Jobs at Djinni

You’ll grow and manage part of the ThingsBoard partner ecosystem — hardware vendors and content creators/consultants. The most important part of this role is building long-term relationships with partners. It’s also a technical product, so you’ll learn how partners’ devices connect to the platform — a technical specialist will help you with that. You’ll work closely with the marketing team. This is a good fit if you enjoy building long-term partnerships and want to work with a complex IoT product in an international team.

Requirements:

• You are great at building long-term business relationships. You stay in touch, follow up, and don’t drop people after the first contact.
• Experience in B2B partnerships, sales, or business development.
• Curiosity about the technical side. You don’t need an IoT or engineering background — we’ll teach you how device connectivity works. But you should enjoy figuring out how things work, not avoid it.
• Upper-Intermediate English. You’ll use it every day to talk to partners.

Responsibilities:

• Find and reach out to new partners, and bring them on board (a technical specialist helps you with device integration)
• Build and keep strong long-term relationships with current partners
• Work with the marketing team on co-marketing activities
• Grow the referral network — find new affiliates and reach out to them
• Set up and improve how we work with affiliates

What We Offer:

• Competitive and transparent compensation based on your experience and impact.
• Meaningful product challenges and clear ownership.
• Supportive team environment with clear goals and feedback.
• Career growth with regular performance reviews.
• Medical insurance or compensation program.
• 17 vacation days and 10 sick leaves.
• Corporate English classes.
• Comfortable office in Kyiv, Podil, with a flexible schedule.
• Work on a global open-source product with 21k+ GitHub stars.

By submitting your CV, you consent to ThingsBoard Inc collecting and processing your personal data for recruitment purposes in accordance with our Privacy Policy and ISO 27001 requirements. Your data will be retained for 12 months from the date of submission and securely deleted thereafter unless you are hired. You may withdraw consent at any time by contacting us.

We are building a high-performance, PCI-DSS compliant payment gateway that processes millions of transactions daily across cards, open banking, alternative payment methods, and crypto on-ramps. You will design, implement, and own critical components of the payment orchestration, authorization, settlement, and reconciliation layers written primarily in Go.

Key Responsibilities

• Design and develop highly concurrent, low-latency microservices in Go for payment authorization, routing, risk checks, and settlement
• Implement and maintain payment scheme integrations (Visa, Mastercard, local schemes, APM providers, open banking)
• Build resilient transaction processing pipelines with idempotency, retries, circuit breakers, and distributed tracing
• Work on ledger systems, balance management, and real-time reconciliation
• Optimize for throughput, latency, and cost under high load
• Collaborate with compliance, security, and product teams to meet regulatory requirements (PCI-DSS, PSD2, GDPR, etc.)
• Participate in architecture decisions, code reviews, and on-call rotation for payment-critical services
• Contribute to observability (metrics, structured logging, distributed tracing) and operational excellence

Required Skills & Experience

• Strong production experience with Go (concurrency patterns, channels, context, error handling, testing)
• Hands-on experience building or working on payment gateways, payment processors, or high-volume transaction systems
• Solid understanding of payment flows: authorization, capture, void, refund, chargeback, 3DS, tokenization
• Experience with relational databases (PostgreSQL preferred) and at least one message broker / event system (Kafka, NATS, RabbitMQ, etc.)
• Knowledge of distributed systems concepts: eventual consistency, idempotency, exactly-once semantics, saga patterns
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger)

Nice to Have

• Experience with PCI-DSS environments and secure coding practices for payment data
• Knowledge of ISO 8583, card schemes, or open banking APIs (TrueLayer, Plaid, etc.)
• Experience with Go frameworks/libraries commonly used in fintech (e.g., gRPC, chi/fiber/echo, sqlc/pgx, go-kit)
• Background in ledger or double-entry accounting systems
• Experience with multi-currency, FX, or cross-border payments
• Contributions to open-source Go projects or payment-related libraries

What We Offer

• Competitive salary + equity 
• Fully remote-friendly culture with flexible hours
• Modern tech stack and high ownership over critical payment infrastructure
• Opportunity to work on systems that move real money at scale
• Strong engineering culture focused on reliability, security, and clean code

About the Project:
Join the team of one of the world's largest independent advertising technology companies.

The team develops and maintains real-time, high-load distributed systems that process hundreds of billions of requests while delivering responses in milliseconds. 
The primary focus of this role is building and enhancing the automated testing framework and test infrastructure that ensures the reliability, scalability, and quality of these mission-critical services.

Who We're Looking For:

A Middle Java Developer with solid Java Core expertise who has experience building backend applications and wants to contribute to automation infrastructure, testing frameworks, and engineering quality for large-scale distributed systems.

Working Hours:

• 12:00 PM – 8:00 PM EEST (shifted schedule)
  
  Key Responsibilities
• Design and develop automation testing infrastructure for large-scale distributed systems
• Build and maintain scalable, reusable test frameworks
• Improve build pipelines and Continuous Integration / Continuous Deployment processes
• Design testing strategies for complex microservices and highly integrated systems
• Investigate production and testing issues, perform root cause analysis, and improve system reliability
• Research and prototype new testing technologies and automation approaches
• Collaborate closely with developers, SDETs, product managers, and project teams to deliver high-quality software
• Contribute to engineering best practices and continuous quality improvements
  
  Must-Have Skills
• 2+ years of commercial experience with server-side Java
• Strong Java Core knowledge:
  • Java 8+
  • Multithreading
  • Concurrency
  • Collections
  • Exceptions
• Experience with relational databases (MySQL, PostgreSQL)
• Experience writing native SQL and using Hibernate (or similar ORM)
• Experience with service-oriented architecture and microservices
• Experience with automated testing:
  • Unit Testing
  • Integration Testing
  • Functional Testing
  • TDD
  • Mocking frameworks
• Linux experience
• Experience configuring or working with CI/CD pipelines (GitHub Actions, Jenkins)
• Strong analytical and problem-solving skills
• Ability to work independently in an environment with evolving requirements
  
  Nice to Have
• Experience with the reactive programming paradigm:
  • Project Reactor
  • Spring WebFlux
  • Vert.x
• Experience with test reporting tools
   

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

Fluix is Readdle's B2B SaaS platform for field teams across industries such as construction, energy, and aviation. As we enter a new stage of growth, we're looking for a Senior SEO Manager to build and own how Fluix wins in AI-powered and organic search.

What will you do:

• Own SEO and AEO at Fluix end-to-end: set the strategy, pick the targets, and be the person who gets Fluix showing up in AI Overviews, answers, and ranking for the searches our buyers actually make.
• Build the product landing-page infrastructure: Create the product, blog, and article pages that unlock both organic rankings and AI citations.
• Drive a net-new link acquisition program: Grow Fluix's referring-domain base toward 3,000+ through editorial outreach, link reclamation, and content-led earning — targeting 200+ new domains in Year 1.
• Own technical SEO and ongoing site health: Resolve the priority backlog (sitemaps, indexing, redirects) and own crawl, indexing, and schema as the site scales.
• Define and execute the content strategy for organic and AI visibility: Decide which content and templates we create, brief the writers, and make sure it targets the topics worth winning.
• Show the impact. Turn rankings and traffic into real business results — demo requests and signups — and keep an eye on how we stack up against competitors like SafetyCulture, Fieldwire, and TrueContext.

About you:

• 3–5 years of B2B SaaS SEO, with a track record of ranking competitive commercial keywords
• A self-starter who builds strategy from scratch and owns it end-to-end
• Hands-on familiarity with AEO / AI Overview optimization
• Experience with building and optimizing product/category landing pages — you understand page-intent architecture and how to structure pages for both organic ranking and AI citation.
• You're fluent with AI tools and use them daily to optimize your own workflows 
• Active link acquisition experience: outreach, relationship-based editorial links, or content-led earning
• Strong technical SEO — you can diagnose and fix crawl, indexing, redirect, and schema issues yourself, using tools like Screaming Frog and GSC.
• Strong analytics — you turn Ahrefs and GSC data into a clear, prioritized action plan.
• A clear, concise communicator — you can write a tight brief for a writer and a tight summary for the leadership team.
• Upper-Intermediate English or higher.

Will be a plus:

• Experience marketing to field-heavy or regulated industries — construction, energy, safety, or similar.
• Experience in briefing or managing a content team.
• Comfortably publishing pages yourself in WordPress (or a similar CMS).
• Familiarity with structured data/schema markup.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

Project Description:

We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

Responsibilities:

This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally
Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

Mandatory Skills Description:

1. Strong SQL and Data Analyst experience.
2. Experience in Tableau
3. Proven experience as BI developer
4. Background in data warehouse design (e.g. dimensional modeling) and data mining
5. Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
6. Proven abilities to take initiative and be innovative
7. Analytical mind with a problem-solving aptitude.
8. Team player, good on communication with Business Analysts or Traders, Highly Motivated, quick learner, general interest in Equity/Equity Derivatives Trading Business. Experience in Risk Department (Risk area).
9. Exposure to Equities business
10. Must have worked in Agile [min 2+ years]
11. Must have good analytical & logical skills
12. Strong interpersonal, oral and written communication

Nice-to-Have Skills Description:

- Understanding of Big Data concepts and technologies, enabling effective handling and analysis of large datasets.
- Concepts (HDFS,Spark,Hive,Impala)

Languages:

English: B2 Upper Intermediate

About the project

Our client is a product company building an AI-driven trading and investing platform that covers equities, futures, forex and crypto. The team develops systematic strategies, portfolio models, copy-trading products and low-latency execution infrastructure.

What you'll do

• Research, build and maintain systematic trading strategies
• Develop backtesting, optimization and portfolio-construction frameworks
• Run walk-forward analysis, Monte Carlo simulations and other robustness checks
• Work with market data across equities, futures, forex and crypto
• Bring ML models into the research and signal-generation pipeline
• Move research into live trading together with the Java execution and platform teams

• Track live strategy performance and improve risk-adjusted returns

   

Requirements

• 5+ years of production Python development
• Strong command of Pandas, Polars, NumPy
• Hands-on experience with at least one backtesting framework — VectorBT, Backtrader or QuantConnect LEAN
• Solid statistics and quantitative finance background
• Practical experience with portfolio optimization and risk management
• Trading experience in at least one asset class: futures, forex, equities or crypto
• PostgreSQL / TimescaleDB, cloud environments

• Git, Docker, CI/CD

   

Nice to have

• ML stack: XGBoost, LightGBM, PyTorch
• FIX protocol
• Broker/venue integrations: Interactive Brokers, Alpaca, LMAX
• Java or C++ exposure

• Background in institutional trading systems

   

What success looks like in the first year

• A pipeline producing 100+ validated strategy candidates
• Production-grade research infrastructure the whole team relies on

• Measurably better portfolio Sharpe and lower drawdowns

   

We offer

• Competitive salary 
• Fully remote work with a distributed international team
• A product role on a global AI trading platform, not outsourcing ticket work

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

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

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a proactive Lead Product Analyst to join Dripify (🔗 dripify.com) - a B2B SaaS platform that helps sales, recruitment, marketing teams and founders automate and scale LinkedIn outreach.

Our product enables businesses to generate leads, build meaningful professional relationships, and create predictable pipeline through smart prospecting workflows and automation.

In this role you will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning.

You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise
• 24 days of paid vacation per year to recharge and relax
• 10 days of paid sick leave
• Educational opportunities
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries
• Online and offline team events
• A collaborative and innovative work environment with passionate team members
•  

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉

Who we are

We are building a Global Talent Mobility platform. Our goal is to help talented individuals from all corners of the world relocate and access the world’s most advanced ecosystems, such as Silicon Valley, London, and others.

As part of this process, we assist our clients — successful tech entrepreneurs and professionals from the tech industry — in enhancing their public profiles.

Role

We are looking for a PR Manager to join our team and help our clients— accomplished tech founders and industry professionals — boost their personal branding and media presence. You will also play a key role in strengthening our company’s PR efforts.

In this role, you will:

• Assist clients in shaping and amplifying their personal brand through media opportunities, expert articles, and thought leadership content.
• Research and identify relevant media outlets, journalists, and platforms for PR placements.
• Coordinate interviews and media appearances for clients.
• Support content creation, including expert articles, case studies, and opinion pieces.
• Contribute to the company’s PR strategy, helping us gain media exposure and build strong brand positioning.

Who You Will Work With
 

We’re a small, ambitious team with big goals and a solid track record over the past three years. Now, we’re entering an exciting growth phase!

Our leaders bring experience from top consulting firms like McKinsey and expertise in tech and venture capital from places like Genesis and Flyer One Ventures.
 

You’ll work with amazing clients, including startup founders and professionals from top tech companies like Amazon, Facebook, Spotify, Genesis, and more.

 

What You’ll Get
 

• Work with incredible clients. Our clients are some of the most talented and successful people in the world.
• A meaningful mission. We’re on a mission to reshape global migration, cutting through bureaucracy with tools, smart processes, and talent to match skilled people with global opportunities more efficiently.
• Make an impact. Your work will directly change lives by helping talented individuals access opportunities worldwide.
• Competitive pay. Earn a solid USD salary, with performance-based raises, bonuses, and profit-sharing for senior roles.
• Innovation and ambition. We aim to become a unicorn in the talent mobility space by building innovative, tech-powered solutions.
• Great culture and flexibility. Join a collaborative, supportive team with leadership from top-tier tech and consulting (McKinsey, Genesis, Flyer One Ventures). Enjoy a modern, remote-friendly, and flexible work environment.
   

We help everyone shine, unlock their potential, and offer unmatched growth opportunities. At CSMPLT, every team member has the chance to become a partner.
 

We’re growing fast, launching new initiatives, and aiming to become a unicorn company in the next few years. It’s an exciting time to join us as an early team member and be part of a startup on a thrilling journey.
 

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. The company provides Software-as-a-Service (SaaS) products designed to support electronic trading, brokerage operations, risk management, and financial data analysis.

As a Senior AQA/SDET Engineer you will be responsible for building and maintaining automated testing solutions for APIs, integrations, and data pipelines, ensuring the accuracy and integrity of large-scale data flows, and contributing to the evolution of automation frameworks and QA practices.

Responsibilities:

- Design, develop, and maintain automated tests for backend services and data-processing systems in the financial market data domain.
- Build API, integration, and data validation test coverage using C#/.NET automation.
- Validate correctness, completeness, and consistency of historical market data across APIs, databases, files, scheduled jobs, and downstream consumers.
- Automate regression checks for data pipelines, including data ingestion, transformation, storage, caching, and delivery.
- Create reliable test coverage for edge cases related to market dates, historical prices, corporate actions, missing data, delayed data, and incorrect calculations.
- Integrate automated tests into CI/CD pipelines and improve test reporting, stability, and execution reliability.
- Analyze failed tests and production-like issues using logs, monitoring tools, API responses, database queries, and configuration.
- Collaborate with developers to improve testability, observability, and reliability of backend/data services.
- Maintain test documentation, automation coverage notes, and clear defect reports.
 

Requirements:

- 5-8+ years of AQA/SDET experience testing complex backend, API, data-heavy, or distributed systems.
- 3+ years of hands-on test automation experience with C#/.NET.
- Strong experience designing automation strategy, not only writing individual tests.
- Proven experience building or improving automated test frameworks, CI/CD test stages, reporting, and quality gates.
- Strong API and backend test automation experience.
- Solid SQL and PostgreSQL experience, including advanced queries, data validation, and investigation of data inconsistencies.
- Experience testing data pipelines, scheduled/background jobs, file processing, caching logic, and service-to-service integrations.
- Ability to independently investigate production-like issues using logs, metrics, monitoring dashboards, API responses, database state, and service configuration.
- Strong test design skills: regression strategy, risk-based coverage, boundary cases, negative scenarios, data-driven tests, and clear defect reporting.
- Experience mentoring other QA/AQA/SDET engineers or improving team-level QA practices.
- Understanding of backend architecture, environment-based configuration, service health checks, and deployment validation.
- Experience working in Scrum or another Agile delivery process.
- Languages: Ukrainian native/fluent and English Intermediate or higher.

Nice to Have:

- Experience with financial systems, trading platforms, market data, historical data, or time-series data.
- Experience with ReportPortal, FluentAssertions, NUnit, or desktop UI automation.
- Ability to read or debug C++, Go, or Python code.
- Experience with time-series databases, Kubernetes/Nomad, Grafana, Prometheus, VictoriaMetrics, Elasticsearch, or Kibana.

What We Offer:

-Cutting-Edge Stack: Real-world C++23 implementation, AI, and microsecond-level latency challenges.

-Remote First: Full flexibility to work from where you are most productive.

-Engineering over Bureaucracy: Flat structure, fast decision-making, and a team of peers who speak your language.

Company offers:
‍
Care from Day One – medical insurance immediately upon starting work, including dental care, massage and professional psychological support because your well-being matters
Work-Life Balance – 25 days of paid vacation + 30 days of sick leave, so you can recover without unnecessary stress
Investment in your energy – partial reimbursement for any sports activities that empowers you.
Growth – partial coverage for English or Ukrainian language courses + a fixed budget for professional development. Choose what suits you best!
Knowledge Library – books in the office and access to the Kuka online library to learn, grow, and find inspiration.
Island Relaxation 14 days a year – enjoy a getaway at the corporate villa in Cyprus.
Office of the Future – work at Unit City, where everything is designed for productivity, even during power outages or Modern Office in Larnaca – a stylish space for inspiration: open areas, cozy lounges, and functional meeting rooms – all for your comfort.
‍
Join the Pine Software team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note, that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!

We are looking for an experienced Senior C++ Engineer to work on large-scale desktop software products in Medical domain. The role focuses on performance optimization, stability improvements, modernization of legacy systems, and development of high-quality desktop applications.

Responsibilities

• Develop and maintain high-quality desktop application components using modern C++
• Implement scalable multithreading and concurrency solutions
• Analyze, identify, and resolve performance bottlenecks in complex desktop systems
• Participate in modernization and refactoring of legacy codebases
• Collaborate with architects, QA engineers, and product teams to deliver stable and efficient solutions
• Contribute to software quality improvements, debugging activities, and system stability initiatives
• Utilize AI-assisted development tools to improve development workflows and accelerate implementation activities
• Participate in technical discussions, code reviews, and engineering best practices initiatives

Requirements

• 5+ years of commercial experience in C++ software development
• Strong expertise in modern C++ standards including C++14/17/20
• Deep understanding of multithreading, concurrency, debugging, and performance optimization
• Hands-on experience with desktop application development
• Practical experience with Qt
• Experience working with Make, Conan, and MSVC
• Experience with CEF integration
• Strong analytical thinking and problem-solving skills
• Ability to collaborate effectively within cross-functional engineering teams
• Intermediate or higher level of English

Will be a plus

• Experience with AI-assisted coding tools and development workflows
• Experience working in regulated software environments
• Technical degree in Computer Science, Engineering, or related field
• German language skills

• Project Description:

  We are building a next generation cross asset data fabric, which will bring together disparate data sources for the global bank. It will enable industry leading analytics, reporting and data science solutions. There are multiple streams within application covering Reporting, Data and Analytics.

• Responsibilities:

  This role is for a Senior Business Intelligence (BI) Developer to create reporting framework and set up the ground work for creation of Tableau reporting via Dashboards and scheduled reporting. The ideal candidate will help to ensure highest level of quality of a product being developed while working very closely with different stakeholders spread across globally
  Candidate will work independently and is highly self-motivated. Applies skills and knowledge of the business to test creative solutions to meet client and business needs.

• Mandatory Skills Description:

  1. Strong SQL and Data Analyst experience.
  2. Experience in Tableau
  3. Proven experience as BI developer
  4. Background in data warehouse design (e.g. dimensional modeling) and data mining
  5. Understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
  6. Proven abilities to take initiative and be innovative
  7. Analytical mind with a problem-solving aptitude.
  8. Team player, good on communication with Business Analysts or Traders, Highly Motivated, quick learner, general interest in Equity/Equity Derivatives Trading Business. Experience in Risk Department (Risk area).
  9. Exposure to Equities business
  10. Must have worked in Agile [min 2+ years]
  11. Must have good analytical & logical skills
  12. Strong interpersonal, oral and written communication

• Nice-to-Have Skills Description:

  - Understanding of Big Data concepts and technologies, enabling effective handling and analysis of large datasets.
  - Concepts (HDFS,Spark,Hive,Impala)

• Languages:
  • English: B2 Upper Intermediate

Description

Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Database Administrator (DBA) to join our team and support enterprise data platforms, analytics solutions, and operational reporting environments.

About the Role

The DBA will support the database layer behind analytics, enterprise data integration, and operational reporting. This role is responsible for ensuring the availability, performance, security, and reliability of enterprise database environments.

Responsibilities

• Administer and maintain Azure SQL environments.
• Manage Oracle Database environments, including enterprise data warehouses and applications such as PeopleSoft.
• Monitor database performance and perform query tuning and index optimization.
• Implement and maintain backup, recovery, and disaster recovery procedures.
• Manage database security, access controls, auditing, and encryption.
• Perform capacity planning and storage management.
• Ensure high availability and operational monitoring of database platforms.
• Support schema deployments and database change management activities.
• Troubleshoot data-loading, integration, and database-related issues.
• Support development, test, and production environments.
• Collaborate with development, infrastructure, and analytics teams to ensure stable and efficient database operations.

Requirements

• 5+ years of Database Administration experience.
• Strong hands-on experience with Azure SQL administration.
• Solid Oracle Database administration experience.
• Experience supporting enterprise data warehouse environments.
• Strong knowledge of database performance monitoring, query tuning, and index optimization.
• Experience with backup, recovery, and disaster recovery solutions.
• Good understanding of database security, auditing, access management, and encryption.
• Experience with capacity planning and storage management.
• Experience supporting high-availability database environments.
• Strong troubleshooting and problem-solving skills.
• Upper-Intermediate English or higher.

Nice to Have

• Experience supporting PeopleSoft databases.
• Experience with Microsoft Fabric Warehouse or SQL Endpoints.
• PostgreSQL/PostGIS administration experience supporting GIS workloads.
• Automation experience using PowerShell, Python, or database-native scripting.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.