Jobs at Djinni

About The Position

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

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 Junior QA Engineer for our team.

Requirements:
●  0,5 years experience as QA engineer;
●  Experience in software testing (web, mobile);
● Have practical experience testing API using Postman;
● Basic knowledge of HTML, CSS, JavaScript, SQL will be a plus;
●  Good knowledge of browser dev tools;
●  Good knowledge of testing types and test design techniques;
●  Experience developing and maintaining test documentation;
●  Understanding of Agile approach (Scrum, Kanban frameworks);
●  English level: Upper-Intermediate.

Will be a plus:
● Create and maintain test documentation.

Responsibilities:
●  Creating and executing of Test-cases, preparing and work with Test Documentation;
●  Testing web and mobile applications;
●  Executing manual tests;
●  Work with issue tracking tools (Jira).

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.

Sharkscode is looking for a highly skilled Senior QA Manual Engineer with deep expertise in web application testing and strong experience working with payment systems. In this role, you will take ownership of testing processes, ensure high product quality, and collaborate closely with cross-functional teams on a new Back Office project.

Key Responsibilities
    •    Perform functional, regression, and non-functional testing for web applications.
    •    Analyze product requirements and participate in clarification sessions.
    •    Estimate testing scope and timelines.
    •    Create and maintain test documentation (test cases, checklists, reports).
    •    Prepare defect reports and Test Summary reports.
    •    Provide clear and regular updates on testing progress.
    •    Conduct API testing and validate integrations with payment systems and external providers.

Requirements
    •    4+ years of manual testing experience (web applications).
    •    Proven hands-on experience testing payment systems.
    •    Strong understanding of QA methodologies, SDLC, and testing techniques.
    •    Experience with functional and non-functional testing.
    •    Confident skills in API testing.
    •    Experience with MySQL and MongoDB.
    •    Proficiency with JIRA or other test management tools.
    •    Ability to produce clear and structured test documentation.
    •    Experience testing high-load REST APIs.
    •    Experience integrating and verifying external providers.

Nice-to-Have
    •    Experience in automation testing.

Inception-1 is a fast-growing product company building AI-driven products that help people feel more connected and less alone. Our mission is to create meaningful digital experiences that blend technology with empathy — and to prove that AI can be both human and transformative.
We partner with leading infrastructure providers and move fast, experimenting, iterating, and scaling what works. Everything we build goes straight to production and real users.

We’re looking for a Creative Marketing Manager / Creative Producer to own creative strategy and drive growth through high-performing creatives across paid acquisition channels. You’ll work closely with UA managers and creative teams to build scalable creative systems for Tier-1 markets.

Responsibilities

• Own creative strategy across paid channels (Meta, TikTok, Snapchat, Google)
• Build and run a creative testing framework (hypotheses → iterations → scaling)
• Manage and coordinate designers, copywriters, and translators
• Analyze creative performance and generate data-driven insights
• Launch and scale creatives for US and Tier-1 markets
• Collaborate with UA managers by funnel stage and channel
• Improve creative win-rate and reduce creative fatigue
• Help build a scalable Creative Factory process

Hard skills we value
 

• 2+ years in performance creative / growth / UA (Mid–Senior)
• Strong understanding of CTR, CPA, CVR, ROAS, retention
• Experience with paid social platforms (Meta, TikTok, Snapchat, Google)
• Creative testing & performance analysis experience
• Data-driven mindset and hypothesis generation
• Hands-on with Google Sheets / Excel
• Understanding of the full funnel (creative → LP / quiz → product → monetization)

Nice-to-have
 

• Experience with Tableau / Looker / Amplitude
• Using AI tools for creative ideation or production
• Web-to-app or web-to-web funnel experience
• US-market creatives experience
• Background in subscription, dating, or social discovery products
• Basic knowledge of A/B testing and CRO

What we offer
 

• Remote work or comfortable offices in Kyiv (Podil)
• Flexible working hours
• Medical insurance (after probation) and online doctor services
• 20 paid vacation days, unlimited sick leave
• Equipment, learning budget, internal lectures
• Sports activities and gym discounts

We are looking for a motivated and enthusiastic Media Buyer Specialist on behalf of our client. If you have strong experience in eCommerce, native ads, push ads, and generic-product campaigns, excellent analytical skills, and a proven track record across multiple verticals — this role is for you.

What You Will Be Working On

• Planning and executing high-performing media buying campaigns for eCommerce and generic product offers

• Running and optimizing native and push ad campaigns

• Identifying the best traffic sources and channels to achieve performance goals

• Working with top converting offers and diverse geos

• Platforms: PropellerAds, AdMaven, PopAds (training provided if needed)

• Models: CPC & CPA

• Geo: Worldwide

Responsibilities

• Tracking and analyzing campaign performance

• Making data-driven decisions to optimize and scale campaigns

• Reporting results and insights to internal stakeholders

• Continuously testing creatives, audiences, and funnels to improve ROI

To Be Successful, You Need

• 2+ years of experience in media buying/data analytics

• Hands-on experience in eCommerce, native ads, push ads, and generic product campaigns

• Familiarity with various verticals and traffic types

• Strong analytical, data-driven, and performance-oriented mindset

• Understanding of media buying across PPC, DSPs, and display networks

• Expert-level proficiency in English

• Familiarity with Voluum or similar tracking platforms is a plus

• Strong multi-tasking and prioritization skills

• Desire to grow and develop within digital marketing

• Positive attitude and willingness to share knowledge

• Basic understanding of broader online marketing concepts (PPC, SEO, email marketing, etc.)

Benefits

• Significant growth opportunities

• Knowledgeable, experienced, and fun team

• International and diverse work atmosphere

• Be part of a rapidly growing global company

• Paid vacation and sick leave

• Competitive base salary + performance bonus system

We look forward to your application!

We are looking for a motivated and proactive Facebook Ads Specialist on behalf of our client. If you have hands-on experience in user acquisition for gaming products, a data-driven mindset, and the ability to independently create ad creatives using AI tools — this opportunity is a great match for you.

What You Will Be Working On

• Planning, launching, and optimizing high-performing Facebook campaigns for gaming products
• Managing full-funnel user-acquisition strategies across multiple markets
• Independently handling budgeting, bidding, scaling, and daily optimization
• Creating and iterating ad creatives using AI tools (images, videos, copy)
• Rapidly testing multiple creative concepts to identify top performers
• Building and refining audience segments using interest, behavior, and lookalike modeling
• Analyzing market trends, competitor angles, and user insights to improve performance

Responsibilities

• Tracking and analyzing campaign performance (ROAS, CTR, CVR, retention, monetization events)
• Making data-driven decisions to optimize and scale campaigns
• Continuously testing new creatives, audiences, and funnels
• Producing clear performance reports and actionable insights for ongoing improvements
• Managing budgets efficiently and identifying scaling opportunities

To Be Successful, You Need

• 1+ years of experience running Facebook Ads (gaming experience is a strong advantage)
• Ability to independently create ad creatives using AI tools (no design team support)
• Strong analytical and data-driven mindset
• Experience managing campaigns end-to-end
• Familiarity with mobile attribution and analytics tools is a plus
• Strong multi-tasking and prioritization skills
• Desire to grow within performance marketing

Benefits

• Significant opportunities for professional growth
• Knowledgeable and supportive team
• International, diverse work environment
• Ability to work with fast-growing global gaming products
• Competitive base salary + performance-based commissions

We look forward to your application!

We’re searching for a Technical Team Lead /Software Project Manager to join a Blockchain company. This is a long-term opportunity.

What We’re Looking For:

• At least 1 year in a role overseeing software projects or leading a small technical team (e.g., Technical Project Lead, Software Team Lead, Engineering Manager, or similar).
• Commercial coding experience, ideally with both server-side and client-side development, with a focus on web applications.
• Familiarity with modern project management approaches, such as iterative development, Kanban, or Scrum, and common management tools like task trackers and collaboration platforms.
• Ability to communicate effectively in English at an intermediate level or higher.
• Good understanding of how software projects progress from concept to delivery, including planning, execution, and quality assurance.
• Excellent organizational, analytical, and interpersonal skills.
• Comfortable translating business needs into technical requirements and guiding solutions to meet those needs.

What You’ll Do:

• Lead and guide the development team to deliver projects on time and within scope.
• Plan, document, and supervise software development projects, ensuring smooth execution throughout all phases.
• Define project requirements, resources, and timelines in collaboration with stakeholders.
• Monitor team performance, provide mentorship, and ensure alignment with project goals.
• Manage risks, handle unexpected changes, and ensure high-quality deliverables.
• Serve as the main point of contact for internal and external communications regarding project progress.

• Translate complex technical concepts into clear explanations for non-technical stakeholders.

   

Perks & Benefits:

• Competitive salary.
• Full coverage of travel and conference expenses.
• Opportunity to influence the development of the company’s partner ecosystem.
• Autonomy, flexibility, and work in a strong Web3-focused team.
• Fast growth and participation in international projects.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

LenGreo is a full-cycle digital marketing & development company. We’re currently building a new social-media-driven platform — a creator–fan ecosystem similar in spirit to modern content-sharing networks, with the ability for fans to support creators financially.

We’re looking for a Senior Full-Stack / Tech Lead who can define the technical vision and lead the build of the platform from the ground up.
 

Why this role matters:

We’re designing a high-traffic, content-heavy platform with real-time and media-rich functionality. The system must be architected from day one for scalability, reliability, security, and fast iteration.

As a Senior Full-Stack / Tech Lead, you will make the core architectural and infrastructure decisions that shape how the product is built, launched, and scaled.
 

What you’ll do:

• Define and own the overall technical architecture and system design of the platform.
• Lead technical strategy and architectural decisions across frontend, backend, database, and infrastructure layers.
• Design scalable, secure, and maintainable architecture suitable for high content volume and growing traffic.
• Collaborate closely with Product, Business Analyst, Designer, and Project Manager to translate requirements into technical solutions.
• Lead technical planning for MVP and future scaling stages.
• Select and validate frameworks, tools, and third-party services.
• Prepare realistic development estimations based on approved requirements and designs.
• Own technical delivery within agreed scope and assumptions.
• Establish development standards, architecture patterns, and code quality practices.
• Guide developers, review implementations, and support team growth.
• Design and oversee CI/CD pipelines and deployment workflows.
• Lead infrastructure and environment setup for a project starting from scratch.
   

Core technology stack:

• Frontend: Next.js
• Backend: NestJS (Node.js, TypeScript)
• Database: PostgreSQL
• Storage: S3-compatible object storage"
   

Required expertise:

• Strong production experience with Next.js frontend applications.
• Strong backend architecture experience with NestJS and Node.js.
• Proven experience designing and launching complex platforms from scratch.
• Experience architecting systems for content-heavy and high-traffic applications.
• Strong experience with PostgreSQL schema and performance design.
• Experience integrating S3 or S3-compatible storage for media-heavy platforms.
• Experience designing API architecture and service boundaries.
• Experience setting up CI/CD pipelines, automated builds, and deployment processes.
• Experience with cloud infrastructure and environment setup.
• Proven experience making architecture decisions balancing MVP speed and long-term scalability.
• Experience integrating multiple third-party services and providers.
• Solid experience with technical estimations and delivery ownership.
• Strong product and systems thinking.
   

Nice to have:

• Experience with high-load distributed systems.
• Experience with media processing and delivery pipelines.
• Experience with CDNs and caching strategies.
• Experience with real-time systems (chat, notifications, streaming).
• Experience with multi-provider payment integrations.
• Experience with user-generated content platforms.
   

Engagement format

• Full-time, remote
• Long-term collaboration anticipated.|
   

We look forward to hearing from you!

Company Description

Bitspire Team is where digital vision meets technical mastery. We build the software that drives tomorrow's industry leaders.

Role Description
This is a full-time hybrid role for a Product Owner based in Warsaw. In this role, you will be responsible for managing the product lifecycle, gathering and analyzing business requirements, and working closely with cross-functional teams to ensure product development aligns with business goals. Additional responsibilities include collaborating with stakeholders to prioritize features, providing clear communication to the development team, and assisting in the creation and refinement of product strategies. While the position is based in Warsaw, there is flexibility for some work-from-home arrangements.

Qualifications

• Strong Analytical Skills and Business Analysis expertise to interpret complex data and drive informed decisions
• Experience in Product Management, including overseeing product lifecycles and collaborating with cross-functional teams
• Exceptional Communication skills for effectively interacting with stakeholders, team members, and clients
• Basic understanding of Software Development and its principles to ensure alignment with technical teams
• Ability to work both independently and in collaboration with teams
• Experience in Agile methodologies is a plus
  Familiarity with tools like JIRA, Confluence, or similar project management tools is advantageous
• Bachelor's degree in a relevant field or equivalent professional experience