Jobs at Djinni

We are looking for a proactive Middle Fullstack Engineer to join our team.

Responsibilities:

• System design: database schemas, sequence diagrams, API
• Development of full-stack features with SPA/SSR on frontend and REST API on backend
• Implementation of test coverage
• Code review and team collaboration to produce high quality product
• Proactive monitoring of services through logging, metrics and alerting tools
• Configuration of CI/CD pipelines

Requirements:

• 3+ years of experience as NodeJS Fullstack Engineer
• Experience with TypeScript
• Experience with Next.js, React
• Experience with Nest.js
• Experience with REST API
• Experience with CI/CD: Docker, Helm, BitBucket/GitHub/GitLab
• Experience with PostgreSQL
• Experience with Redis
• Experience with RabbitMQ/Kafka
• Experience with Claude/Codex

Are you passionate about building scalable, reliable data systems that power real-world solutions? 

We are looking for a Senior Scala Developer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

We’re looking for a reliable, Finance and Admin Operations Specialist - Detail-oriented and Analytical thinking team member to support our daily financial operations.

Ideal for candidates with finance, admin, or accounting experience who want to grow their skills and contribute to impactful work.

Job Responsibilities

• Maintain financial trackers, prepare monthly reports, and manage bank payments.
• Reconcile invoices against bank transfers, hourly reports, and internal records.
• Actively develop and implement AI automation to streamline manual workflows.
• Manage vacation balances, employee agreement records, and payment-related queries.
• Provide proactive customer updates via email and maintain daily team communication.
• Utilize advanced Google Sheets skills and various accounting/financial systems.
• Leverage experience in international team environments and proficiency in Notion.

• Apply AI expertise or active coursework to optimize financial and admin processes.

   

Requirements

• Basic understanding of finance or accounting
• Strong Excel/Google Sheets skills
• Attention to detail, Analytical thinking and strong organizational habits
• Proactive, responsible, and ready to learn

• English level B2 or higher, Ukrainian native

   

We offer:

• A vacation package to support work-life balance
• A wellness package to promote health and wellbeing
• Access to learning courses and professional development resources
• Opportunities for growth and advancement within the team

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

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

We are seeking four dynamic Security Sales Executives to lead our sales efforts for security solutions across the EMEA and CEE regions. The ideal candidate will be a high-performing A-player preferably with experience in B2B segment and SaaS sales, adept at navigating complex sales environments, and driven to exceed targets through strategic sales initiatives.

Requirements:

• Fluency in Ukrainian.
• At least B2 level in English.
• From 2 years of proven sales experience in SaaS/IaaS fields, IAM, Cloud Security Command Center, VPC Service Controls, Zero-Trust Platforms or security related product selling
• Excellent communication, negotiation, and strategic planning abilities;
• Proficient in managing CRM systems and understanding their strategic importance in sales and customer relationship management.

Responsibilities:

• Develop and execute sales strategies for Security solutions, primarily targeting enterprise clients within the Cloud Markets across EMEA and CEE.
• Conduct high-level negotiations and presentations with major companies across Europe.
• Continuously assess the competitive landscape and customer needs within the cybersecurity and web performance market, adapting sales strategies to meet market demands and drive revenue growth.
• Identify and penetrate new enterprise market segments.
• Work closely with marketing and business development teams to align sales strategies with broader company goals.
• Accurately forecast sales pipelines and provide regular reports on sales activities and performance.

Would be a plus:

• Certifications like Google Professional Cloud Security Engineer, Okta Certified Professional, or CISSP / CISM.
• Experience with DevSecOps practices (specifically securing pipelines in GitLab).
• Familiarity with Zero Trust architecture and Chrome Enterprise security features.

Work conditions:

• Competitive Salary & Transparent Motivation: Receive a competitive base salary with commission on sales and performance-based bonuses, providing clear financial rewards for your success.
• Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
• Freedom to Innovate: Utilize multiple channels and approaches for sales, allowing you the freedom to find the best strategies for success.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud 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. 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.

A US-based IT service company is seeking an experienced Financial Controller with strong US GAAP expertise. In this role, you will own the end-to-end accounting operations and financial reporting across a multi-entity international business (US, UK, HK, SG), ensuring accurate consolidation, strong internal controls, and compliance with US GAAP.

This is a hands-on managerial role where you will lead a team of 8 people and work closely with the Director of Finance to support financial reporting, process improvements, and strategic decision-making across the business.

COMPANY 
Atlas Technica is a fast-growing US-based tech company, founded in New York in 2016 and focused on providing IT services to the hedge fund sector. The company has scaled rapidly and now has 200+ engineers across 10+ locations globally.
 

Location/Type: Remote
Hours: EST inclined
Reports to: Director of Finance
 

RESPONSIBILITIES:

• Close & Financial Reporting
  • Lead monthly, quarterly, and annual close; prepare and review journal entries, reconciliations, and consolidations in accordance with US GAAP
  • Own company-wide reporting — income statement, balance sheet, cash flow, variance analyses, and management reporting packages
• Accounts Payable, Receivable & Treasury
  • Oversee AP/AR, credit and collections, vendor management, and billing accuracy; drive DSO and working capital improvements
  • Manage treasury and cash flow forecasting; monitor liquidity, banking relationships, and covenant compliance
• Controls, Compliance & Audit
  • Establish and continuously improve internal controls, accounting policies, and SOPs; maintain audit readiness
  • Coordinate and lead external audits; manage auditor requests, PBC lists, and issue resolution
  • Ensure tax compliance across sales/use, property, payroll, and income tax in coordination with external advisors
• Technical Accounting
  • Lead revenue recognition compliance (ASC 606), including contract review, performance obligations, and variable consideration
  • Manage fixed assets, capitalization policies, lease accounting, and depreciation schedules
  • Oversee payroll accounting and benefits-related entries
• Systems & Process Improvement
  • Evaluate and optimize automation across close, AP/AR, expense management, and fixed assets; partner with IT/Finance on ERP configuration and integrations
• Strategic Finance Support
  • Support M&A diligence and integrations, including opening balance sheet and purchase accounting
  • Provide budget vs. actual analyses, departmental spend tracking, and support annual planning and rolling forecasts in partnership with FP&A

• Team Leadership & Strategic Partnership

  • Mentor, develop, and scale the accounting team; set priorities and quality standards
  • Serve as a strategic partner to the Director of Finance on accounting impacts of business decisions, risks, and opportunities

   

REQUIREMENTS

• Bachelor’s degree in Accounting, Finance, or related field; CPA/ACCA strongly preferred.
• 8+ years of progressive accounting experience with at least 3 years in a supervisory or Controller/Assistant Controller capacity and management experience.
• Deep knowledge of US GAAP, accounting policy, and internal controls; and audit best practices.
• Advanced Excel/Sheets skills for modeling, reconciliations, and analyses; data hygiene and process mindset.
• Excellent communication, stakeholder management, and team leadership skills; ability to translate accounting impacts for non-finance audiences.
• High level of integrity, judgment, logic, attention to detail, and commitment to deadlines.
• Experience in multi-state operations, multi-entity consolidations, and intercompany eliminations.
• Background in services, SaaS, or subscription/recurring revenue models.
• Prior involvement in M&A integration, purchase accounting, and system migrations.

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role 
• B2B set-up via SP (ФОП in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

• Project Description:

  We are looking for Regular Data Analyst (Internal Luxoft Project).
  The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
  The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
  The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
  The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
  You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

   

• Mandatory Skills Description:

  MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.
  
  MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.
  
  Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

About Yanarchy

Yanarchy is a Los Angeles–based talent management agency working with media creators and digital talents as scalable businesses.

We combine content systems, creator operations, audience growth, and AI-powered workflows to build sustainable creator businesses and scalable media products.

As our content infrastructure continues to expand, we are looking for a content production specialist who can independently execute across editing, AI-assisted content workflows, and short-form media production.

The Role

We are looking for a Content Creator / Video Editor to support high-volume content production across creator brands and internal media projects.

This role goes beyond traditional editing.

You will work across multiple content workflows, including short-form video editing, AI-generated content production, basic sound design, and content adaptation.

We are looking for someone who understands how modern social content works, can make editing decisions independently, and is comfortable balancing both creative and execution-focused tasks.

This is a role for a reliable production specialist who can consistently deliver content without requiring detailed day-to-day supervision.

What You Will Do

Short-Form Content Production

Edit and produce content for:

• Instagram Reels
• TikTok
• YouTube Shorts

using creator footage, archive materials, BTS footage, and internal media assets.

Content Adaptation

Transform existing footage into platform-native content that aligns with audience behavior and platform dynamics.

You should be comfortable making independent decisions regarding:

• pacing
• hooks
• storytelling structure
• retention optimization
• content flow

AI Video Production

Work with AI-generated content and transform materials into publish-ready videos.

This includes:

• assembling AI-generated clips
• creating narrative flow
• improving pacing
• adding music and sound elements
• preparing final deliverables

AI Image Creation

Generate static AI visuals when required for content production and creative requests.

Training on internal workflows will be provided, but we expect curiosity and willingness to adopt new tools quickly.

Sound Design & Finishing

Add audio layers, sound effects, ambience, reactions, and music to improve viewer experience and content quality.

This is not advanced cinematic sound design, but we expect attention to detail and understanding of how audio impacts engagement.

Production Operations

Maintain organized project structures, assets, exports, and production workflows.

Collaborate closely with content, creative, and operations teams to ensure smooth content delivery.

Candidate Expectations

• 2+ years of experience in video editing, content production, or social media content creation
• Strong proficiency with CapCut
• Deep understanding of Instagram Reels, TikTok, and YouTube Shorts
• Strong understanding of pacing, hooks, retention mechanics, and platform-native editing
• Ability to independently execute content production tasks without detailed supervision
• Experience working with high-volume content environments
• Strong organizational skills and production discipline
• Comfortable working with repetitive operational tasks alongside creative work
• English level B1+ for understanding briefs and internal communication

Nice to Have

• Experience working with creators, agencies, or media brands
• Experience with AI-generated content workflows
• Familiarity with image-generation tools
• Experience with basic motion graphics or visual effects
• Understanding of viral content mechanics and audience psychology
• Experience optimizing content based on performance insights

What Success Looks Like

During the first months, we expect you to:

• Consistently deliver high-quality content across multiple workflows
• Independently manage editing and production tasks
• Adapt quickly between archive content, AI content, and new creative requests
• Contribute ideas for improving content quality and production efficiency
• Become a reliable part of the content production pipeline

What We Offer

• Fully remote work
• Opportunity to work at the intersection of creator economy and AI-assisted content production
• High level of ownership and autonomy
• Exposure to modern content systems and large-scale media operations
• Fast-moving environment with direct impact on content output
• Paid vacation, sick leave, and personal days off

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description:

Are you in search for a new challenge? Are you equipped with forward looking spirit and experienced in digital design flows and tools? Design-for-Test (DFT) is a multi-disciplinary field of growing complexity which involves cooperation among multiple VLSI engineering skills, including design, architecture, verification, backend, timing, test, ATE and reliability and more. Take the opportunity and join us as a Senior DFT Engineer.

Presently we expand our Ukraine VLSI team. You'd be able to work on projects in one team with Ukrainian engineers. Our Senior stuff is open for knowledge sharing on a daily basis.

Your Role:

• DfT implementation inline with existing test methodology for advance process nodes;
• Perform top and/or block-level DFT insertion: scan compression, (i)JTAG, ATPG, patterns validation/simulation, MBIST/LBIST;
• Closely work with physical design team to resolve timing constraints/issues;
• Verify DFT circuitry and interface with other components/IPs and debug timing simulation issues;
• Debug and improve important DfT KPIs: test coverage/pattern efficiency;
• Hierarchical retargeting;

• Silicon bring-up, diagnosis and support for physical failure analysis.

   

Desired Qualifications/Skills:

• 5+ years of hands-on experience with DFT and test flows with commercial EDA tools for large and complex SOCs;
• Strong fundamental knowledge of DFT techniques including JTAG, ATPG, yield learning, logic diagnosis, Scan compression, IEEE 1500 Std. and MBIST/LBIST;
• Experience with one of the main EDAs providers: Synopsys DFT Complier, Tetramax, VCS, Tessent and Modus/Encounter tool suite;
• Experience in RTL simulation, synthesis, Linting, CDC and RDC checks, STA, DFT, quality metrics is a plus;
• Hands-on in Perl/Tcl/Python scripting;

• Excellent analytical, and problem-solving skills.

   

What you will love about working here?

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
• The Gift from the Company - Christmas holidays from December 25 to December 31.

• Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

   

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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.

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.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are launching a new iGaming brand as part of a rapidly growing holding company that develops and scales multiple online gaming projects across Tier-1 markets.

The project operates on a white-label platform and is currently in the setup phase, with a planned launch in July–August 2026. The company follows an ambitious expansion strategy, launching new brands every few months and building strong operational processes from day one.

The brand name remains confidential due to ongoing brand protection procedures.

ABOUT THE ROLE

We are looking for a detail-oriented Manual QA Engineer to become the guardian of product quality before and after launch.

This is a hands-on role focused on testing real user journeys, identifying issues before players encounter them, and ensuring a smooth gaming experience across desktop and mobile platforms.

You will work closely with platform providers, content managers, CRM specialists, and product stakeholders to maintain a stable and reliable product.

GOALS FOR PROBATION PERIOD (first 2–3 months)

• Learn the product structure, key features, and user journeys

• Audit critical customer flows and identify potential risk areas

• Establish an efficient bug reporting and tracking process

• Build effective communication with platform providers and internal stakeholders

• Take ownership of release validation and regression testing processes

• Ensure all product updates are properly tested before going live

WHAT YOU WILL DO

• Test core user flows including registration, deposits, withdrawals, bonuses, and gameplay

• Perform manual testing of website functionality and admin panels

• Conduct desktop and mobile testing across different devices and browsers

• Identify, document, and track bugs using Jira

• Validate fixes and perform regression testing

• Test promotional mechanics including welcome bonuses, free spins, cashback campaigns, and tournaments

• Verify payment processing flows and transaction logic

• Test CRM communications including emails, push notifications, and onsite messages

• Monitor integrations with CRM systems, payment providers, analytics tools, and tracking platforms

• Collaborate with platform vendors and internal teams to ensure timely bug resolution

• Continuously monitor product quality and stability after launch

WHAT WE ARE LOOKING FOR

• 1+ year of experience in Manual QA testing

• Experience testing web-based products and customer-facing platforms

• Strong understanding of user flows and business logic validation

• Experience working with Jira or similar task management systems

• Ability to write clear and detailed bug reports

• Experience testing desktop and mobile versions of products

• English level Intermediate (B1+) or higher for written communication

• Strong attention to detail and a systematic approach to testing

• Ability to work independently in a remote environment

NICE TO HAVE

• Experience in iGaming, online casino, betting, or gambling products

• Experience testing payment systems and financial transactions

• Experience validating bonus mechanics and promotional campaigns

• Understanding of CRM communications and customer lifecycle flows

• Experience working with third-party integrations and external vendors

• Basic knowledge of API testing and Postman

• Familiarity with Playwright, Cypress, or Selenium

• Experience using Hotjar, Mouseflow, Smartlook, or similar analytics tools

• Background in fintech, e-commerce, or entertainment products

WHY JOIN US

• Opportunity to join a project before launch and influence quality standards from day one

• Direct impact on product performance and customer experience

• Fast decision-making environment with minimal bureaucracy

• Fully remote work format

• Exposure to Tier-1 markets (UK & Netherlands)

• Work with experienced founders and a growing international holding

• Competitive compensation package

• Paid vacation and sick leave

• Career growth opportunities within a portfolio of multiple brands

• Access to new product launches and international-scale projects

About the Company

A growth equity investment firm focused on partnering with software and technology-enabled services businesses to accelerate expansion, support strategic initiatives, and build stronger teams. The firm typically works with management teams in growth-stage companies and helps drive both organic growth and acquisition-led expansion.

Role Overview

We are looking for Data Engineer / Analytics Engineer contractors who can embed within portfolio teams to produce reporting cubes and revenue analytics deliverables. Ideal candidates will bring a blend of technical depth, commercial awareness, project management skills, and preferably SaaS domain expertise.

What You'll Be Doing

• Embed within portfolio company data teams as a contractor
• Build and deliver data pipelines from raw source data to clean, validated output tables
• Produce reporting cubes and revenue analytics deliverables
• Reconcile pre- vs. post-migration data to maintain analytical continuity
• Translate business questions into technical implementations

Requirements

• Hands-on Technical Builder — Proficient in Python and SQL. Able to independently architect and deliver data pipelines from raw source data through to clean, validated output tables.
• Commercially Oriented — Ideally 2+ years in a consulting, advisory, or deal-support environment (e.g. Big 4, boutique analytics consultancy). Comfortable translating business questions into technical implementations.
• System & Data Migration Experience — Has worked on ERP, CRM, or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee). Understands data quality pitfalls — duplicate customers, broken historical linkages — and knows how to reconcile pre- vs. post-migration data to maintain analytical continuity.
• Accounting or SaaS Exposure — Either an accountant by trade or someone with SaaS revenue analytics exposure. Familiar with subscription metrics (ARR, NRR, churn), snowballs, and billings-to-revenue reconciliations.

Candidate Requirements

• Ukrainian native speaker
• English proficiency: C1 or higher
• Remote — candidates located anywhere are welcome to apply

We are seeking a Top-Tier Senior DevOps Engineer to serve as a cornerstone of the Customers Area development team. You will be responsible for the end-to-end reliability, scalability, and automation of our next-generation CRM and Communication Platform. You will bridge the gap between development and operations, implementing robust CI/CD frameworks and platform-engineering standards that ensure high availability in a regulated production environment.

Core Responsibilities

• Architectural Excellence: Design, deploy, and maintain scalable cloud infrastructure utilizing advanced Infrastructure as Code (IaC) methodologies.
• Pipeline Engineering: Build and optimize sophisticated CI/CD pipelines to accelerate deployment cycles while maintaining strict security and quality gates.
• Reliability & Performance: Act as a lead SRE in production, performing root cause analysis, managing incident resolution, and optimizing system observability.
• Strategic Alignment: Collaborate directly with platform teams and stakeholders to advocate for and implement organizational DevOps best practices.
• Operational Autonomy: Operate independently within a regulated environment, ensuring compliance and platform stability.

Technical Requirements 

• Cloud Infrastructure: Expert-level proficiency in AWS (IaaS).
• Infrastructure as Code: Advanced experience with Terraform and Terragrunt.
• DevOps/SRE Operations: Deep hands-on experience in platform engineering, CI/CD automation, and large-scale incident management.
• Production Readiness: Exceptional ability to troubleshoot complex production environments and conduct systematic post-incident analysis.
• Communication: Professional fluency in English; demonstrated ability to manage stakeholder expectations in high-stakes environments.

Preferred Technical Competencies

• Expertise in Kubernetes and advanced observability tooling (e.g., Prometheus, Grafana, ELK/Datadog).
• Deep knowledge of Amazon Connect or similar Contact Center/CRM ecosystems (e.g., Salesforce integration).
• Proven track record in mentoring junior engineering talent and driving technical excellence across teams.

About Grade.app
Grade.app is an ERP system for IT companies and digital agencies (10–500 employees) that helps manage finances, teams and operational processes all in one place.

We already have a steady stream of leads (from marketing, partners and outbound), and now we need someone to turn those leads into revenue.

Responsibilities

• Identify, research, and generate new leads among IT companies and digital agencies (10–500 employees)
• Execute outbound campaigns via LinkedIn, email, and other relevant channels
• Qualify inbound leads from marketing and partners to ensure they match our ICP
• Build and maintain lead lists and outreach pipelines
• Personalize outreach messages to increase response and conversion rates
• Collaborate closely with sales to ensure smooth lead handoff and pipeline growth
• Track and report on outreach performance (open rates, reply rates, conversions)
• Maintain accurate data in CRM systems
• Continuously test and improve outreach strategies and messaging

Requirements

• 0.5–2 years of experience in lead generation or a similar role (B2B SaaS is a plus)
• Strong written communication skills (especially for cold outreach)
• Understanding of outbound sales processes and lead qualification principles
• Experience with LinkedIn, email outreach tools, and CRM systems (e.g., HubSpot, Pipedrive) is a plus
• Ability to research companies and identify decision-makers
• Results-driven mindset with attention to detail