Jobs at Djinni

Profisea is a boutique DevOps and Cloud company – Premier Partner of AWS, specializing in Cloud Architecture, DevOps, DevSecOps and FinOps.  
We are seeking a highly motivated Junior Project Manager to join our dynamic team. This role is perfect for someone eager to grow their project management skills in a fast-paced, rapidly evolving environment. You will have the opportunity to work closely with Senior Project Manager and cross-functional teams, gaining hands-on experience while managing smaller projects and supporting larger initiatives. This role offers excellent growth potential, with a focus on learning and development. 
 
Responsibilities: 
 

• Assist in the planning, coordination, and execution of multiple projects in parallel. 
• Work alongside senior project managers to ensure projects are delivered on time, within scope, and budget. 
• Develop project documentation including project plans, timelines, and status reports. 
• Coordinate with stakeholders to gather requirements, track progress, and communicate project updates. 
• Assist in identifying project risks and developing mitigation strategies. 
• Support the team in maintaining and improving project management processes. 
• Participate in team meetings, providing input on project status and suggesting improvements. 
• Gain knowledge of various project management tools and methodologies. 

 
Skills & Qualifications: 
 

• Knowledge of English - Upper Intermediate + 
• Bachelor’s degree in Business, Project Management, or related field will be a plus. 
• Strong organizational and multitasking skills with the ability to manage multiple priorities. 
• Eagerness to learn and adapt quickly in a fast-paced environment. 
• Excellent communication skills, both written and verbal. 
• Ability to work collaboratively with cross-functional teams. 
• Basic understanding of project management principles and tools (e.g., MS Project, JIRA, Trello). 
• Problem-solving mindset with attention to detail. 
• Strong analytical, planning, and organizational skills with an ability to manage competing demands; 
• Good negotiation skills, knowledge of business etiquette, excellent communication skills; 
• Strong team orientation and the ability to build cohesiveness to achieve results. 

 
What we offer: 
 

• Opportunity to be part of a fast-growing company and to grow with us  
• Being at the peak of DevOps and Cloud services industry  
• Professional working environment, where you’d be an essential member of our company 

HRAVITY is looking for a Technical Recruiter to join our team. We are a technical recruitment agency placing Senior+ engineers and tech leaders at product companies and startups across the US and EU. We don’t do volume hiring, we work with small and mid-sized teams who care about hiring quality over speed.
 

Our team mainly works in a full recruitment cycle: from the first call with a hiring manager to an accepted offer. The focus of this role is on driving sourcing and recruitment efforts, as part of a small agile team. You'll run 1–3 open roles at a time, just enough to actually understand what each client needs and find the right person. This role is ideal for candidates with an educational background in IT or some initial experience in the tech field, who are eager to grow their career in recruitment.
 

WHAT AM I GOING TO DO?

• Active sourcing — most of your candidates won't be actively looking. You'll build outreach strategies, test new channels, quickly read what the market looks like for a given role, and iterate until you find what works.
• Job marketing — write JDs that attract the right people, choose where to post them, and manage the inbound flow
• Screening & interviews — you'll talk to a lot of people. For each conversation, there are two jobs: present the role in a way that makes the right candidate interested, and run a structured interview to assess whether they actually fit.
• Coordination — schedule interviews, keep all sides aligned, and make sure the process moves without unnecessary delays. The best candidate experience often comes down to this.
• Client collaboration — run discovery calls, ask the questions hiring managers didn't think to answer, and turn vague requirements into a search strategy. Iterate, update, be a partner and lead client through the process.
• Talent pipeline — build and maintain a reserve of strong candidates you've already vetted. Keep relationships warm so when a role opens, you're not starting from zero.
• Process & records — keep the ATS (Notion) clean, up to date, and document what works. We're a small team, so good habits here matter.
   

WHAT ARE THE QUALIFICATIONS?

• 2+ years in IT recruitment, ideally with US or EU markets
• Strong sourcer — you know your way around sourcing tools and automation, and don't rely on one channel
• Strong English (B2) — you'll be writing JDs, running interviews, and managing client relationships in it daily
• Education in IT or completed technical courses — you understand how software is built, can read a tech stack, and follow a conversation with developers
• Structured thinker — you communicate in a clear way, prioritize well, and can articulate your reasoning
• Self-driven — you manage your own workload, flag issues before they become problems, and don't need someone to check if things are moving. We trust people to own their work without being reminded.
   

WHAT ARE THE WORKING CONDITIONS?

• Remote-first setup, flexible working hours and unlimited vacation policy
• Supportive and collaborative atmosphere with flat hierarchies and BS-free environment
• Full tax and expense coverage, all necessary equipment, tools, and resources
• Competitive base salary with uncapped performance-based bonuses
• Comprehensive insurance coverage, gym memberships and more

HRAVITY is looking for a Technical Recruiter to join our team. We are a technical recruitment agency placing Senior+ engineers and tech leaders at product companies and startups across the US and EU. We don’t do volume hiring, we work with small and mid-sized teams who care about hiring quality over speed.
 

Our team mainly works in a full recruitment cycle: from the first call with a hiring manager to an accepted offer. The focus of this role is on driving sourcing and recruitment efforts, as part of a small agile team. You'll run 1–3 open roles at a time, just enough to actually understand what each client needs and find the right person. This role is ideal for candidates with an educational background in IT or some initial experience in the tech field, who are eager to grow their career in recruitment.
 

WHAT AM I GOING TO DO?

• Active sourcing — most of your candidates won't be actively looking. You'll build outreach strategies, test new channels, quickly read what the market looks like for a given role, and iterate until you find what works.
• Job marketing — write JDs that attract the right people, choose where to post them, and manage the inbound flow
• Screening & interviews — you'll talk to a lot of people. For each conversation, there are two jobs: present the role in a way that makes the right candidate interested, and run a structured interview to assess whether they actually fit.
• Coordination — schedule interviews, keep all sides aligned, and make sure the process moves without unnecessary delays. The best candidate experience often comes down to this.
• Client collaboration — run discovery calls, ask the questions hiring managers didn't think to answer, and turn vague requirements into a search strategy. Iterate, update, be a partner and lead client through the process.
• Talent pipeline — build and maintain a reserve of strong candidates you've already vetted. Keep relationships warm so when a role opens, you're not starting from zero.
• Process & records — keep the ATS (Notion) clean, up to date, and document what works. We're a small team, so good habits here matter.
   

WHAT ARE THE QUALIFICATIONS?

• 2+ years in IT recruitment, ideally with US or EU markets
• Strong sourcer — you know your way around sourcing tools and automation, and don't rely on one channel
• Strong English (B2) — you'll be writing JDs, running interviews, and managing client relationships in it daily
• Education in IT or completed technical courses — you understand how software is built, can read a tech stack, and follow a conversation with developers
• Structured thinker — you communicate in a clear way, prioritize well, and can articulate your reasoning
• Self-driven — you manage your own workload, flag issues before they become problems, and don't need someone to check if things are moving. We trust people to own their work without being reminded.
   

WHAT ARE THE WORKING CONDITIONS?

• Remote-first setup, flexible working hours and unlimited vacation policy
• Supportive and collaborative atmosphere with flat hierarchies and BS-free environment
• Full tax and expense coverage, all necessary equipment, tools, and resources
• Competitive base salary with uncapped performance-based bonuses
• Comprehensive insurance coverage, gym memberships and more

About Us: Kebeta.ai is a deep-tech studio that builds custom AI solutions beyond generic APIs. We specialize in NLP, Knowledge Graphs, and Deep Reinforcement Learning in domains like Media, Autonomous Trading, Tourism, etc.
About Project: An application that brings AI into highly specialized professional fields, enabling them to benefit from the latest cutting-edge advancements.
We are currently looking for a talented Python Developer for our team. 

Requirements:

 ● Over 2 years of experience and strong knowledge of Python 3.9+, including multiprocessing and asyncio; 

 ● Hands-on experience with FastAPI and Pydantic for building web services;

 ● Solid understanding of SQLAlchemy and ORM concepts;

 ● Proficiency in Pandas for data analysis;

 ● Basic knowledge of NumPy and understanding of the vectorization concept;

 ● Experience with data visualization using matplotlib and plotly;

 ● Good understanding of data structures;

 ● Knowledge of relational databases and SQL;

 ● Experience working with PostgreSQL;

 ● Understanding of web services architecture and integration standards;

 ● Experience in developing and documenting REST APIs, including Swagger;

 ● English — Intermediate level;

 Will be plus:

 ● Understanding of prompting / interaction concepts with LLMs like ChatGPT, LLama, etc;

 ● More advanced understanding of Numpy and how math translates into code;

 ● Knowledge of “Fast App Builders” like Streamlit or Jupyter.

 Key Responsibilities:

 ● Design separate components, modules, classes etc;

 ● Code, debug, document, and maintain portions of software;

 ● Participate in peer code and design reviews;

 ● Participate in estimation and planning sessions;

 ● Contribute to development of technical project documentation and user documentation;

 ● Provide assistance to test engineers and support personnel in solving technical issues of software installation and its operation;

 ● Participate in conference calls and face-to-face meetings;

 ● Spot current deficiencies in the development process, adopted procedures and engineering practices, environment configurations, etc., and suggest improvements;

 ● Escalate technical issues to the Architect, Team Lead and Project Manage.

 Location: Ukraine: remote.

 We offer:

 ● The ability to focus on your work: a lack of bureaucracy and micromanagement;

 ● Competitive compensation depending on skills and experience level;

 ● Ability to learn new technological stacks, which help you to grow professionally and advance your career;

 ● Friendly atmosphere, concern for the comfort of specialists;

 ● English lessons;

 ● Flexible schedule depends on project’s needs;

 ● 15 working days of vacation;

 ● 12 working days per year are allowed to be “no show days” due to personal reasons.

We are looking for a Senior Data Scientist to build the core intelligence layer of our Session Analyzer product: scoring, audience segmentation, and prescriptive recommendations for pharmaceutical marketing teams. You will operate as a “full-stack” data scientist across data validation, data engineering (prod pipelines), ML modeling, causal measurement, and AI-assisted workflows (agents for insights and data diagnostics). You will work directly with the Product Lead and Tech Lead.

Responsibilities

- Design and ship scoring, segmentation, and recommendation features based on pixel session/event data, NPI-enriched profiles, and 3rd-party datasets.

- Build a data quality & validation framework from scratch: tests, monitors, anomaly detection, drift tracking, and root-cause workflows across the data chain.

- Deliver batch PoC (days latency) and evolve to near-real-time MVP (hours latency) pipelines and feature tables.

- Develop and evaluate ML models for engagement prediction and audience targeting; ensure calibration, stability, and business-relevant lift.

- Define and implement measurement/attribution approaches to support ROI uplift and explain “what worked / why”.

- Build AI agents for (1) automated data issue diagnostics and (2) insight/presentation generation, with guardrails and traceability.

- Produce outputs as score tables, top insights, aggregates/features, dashboards/reports, and APIs for audience activation and CDP/CRM integrations.

Requirements

- 5+ years in Data Science / Analytics roles with production ownership.

- Strong Python + SQL; hands-on building production pipelines and data products.

- Experience with event/session analytics, aggregation modeling, and working with noisy web/pixel data.

- Proven ability to build propensity/engagement models, segmentation, and recommendation logic; strong evaluation practices.

- Working knowledge of causal inference / attribution methods for marketing effectiveness.

- Experience with GCP / BigQuery in production; familiarity with ClickHouse/Postgres is a plus.

- Ability to operate end-to-end: problem framing → data validation → modeling → deployment → monitoring → stakeholder comms.

- Hands-on experience building and operating data-driven marketing/advertising analytics products, including event-level measurement, audience segmentation, activation workflows, and performance attribution (AdTech/MarTech environments).

Nice-to-have: 

- Experience with agents (LLM-based workflows), automated insights, and safe deployment patterns.

- Familiarity with data quality tooling (e.g., Great Expectations/dbt tests) and observability.

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 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.

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

Job Description

• Take full responsibility and ownership of products from inception to production
• Own the product life cycle from conducting market, data, BI and user research to defining wireframes and KPIs to overseeing the development process
• Create and maintain relationships with Product Managers and teams across Wix
• Work closely with top-notch professionals in a huge range of disciplines across Wix to take your product to market
• Talk to users and members of our Customer Care workforce, analyze user data, and conduct usability tests to continually improve the product

• Play a key role in building the roadmap

   

Requirements

• 3+ years of experience building consumer web or mobile products, working in collaboration with other PMs across multiple teams
• Great visual aptitude and analytical skills
• You’re fluent in defining workflows, sketching wireframes, and analyzing user needs, intents and business cases
• You have excellent teamwork and communication skills and are able to explain ideas in a clear and concise way
• You’re not intimidated by tough challenges — producing high-quality solutions is important to you
• You’re an independent learner with the ability to lead a project from A to Z
• Experience in R&D, UX or Content Management as a developer, designer, writer or manager would be an advantage
• Experience building AI products would also be an advantage

We are looking for a Marketing / Commercial Data Scientist to build the intelligence layer of our Session Analyzer product — including scoring systems, segmentation, recommendation models, and causal measurement frameworks for pharmaceutical marketing teams.

This role sits at the intersection of behavioral data, machine learning, and marketing analytics. You will work end-to-end: from raw event data → feature engineering → modeling → production pipelines → business insights.
 

You’ll collaborate closely with Product and Tech Leads to turn complex behavioral signals into actionable commercial intelligence.

🛠 Requirements

• 5+ years in Data Science / Analytics
• Experience building production ML systems
• Strong ownership of end-to-end data science workflows
   

Technical Skills

• Python, SQL, PostgreSQL
• GCP / BigQuery /ClickHouse
• Data pipelines & feature engineering
• Experience with LLM-based agents / AI workflows
• Event-level / session analytics
• Aggregation modeling
• Propensity / engagement modeling
• Segmentation
• Recommendation systems
• Model evaluation & monitoring
• Experience in AdTech / MarTech / Marketing Analytics
• Marketing attribution & measurement
• Behavioral / clickstream / pixel data
   

🧠 What You’ll Work On

🔹 Behavioral & Scoring Models

• Build propensity and engagement models (e.g., prescribing likelihood, rep response, content affinity)
• Develop switch / churn-style models and brand adoption predictions
• Design segmentation frameworks based on behavioral and profile data
   

🔹 Recommendation & Personalization

• Build recommendation systems using session and event-level data
• Model multi-channel engagement and content affinity
   

🔹 Causal Inference & Attribution

• Design and implement marketing attribution models
• Apply causal inference techniques (uplift modeling, incrementality testing, treatment/control analysis)
• Connect marketing exposure → downstream outcomes
   

🔹 Data & Feature Engineering

• Build feature pipelines from event/session data (clicks, scroll depth, dwell time, downloads, video plays)
• Create aggregated feature tables and scoring datasets
• Work with high-volume data systems (e.g., ClickHouse, BigQuery)
   

🔹 Production & Data Quality

• Deploy and maintain production ML pipelines
• Implement data validation, monitoring, anomaly detection, and drift tracking
   

🔹 AI & Insight Automation

• Build LLM-powered workflows for:
  • Automated insight generation
  • Data diagnostics
  • Structured analytical outputs (e.g., JSON)
     

🎯 What Success Looks Like

• You build reliable scoring systems used in production
• Your models drive measurable marketing impact
• You translate behavioral data into clear, actionable insights
• You help evolve the system toward real-time intelligence & automation
   

🧪 Interview Process

• Screening Interview
• Technical Interview
• Bar Raiser

We are seeking a highly motivated and technically proficient QA Automation Engineer to join our dedicated testing team. You will play a crucial role in ensuring the successful and high-quality delivery of software products for our client, a prominent American multinational automaker.
This position offers a challenging and dynamic environment within a multicultural international team, demanding strong problem-solving skills and a proactive approach.

• Responsibilities:

  Design, develop, and execute robust automated test scenarios on a daily basis, utilizing Python as the primary scripting language.
  Framework Management: Actively contribute to a new and maintain the existing automation frameworks
  Ensure comprehensive test coverage by writing detailed test scenarios
  Engage in specialized testing of automotive systems, including validation of in-vehicle components
  Work closely with developers, business analysts, and product owners within the Scrum framework, actively participating in sprint planning and daily stand-ups.

• Mandatory Skills Description:

  Prior work or experience with embedded or automotive systems, especially in the context of multi-ECU scenarios.
  Experience developing, debugging, and maintaining Python code for automated testing.
  Thoroughly analyze logs, and quickly resolve issues within automated testing pipelines.
  Knowledge managing Python virtual environments and dependencies.
  Knowledge Git for version control and JFrog Artifactory for artifact management in a collaborative, automated test environment.
  Ability to read and follow technical documentation in English.
  Strong communication skills for collaboration with developers, testers.

• Nice-to-Have Skills Description:

  Experience with test automation for automotive multimedia, connectivity, and driver-assistance features.
  Hands-on expertise with modern test automation frameworks, especially those supporting Behavior-Driven Development (BDD) and keyword-driven testing.
  Skilled in translating requirements and Gherkin scenarios into robust, executable automation logic.
  Ability to analyze, optimize, and troubleshoot both hand-written and AI-generated Python test scripts for reliability and maintainability.
  Hands on experience with testing of ADAS features such as Camera, Parking Assist, and Driving Assistance modules.
  Exposure to automotive communication protocols (e.g., CAN, LIN, Ethernet).

Location: Remote (Egypt,Tailand,Romania,Vietnam)

About Us: We are an international digital agency operating since 2021. We are currently scaling our infrastructure globally and looking for an experienced Supply Chain Manager to build a stable supply system of physical SIM cards for our Google Ads department.

Key Responsibilities:

• Vendor Sourcing: Finding and establishing connections with major mobile dealers, wholesalers, and local partners across target regions.
• Bulk Procurement: Organizing regular purchases of large batches of SIM cards from various mobile operators on the most favorable terms.
• Compliance & Negotiation: Negotiating prices and navigating local limitations on mass registration/activation of cards.
• Logistics Management: Controlling the delivery chain: from the vendor's warehouse to our specialists in various locations.
• Quality Assurance: Pre-checking batches for "purity" (ensuring no prior registrations in Google/SMS services).
• Inventory Tracking: Keeping records of stock levels, monitoring SIM card lifespans, and planning future deliveries.

Requirements:

• Language Skills: Fluent Ukrainian and the local language of the operational region (Native/C2) — essential for negotiations with local businesses.
• Background: 1+ years of experience in procurement, logistics, or telecommunications within the relevant market.
• Networking: Strong skills in finding informal supply channels and negotiating special terms.
• Proactive Attitude: Ability to independently solve logistics issues and handle replacements for defective goods.
• Tech Savvy: Basic understanding of why SIM cards are needed for Google Ads (we will provide specific training).

What We Offer:

• Competitive Salary: Paid in USDT.
• Unlimited Budgets: We are ready to purchase as much high-quality material as you can source.
• Independence: Full freedom in choosing vendors and work methods.
• Growth: Opportunity to lead the infrastructure department in a specific global region.

VIP Manager (iGaming)
 

Responsibilities

— Manage a portfolio of VIP clients following established scripts and guidelines.
— Maintain daily/weekly touchpoints (messengers / calls / email), based on individual client needs.
— Provide basic personalized offers using a bonus matrix (cashback / free spins / free bets / bonuses).
— Control bonus issuance and ensure compliance with terms & conditions.
— Collect and analyze client feedback.
— Handle escalations (payments / verification / risk / support).
— Prepare basic reports as required.
 

Requirements
— 1.5–2+ years of experience in iGaming / online casino.
— Proven experience handling client objections.
— Strong understanding of VIP customer service and communication.
— High level of responsibility and attention to detail.
— стрессоустойчивость, гибкость и адаптивность.
— Excellent communication skills.
— Ability to multitask and work in a fast-paced environment.
— Team player mindset.
— Results-driven with understanding of key KPIs.
 

Languages
— English: B2+
— Uzbek: C1
 

Nice to Have
— Experience working with iGaming B2B CRM systems.
 

Working Conditions
— Remote work.
— Flexible start of the working day.

Here is the revised version of the job description in English. I’ve adjusted the phrasing and structure to make it feel unique for a different recruiter's post on Djinni while maintaining the exact core requirements and brand identity of EverREST.

Business Analyst (Salesforce / RevOps)
EverREST is a premier Salesforce & RevOps consulting firm dedicated to transforming complex operational chaos into streamlined revenue growth. We are looking for a strategic Business Analyst to join our international team and act as the vital bridge between high-level business goals and technical delivery for our global clients.

The Role: Your Impact
Discovery & Strategy: Lead discovery workshops to extract requirements, define project scope, and align global stakeholders on vision.

Process Engineering: Analyze, map, and optimize intricate business workflows to ensure Salesforce solutions are built for maximum efficiency.

Requirement Architecture: Translate high-level business needs into actionable technical artifacts: User Stories, Acceptance Criteria, and detailed process maps.

Cross-functional Alignment: Partner closely with Salesforce Developers, Admins, and QA teams to ensure the technical build stays true to the functional design.

Quality Assurance: Oversee User Acceptance Testing (UAT) to ensure the final delivery exceeds client expectations and quality standards.

What You Bring to the Team
English Mastery (C1): Exceptional verbal and written communication skills. You are persuasive, professional, and comfortable navigating daily interactions with international stakeholders.

Salesforce Expertise: 1.5–3 years of hands-on experience as a BA within the Salesforce ecosystem (knowledge of Sales, Service, or Experience Cloud data models is essential).

Enterprise DNA: A proven track record of working with large-scale Enterprise organizations, understanding their security needs and complex internal hierarchies.

Technical Documentation: Proficiency in creating structured assets, including Flow Diagrams, BRDs, and User Guides within an Agile/Scrum framework.

Value-Driven Mindset: A focus on business outcomes and product adoption rather than just ticket completion.

Why Join EverREST?
High-Ticket Projects: Gain experience working on massive, complex ecosystems for major international corporations.

Autonomy & Trust: We operate without micro-management. We hire experts and trust them to own their work and drive results.

Professional Delivery Culture: Enjoy a flexible schedule and a supportive, high-performance environment where initiative is genuinely rewarded.

Job Description

5+ years as DevOps Engineer in Linux environment

5+ years of Python development

Deep knowledge of networking and security

Hands-on experience with Linux, Containers, Kubernetes and AWS

Strong skills in Shell scripting and CI/CD pipelines

Excellent problem-solving and communication skills

Lead activities using Agile/Scrum methodologies

Job Responsibilities

Maintain and improve CI/CD pipelines

Administer on-prem Linux (Debian-based) servers

Manage AWS infrastructure

Lead Kubernetes (K8s) operations

Build internal DevOps tools (Python, Shell)

Troubleshoot systems, monitor performance, and identify bottlenecks

Collaborate with Automation and R&D teams as support tier

Participate in the DevOps on-call routine

Mentor and promote DevOps best practices and team members

Department/Project Description

Our customer is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development, QA and support of several generations of these solutions.

DevOps team:
• Develops and maintains a tool set and a framework for building customer product. These include a
variety of Linux systems, including Embedded Systems, Data Center Servers and Containerized
solutions. This framework builds Debian packages and Docker images, and assembes a deliverable
product.
• Maintains on-premise Debian servers, Cloud and VMs for running this framework. The build system
consists of an array of Python, Perl and Bash modules, and uses REST API servers and clients, and
some Jenkins automation.