Jobs at Djinni

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.

Since 2008, MacPaw has been creating complex technology and packaging it into Mac apps everyone can use. And as cyber threats started looming over the Apple ecosystem, they became a special focus of our work, leading to the creation of Moonlock - MacPaw’s dedicated cybersecurity division.

Right now, we’re looking for an Engineering Manager to lead our Moonlock Lab team that helps take Moonlock to the next level. The team develops security threat protection instruments that protect 20+ millions of MacPaw users worldwide. 

What we do:

• conduct in-depth research on malware, other emerging threats and technologies, and the brand new macOS security mechanisms; 
• examine recent virus samples, look for ways to detect malware by its behavior, and outsmart the developers of malicious programs;
• promote MacPaw`s cybersecurity brand through publications and lectures.

Engineering Managers at MacPaw lead the engineering teams by planning and managing the development processes to deliver quality product solutions. They also constantly work on strengthening the team`s technological expertise through individual and teamwork.

So in this role, you’ll lead a driven team and ensure collaboration across research, reverse engineering, threat intelligence, development, and Moonlock Lab’s public efforts.

If you love what you saw above and are ready to bring your ideas to life, don`t hesitate to send us your CV!

In this role, you will:

• Plan and agree on engineering and technical research activities that support the development of internal malware analysis tools and the quality of malware detection, and approve them with the Product Manager
• Manage teamwork by planning and prioritizing the backlog, clarifying tasks, monitoring progress, and eliminating blockers to establish effective coordination and delivery efforts
• Identify and cope with cross-team/functional dependencies and risks with other teams to eliminate blockers in the value delivery process
• Maintain proper team performance by conducting ongoing operational analytics and ensuring the delivery of regular reporting to the PM
• Drive continual improvements in Malware Lab analysis performance, efficiency, and workflows by implementing new practices, approaches, and tools, improving existing ones to ensure the effectiveness of Malware Lab
• Support the product certification process
• Provide team guidance and conduct regular team management processes: hiring, training, development and salary review, and others aligned with company practices and policies
• Contribute to company-wide initiatives and technical transformation projects

Skills you’ll need to bring:

• Demonstrated experience in an Engineering Manager (or similar) role
• A solid technical background
• R&D experience
• A fast-learning mindset and a love of diving into new tools and techniques
• Strong organizational and prioritization skills
• The ability to balance routine work with continuous improvements
• Intermediate level of English or higher

• As a plus:
  Hands-on experience with malware detection, threat intelligence, or security tooling
• Experience in macOS development 

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible: https://macpaw.foundation/.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office.
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact

We are looking for a Trainee AI Developer who is passionate about AI, has a strong technical background, and wants to grow fast through real projects and mentorship. You’ll work side-by-side with experienced engineers, get mentorship, and see your code go into real products.

 

What You’ll Do:

• Support AI integrations — connect, configure, and test LLMs (OpenAI, Anthropic, Mistral, etc).
• Assist in developing AI-based products — chatbots, voice agents, and automation tools.
• Research and test new AI models and APIs.
• Work closely with experienced developers — learn how to integrate AI features into production systems.
• Take part in internal experiments and prototypes to strengthen your practical skills.

What We’re Looking For:

• 4th+ year student or recent graduate in AI, Computer Science, or a related field.
• Solid knowledge of Python — you’ve built pet projects or coursework with it.
• Basic experience with LLMs  and eagerness to experiment with them.
• Familiarity with SQL and data structures.
• Passion for AI and curiosity about real-world applications.
• English — Upper-Intermediate or higher.

Nice to Have:

• Experience with small AI or ML projects (personal, academic, or internship).
• Familiarity with APIs and basic web development.
• Knowledge of Git and workflow in small dev teams.

What We Offer:

• Structured onboarding & mentorship — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.
   

🔁 Hiring Process: Recruiter Interview → Tech Interview → Test Task → Final Interview.

If you’re eager to kickstart your career in AI, learn from real projects, and grow in a supportive team — we’d love to meet you 👋

Senior Kotlin Developer

Proficiency in Kotlin with 3+ years of hands-on experience in backend development;
● Experience with Quarkus, Micronaut, Event scheduling;
● Solid understanding of OOP, functional programming, and clean architecture principles;
● Experience with Spring Boot or other Kotlin-compatible frameworks;
● Familiarity with RESTful APIs, JSON, and web service integration;
● Good knowledge of databases: both relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB);
● Experience with asynchronous programming and coroutines in Kotlin;
● Basic understanding of CI/CD pipelines, Git, and version control best practices;
● Unit testing and integration testing experience using tools like JUnit, MockK, or similar;
● Experience with Quarkus, Micronaut, Event scheduling;
● Upper-Intermediate English or higher.

Responsibilities:

● Develop and maintain scalable, reliable, and maintainable Kotlin-based applications;
● Collaborate with product managers, designers, and other developers to deliver high-quality features;
● Write clean, testable, and efficient code following best practices and coding standards;
● Participate in code reviews, architecture discussions, and contribute to technical decision-making;
● Debug and resolve issues in production and development environments;
● Integrate third-party APIs and services;
● Contribute to the improvement of development processes, tooling, and team productivity;
● Stay up to date with Kotlin ecosystem trends and propose relevant improvements or innovations.

Nice to have:
● Experience with Docker, Kubernetes, or cloud platforms (AWS);
● Familiarity with GraphQL;
● Knowledge of Android development is a plus;
● Understanding of microservice architecture;

Lasker.ai is developing an intelligent AI assistant for Amazon sellers — helping them manage products, reduce account risks, and make smarter business decisions.

Powered by official data and advanced AI analysis, our assistant delivers clear guidance, personalized recommendations, and visual insights to improve listings, pricing, and overall performance on Amazon.

We’re now looking for an experienced AI Automation Engineer to design, prototype, and scale next-generation agentic AI workflows.

💡 What you’ll do

• Build and automate AI-powered workflows (RAG, text-to-SQL, and beyond)
• Engineer and optimize prompts for real-world performance
• Prototype quickly, iterate, and bring ideas into production
• Translate business goals into scalable, maintainable technical workflows
• Integrate APIs, connect data pipelines, and ensure seamless automation

🧠 What we’re looking for

• 5+ years in backend or data engineering
• 1–2 years of LLM product development (since 2023)
• Proven portfolio of automation projects
• Strong prototyping and problem-solving mindset
• Solid grasp of business logic and system architecture
• Proficiency in Python
• Good understanding of SQL/NoSQL databases
• Experience with Git and cloud platforms (AWS, GCP, or Azure)

⚙️ Tech stack

• LLMs & Prompt Engineering: GPT-4, Claude, API integration, prompt optimization
• Workflow Automation: LangChain, n8n, or similar
• Low/No-Code Platforms: rapid functional web app development
• AIOps / MLOps: monitoring, observability, and deployment of AI systems
• APIs & Integrations: REST, webhooks, authentication

✨ Join us at Lasker.ai — and help build automation that thinks.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.

We’re looking for a Sales Assistant to support our CEO and Sales team in bringing new projects to Softcery. You’ll help drive our outbound efforts, manage communication with potential clients, and assist in preparing proposals — all while learning the full B2B software sales cycle.

We are looking for our future team member in Lviv, as we have meetings at a coworking space. We also regularly organize online and offline meetings with the entire team to keep in touch, even during remote work.

What You’ll Do:

• Research potential clients and identify relevant leads via LinkedIn, email, and Upwork.
• Support outreach campaigns together with the CEO and SDR team.
• Manage CRM data, track lead progress, and prepare short client briefs.
• Participate in discovery calls and take structured notes.
• Help prepare proposals, presentations, and follow-ups.
• Assist with inbound requests and initial qualification of leads.
• Contribute ideas for improving our sales process and messaging.

What We’re Looking For:

• 6+ months of experience in B2B lead generation or sales support (preferably in software or IT services).
• Understanding of how software development companies work — bonus if you’ve collaborated with tech teams before.
• Proactive attitude, curiosity about B2B sales and technology.
• Strong attention to detail and organization — you’ll be keeping our sales machine running smoothly.
• A desire to learn, grow, and take on more responsibility over time.
• Upper-Intermediate level of  English (B2+).

What We Offer:

• Competitive pay & performance-based bonuses — we reward impact, not just hours worked.
• Structured onboarding & dedicated support — you’ll get a clear onboarding plan, documented workflows, and a team that’s got your back.
• Flexible remote schedule — work from wherever and whenever you’re most productive.
• Learning budget — we cover books, courses, English lessons, and AI tools for your professional growth. 
• Full accounting support — so you can focus on the work, not the paperwork.
• Time off — 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership — access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Recruiter Interview → Qualification Interview → Final Interview → Reference Check.

Send us your CV and a short note. Tell us about your sales experience and how you’ve worked with software teams before. We’re excited to meet you 👋

About the Company

We are a product-based tech company building large-scale web solutions for global clients in the fintech, analytics, and SaaS domains. We’re looking for an experienced Tech Lead (React & Python) to lead a cross-functional team, define system architecture, and drive engineering best practices across projects.

Key Responsibilities

• Lead a team of 5–10 engineers, providing mentorship and technical guidance.
• Develop and maintain both frontend (React, TypeScript) and backend (Python, FastAPI / Django) components.
• Design and evolve system architecture with a focus on scalability and performance.
• Conduct code reviews and ensure high standards of code quality.
• Collaborate closely with Product Managers, Designers, DevOps, and QA teams.
• Participate in sprint planning and contribute to roadmap and delivery decisions.

Requirements

• 6+ years of professional experience in software development.
• Strong hands-on experience with React (Hooks, Context API, performance optimization).
• Solid experience with Python frameworks (FastAPI, Django, Flask).
• Deep understanding of RESTful APIs and microservice architecture.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Proficiency with CI/CD pipelines and containerization (Docker, Kubernetes).
• Strong leadership, communication, and decision-making skills.
• Upper-intermediate or higher English level.

Nice to Have

• Experience with GraphQL or WebSockets.
• Background in building scalable SaaS or data-heavy platforms.
• Familiarity with frontend testing frameworks (Jest, Cypress).
• Experience with modern DevOps practices and monitoring tools.

We Offer

• Competitive compensation and performance-based bonuses.
• Flexible working schedule and remote-friendly culture.
• Health insurance and paid vacation.
• Education budget for conferences, courses, and certifications.
• A strong engineering culture with mentorship and growth opportunities.

We’re looking for an AI Engineer to join our team on a full-time or part-time (3–4 months) basis. In this role, you’ll design, train, optimize, and deploy neural network models that power our next-generation products. You’ll own the full model lifecycle — from data pipeline design to production monitoring — working closely with product managers, developers, and DevOps to bring research ideas to life.

About the Project: The project involves developing a solution to demonstrate the functional capability to consolidate and process data collected from a smart insole equipped with pressure and motion sensors. The solution should confirm that the acquired data can be structured, analyzed, visualized, and presented to the end user.

Key Responsibilities

• Research, prototype, and benchmark deep-learning architectures (CNNs, RNNs, Transformers, diffusion models, etc.).
• Build scalable data ingestion, preprocessing, and augmentation pipelines.
• Manage large-scale experiments and hyperparameter tuning using tools like Weights & Biases or MLflow.
• Train, fine-tune, and optimize models (supervised, unsupervised, generative, or multimodal).
• Develop and refine prompts for LLMs (GPT, Claude, Hugging Face models).
• Deploy models to production environments (Docker, Kubernetes, cloud platforms).

• Monitor and maintain model performance, detect drift, and ensure stability.

   

Requirements

• 5+ years of experience in machine learning or deep learning.
• Strong Python skills and hands-on experience with PyTorch, TensorFlow, or JAX.
• Solid understanding of optimization algorithms and deep learning principles.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
• Familiarity with LLMs, prompt engineering, and generative AI.
• English — Upper-Intermediate level or higher.

Nice to Have

• Experience with distributed training, model compression, or inference optimization.
• Knowledge of ONNX, Triton, or Evidently AI.
• Experience with diffusion models, GANs, or graph neural networks.

Description

Your goal will be to transfer business needs to highly detailed technical requirements.

You will work closely with the product managers and architects to understand all requirements and the technical side of the existing system. In most cases, you will work with technical managers who will provide you with information about the current solutions and new requirements.

The project is in the Energy domain.
 

Requirements

• Excellent written and oral communication skills
• Deep understanding of SDLC
• 5+ years of experience as a business analyst
• Strong negotiation, facilitation, and consensus-building skills
• Skills in analyzing and documenting requirements
• Ability to work independently, organize proper stakeholder management, and own BA processes workflow
• Has practical knowledge of requirements decomposition (Epics definition, User stories, Tasks).
• Experience with API is a plus
• Experience with C#/.NET, and PostgreSQL is a plus
• Knowledge and experience in the energy industry is a plus. 
   

Job responsibilities

• Communicating regularly with the client
• Transforming business requests to consistent requirements specifications for the team
• Requirements gathering and prioritization with the team
• Refinements facilitation to ensure on-time service execution and delivery of high-quality software.
• Preparing documentation, including user stories, and functional/non-functional requirements.
• Managing the product backlog, including requirements management, prioritization, traceability, verification, and validation

We are elai.io, an innovative AI-driven startup specializing in video generation. Recently acquired by Panopto — a leader in interactive video solutions — we’re now part of a growing team of around 200 professionals focused on advancing learning through powerful, interactive video technology.

We’re looking for  AI Engineers to join our team and help maintain the stability and quality of our AI-driven video generation platform.

In this role, you’ll be responsible for investigating and resolving issues within the avatar generation process, improving model reliability, and ensuring consistent performance across different use cases.

Must-have skills

• Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 
• Experience: 1+ years of relevant project or internship experience with model training, evaluation, and deployment. 
• Technical Skills: Proficiency in Python, data science, CV, and ML libraries (scikit-learn, NumPy, OpenCV, etc.), and a major ML framework (PyTorch or TensorFlow). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). 
• Attributes: Solid grasp of fundamental ML concepts and a strong desire to learn and collaborate.

Key responsibilities

• Data & Models: Prepare data for training; implement and run ML models based on existing designs.
• Experimentation: Execute and document ML experiments, reporting key results to the team.
• Code Contribution: Write, test, and maintain clean code for ML pipelines and components.
• Collaboration: Work with senior staff to understand requirements and learn best practices.

We offer

• Competitive salary based on qualifications and contributions
• Paid vacation and sick leaves
• Flexible working hours
• Opportunity to work with a highly qualified international, friendly team
• Fully remote work

Format: Full-time or part-time (6–8 hours/day, with possible transition to full-time)
 

About the Role

We’re looking for a Strong Middle Markup/Frontend Developer confident in both high-quality layout and interactive UI development.
You’ll work under the guidance of a senior tech lead on international Web3 products (DeFi, casino, fintech). 
We value clean code, attention to detail, independence, and strong architectural thinking.

Tech Stack

• Core: React.js, Next.js
• Languages: HTML5, CSS3, SCSS, JavaScript (ES6+)
• Animations: GSAP, Framer Motion, CSS animations, Lottie/SVG animations (bonus)
• Bonus: Web3.js/Ethers.js, basic understanding of Solidity
• UI Libraries: MUI, Chakra UI, Ant Design
• State Management: Redux Toolkit, Zustand, or Recoil
• Tools: Git, GitHub, Vite/Webpack
• Testing (optional): Jest, React Testing Library, Cypress

Responsibilities

• Build and maintain responsive, high-performance Web3 interfaces
• Implement animations and interactive visual effects
• Collaborate with designers, backend developers, and PMs
• Integrate REST/WebSocket/Web3 APIs
• Ensure clean architecture, fast rendering, and consistent UX/UI

Requirements

• 3+ years of experience in frontend and markup development
• Strong proficiency with React.js and Next.js
• Solid knowledge of HTML5, CSS3, SCSS, and responsive layout
• Experience with animations (GSAP/Framer Motion/CSS animations)
• Understanding of API integration and performance optimization
• Self-organized, reliable, and able to work independently

We Offer

• Participation in international Web3 projects
• Flexible schedule and part-time option
• Fully remote work
• Minimal bureaucracy, direct communication with tech leads
• Opportunity to grow to Senior level and influence architecture

About the Project

A company specializing in digital identity and document verification is launching a two-month Proof of Concept to test whether an in-house AI-powered OCR and document classification system can surpass existing third-party tools. The initiative focuses on building a functional prototype using Microsoft Azure’s AI stack and Python-based frameworks. The outcome will define the technical and business feasibility of evolving the prototype into a full-scale production solution.

Role Overview

We’re looking for an experienced AI/Python Developer to help design and implement the AI and data processing components of this PoC. Working closely with a Data Scientist and an MLOps Engineer, you’ll transform models into deployable applications and enable automated workflows for document recognition and structured data extraction within Azure.

Key Responsibilities

• Build and integrate AI components and data pipelines into a working prototype.
• Deploy trained ML models through Python APIs (FastAPI/Flask).
• Connect components with Azure services such as Functions, AI SDKs, and Storage/CosmosDB.
• Ensure accuracy and reliability of extracted and classified data (JSON output validation).
• Apply solid engineering practices: testing, modular code, Git versioning.

Required Skills and Experience

• Advanced proficiency in Python focused on AI and automation.
• Strong experience with FastAPI or Flask for backend service development.
• Proven ability to embed trained ML models into production-ready applications.
• Familiarity with Azure’s AI ecosystem, including SDKs, Functions, and cloud data storage.
• Hands-on experience with OCR tools (e.g., Tesseract, Azure Document Intelligence).
• Strong coding discipline and attention to maintainable, testable architecture.
• Confidence working with structured data formats and visual validation.

Engagement Details

• Duration: ~2 months (PoC stage)
• Format: Fully remote
• Commitment: Full-time during PoC execution
• Collaboration: Close cooperation with Data Scientist and MLOps Engineer

Project Overview:
We are building an Exchange platform for a newly deployed EVM-compatible token. The project was partially developed by a previous team, and the client needs skilled developers to continue and complete the implementation.
 

Skills Required:
- Proficient in React.js / Next.js (TypeScript preferred)
- Experience with Web3.js / Ethers.js for blockchain interactions
- Knowledge of wagmi.sh, viem, or similar Web3 libraries
- Familiarity with DEX UI/UX best practices (e.g., Uniswap, PancakeSwap)
- Experience with CSS frameworks (TailwindCSS, Chakra UI)
- Understanding of wallet integrations (MetaMask, WalletConnect, etc.)
 

Responsibilities:
- Develop and optimize the DEX frontend
- Ensure smooth wallet integration and transaction flows
- Work closely with the smart contract dev for ABIs and contract interactions
- Implement responsive and secure UI components

Project Overview:
We are building an Exchange platform for a newly deployed EVM-compatible token. The project was partially developed by a previous team, and the client needs skilled developers to continue and complete the implementation.
 

Skills Required:
- Strong experience with Node.js, Express, or NestJS
- Database expertise (PostgreSQL, MongoDB, or Redis)
- Knowledge of blockchain indexing (The Graph, Moralis, or custom solutions)
- Experience with REST & WebSocket APIs
- Familiarity with JWT, OAuth, and API security
- Understanding of rate limiting, caching, and performance optimization
 

Responsibilities:
- Build and maintain backend services for the DEX
- Handle order book management, transaction history, and user data
- Integrate with blockchain nodes (Alchemy, Infura, QuickNode)
- Ensure high availability and security of backend services

Project Overview:
We are building an Exchange platform for a newly deployed EVM-compatible token. The project was partially developed by a previous team, and the client needs skilled developers to continue and complete the implementation.
 

Skills Required:
- Expertise in Solidity and EVM-compatible chains
- Experience with DEX smart contracts (AMM, liquidity pools, staking)
- Knowledge of security best practices (reentrancy, slippage, oracle attacks)
- Familiarity with OpenZeppelin, Hardhat, Foundry
- Understanding of gas optimization techniques
- Experience with audits and formal verification is a plus
 

Responsibilities:
- Develop, test, and deploy secure smart contracts
- Optimize gas efficiency and security
- Work with auditors to ensure contract safety
- Assist frontend/backend teams with contract interactions

Project Overview:
We are building an Exchange platform for a newly deployed EVM-compatible token. The project was partially developed by a previous team, and the client needs skilled developers to continue and complete the implementation.
 

Skills Required:
- Experience with manual & automated testing
- Knowledge of Jest, Mocha, Cypress, or Selenium
- Familiarity with blockchain testing tools (Tenderly, Hardhat tests)
- Understanding of security vulnerabilities in Web3 apps
- Experience with CI/CD pipelines (GitHub Actions, Jenkins)
 Responsibilities:
- Write and execute test cases for frontend, backend, and smart contracts
- Perform security and stress testing
- Ensure smooth deployments and regression testing
- Document bugs and work with devs to resolve issues