses, RedCore talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays;

🎳Company events, team buildings.

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

DevOps Hands-On Architecture, GCP, GKE, CI/CD, IAAS as a Code, Configuration Management tools, Security and Networking, Linux, Distributed tracing systems

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 

Requirements: 

• 8 years’ experience as a DevOps Engineer and at least 3 year experience in practical development of DevOps Architecture 
• High Proficiency in GCP 
• Proven Experience with GKE 
• Proven Experience with CI/CD tools, IAAS as a Code. 
• Good understanding of infrastructure related components and protocols – Networking, Security, Virtualization 
• Git usage skills and branching strategies understanding 
• English: Upper-intermediate+ 

Your Responsibilities: 

• Be a part of international team of experts with a warm and friendly atmosphere 
• Build cloud-based and open-source tools-based DevOps solutions for our highly technological and well-established customers 
• We promise to surprise you with exciting new projects from a variety of industries. 
• All we need from you is your desire to do great things! 

What We Offer: 

• Great Salary  
• Flexible working hours 
• Professional certifications support 
• Rewarding working environment and flexible career opportunities 

AWS, Linux, Docker, Kubernetes, Terraform, Logging solutions (ELK, EFK, Graylog), Monitoring solutions (Prometheus+Grafana), Configuration management tools (Ansible, Puppet, SaltStack, Chef), Hands-on experience with SQL (MySQL, PostgreSQL, MariaDB), NoSQL databases (MongoDB, Redis, DynamoDB, Elasticsearch), Message Broker systems (RabbitMQ, ActiveMQ, Kafka),CI/CD tools and version control (Jenkins, ArgoCD, GitHub actions)

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 
 

This is a full-time remote role for a DevOps Engineer. As a DevOps Engineer, your day-to-day tasks will involve infrastructure as code (IaC), software development, continuous integration, system administration, and Linux. You will be responsible for implementing and managing DevOps processes, optimizing cloud networks, and ensuring efficient deployment and operation of systems.

Requirements:

• Proficiency in infrastructure as code (IaC) and relevant tools
• Experience in software development and continuous integration
• Strong system administration skills
• Advanced knowledge of Linux
• Ability to work independently and remotely
• Excellent problem-solving and troubleshooting skills
• Good communication and collaboration skills
• English – Intermediate+  

Would be an advantage:

• Experience with cloud platforms and technologies
• Relevant certifications in DevOps or cloud technologies

What we offer:

• Competitive salary and social package 
• Flexible working hours 
• Mentorship and professional certifications support 
• Rewarding working environment and flexible career opportunities 

We are currently transforming our sales function into a scalable, data-driven, AI- and automation-powered sales engine. We are looking for a Sales Manager who will be responsible for executing the company’s sales strategy through an AI- and automation-enabled sales system.

The role combines outbound campaign execution, AI-assisted prospect communication, lead qualification, sales calls, closing, and account management.

The person will work with strategy and campaign requirements provided by Marketing, use existing AI agents and automation workflows, apply commercial judgment to their outputs, and turn qualified opportunities into clients and long-term relationships.

Key responsibilities

• Execute outbound campaigns based on Marketing-defined strategy and requirements, owning campaign setup, execution, pipeline progression, conversion, and closing.
• Use AI and automation for prospect research, communication, qualification, replies, follow-ups, and repetitive sales activities. Review outputs critically and step in personally when human judgment, direct communication, or negotiation is needed.
• Orchestrate and improve AI agents by adjusting prompts, instructions, context, examples, and workflow logic. Identify opportunities for new agents or automations and create them independently when possible or work with the Automation team on more complex implementations.
• Conduct discovery and sales calls, understand client needs, present relevant staffing and recruitment services, handle objections and commercial discussions, and move opportunities toward closing.
• Manage client relationships after closing, coordinate handover to delivery, maintain regular communication, identify risks and changing needs, and look for repeat business and account expansion opportunities.
• Maintain accurate CRM and pipeline data, track agreed sales KPIs, and provide Marketing and Automation teams with feedback on lead quality, ICP accuracy, messaging, objections, market response, and workflow performance.

Required Competencies

• Minimum 3+ years of strong B2B service sales experience with international clients.
• Strong proficiency in English (C1 or strong B2 level) is required.
• Experience managing opportunities from outbound communication through qualification, sales calls, negotiation, and closing.
• Experience with LinkedIn and email outreach.
• Experience working with CRM systems and structured sales pipelines.
• Practical experience using Claude, ChatGPT, or similar AI tools in professional workflows.
• Ability to critically evaluate and improve AI-generated research, messages, replies, and recommendations.
• Ability to work with structured AI agents, automation, and no-code workflows.
• Strong commercial judgment and ability to adapt communication to each prospect and situation.
• Experience maintaining client relationships after closing.

Desirable Skills

• Experience with AI-enabled or highly automated sales processes.
• Ability to create and configure AI agents independently using prompts, instructions, context, tools, and workflows.
• Experience working with automation specialists or developers to improve sales workflows.
• Strong practical fluency with Claude, ChatGPT, Gemini, or similar LLMs.

Cultural Fit

• Ownership and accountability.
• Proactive, self-directed working style.
• Builder mindset.
• Comfort with high accountability and growth pressure.
• Honest, direct, and constructive communication.
• Collaborative, low-ego approach across functions.

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Weekdays (From Monday to Friday) 15:00-23:00 (GMT +3)
 

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance
   

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  
   
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team
   

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We are seeking a highly skilled and experienced BI Developer with Tableau, OMNI and
Looker experience to join our growing team. The ideal candidate will be responsible for
designing, developing, and maintaining interactive and insightful dashboards and reports.
This role requires a strong understanding of data visualization best practices, data modeling,
and business intelligence concepts.

Responsibilities
— Design, develop, and maintain interactive dashboards and reports that meet business
requirements.
— Connect to various data sources, perform data extraction, transformation, and loading ETL
operations.
— Collaborate with stakeholders to understand business needs and translate them into technical
specifications.
— Optimize Tableau dashboards for performance and scalability.
— Develop and enforce data visualization and dashboard design best practices.
— Provide training and support to end-users on Tableau/Looker dashboards and reports.
— Participate in data governance and data quality initiatives.
— Stay up-to-date with the latest Tableau features and industry trends.
— All workflows should be tailored for Agentic Analytics readiness and to be connected and
consumed by AI or through AI.

Requirements
— 3 years of experience as a Tableau BI Developer or with other BI Tools.
— 1 year of experience in mobile application analysis.
— Proven experience in designing and developing complex Tableau dashboards and reports.
— Strong understanding of data warehousing, ETL processes, and data modeling concepts.
— Proficiency in SQL for data querying and manipulation.
— Experience with various data sources, including relational databases, cloud platforms, and flat files.
— Excellent communication, analytical, and problem-solving skills.
— Ability to work independently and as part of a team.

Will be a plus
— Experience with other BI tools (e.g., Looker, Power BI, QlikView).
— Knowledge of scripting languages (e.g., SQL, Python) for data analysis.
— Experience with cloud data platforms (e.g., GCP, BigQuery, Databricks).
— Certification in Tableau Desktop or Server.

GCP, Linux, Docker, Kubernetes, Terraform, Logging solutions (ELK, EFK, Graylog), Monitoring solutions (Prometheus+Grafana), Configuration management tools (Ansible, Puppet, SaltStack, Chef), Hands-on experience with SQL (MySQL, PostgreSQL, MariaDB), NoSQL databases (MongoDB, Redis, DynamoDB, Elasticsearch), Message Broker systems (RabbitMQ, ActiveMQ, Kafka),CI/CD tools and version control (Jenkins, ArgoCD, GitHub actions)

Requirements: 

• Proficiency in infrastructure as code (IaC) and relevant tools 
• Experience in software development and continuous integration 
• Strong system administration skills 
• Advanced knowledge of Linux 
• Ability to work independently and remotely 
• Excellent problem-solving and troubleshooting skills 
• Good communication and collaboration skills 

• English – Upper-Intermediate+   

   

Would be an advantage: 

• Experience with cloud platforms and technologies 

• Relevant certifications in DevOps or cloud technologies 

   

What we offer: 

• Competitive salary    
• Remote work  
• Flexible schedule  
• Career growth  
• Sport compensations  
• Professional working environment, where you’d be an essential member of our company  
• Corporate culture, mutual support. 

We need a detail-oriented analyst and a proactive communicator who will ensure seamless transaction flows, optimize conversion rates, and manage relationships with payment service providers (PSPs) across diverse global markets.

🎯 Key Responsibilities

• Relationship Management: Serve as the primary point of contact for connected PSPs. Handle day-to-day communications, resolve operational queries, and push for better service terms.
• Onboarding & Integration: Support all stages of PSP onboarding — from the initial intro and gathering technical documentation to the final "go-live" phase.
• Performance Analytics:  Monitor provider dashboards and transaction reports to compare performance.
  • Analyze payment conversion rates (Click-to-Deposit) and identify root causes for failed or pending transactions.
  • Interpret data to spot discrepancies and suggest actionable improvements.
• Operational Excellence:
  • Process internal tickets from Business Development and translate them into clear technical tasks for the Integration/Product teams.
  • Conduct competitive analysis of payment solutions in target regions, identifying new local methods and integration channels.

• Cross-department Collaboration: Work closely with Finance, Legal, Product, and Business Development teams to align payment strategies with global business goals.

  ✅Requirements
  - Experience: 1+ year of relevant experience in iGaming (Betting/Gambling), with a primary focus on European markets such as Italy, Portugal, Czech Republic, Poland, Greece, and the Netherlands.
  - Tier-1 Market Expertise: Proven track record working with Tier-1 European countries and a deep understanding of their payment ecosystems.
  - Payment Systems Knowledge: Strong grasp of Card processing and European Alternative Payment Methods (APMs), including experience with systems such as Blik, iDEAL, MbWay, and similar regional solutions.
  - Technical Skills: Hands-on experience with Payment Service Provider (PSP) admin panels and reporting tools.
  - Analytical Competence: Ability to  effectively communicate with the analytics team, read and interpret dashboards, and generate actionable insights and recommendations based on the data.
  - Languages: Upper-Intermediate (B2+) English proficiency, both written and verbal, for efficient communication with international partners.
  🧠 Soft Skills

• Detail-Oriented: You notice the small things in transaction logs that others might miss.
• Stress Resilient: Comfortable working in a high-pressure, fast-growing global company.
• Assertive: Not afraid to push your position and hold providers accountable for their performance.
• Organized: Ability to manage multiple onboarding processes and tickets simultaneously without losing focus.
• ⭐️ We Offer:
• Format: Remote work, 5/2 schedule.
• Payments in USDT (white crypto);
• Remuneration: Competitive salary + bonuses based on the results of the department you build.
• Growth: Opportunity for growth within the project.
• Benefits: Paid vacation and sick leave.