Jobs at Djinni

We are seeking a motivated Junior Big Data Engineer to join our team. In this role, you will contribute to the development and maintenance of data pipelines, data models, and data processing solutions within modern cloud and big data environments. You will work closely with senior engineers to build scalable data solutions and support data-driven business initiatives.

The ideal candidate has hands-on experience with Python, PySpark, and SQL, a solid understanding of data engineering fundamentals, and an interest in working with large-scale data platforms and AI-powered solutions.

Key Responsibilities:

• Support the design, development, and maintenance of data pipelines and ETL/ELT processes.
• Develop and optimize data transformation workflows using Python and PySpark.
• Assist in integrating data from multiple sources while ensuring data quality, consistency, and reliability.
• Collaborate with data engineers, data scientists, and AI/ML engineers to prepare and manage datasets for analytics and machine learning applications.
• Participate in data modeling, schema design, and data warehousing activities.
• Monitor data pipelines, investigate issues, and contribute to performance improvements.
• Follow data governance, security, and privacy best practices.
• Document technical solutions, processes, and data flows.
• Stay current with emerging technologies and industry trends, incorporating innovative solutions into data engineering practices, and effectively document and communicate technical solutions and processes.

Tools and skills you will use in this role:

• Palantir Foundry
• Python
• PySpark
• SQL
• TypeScript

Requirements:

• 1+ year of experience in data engineering
• Strong proficiency in Python and SQL
• Hands-on experience with PySpark
• Familiarity with big data technologies (e.g., Apache Hadoop, Spark, Kafka, BigQuery, etc.)
• Basic experience with cloud services (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow)
• Understanding of ETL/ELT pipelines and data integration techniques
• Experience with database systems (e.g., PostgreSQL, MySQL, NoSQL, etc.)
• Effective problem-solving and analytical skills, coupled with excellent communication and collaboration abilities
• Strong communication and teamwork abilities
• Strong mathematical, statistical, and algorithmic skills
• English - Upper-Intermediate or higher

Nice to have:

• Experience with AI/ML
• Previous experience working with JavaScript and TypeScript

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with C# 
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

TruxSpot is a US-based logistics platform changing the game for truck drivers and parking owners. Finding a safe, legal parking spot in the US is a daily nightmare for truckers. TruxSpot solves this by allowing drivers to find and book parking in advance, saving time and keeping them compliant.
We are looking for a creative, sharp, and trend-savvy Video Content Creator (Short-form) — specifically a Ukrainian specialist working remotely from anywhere in the world — to help us conquer US social media (TikTok, Instagram, and X/Twitter).
What You’ll Do:

End-to-End Video Production: Ideate, script, edit, and publish high-engaging short-form videos (Reels, TikToks, Shorts) tailored to US truck drivers.
Trend Hooking: Monitor US social media trends, memes, and viral formats, adapting them to the trucking niche.
Visual Magic: Create catchy animations, kinetic typography, and engaging visuals to make our value prop pop.
AI Integration: Use modern AI tools for video/audio generation to speed up your workflow and scale content creation.
Platform Growth: Manage and grow at least one of our primary social channels, maintaining a consistent brand voice.
What We Are Looking For:

Nationality/Mindset: Ukrainian specialist (open to candidates located both in Ukraine and abroad).
English Level: Upper-Intermediate (B2). You should be comfortable writing hooks and captions (using AI tools to refine them if needed).
Flexible Tech Stack: Proficiency in CapCut/Premiere Pro (for fast, trendy mobile editing) and/or Adobe After Effects (for custom motion graphics and kinetic text animation). Plus basic skills in Figma.
Experience with the U.S. market and interest in the U.S. trucking industry
App Marketing Mindset: Experience creating content for mobile apps (showcasing features and driving downloads) is highly preferred.

Nice to Have:
Growing social accounts from zero
Community building experience
Founder personal branding
Experience promoting mobile apps
LinkedIn /Facebook /Reddit/YouTube growth
Influencer partnership experience

What We Offer:
100% Remote work from any corner of the world with a flexible schedule.
A unique, stable product with a clear mission and a massive target market in the USA.
Competitive compensation (pegged to USD).
No corporate bureaucracy — fast decision-making and creative freedom.
Our Selection Process:

Prescreen Call (30 mins): A casual introductory call with our recruiter to meet each other, chat about your background, and align on mutual expectations.
Test Assignment: A small practical task to check your skills.
Interview with our Marketer: A deeper dive into your creative approach, portfolio, and marketing mindset to see how we can crush our goals together.

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

• Responsibilities:

  Interaction with business stakeholders and end users, functional testing of team deliverables.
  - manual testing of desktop application (trading platform)
  - manual testing of mobile application (web version)
  - automation testing as a plus (Cucumber, Selenium, etc)
  - creation test cases in TestRail
  - be pro-active in terms of process building

• Mandatory Skills Description:

  min 7 years of QA Automation (Java or Python) experience
  Analytical Skills, Manual Testing, Linux/Unix
  Good communication skills/proactive
  Trading experience

We’re looking for a skilled Email Marketing Specialist who can build an email campaign - from concept to full implementation.

     Responsibilities:

• Managing and planning email communications
• Uploading and reviewing content, ensuring messages are delivered to the right audience
• Collaborating with the team to ensure content is relevant and delivered on time

     Requirements:

• 6+ months of experience in email marketing
• Experience with email marketing tools/platforms (e.g., Customer.io, SendPulse, or similar)

• Basic understanding of user segmentation and analytics

   

  What We Offer

• Flexible work format (full-time or part-time).
• 22 paid days off per year (vacation + sick leave).

     Interview process:

• Intro  - 45 min
• Technical Interview with CEO and HR — up to 1 hour
• Reference Check
• Offer

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with at least one JVM language
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? 

Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with Python
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer 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, Apache Beam/Apache Spark, 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 Java or 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/Data Engineer
• Strong production experience with Java or Scala
• Experience with Apache Beam or Apache Spark
• 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

Company Description

Are you a seasoned engineer passionate about building scalable, high-performance systems? This Senior-level role offers the opportunity to work remotely with talented teams across Europe, Ukraine, and LATAM.

At Sigma Software, we deliver cutting-edge solutions for global customers, combining technical excellence with a service-minded approach. In this role, you will join a distributed team to architect and evolve an advanced Ads platform, contributing to both innovation and stability.

Why join us? You will work on complex, high-impact systems, collaborate with international experts, and enjoy the freedom to shape architecture and technical patterns that drive long-term success.

CUSTOMER

We partner with a leading company in the AdTech space, delivering high-performance, scalable solutions that empower advertisers to manage campaigns, optimize targeting, and analyze results in real time. The Customer values innovation, reliability, and long-term collaboration, and operates globally with distributed teams in Europe, LATAM, and other regions.

PROJECT

The project focuses on building and evolving core systems for an advanced Ads platform integrated into a product for the interior decor industry. This product enables users to preview and visualize home items before purchase, enhancing shopping experiences both online and in-store.

Job Description

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting
• Architect scalable, reliable, and high-performance distributed systems
• Optimize systems for high-throughput and low-latency event/data processing
• Drive architectural decisions and establish development patterns
• Collaborate with distributed teams to ensure seamless integration and delivery
• Mentor and guide other engineers, fostering technical excellence

• Ensure code quality, maintainability, and alignment with long-term product goals

   

Qualifications

• At least 5 years of commercial experience in building scalable, high-performance systems
• Hands-on experience with AdTech solutions such as DSP, SSP, ad exchange, prebid, Google Ad Manager, or openRTB
• Strong proficiency in Python, preferably with the Django framework
• Solid knowledge of computer science fundamentals, including data structures, algorithms, and distributed systems
• Good understanding of distributed system architecture with a focus on data availability, reliability, and performance
• Practical experience with Kubernetes, PostgreSQL, and AWS

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with dbt and Redshift

• Familiarity with interior decor industry solutions

   

Additional Information

PERSONAL PROFILE

• Attention to detail and quality
• Excellent communication skills
• Leadership mindset, proactiveness

Who we are

Adaptiq is a technology hub that helps fast-growing product companies build, scale, and support strong R&D teams across different industries.
 

About the Product

We are developing an AI-first maritime intelligence platform that combines multiple global maritime data sources into one operational view. The product creates a digital twin of worldwide maritime activity and uses behavioral analytics, predictive AI models, and advanced data processing to detect risks such as smuggling, illegal fishing, container threats, and other compliance or security issues.

The platform is used by commercial, regulatory, and government customers, operating at global scale and processing millions of events along with terabytes of geospatial data every day. It is built on cloud infrastructure, microservices, and close integration with research and data science prototypes.
 

About the Role

As a Senior Backend Python Engineer, you will join an autonomous team focused on building and scaling agentic, AI-first workflows within a production-grade maritime intelligence platform.

You will be responsible for designing, delivering, and operating backend services that support generative AI agents at scale. The role involves influencing architecture, improving AI-SDLC practices, and helping shape agent-based automation used in real-world defense, regulatory, and enterprise scenarios.
 

Key Responsibilities

• Design and develop scalable Python-based microservices for agentic workflows, data pipelines, and distributed systems.
• Contribute to frontend development with React when needed.
• Integrate generative AI capabilities into production systems, including LLM APIs, RAG pipelines, and autonomous agents.
• Build operational practices and observability for AI components, including monitoring for model drift, hallucinations, and performance metrics.
• Implement and improve AI-SDLC standards, including code reviews, automated testing, CI/CD pipelines, and trace-based quality evaluation.
• Design and maintain infrastructure as code using Terraform, Kubernetes, and AWS services.
• Improve engineering velocity and product quality through automation, tooling, and architecture improvements.
• Mentor engineers on AI frameworks, developer tools, and best practices for high-scale agentic development.
• Work closely with product and research teams to turn user needs into reliable, secure, and scalable backend services.
   

Required Skills and Experience

• 7+ years of professional backend engineering experience.
• At least 2 years of experience building agentic or autonomous AI workflows in production.
• Strong hands-on experience with Python.
• Practical experience with agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes, or similar.
• Proven experience designing scalable, event-driven architectures on AWS.
• Experience with messaging systems such as SQS/SNS and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design.
• Solid DevOps background, including CI/CD, Kubernetes, and Terraform.
• Experience with production-grade security, monitoring, and incident response for mission-critical systems.
• Strong communication skills, autonomy, ownership, and ability to work in fast-paced, ambiguous environments.
   

Nice to Have

• Experience with React.js or full-stack development.
• Familiarity with vector databases and similarity search for AI applications.
   

Why Us

• 20 vacation days per calendar year, plus official national holidays in the country where you are based.
• Full accounting and legal support in all countries where we operate.
• Fully remote work model.
• Powerful workstation provided.
• Co-working space support if needed.
• Competitive compensation package with annual performance and salary reviews.

We are looking for a Senior DevOps Engineer to help build, scale, and operate the cloud infrastructure behind our AI-powered platform.

You will work closely with software engineers, data engineers, and AI teams to ensure our infrastructure is reliable, secure, scalable, and highly automated. This role is ideal for someone who enjoys solving complex infrastructure challenges and building modern cloud-native environments.

Responsibilities

• Design, build, and maintain scalable cloud infrastructure.
• Manage and optimize AWS environments.
• Develop and maintain Infrastructure as Code using Terraform.
• Build and improve CI/CD pipelines for multiple engineering teams.
• Automate deployment, provisioning, and operational processes.
• Support containerized workloads and cloud-native applications.
• Monitor system health, performance, and reliability.
• Improve observability through monitoring, logging, and alerting solutions.
• Implement security best practices across infrastructure and deployment pipelines.
• Troubleshoot production issues and participate in root-cause analysis.
• Collaborate with engineering and data teams to support AI and analytics workloads.
• Contribute to infrastructure architecture and platform evolution.

Requirements

• 5+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering.
• Strong hands-on AWS experience.
• Solid experience with Terraform and Infrastructure as Code.
• Strong Linux administration skills.
• Experience with Docker and containerized environments.
• Experience building and maintaining CI/CD pipelines.
• Experience with GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar tools.
• Strong scripting skills using Python, Bash, or similar languages.
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or similar.
• Good understanding of networking, security, VPNs, firewalls, and load balancing.
• Experience supporting production systems in cloud environments.
• Strong troubleshooting and problem-solving skills.
• Fluent English communication skills.

Nice to Have

• Kubernetes experience.
• Experience supporting AI, machine learning, or data analytics platforms.
• Experience with Azure or GCP.
• Experience with security and compliance tooling.
• Experience in SaaS or high-scale data platforms.
• Previous exposure to SRE practices and reliability engineering.

Requirements:

• Strong backend development experience with C++ (the bulk of the backend is built on a custom in-house framework)
• Hands-on experience with AWS, particularly S3
• Proficiency with Protobuf
• Experience deploying and operating services on Kubernetes, including performance-driven traffic routing to pods
• Performance engineering skills — hash-based routing, SSD-based caching, and memory-mapped files
• Solid systems / low-level fundamentals (there is no off-the-shelf framework to rely on — much of the stack is custom)
• Ability to work highly autonomously and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling

Nice-to-Have:

• Familiarity with OpenTelemetry / observability tooling
• Understanding of LevelDB SSTable concepts and sorted, time-keyed data structures
• Familiarity with Python (used only for a small metadata/auth service)
• Basic DevOps skills

Key Responsibilities:

• Optimize the performance of the C++ data-streaming backend — efficient delivery of large recorded datasets to the browser
• Work on infrastructure-level optimizations: traffic routing to Kubernetes pods, hash-based routing, SSD-based caching, and memory-mapped files
• Operate within a custom data-handling stack — a C++ framework, a custom HTTP server, and a proprietary data format built on top of LevelDB SSTables and Protobuf
• Take ownership of performance work end-to-end, proactively identifying bottlenecks and driving solutions independently
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — a "video and data player" that renders 3D scenes, lidar, and audio recorded by autonomous vehicles. This role sits on the performance work stream: the backend reads on-vehicle data stored in S3, deserializes it from a custom, time-keyed format, and streams it to the browser. The data-transfer service is implemented in C++, and most of the platform's performance gains are expected to come from the backend.

This is a long-term engagement for a strong systems engineer who enjoys low-level performance work and is comfortable ramping on a heavily custom stack with high ownership and minimal supervision.

24Hit is a product game dev company from Ukraine (Kyiv) that has been developing and publishing mobile games since 2019. 

We launched dozens of popular games and gained over 100 million satisfied players worldwide. 

As a Diia City resident, we offer employee reservation starting from the first day of employment (for men).

We are currently looking for a Recruiter to share our core company values:

• Creativity: We actively encourage and embrace each other’s ideas, transforming them into reality through collaboration and innovative thinking.
• Integrity: We commit to providing honest feedback and realistically assessing situations, fostering a culture of trust and transparency.
• Productivity: We strive to optimize our workflows to achieve the best possible results in the shortest timeframe, ensuring efficiency and effectiveness in our operations.
• Uncompromising Quality: Our commitment to excellence drives us to prioritize the quality of our work above all else, ensuring that we consistently deliver outstanding results.
• Healthy Lifestyle: We advocate for a healthy lifestyle and stand against harmful habits, promoting well-being and balance within our team.

The role requires:

• Full-time job;
• Office-based in Kyiv.

Main responsibilities:

• Actively participating in closing vacancies (Game dev);
• Sourcing candidates across various platforms;
• Reviewing resumes and conducting interviews;
• Building and maintaining communication with candidates;
• Managing the candidate database in a CRM system;

Our ideal candidate:

• Experienced in recruiting;
• Strong verbal and written communication skills in Ukrainian;
• English proficiency at Intermediate level or higher;
• Attention to detail and responsibility;
• Passion for games!

Would Be a Plus:

• Experience in recruiting and sourcing in Game dev industry.

   

Why join our team?

• Professional Team: A high-performing group of skilled individuals committed to excellence.
• No Overtime: We prioritize a healthy work-life balance, with no overtime required.
• Stable Payments: No payment delays since the foundation of the company.
• Bonus System: A unique reward system designed to motivate employees by aligning their performance with the company’s financial goals.
• Professional Development: Access to mentorship programs and our internal library for continuous growth.
• Fully Legal: Official employment in full compliance with Ukrainian labor legislation, including paid vacation (24 days) and sick leaves (unlimited).
• Events: Enjoy board games, masterclasses, corporate events, sports activities, and free English classes.
• Comfortable Workspace: A modern office in Kyiv featuring a spacious lounge, fully-equipped kitchen, sports zone, cinema, and complimentary spa facilities for employees.
• 35-Hour Work Week: Reduced working hours as a benefit for experienced employees.

We are an international iGaming holding building and scaling proprietary products across global markets.

Our ecosystem covers the full cycle of product development — from acquisition and affiliate marketing to CRM, analytics and operational management.
We operate with a performance-driven mindset, focusing on scalable growth and measurable results.

The company is actively expanding across Tier-1 and Tier-2 markets, offering strong professionals the opportunity to work with real budgets and make a direct impact on business performance.

🔥 About the Role

We are looking for a Growth Director who will take ownership of traffic scaling and growth strategy across CIS markets.

This role is ideal for someone who knows how to work with large budgets, test fast, scale efficiently and drive measurable growth.

You will be responsible for building and executing growth strategies, managing acquisition channels and delivering real business results.

🚀 Key Responsibilities

• Build and execute growth and acquisition strategy
• Scale traffic across multiple channels (performance, affiliate, influencer, SEO)
• Manage and optimize marketing budgets ($100k+ monthly)
• Drive product growth and revenue (GGR-focused)
• Identify and test new growth opportunities
• Analyze performance metrics (CPA, ROI, LTV, GGR)
• Collaborate with product, marketing and affiliate teams

🎯 Requirements

• 3+ years of experience in iGaming (performance / acquisition)
• Proven experience managing budgets of $100k+ per month
• Proven track record of scaling products to 1M+ GGR
• Hands-on experience with multiple traffic channels
• Strong analytical mindset and data-driven decision-making
• Experience working with CIS markets (RU, UZ — preferred)

💡 Nice to Have

• Experience working with streamers / influencers
• Understanding of SEO traffic
• Experience launching new products or GEOs
• Experience working with affiliate networks

🔥 What We Offer

✔ Work with large-scale budgets and real growth challenges
✔ Direct impact on product and revenue growth
✔ Fast decision-making environment (no бюрократии)
✔ International team and global markets
✔ Freedom to test, experiment and scale

⚡ Who You Are

• You think in numbers, not assumptions
• You are hands-on and results-driven
• You move fast and test aggressively
• You take ownership and responsibility