Jobs at Djinni

About Us: InnovatelU is a dynamic tech company delivering cutting-edge solutions. We're looking for a passionate Java Developer to join our team. If you have a solid Java foundation, are eager to grow, and learn quickly, we want to hear from you! 

Requirements: 
- Strong knowledge of Java 
- Knowledge of Spring (Spring Core, Spring AOP, Spring MVC, Spring Security, Spring Boot) 
- Familiarity with REST APIs, web services 
- Proficiency in version control tools (Git) 
- Experience with build tools like Maven and Gradle 
- Experience with relational databases (PostgreSQL) 
- Expertise in containerization (Docker) 

- Experience in unit and integration testing 
- Strong communication skills and teamwork ability 
- English level: Intermediate or higher 

Will Be a Plus: 

- Solid understanding of design patterns 

- Experience with NoSQL databases like MongoDB and Redis 

- Familiarity with messaging systems like Kafka and RabbitMQ 

- Experience with microservices architecture 

Responsibilities: 

- Collaborate with senior developers and project managers 

- Assist in designing, coding, and testing applications 

- Write well-designed, efficient, and testable code 

- Participate in code reviews 

- Debug and resolve technical issues 

- Contribute to application documentation 

Interview Stages: 

1. Test Task: 1 hour 

2. HR Interview: 30 minutes 

3. Technical Interview: 1 hour 

We Offer: 

- Full Remote 

- Constant support and mentoring 

- Paid 5 working days of sickness per a year; 

- Paid all official Ukrainian holidays; 

- 18 working days of vacation per a year; 

- Opportunity for professional growth and career development 

If this sounds interesting to you, let's talk!

Our client is looking for a Telegram Ads Media Buyer for paid advertising campaigns.

Role Overview:Our client is looking for an experienced min 2 years Telegram Ads Media Buyer to run and scale paid advertising campaigns within the Telegram Ads ecosystem, targeting the Turkey market (iGaming vertical). The role focuses on placing sponsored messages in relevant Telegram channels and driving high-quality traffic to company offers.

Key Responsibilities:

• Launch and manage campaigns via Telegram Ads platform (sponsored ads, video, text, etc.);
• Target and select relevant Turkish Telegram channels (casino/betting audience);
• Create and test ad creatives adapted to Telegram format;
• Manage multiple ad accounts and budgets;
• Optimise campaigns based on CPC, CTR, CPA, ROI;
• Monitor placements and improve traffic quality;
• Work with tracking tools and analytics;
• Scale profitable campaigns and cut underperforming ones.

Required Skills & Experience:

• Proven experience with Telegram Ads (official platform);
• Experience running campaigns in restricted / sensitive verticals (iGaming);
• Strong understanding of the Turkey Telegram audience & channel ecosystem; Ability to:
• Create high-converting Telegram ad creatives;
• Identify high-quality channels for placement; Experience with:
• Ad account management (including sourcing and buying accounts );
• Budget control & scaling strategies;
• Data-driven mindset (comfortable with performance metrics).

Will be a plus:

• Experience in iGaming / betting offers;
• Understanding of funnel tracking (post-click performance);
• Experience working with large budgets;
• RU/EN for sure.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• Final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

About the Company

We are a growing gaming company focused on online entertainment products for international markets. The team develops and operates live gaming products with active users and an experienced operational and product background.

The company offers an opportunity to join at an early stage and contribute to building and scaling real products and internal processes in a fast-paced environment.

About the Role

We are looking for a sharp, reliable, and highly responsible Player Support Representative to join our Support function during an early growth stage.

This role is an excellent entry point into a fast-growing startup environment. It is well-suited for a student who is detail-oriented, business-minded, and comfortable taking ownership and making decisions in a live production setting.

You will work closely with the Support and Operations team and play a meaningful role in maintaining service quality, operational stability, and player trust. This is not a scripted support role. We trust people early and expect maturity, sound judgment, and accountability.

Responsibilities

• Provide accurate, professional, and high-quality player support via live chat
• Act as a first line of judgment in live player interactions within defined guidelines
• Identify recurring issues, bugs, unusual patterns, or edge cases, and proactively raise clear and well-contextualized flags
• Review player activity to ensure compliance with platform rules, promotions, and policies
• Stay alert to irregular activity, operational issues, or potential risks, and escalate responsibly with attention to detail
• Learn the product, flows, and rules quickly and apply them consistently in real-time scenarios

Requirements

• Fluent English, written and spoken
• Availability for shift-based work, including evenings, nights, and weekends (remote)
• Very high attention to detail and accuracy
• Fast learner with the ability to understand complex rules, flows, and edge cases
• Strong sense of responsibility, ownership, and accountability
• Business-oriented mindset with the ability to assess situations, understand impact, and make sound decisions
• Comfortable working independently within defined guidelines
• Reliable, consistent, and able to handle ongoing responsibility over time
• No prior customer support experience is required. Mindset, sharp thinking, and reliability matter most.

Nice to Have

• Interest in online gaming
• Desire to grow and develop within the company over time

Why This Role Is Special

This role offers an opportunity to gain hands-on experience inside a live product environment. You will be exposed to real users, operational challenges, and real-time decision-making while working closely with experienced operators and team members.

It is a strong foundation for future growth into operations, risk, product, or other roles within the company.

We are looking for a Data Scientist – Autonomous Systems Engineer to work on autonomous systems with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and experience applying data science to real-world autonomy or robotics problems.

Key Responsibilities

• Develop vision-based algorithms for perception and navigation.
• Work on data analysis and sensor fusion for multi-sensor systems.
• Build models and simulations to support system development and testing.
• Process and analyze datasets from cameras, IMUs, and other sensors to improve autonomy performance.
• Collaborate with robotics and software engineers on perception and navigation pipelines.
• Stay up to date with recent research in computer vision, autonomy, and data science.

Required Qualifications

• 2+ years of experience in data science, robotics, computer vision, or a related field.
• Knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
• Understanding of geometric computer vision principles.
• Strong programming skills in Python and good working knowledge of C++.
• Experience working with Linux-based systems.
• Degree in Computer Science, Robotics, Engineering, Mathematics, or another STEM field (or equivalent practical experience).

Nice to Have

• Experience with SLAM or Visual-Inertial Odometry (VIO).
• Familiarity with OpenCV, NumPy, and ML frameworks such as PyTorch or TensorFlow.
• Experience with ROS2, Gazebo, or AirSim.
• Experience with PX4, Betaflight, or ArduPilot.
• Understanding of neural networks for computer vision.
• Interest in reinforcement learning or predictive modeling.

We are hiring a UI/UX Designer with strong Design System expertise to help standardize and optimize the visual language across multiple digital platforms. This is a hands-on execution role focused on organizing, refining, and scaling a unified Design System for Web, iOS, and Android products. This is not a pure product design role. The main focus is creating and maintaining a scalable cross-platform UI system that improves consistency, speed, and collaboration between design and development teams.

Details
Location: Remote
Employment Type: Contract / Part-Time Project-Based
English Level: Fluent
Start Date: ASAP

About the Role

You will work closely with the internal product designer and development team to improve and systemize the current UI architecture. The goal is to establish a structured and reusable Design System that supports Web, iOS, and Android platforms simultaneously.

The project is already in progress, so this is not a “from scratch” role. Instead, you will help organize, standardize, and expand existing UI patterns and components into a scalable system.

What You’ll Own

Design System Development

Build and maintain a unified Design System across Web, iOS, and Android

Create reusable UI components, patterns, and documentation

Standardize typography, spacing, colors, grids, buttons, forms, tables, and atomic elements

Ensure visual consistency across all platforms

UI/UX Collaboration

Work closely with the existing product designer in tandem

Collaborate with frontend developers to ensure proper implementation

Align UI behavior and component logic across platforms

Improve handoff processes between design and engineering

System Optimization

Audit and organize existing UI components and flows

Reduce design inconsistencies and duplicated elements

Improve scalability and maintainability of the design architecture

Help speed up future product development through reusable structures

Documentation & Structure

Create clear documentation for components and usage

Organize design libraries and naming conventions

Maintain scalable Figma structures and component hierarchies

Must-Have Requirements

Strong experience building and maintaining Design Systems

Experience designing products for:

Web

iOS

Android

Strong understanding of:

Atomic Design principles

UI consistency

Component architecture

Responsive/adaptive design

Advanced Figma skills (components, variants, auto-layout, libraries)

Experience collaborating directly with developers

Ability to estimate workload and structure UI tasks independently

Strong attention to detail and system thinking

Nice to Have

Experience working in SaaS or startup environments

Understanding of frontend frameworks/components

Experience with design tokens and scalable UI architecture

Previous experience optimizing existing Design Systems rather than creating from zero

Experience working in fast-moving product teams

We are looking for a Media Buyer/Team Lead in the Search Feeds Vertical to help manage media buying activity across networks such as TikTok and Facebook.

Responsibilities:

· Manage activity in TikTok, Facebook

· Monitor campaign statistics, optimize the effectiveness of campaigns, and investigate traffic drops;

· Monitor costs and return on investment (ROI).

· Track the market for trends, opportunities, etc., and use that information to make recommendations

· Cooperate with other departments (creative, tech, analytics)

Requirements:

· 1+ year of proven media buying experience in social networks

· Excellent analytical skills

· Target-oriented, driven, and ambitious person

· Excellent interpersonal skills

We offer:

· Friendly working atmosphere

· Interesting projects and challenging tasks

· Opportunities for self-realization, professional and career growth

· 5-day work-week in a friendly work environment

· Flexible working hours

We’re looking for a Technical Support Engineer to join our remote team and ensure smooth operation of our applications during weekday night shifts.

Schedule: Monday–Friday, 00:00–08:00 (GMT+3) 

Location: Remote

What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

What we’re looking for: 

• Сonversational English level: at least Upper-Intermediate, and if it's higher, that's even better.
• 6+ months experience with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (e.g., Python, Django, Databases, AWS)
  • Strong technical fundamentals (data types, HTTP, REST, git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, or internships) — GitHub links welcome
• Good knowledge of PostgreSQL (or another relational DB)
• Familiarity with AWS (EC2, S3) — basics are fine
• Solid analytical & debugging skills
• Basic understanding of REST APIs and front-end (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and as part of a team

Nice to have

• Experience with Docker/Kubernetes and CI/CD pipelines
• Knowledge of web app security principles

• Background in Agile/Scrum environments

   

If you like staying ahead of problems and owning the night shift, we’d love to hear from you.

We are looking for a part-time Lead Generation Assistant to help us find and organize potential clients and partners in the AI video analytics / physical security industry.

Target regions include Russia, Kazakhstan, Turkey, CIS countries, Eastern Europe, and the Middle East.

Main tasks:

* research potential companies, partners, and system integrators;
* find relevant decision makers;
* collect company websites, names, job titles, emails, and LinkedIn profiles;
* organize leads in Google Sheets or CRM;
* research tenders, RFPs, security events, and industry directories;
* prepare clean contact lists for mass mailing campaigns;
* check and verify email lists;
* keep all data structured and updated.

This role does not include calls, negotiations, or direct email communication with prospects.

Requirements:

* English;
* Russian is a strong plus;
* experience with lead generation or online research;
* attention to detail;
* ability to follow instructions;
* good Google Sheets / Excel skills;
* experience with LinkedIn, Apollo, CRM, or email verification tools is a plus.
* Claude / DeepSeek / GPT experience

About the Role

We are looking for a seasoned QA Automation Engineer to join the team. In this role, you will take ownership of the test automation strategy, drive quality standards, and help to build scalable testing infrastructure in a fast-paced environment.

Must-have qualifications:

• 5+ years in software quality assurance with a strong automation focus
• Expert-level JavaScript skills; Python or Java knowledge is a solid advantage
• Proven hands-on experience with WebdriverIO (WDIO); familiarity with Cypress, Appium, or Playwright is a plus
• Solid experience with API testing tools such as Postman or REST Assured
• Practical knowledge of integrating automated tests into CI/CD pipelines
• Strong command of Git and version control workflows
• Experience using AI-powered testing and development tools to speed up test creation and defect detection
• Good understanding of testing methodologies: functional, regression, integration, performance, API, and end-to-end
• Upper-Intermediate English 
   

Nice to have qualifications:

• Experience with performance/load testing tools: Locust, JMeter, k6, Gatling
• Familiarity with Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP)
• Experience testing AI/ML-based applications, including model output validation
• ISTQB or equivalent QA certification
• Basic knowledge of security testing (OWASP Top 10, auth testing, secure API practices)
• Hands-on use of tools like Burp Suite, OWASP ZAP, Charles Proxy, or Fiddler
   

We offer:

• Remote Work Environment. Work from anywhere and be part of a geographically diverse team
• Stay Ahead of the Curve. Work with cutting-edge technologies
• Possibility of payment by PE account, Payoneer, or Wise
• Bonus & Referral system
• Flexible working hours 
• Paid professional certifications & educational courses
• Paid English classes
• Friendly atmosphere with quarterly team building
• No bureaucracy

Dataforest is looking for a DevOps Engineer eager to grow professionally and work on international projects. You will support and improve infrastructure, set up CI/CD processes, and collaborate closely with the client team.

     Requirements:

• 3+ years of experience as DevOps;
• Experience with SQL, DB configuration;
• Deep understanding of Linux/Unix;
• Experience with Source Control (Git, Bitbucket);
• Experience with AWS Cloud;
• Experience with CI/CD (Github);
• Understanding of Container Concepts (Kubernetes, Docker);
• Experience with Nginx;
• Strong logical thinking and problem-solving skills;
• Proactive approach and ability to take initiative;
• Previous experience at an outsourced company - must;

• English — Intermediate or higher.

   

  Nice to have:

• Experience with Airflow;

• Experience with ETL pipelines.

   

  Key responsibilities:

• Cover the DevOps needs of a dev team;
• Support existing environments in both on-prem and cloud;
• Detect existing product infrastructure issues and vulnerabilities;
• Build ETL procedures;

• Implement best practices and standards for development.

   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious, and well-equipped office in the city center;
• Team building activities, corporate events.

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     We offer

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

For our partner, we are looking for Product manager with project management experience to boost a new brand🎯

Role Overview

We are looking for a hands-on Product / Project Manager who will work closely with founders and be involved in the full product lifecycle — from integrations and features to operations and optimization.

This role combines elements of product management, project coordination, and operational execution.

Key Responsibilities

• New brand Product roadmap ownership 
• Take ownership of product-related processes and deliverables
• Work with game providers and support integrations
• Oversee back-office, frontend features, and promotional mechanics
• Manage and coordinate product development tasks across teams
• Collaborate with marketing, affiliate, and support teams
• Analyze product performance and suggest improvements

• Prioritize tasks in a fast-changing startup environment

   

Requirements

Must-have:

• 3+ years of experience in iGaming 
• Experience in Product or Project Management roles
• Understanding of online casino operations and mechanics
• Experience working with providers / integrations is a strong plus
• English at a business level

Nice-to-have:

• Experience with crypto products
• Analytical mindset (understanding of metrics like LTV, GGR, retention)
• Experience working in startups

Soft Skills

• Fast learner with a strong ownership mindset
• Ability to work independently with minimal supervision
• Proactive and goal-oriented
• Comfortable working in a fast-paced, evolving environment
• Strong communication and problem-solving skills

What Company Offers

• Opportunity to work directly with experienced leaders (10+ years in iGaming)
• Full-cycle product exposure (end-to-end development)
• Fast career growth potential as the company scales
• High level of ownership and impact on the product
• Remote work flexibility

Additional Notes

• This is a dynamic startup environment where priorities may evolve quickly

• Occasional availability outside standard working hours may be required in urgent situations

   

  About the Company

  We are an early-stage iGaming startup operating two brands focused on both crypto and fiat markets.

  Our team consists of experienced professionals with 10+ years in the industry, building products from scratch and scaling them globally.

  You will work closely with experienced project leads who have deep  10+ years expertise in the iGaming industry and hands-on experience in launching and growing products.

  This is a unique opportunity to join at an early stage and play a key role in shaping the product and processes.

We’re looking for a Full-Stack Engineer (Backend-Focused) to help us build an AI-powered video analytics platform focused on real-time security and behavioral event detection.

This is NOT a simple dashboard or CRUD application.

We are building a modular AI infrastructure that processes live camera streams, receives AI detections, generates JSON metadata/events, and displays alerts inside an operator/admin interface.

We already have:

* frontend/UI direction
* product architecture logic
* module definitions
* workflow understanding
* partially designed interface

We now need someone who can connect the entire system together into a stable product.

Project Overview
Architecture:

Camera Stream (RTSP)
→ AI Detection Modules
→ JSON Metadata / Events
→ Backend
→ Admin Panel / Alerts

The platform is focused on:

* non-biometric AI analytics
* real-time alerts
* event processing
* modular architecture
* scalable AI integrations
* future predictive behavioral analytics

Examples of AI modules:

* intrusion detection
* zone violation
* loitering
* theft/object removal
* aggressive behavior/fight detection
* smoke/fire detection
* anomaly detection

Each module produces metadata/events that must appear in the monitoring interface.

What You’ll Build

You will primarily work on backend architecture, but should also be comfortable making frontend integrations/modifications when needed.

Core responsibilities:

* RTSP stream integration
* Backend APIs
* Real-time event processing
* JSON metadata handling
* Alert/event pipeline
* WebSocket/live updates
* Video clip buffering (before/after event)
* Admin panel integration
* Multi-camera management
* Event timelines/history
* Deployment and infrastructure setup
* Connecting AI modules with frontend

Goals

Phase 1 Deliverables:

* stable backend architecture
* RTSP stream support
* AI event ingestion
* JSON metadata pipeline
* alert system
* admin panel integration
* clip/event management
* multi-camera support
* live updates

Future phases may include:

* edge deployment
* predictive analytics
* behavioral risk scoring
* advanced AI modules

Team Summary

We are the backend engineering team for a data annotation platform that powers AI/ML workflows, including data preparation, quality control, and integration with model training pipelines. Our focus is on backend services, data workflows, platform reliability, and scalability. We collaborate closely with Applied Science, Data, Product, and other engineering teams.

Job Summary

We are seeking an experienced Engineering Lead to guide and manage our backend team. This role combines backend engineering leadership, stakeholder collaboration, ownership of team delivery, and people management. You will be responsible for setting technical direction, driving execution quality, developing engineers, and ensuring the reliability and scalability of engineering systems that directly support AI/ML development.

Responsibilities and Duties

• Lead and manage the backend team and own all aspects of delivery, including planning, execution, technical risk management, and engineering quality
• Drive technical excellence by guiding key design decisions, resolving architectural trade-offs, and supporting the team on complex production, reliability, and scalability issues for backend services, APIs, and data workflows
• Manage and develop engineers through regular 1:1s, performance support, coaching, and career development

• Improve team execution by addressing technical debt, process gaps, and knowledge-sharing needs in partnership with cross-functional stakeholders (Applied Science, Data, Product, etc.)

   

Qualifications and Skills

• Proven experience leading and managing backend engineering teams
• Strong practical experience with Python backend development
• Experience designing, building, and operating production backend services, APIs, and data-processing workflows
• Practical AWS experience for building, operating, and troubleshooting production backend systems
• Experience with containerized backend systems, queues, background jobs, and/or workflow orchestration (Kubernetes experience is preferred)
• Strong system design skills focused on scalability, reliability, and maintainability
• Proven people management skills: coaching, feedback, and engineer development
• Experience with delivery planning, technical risk management, production support, debugging, monitoring, and incident resolution
• Clear and direct communication style with engineers, managers, and stakeholders
• Ability to create clarity in ambiguous situations and make pragmatic decisions that balance speed, quality, and maintainability

Nice to have

• Experience with data-heavy backend systems, data pipelines, or workflow-heavy platforms
• Experience in AI/ML, computer vision, MLOps, or ML-adjacent engineering
• Familiarity with security-sensitive systems, such as access control or auditability
• A product mindset, interest in user workflows, and ability to communicate technical direction to senior stakeholders