Jobs at Djinni

Project

The project focuses on a deep refactoring and optimization of the reporting ecosystem combining Salesforce CRM and Tableau. The main goal is to redesign current data flows, replacing the bulky and slow architecture with a modular system of reusable components. You will work on a process redesign to ensure speed, data accuracy, and ease of future system maintenance.

Responsibilities

• Development and Redesign: designing and supporting complex interactive visualizations in Tableau Desktop with a focus on modularity.
• Architecture Optimization: transforming bulky data flows into a fast and stable reporting system.
• Integration and Setup: working with data streams from Salesforce CRM and ERP systems (SAP, Odoo, MS Business Central).
• Technical Optimization: performance tuning (Data Extracts, calculated fields, SQL query optimization).
• Business Collaboration: gathering requirements from stakeholders and translating them into clear technical specifications for visualization.
• Data Governance: ensuring data accuracy, integrity, and security (including Row-Level Security).

Requirements

• Must-have:
  • 1.5-2+ years of commercial experience with Tableau (Desktop, Server/Cloud) or other BI tools.
  • Strong SQL skills (writing complex queries, joins, CTEs).
  • Understanding of CRM and ERP system architecture (how data is stored and interconnected).
  • Intermediate+ English level (for technical communication and documentation).
• Nice-to-have:
  • Experience with Tableau and Salesforce integration (a significant plus).
  • Experience with Tableau Prep or other ETL tools (Alteryx, KNIME).
  • Tableau Desktop Specialist or Certified Data Analyst certification.
  • Experience with cloud data warehouses (Snowflake, BigQuery, AWS Redshift).

Conditions

• Collaboration Type: Part-time (Freelancer / Contract).
• Location: Remote.
• Schedule: Flexible (details to be discussed based on your availability).

Selection Process

1. Recruiter screening.
2. Technical interview with the Tech Lead.
3. Offer.

LITSLINK is looking for a QA Engineer (Manual) to join a long-term project focused on building a privacy-first secure mobile messenger.

You will work on a complex product with a strong focus on security, real-time communication, and multi-device consistency, where QA is an integral part of the development process.

Project

• Secure mobile messenger (iOS & Android)
• End-to-end encryption by default
• Multi-device support
• Real-time messaging and calls
• On-device AI features

Format

• Remote
• Part-time (≈20h/week)
• Long-term

Responsibilities

• Perform manual testing of mobile applications (iOS & Android)
• Validate critical flows: authentication, messaging, calls, multi-device sync
• Test real-time features under different network conditions
• Identify edge cases and нестандартні сценарії
• Perform API testing and basic network inspection
• Participate in regression testing before releases
• Collaborate with QA Lead and engineers

Requirements

• 3+ years of experience in mobile QA (iOS & Android)
• Experience testing complex mobile applications
• Experience with API testing (REST, Postman)
• Experience with network tools (Charles / proxy)
• Experience testing real-time features (chat / sync / notifications)
• Strong attention to detail and analytical thinking
• Upper-Intermediate+ English

Nice to have

• Experience with WebRTC / VoIP testing
• Understanding of security / encryption basics
• Experience with messaging / fintech / security products
• Experience with real devices testing
• Basic understanding of test automation

Why join

• Work on a security-focused product
• Complex real-time system, not just UI testing
• Opportunity to grow in security and mobile domain
• Flexible part-time format

Our partners are looking for a visionary Head of Live Games / Product Owner to spearhead the development and scaling of their Live Casino vertical. You will own the entire lifecycle of Live products — from the physical studio setup and broadcast quality to the digital player interface and global commercial success.

The ideal candidate is a hands-on leader who understands that a great Live game is a perfect symphony of high-end streaming, flawless game logic, and impeccable studio operations.
 

Key Responsibilities:

• Studio & Product Strategy: Define and execute the roadmap for Live games (Blackjack, Roulette, Baccarat, and Game Shows);
• End-to-End Studio Oversight: Manage the physical studio setup, including camera angles, lighting, table equipment, and streaming hardware (encoders/latency optimization);
• Product Excellence: Own the UI/UX for desktop and mobile, ensuring a seamless betting experience and high-quality video delivery;
• Operational Standards: Establish and monitor game procedures (shuffling, dealing, integrity) and studio KPIs (uptime, error rates, dealer performance);
• Cross-functional Leadership: Act as the bridge between technical developers, studio managers, and the marketing team;
• Commercial Strategy: Develop and execute sales strategies, managing relationships with operators and key partners to drive GGR growth;
• Compliance & Integrity: Ensure all games meet regulatory requirements (GLI, local jurisdictions) and maintain absolute data integrity.

Requirements:

• 3+ years of experience as a Product Owner/Head of Product specifically in the Live Casino sector;
• Deep Domain Expertise: Comprehensive understanding of Live Casino mechanics, hardware (OCR systems, GCU), and streaming technologies;
• Hands-on Studio Experience: You know exactly what’s needed to build a studio from the ground up — from green screens to physical tables;
• Business Acumen: Ability to connect product features with revenue growth, player LTV, and operator needs;
• Analytical Mindset: Proficiency in analyzing game performance data to identify growth levers and operational inefficiencies;
• Stakeholder Management: Proven track record of negotiating with operators and managing B2B partnerships;
• English: Fluency is required for global partner communication.

Technical & Operational Context:

• Streaming: Low-latency protocols, video quality standards;
• Hardware: Table sensors, Shuffling machines, Professional broadcast equipment;
• Software: Betting engines, UI/UX for Live environments, Integration APIs.

Benefits:

• Strategic Impact: High-level autonomy to shape a key business vertical;
• Financial Package: Competitive salary and performance-based bonuses;
• Stability & Growth: Medical insurance and professional development towards C-level positions;
• Flexibility: Remote-friendly approach with occasional travel to studio locations;
• Standard Package: 20 days of vacation, paid sick leave, and necessary equipment provided.

We’re looking for a proactive HR professional to join our team as an HR Specialist. In this role, you will act as a bridge between employees and management, ensuring a seamless and engaging workplace experience while supporting strategic HR initiatives.

What You’ll Do:

• Oversee all aspects of the employee journey, from onboarding to offboarding, including internal transfers.
• Implement and maintain HR policies, ensuring compliance and clarity for all staff.
• Plan and coordinate team events, engagement programs, and initiatives to strengthen company culture.
• Manage HR systems, automations, and data accuracy.
• Administer benefits, leave, and time-tracking processes efficiently.
• Gather and analyze HR and operational metrics to support data-driven decisions.
• Contribute to HR planning, budget allocation, and improvement projects across the company.

What We’re Looking For:

• 3–5 years of experience in HR, preferably within IT or tech-driven companies.
• Solid understanding of HR operations and full employee lifecycle management.
• Experience with HR analytics, reporting
• Strong interpersonal and communication skills to work with diverse teams.
• Proven experience in organizing employee engagement initiatives and corporate events.
• English: Upper-Intermediate

Bee's Knees is growing our expertise in Portugal and we're looking for a sourcing partner who knows the Lisbon tech scene inside out.

We need someone to build strong candidate pipelines for software engineering, DevOps, and AI roles, with a focus on reaching passive talent.

What the role involves:

• Proactive sourcing and personalised outreach (core focus)
• Candidate screening and qualification (a strong plus)

You'll be a great fit if you:

• Have hands-on experience sourcing engineering talent in Lisbon
• Know how to find and engage people who aren't actively looking
• Are comfortable working independently in a freelance setup

Flexible collaboration. Results-driven. If this sounds like you, let's connect.

We are looking for a developer with strong experience in Rust and Python.
The project is already live: the core is written in Rust, while integrations and business logic are implemented in Python.

Responsibilities:

• Maintain and further develop an existing project (Rust + Python).
  
   
• Optimize performance and fix bugs.
  
   
• Participate in fast release cycles and bug-fixing processes.
  
   

Requirements:

• Strong Python skills (3.8+), preferably with experience in data/web libraries.
  
   
• Experience with Rust or willingness to quickly dive into it.
  
   
• Confident JavaScript knowledge.
  
   
• Experience working with data: AI / data analysis, CSV, Excel, Google Sheets.
  
   
• Understanding of multithreading, API integrations, and system-level tools.
  
   
• Ability to quickly navigate an existing codebase and solve tasks independently.
  
   

Nice to have:

• Experience with CI/CD, Docker, GitHub Actions.
  
   
• Knowledge of code security practices and secret rotation.
  
   
• Familiarity with data / fintech ecosystems (Pandas, Polars, etc.).

NuxGame is a fast-growing IT company delivering high-quality software solutions for the iGaming industry. We help operators of all sizes enter new markets, strengthen their brands, and achieve ambitious business objectives.

We are currently looking for a DevOps Team Lead who is passionate about building reliable infrastructure, leading strong engineering teams, and maintaining high availability in high-load environments.

Tech Stack: AWS, Kubernetes, Terraform, Helm, GitHub Actions, VictoriaMetrics, Grafana, New Relic, Aurora, Redis, Cloudflare, Python/Bash.

Your Responsibilities

You will take ownership of the platform’s reliability and scalability, driving the team toward operational excellence.

• Team Leadership: Lead and develop the DevOps team, define technical direction, improve delivery processes (including hiring and performance reviews), and promote a strong engineering culture.
• Infrastructure as Code: Architect and maintain scalable, multi-account AWS infrastructure using Terraform and Helm, while promoting GitOps practices for consistent and predictable environment management.
• Kubernetes Management: Oversee the development and maintenance of highly available EKS clusters, focusing on autoscaling, networking (CNI/Service Mesh), and efficient resource utilization.
• Operational Excellence: Enhance CI/CD processes and ensure stable delivery pipelines. Maintain 99.9%+ system availability through monitoring, incident management, and proactive performance improvements.
• Security & Compliance: Improve platform security by implementing Zero-Trust principles, managing IAM and secrets, and overseeing Cloudflare security features (WAF, DDoS protection).
• Database Reliability: Ensure stability of stateful services such as MySQL/Aurora and Redis by implementing backup automation, failover mechanisms, and performance tuning.
• Cross-team Collaboration: Work closely with Backend, Product, and QA teams to align infrastructure development with business needs and remove bottlenecks in the delivery process.

What we expect from you

• Experience: 5+ years in DevOps, including at least 2 years in a leadership role (team coordination, mentoring, reporting).
• AWS Expertise: Strong knowledge of AWS ecosystem, including multi-account setups, networking, security best practices, and cost optimization.
• Kubernetes Expertise: Advanced hands-on experience with EKS, including high-availability setups, networking, PodDisruptionBudgets, NodeGroups, and Service Mesh technologies (e.g., Cilium/eBPF).
• IaC & GitOps: Solid experience with Terraform (modular, multi-environment setups) and GitOps tools like FluxCD or ArgoCD.
• CI/CD: Experience designing scalable and secure pipelines (GitHub Actions, Jenkins) for PHP and Go applications.
• Observability: Deep knowledge of monitoring tools (Prometheus, Grafana, Alertmanager, New Relic, Sentry) and building effective alerting and metrics strategies.
• Security Fundamentals: Understanding of network segmentation, SSL/TLS, secrets management (AWS Secrets Manager / External Secrets Operator), and compliance basics.
• Automation: Strong scripting skills in Python or Bash for automation and internal tooling.

Nice to have

• Architecture: Experience designing multi-region and multi-cloud systems, cross-cluster networking, and disaster recovery solutions.
• Streaming: Experience with Kafka/MSK or similar event streaming platforms.
• Compliance: Familiarity with PCI DSS or similar standards.
• Performance: Good understanding of Linux internals and advanced caching approaches (Redis, Cloudflare, S3 tiering).
• Cost Optimization: Experience in FinOps practices and cloud cost optimization strategies.

Job Description

• Proven experience designing, building, and operating data-oriented solutions in a high-volume, transactional, global, industry. Experience with advertising technology (AdTech) is highly desired.
• Proven experience and a passion for developing and operating data-oriented solutions using Python, Airflow/Composer, Kafka, Snowflake, BigQuery, and a mix of data platforms such as Spark, AWS Athena, Postgres and Redis. Excellent SQL development, query optimization and data pipeline development skills required. Strong experience using public cloud platforms including AWS and GCP is required; experience with docker and Kubernetes strongly preferred. Experience in the use of multiple programming languages is highly desirable. Experience using Functional programming is ideal.
• Proven experience in developing data structures and algorithms. Experience supporting ML/AI highly desirable.
• Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable.
• Proven experience in data engineering and testing practices and implementing these in teams, with a willingness to share, partner and coach engineers, product people, and operations through pragmatic and effective development and delivery practices.
• Proven experience shaping and evolving the principles, practices, and tooling supporting agile, testing/QA, DevSecOps, automation and SRE in a data-focussed team. Experience in Trunk Based Development, XP, & implementing CI/CD as used in data teams is highly desirable.
• A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams.
• Demonstrated resilience, with experience working in ambiguous situations.
• Strong English, excellent influencing and communication skills, and excellent documentation skills.

Job Responsibilities

• Work with product, product engineering, data engineering, and data science peers to build and support our AdTech platform.
• Architect and build data-oriented solutions that are simple, scalable, reliable, secure, maintainable, and make a measurable impact.
• Provide our teams with the data they need to build, sell, and manage our platform. Develop, deliver and maintain batch and real-time data pipelines, analysis services, workflows and orchestrations, and create and manage the platforms and data infrastructure that hold, secure, cleanse and validate, govern, and manage our data.
• Manage our data platform, incorporating services using Airflow/Composer, BigQuery, Snowflake, Kafka, and Redis running on Kubernetes, GCP, and AWS.
• Support our Data Science teams with access to data, performing code reviews, aiding model evaluation and testing, deploying models, and supporting their execution.
• Employ modern pragmatic engineering principles, practices, and tooling, including TDD/BDD/ATDD, XP, QA Engineering, Trunk Based Development, Continuous Delivery, automation, DevSecOps, and Site Reliability Engineering.
• Contribute to driving ongoing improvements to our engineering principles, practices, and tooling. Provide support & mentorship to junior engineers.
• Develop and maintain a contemporary understanding of AdTech developments, industry standards, partner and competitor platform developments, and commercial models, from an engineering perspective.

Department/Project Description

Who is our client:
Our client is a global data products and technology company. They are on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
They work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. Delivering this through the AI-enabled media and data platform for the next era of advertising.
The client is endlessly curious. Their team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Our client's culture is based on mutual trust, sharing, building, and learning together. They value simplicity, maintainability, automation, and metrics.

About this role:
Client's team consists of 100+ engineers, designers, data, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with their customers, to develop and scale their platform, a leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.
As a Data Engineer you will work with the client's Product and Engineering team, as well as other feature development teams, to build, deliver and operate their data platform. The role is a hands on data engineering role, analyzing and sourcing data for their teams to use, building and maintaining pipelines and automation to wrangle, cleanse, secure, govern and provide that data to teams, building automations, owning tests, supporting junior engineers, and contributing to the wider team principles and practices, and the tools they use. The role has no line management responsibilities.
Their data platform is built with Python and Airflow, deployed using CI/CD, heavily exploits automations, and runs on AWS, GCP, k8s, Snowflake and more. Their efforts in data engineering support their adserving platform which serves 9 petabytes and 77 billion objects annually, which amounts to 20 billion ad impressions across the globe. You’ll play a leading role in significantly scaling this further.

📍 Location

Remote

⏱ Commitment

Part-time (~5 hours/day)

📄 Contract Type

Long-term

🌎 Time Zone

Required overlap with Eastern US business hours (EST/EDT)

🤝 Engagement Model

Outstaff — you will be fully integrated into the client’s team, working closely with their developers and stakeholders, with tasks and planning managed on the client’s side.

🚀 About the Role

We are looking for a skilled Manual QA Engineer to join multiple long-term eCommerce projects. You will focus on testing web applications and websites, ensuring high product quality across various environments.

This role involves collaboration with multiple cross-functional teams and participation in different stages of the product lifecycle — from new feature development to maintaining live systems.

🛒 About the Projects

• Multiple ongoing eCommerce projects, including multi-store environments
• Work closely with several development teams across the organization
• Continuous involvement in:
  • Feature development
  • Enhancements
  • Maintenance and scaling of existing solutions

🔍 Responsibilities

• Perform final validation of completed tasks before client approval or production release
• Identify defects, conduct regression testing, and coordinate fixes across teams
• Execute regular smoke and regression testing after frequent releases (several times per week)
• Ensure system stability and functional accuracy in production environments
• Create and maintain QA documentation (bug reports, checklists, internal guides)
• Participate in daily stand-ups and team syncs, ensuring clear communication and alignment

✅ Requirements

• 4–5+ years of experience in Manual QA (Middle+ level)
• Strong hands-on experience with Magento and Shopify (must-have)
• Deep understanding of key eCommerce flows:
  • Catalog browsing
  • Checkout and payments
  • User accounts
  • Promotions and discounts
• Solid knowledge of testing methodologies:
  • Regression
  • Smoke
  • Exploratory testing
• Experience working with multiple teams simultaneously
• Upper-intermediate English (B2+)
• Ability to work with overlap in EST time zone
• Strong self-organization and reliability in a part-time setup

🎁 What We Offer

• Long-term collaboration on large-scale eCommerce projects
• Opportunity to work with international teams
• Fully remote and flexible working format
• Competitive hourly/daily rate

LITSLINK is looking for a QA Lead to join a long-term project focused on building a privacy-first secure mobile messenger.

This is a hands-on role where you will own QA processes and drive automation for a product with a strong focus on security, end-to-end encryption, and real-time communication.

Project

• Secure mobile messenger (iOS & Android)
• End-to-end encryption by default
• Multi-device support
• Real-time messaging and calls

• On-device AI features

   

Format

• Remote
• Part-time (≈20h/week)

• Long-term

   

Responsibilities

• Own QA processes and test strategy
• Define test coverage and release quality standards
• Build and maintain automation (mobile + API)
• Integrate tests into CI/CD (GitHub Actions or similar)
• Validate critical flows: messaging, calls, multi-device sync
• Perform basic security validation (no plaintext data exposure)
• Collaborate closely with engineers and PM

Requirements

• 4+ years in QA (mobile focus)
• Strong experience with automation (Appium / Selenium / Cypress / Playwright)
• Experience with CI/CD pipelines
• Experience testing mobile apps (iOS & Android)
• Solid understanding of API testing
• Experience with network tools (Charles / proxies)
• Strong ownership and analytical thinking
• Upper-Intermediate+ English

Nice to have

• Experience with real-time apps (chat / calls / WebRTC)
• Understanding of security / encryption basics
• Experience with performance testing

Why join

• Security-focused product (not just another app)
• High-impact role with ownership
• Flexible part-time format

VIP Manager (iGaming)
 

Responsibilities

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

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

Languages
— English: B2+
— Uzbek: C1
 

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

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

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

👋👋 

We are looking for a Junior QA Engineer with a basic understanding of test automation and coding. This is not a manual QA role — we expect you to write simple automated tests and work with testing tools.

Great opportunity for someone who already knows the fundamentals and wants to grow in automation.

💻 Responsibilities

Write and maintain automated tests

Work with API testing tools

Create test cases and test scenarios

Collaborate with developers to improve product quality

Analyze bugs and help reproduce issues

Participate in improving QA processes

🟩 Requirements

Basic knowledge of test automation

Experience with tools like:

Selenium / Playwright / Cypress (any)

Postman or similar API tools

Basic programming skills (JavaScript / C# / Python)

Understanding of HTTP / REST API

Ability to read and understand code

English level: Pre-Intermediate or higher

⭐️ Nice to have

Experience with CI/CD (GitHub Actions, Azure DevOps, etc.)

Understanding of testing theory (test design techniques)

Experience with Git

🟦 We offer

Mentorship and growth into stronger Automation QA

Real commercial experience

Friendly team and flexible workflowAbout project

🖥📱 About project

Product in eCommerce / SaaS domain with focus on web and mobile platforms. You will work with modern stack and real production tasks.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

We are scaling our cloud infrastructure and looking for a DevOps Engineer who can help us build a stable, automated, and production-ready environment.
 

Responsibilities:

• Design, maintain, and optimize infrastructure in AWS / GCP
• Work with Docker and Kubernetes (EKS / GKS / K3s) in production environments
• Build and maintain CI/CD pipelines (GitHub Actions / ArgoCD)
• Implement monitoring and logging solutions (Prometheus / VictoriaMetrics / Loki / Grafana)
• Support Linux-based production servers and troubleshoot infrastructure issues
• Collaborate with backend and ML engineers on deployments, scaling, and production reliability
• Contribute to Infrastructure as Code (Terraform)
• Advise on cloud security, networking, and high-availability patterns
   

Requirements:

• 5+ years experience in software infrastructure, DevOps, or related role
• Hands-on Docker and Kubernetes experience
• Strong experience with AWS or GCP in production
• Experience building and maintaining CI/CD pipelines
• Experience with monitoring and logging systems (Prometheus / VictoriaMetrics / Loki / Grafana)
• Knowledge of Gazebo and ROS is also an asset
• Experience collaborating closely with development teams on deployment and infrastructure automation
• Understanding of cloud networking and security best practices
   

Why you should join us:

• Join a fast-growing Ukrainian-Estonian defense tech company building AI-powered geospatial intelligence tools used in real defense and security operations.
• Work on technologies that transform drone data into actionable 2D/3D terrain models for situational awareness.
• Collaborate with top engineers and researchers on cutting-edge infrastructure and mission-critical systems.
• Make a real impact on technology used in defense and tactical environments.

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.

Right now, we rely on our network and referrals. It works, but it limits growth. We need someone to help us build a working outbound lead generation channel from scratch.

We’re looking for a Sales Development / Business Development Specialist who will own early-stage client acquisition end-to-end — from shaping ICPs and outreach strategy to first conversations and pipeline validation. We provide context, feedback, and support — you run the outreach and refine your approach.


What You’ll Do:

• Own the full outbound cycle — from identifying and targeting companies to first conversations.
• Strategic targeting — help identify and refine the right audience, ICPs, and segments among B2B companies that may need AI implementation or custom development support.
• First conversations — initiate and manage early-stage conversations, clearly articulating Softcery’s value.
• Lead qualification — assess fit, context, and readiness before passing qualified leads further in the pipeline.
• Inbound lead processing — handle and prioritize inbound leads from Upwork and our website.
• CRM ownership — maintain accurate records in Attio (statuses, notes, next steps, follow-ups).
• Messaging & positioning — adapt short introductions and outreach messages to different client contexts.
• Collaboration — work closely with the Marketing Specialist to adjust outreach focus, priorities, and messaging based on real results.

Who We’re Looking For:

• 1+ years of experience in SDR / BDR / outbound lead generation (IT services, SaaS, or consulting).
• Understanding of B2B sales cycles and early-stage funnel logic.
• Experience working with ICPs, segmentation, and lead qualification.
• Strong ownership mindset, with comfort operating in evolving processes.
• Data and result-oriented approach to outreach.
• Ability to quickly understand technical services and translate them into clear value.
• Strong English skills (C1).

Nice to have:

• Experience with US/UK markets.

What We Offer:

• Competitive pay & performance-based bonuses (qualified meetings & closed clients), regular salary reviews.
• Structured onboarding & dedicated support.
• Flexible remote work (with regular offline meetings if you based in Lviv).
• 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 → Test task (find 3 leads + write outreach messages) → Final interview.

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 👋