Jobs

Check Point is looking for a Senior Automation QA Engineer (Python) to team developing platform in cybersecurity and SaaS for simplifying network security for the modern and distributed workforce by transforming the outdated, complex, hardware-based network security technologies of the past into one unified, easy-to-use, and scalable software solution. You will be part of multi-national distributed team responsible for multiple desktop and mobile device agents.

Join to our international team with offices in New York, Los Angeles, Tel-Aviv and Vinnytsia.

RESPONSIBILITIES

• Design, automate and implement test cases for a variety of products, using the latest technologies on the market
• Develop and apply integrated testing processes for new and existing products, using the latest tools and technology
• Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
• Use different testing techniques and test-driven development strategies
• Work hand-in-hand with manual QA to learn about the system and find ways to improve the automation flows
• Identify key KPIs for product quality
• Challenge our methodologies and tools and strive to continuously improve

• Experience with working and configure monitoring tools such as DataDog Grafana Etc.

   

SKILLS

• 5+ years experience working with a variety of different automated testing techniques, test-driven development strategies
• 5+ years experience with scripting languages such as Python and automation results analysis.
• 5+ years experience working on high-traffic networks / Networking knowledge (HTTP, HTTPS, TCP/UDP, Routing)
• Knowledge of Playwright and how to use and write integration tests
• Experience with cloud-based technologies such as AWS
• Experience in API testing
• BS/MS degree in Computer Science, Engineering or a related subject
• Upper-intermediate level of English
• Nice to have:
  • Experience with automation tools and processes
  • Good understanding of tunnels, VPNs and configuring firewalls
  • Experience in testing Web applications
•  

WE OFFER

• Work in a creative friendly environment using cutting-edge technologies.
• Work-life balance and flexible schedule.
• Competitive compensation with focus on your expectations; annual salary review.
• 24-day paid vacation and 100% paid sick leave.
• Financial support and legal support for individual entrepreneurs from our side.
• Professional, language and soft skills trainings.
• Health insurance coverage: individual and family, Fitness plan.

The work lives inside an engineering domain - with data-rich interfaces, layered workflows, and high-density screens used by experts who actually rely on what they see. We’re looking for a Senior UX Designer who approaches complexity with clarity, structure, and common sense - someone who helps users make better decisions, cares about the invisible logic that holds everything together, and brings clarity to screens that may not trend on Dribbble, but actually help someone do their job better.

• Responsibilities:

  Design and build core areas of the interface - from early flows to detailed wireframes
  Collaborate with users, product managers, and developers to clarify requirements and turn them into intuitive interaction models
  Run UX reviews, identify issues, and propose practical improvements
  Develop and maintain interface patterns to support consistency
  Clearly communicate your design logic in documentation and walkthroughs - helping others understand the “why” behind your decisions

• Mandatory Skills Description:

  5–7 years of experience in UX design for complex web-based systems or internal tools
  Hands-on experience designing information-rich interfaces
  Experience working closely with users and the team to clarify requirements and translate them into clear interaction models
  Strong proficiency in Figma - including components, libraries, and design documentation
  Experience collaborating with engineering teams in technical and domain-heavy contexts
  Ability to work with complexity and explain design rationale with clarity and structure
  Comfortable taking ownership in a loosely defined environment and driving designs forward

• Nice-to-Have Skills Description:

  Experience in the oil and gas industry.

Our client is a B2B SaaS company (unicorn level) that drives growth for its clients around the world. They are the #1 AI-native platform for Customer Experience and Marketing—offers marketers a single platform to deliver unique experiences per person, drive profitable growth, and unleash peak productivity and efficiency. Their platform connects data across channels, predicts future behavior with AI, and individualizes experiences from a single platform.

They are looking for a Senior Software Engineer, who will help our team create and implement a wide variety of web-based products using GoLang or Node.js, and wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies.  

Responsibilities:

• Designing, implementing and maintaining APIs and services,
• Identifying and solving complex technical challenges creatively and effectively,
• Nurture a team culture that fosters collaboration and high performance,
• Providing guidance and support to team members, helping them develop their technical skills

• Monitoring and optimizing key performance metrics

   

Requirements:

• You've had experience in technically leading a team of engineers
• You've had 5+ years of designing highly-scalable and highly-available systems, most of it in Go
• You take pride in your engineering practices
• Quality and documentation are not an afterthought for you
• You are a good communicator and fluent in English

📍 Location: Remote candidates, EU based
💼 Cooperation type: Full-time

We’re looking for a strategic and results-driven Head of Sales to lead and scale our commercial efforts across global markets. You’ll define and execute a winning sales strategy, build high-performing processes and teams, and directly impact our growth trajectory.

About us:
Stape — is a global product-driven IT company and the #1 leader in the server-side tracking market. We’re building a powerful, technically complex product that simplifies server-side tracking for marketers and website owners. Today, we proudly serve more than 100,000 clients worldwide, process over 10 billion daily requests, and are technical partners of Meta and Snapchat.

We actively participate in industry-specific conferences as sponsors of events like MeasureCamp and Superweek.

Key tasks:

• Develop and implement a scalable commercial strategy aligned with company goals to ensure sustainable growth and profitability.
• Drive client acquisition through outbound and inbound channels: networking, outreach, referrals, and industry events.
• Build and optimize customer acquisition processes across the funnel.
• Monitor market trends and competitors, identify growth opportunities and develop go-to-market initiatives.
• Lead, inspire, and scale the sales team: set clear goals, track performance, and drive team development.
• Collaborate closely with marketing to enhance lead generation, conversion rates, and revenue.
• Implement a data-driven sales culture, leveraging analytics and automation to improve processes and results.

Your background:

• 5+ years of experience in sales or commercial roles, including 3+ years in leadership within SaaS or tech product companies.
• Proven track record of building and scaling both inbound and outbound sales strategies.
• Strong analytical mindset: you rely on data to guide decisions and optimize performance.
• Experience setting up and monitoring KPIs for sales teams.
• Leadership experience: you know how to set direction, motivate teams, and deliver results.
• Strategic thinking with strong execution skills.
• Excellent communication and negotiation skills.
• Fluent English (written and spoken).

We offer:

• Innovative product: Make a meaningful difference by contributing to a globally recognized solution that shapes the future of the server-side tracking market.
• Collaborative culture: Thrive in a friendly and open team environment that encourages initiative, creativity, and collaboration.
• Flexibility: Enjoy a flexible work schedule with the freedom to choose where you work.
• Career growth support: The company provides a dedicated budget for your professional development.
• Comfortable work environment: The company provides support for necessary equipment to help you create a productive and comfortable workspace.
• Paid parental leave: Paid parental leave is available to support employees during key life moments, helping to maintain a healthy balance between work and family life.
• Work-Life Harmony: Unlimited sick leave, 20 paid vacation days, and official Ukrainian public holidays to help you stay healthy and recharge.

Ready to drive our sales to the next level? Submit your CV and let’s get started!

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜If you want to work from home or work in the offices in Kyiv or Lviv with stable electricity and Wi-Fi , great — apply right now.

About the project:
The project involves migrating from a smaller host to AWS, building a scalable infrastructure from the ground up, and supporting multiple initiatives across development and production environments.
The work is expected to be carried out between 16:00 and 20:00 Kyiv time.
 

Role Overview:
The client seeks a senior DevOps engineer for cloud migration, starting part-time (4 hours/day) with potential for increased hours.
 

Skills & Experience:
● 5+ years of DevOps experience
● Strong scripting skills in PowerShell (Windows environments) and Bash / shell scripting (Linux environments)
● Strong scripting skills in Python and usage in AWS Lambda
● Proven experience using CloudFormation as a primary deployment mechanism (templating, stack management, drift detection, etc.)
● Deep familiarity with AWS CDK (Cloud Development Kit) — ability to define infrastructure in code, build constructs, and integrate with pipelines
● A track record of designing or operating monitoring / observability systems; familiarity with Prometheus, Grafana, or AWS-native equivalents (CloudWatch, X-Ray) is a strong plus
● Experience carrying projects from inception through to deployment and post-delivery operations — not just “hands in one piece”
● Experience in incident response, diagnostics, and resolution, coupled with the ability to codify solutions into durable, automated fixes or runbooks
● Experience collaborating with customer support or operations teams: translating technical diagnostics into actionable guidance, handoffs, and escalation paths
● Ability to write clean, maintainable automation code, test it, and version it (e.g. via Git, CI/CD)
● Good communication skills and ability to work cross-functionally (dev, support, ops)
 

Nice to have:
● Past experience or proficiency in C# (especially where it interfaces with infrastructure or tools)
● Experience with container orchestration (e.g. EKS, ECS, Kubernetes) or integrating monitoring into container environments
● Experience with additional IaC tooling (e.g. Terraform), CM tools (Ansible), or multi-cloud exposure
● Experience with advanced observability patterns: anomaly detection, distributed tracing, logging pipelines
● AWS certifications (e.g. Solutions Architect, DevOps Engineer) or prior formal training in cloud principles
 

Key Responsibilities:

● Help with migration of the project to AWS cloud following best practices and Well-Architected framework;
● Design proper IaC solution which easy to maintain and develop;
● Design and implement proper monitoring solution to understand systems health;
● Configure CI and CD pipelines following industry best practices;
 

What will you get:
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

GR8 Tech is a leading B2B provider of iGaming solutions that empowers operators to grow, lead, and win.

We deliver high-impact, full-cycle tech solutions designed to scale. From seamless integration and expert consulting to long-term operational support, our platform powers millions of active players and drives real business growth. It’s more than just a product — it’s the iGaming Platform for Champions, built for those who play to lead.

We know the game and how to take it to the next level. With 1000+ talented professionals on board, we don’t just build tech — we build success stories for iGaming operators all over the world.

Our ambition drives us, our people make it real. Join us and be part of building champion-level success!

What You’ll Be Driving:
— Developing and executing overall product strategy aligned with business objectives;
— Providing visionary leadership and aligning the product roadmap with long-term goals;
— Overseeing product portfolio and ensuring each feature drives business value;
— Prioritizing initiatives and allocating resources based on strategic impact;
— Conducting market analysis to identify trends, customer needs, and competitive dynamics;
— Defining and refining product positioning, differentiation, and go-to-market strategies;
— Collaborating with cross-functional teams and leadership to align product efforts with company strategy;
— Building strong internal and external relationships to support product success;
— Managing product budgets and maximizing return on investment;
— Driving innovation by identifying opportunities and leveraging emerging technologies;
— Advocating for the customer by integrating feedback into product development;
— Identifying and mitigating risks throughout the product lifecycle;
— Overseeing end-to-end product lifecycle from ideation to retirement;
— Making data-driven decisions to continuously improve product performance;
— Communicating product vision, progress, and outcomes to stakeholders through regular reporting.

What Makes You a GR8 Fit:
— 4+ years of experience in product management;
— Proven ability to gather and communicate product requirements across cross-functional teams;
— Strong background in influencing user research approaches, analytics, and feedback loops;
— Successful coordination of product, operations, marketing, support, and sales teams;
— Track record of maintaining 12-month product roadmaps and strategic planning;
— Solid understanding of emerging technologies and market trends in product decision-making;
— Demonstrated transparency in sharing team outcomes and progress across the organization;
— Full-cycle recruitment and onboarding of product managers and analysts;
— Team leadership involving direct management of up to 3 PMs with structured growth plans;
— Hands-on involvement in designing and scaling product development processes across departments;
— Contribution to the structural and cultural development of the product organization;
— Ability to instill product thinking within engineering, support, operations, and other teams;
— Skilled in managing and nurturing relationships with external business partners.

Why You’ll Love Working Here:

Benefits Cafeteria
An annual fixed budget that you can use based on your needs and lifestyle. You decide how to allocate it:

— Sports — gym, yoga, or any activity to keep you active;
— Medical — insurance and wellness services;
— Mental health— therapy or coaching support;
— Home office — ergonomic furniture, gadgets, and tools;
— Languages — courses to improve or learn new skills.

Work-life
— Parental support with paid maternity/paternity leave and monthly childcare allowance;
— 20+ vacation days, unlimited sick leave, and emergency time off;
— Remote-first setup with full tech support and coworking compensation;
— Regular team events — online, offline, and offsite;
— Learning culture with internal courses, career development programs, and real growth opportunities.

Our Culture & Core Values
GR8 Tech culture is how we win. Behind every bold idea and breakthrough is a foundation of trust, ownership, and a growth mindset. We move fast, stay curious, and always keep it real, with open feedback, room to experiment, and a team that’s got your back.

— FUELLED BY TRUST: we’re open, honest, and have each other’s backs;
— OWN YOUR GAME: we take initiative and own what we do;
— ACCELER8: we move fast, focus smart, and keep it simple;
— CHALLENGE ACCEPTED: we grow through challenges and stay curious;
— BULLETPROOF: we’re resilient, ready, and always have a plan.

Senior DevOps Engineer / Cloud Infrastructure Engineer

Global AI Startup | Remote | Full-time

We’re looking for a Senior Cloud Engineer to join the founding engineering team of a fast-growing AI platform revolutionizing how enterprises manage cloud infrastructure costs. The company is a VC-backed seed-stage startup founded by former experts from Google, Deloitte, and DeepMind.

You’ll be joining as one of the first engineers, shaping both the product and the technical foundation of a platform that processes billions in cloud spend data for global clients.

 What You’ll Do

• Design and build scalable data pipelines for AWS and Azure billing/usage data
• Develop Infrastructure as Code (Terraform, CloudFormation, Pulumi)
• Build integration layers with AWS Cost Explorer, Azure Cost Management, and related APIs
• Optimize infrastructure across multiple regions and accounts
• Establish CI/CD pipelines and ensure system reliability, performance, and security
• Collaborate with the AI team to integrate ML models into the infrastructure

• Work with early customers to shape the product and define best practices

   

What We’re Looking For

Required:

• 8+ years of hands-on experience with AWS and/or Azure
• Strong programming skills in Python or Go
• Experience with Terraform and modern IaC tools
• Deep understanding of cloud cost optimization and billing APIs
• Knowledge of containers (Docker, Kubernetes) and serverless architectures

• Solid understanding of system reliability, performance, and scalability

   

Nice to have:

• Multi-cloud experience (AWS + Azure)
• FinOps or cloud cost optimization background
• Experience with Airflow, Spark, or streaming systems
• Prior startup experience

• AWS / Azure certifications

   

Who You Are

• Systems thinker with attention to detail
• Comfortable working in an early-stage, fast-paced environment
• Passionate about building elegant, scalable infrastructure
• Strong communicator and proactive problem solver

• Self-directed and comfortable owning projects end-to-end

   

What’s Offered

• Remote work (Canada preferred time zone)
• Competitive salary + early-stage equity
• Work directly with CTO and CEO
• Build core infrastructure from the ground up
• Flexible and collaborative culture

Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

• Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
• Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
• Develop robust, scalable ML pipelines for training, validation, and inference.
• Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
• Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
• Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
• Ensure high data quality, perform feature engineering, and support real-time data integration processes.
• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Clearly communicate complex technical results to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior ML engineers and data scientists.
• Contribute to establishing team best practices, code reviews, and architectural decisions.
   

Requirements

• 5+ years of professional experience in machine learning, AI engineering, or related fields.
• Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
• Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of algorithms, statistics, probability, and linear algebra.
• Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
• Practical experience with cloud platforms, preferably AWS.
• Solid software engineering fundamentals including version control (Git), testing, and design patterns.
• Demonstrated success in deploying ML models into production at scale.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.
   

Nice to have

• Experience with agentic frameworks like LangChain or LangGraph

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects, and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture make Syndicode’s success continuous. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win,and  Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and can analyze a variety of sources to make sound and timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the role

This role supports the client’s Frontend and Backend development teams by automating, integrating, and streamlining the software development lifecycle. Acting as a bridge between development and operations, this position focuses on improving efficiency, speed, and reliability across all stages of delivery. Key responsibilities include building and maintaining CI/CD pipelines, automating infrastructure, monitoring system performance, resolving production issues, and fostering cross-team collaboration.

 

What you’ll be doing

• Collaboration & Communication: Serve as a liaison between development and operations teams, fostering communication and alignment to ensure smooth, coordinated delivery.
• CI/CD Pipeline Management: Design, build, and maintain continuous integration and deployment pipelines (Bitbucket Pipelines, Buildkite, Argo CD) to enable automated code testing and release processes.
• Infrastructure as Code (IaC): Implement and manage infrastructure through code using Terraform for automated provisioning and configuration.
• Automation: Streamline repetitive tasks and workflows across зdevelopment and operations to improve efficiency and minimize errors.
• Cloud & Infrastructure Management: Manage and optimize cloud environments, primarily on AWS, ensuring scalability, reliability, and cost efficiency.
• Containerization & Orchestration: Deploy and manage applications using Kubernetes to ensure resilience and scalability.
• Monitoring & Performance: Continuously monitor system performance with Datadog, diagnose production issues, and implement solutions to enhance stability and user experience.
• Security & Compliance: Apply security best practices, including automated compliance checks and secure deployment procedures, to maintain system integrity.

What you’ll need

• Scripting & Programming: Proficiency in scripting and coding languages for automation and process optimization.
• Cloud Platforms: Strong knowledge of AWS and related tools for infrastructure management and deployment.
• Containerization & Orchestration: Solid experience with Kubernetes.
• Infrastructure as Code: Hands-on expertise with Terraform.
• CI/CD Tools: Experience with Bitbucket Pipelines, Buildkite, and Argo CD.
• Version Control: Strong knowledge of Git (Bitbucket environment).
• Problem-Solving: Strong analytical skills to identify, troubleshoot, and resolve complex technical issues.
• Collaboration: Excellent teamwork skills with the ability to work effectively across multiple teams and disciplines.
• Communication: Strong written and verbal communication skills for clearly explaining technical concepts.
• Adaptability: Willingness to continuously learn and evolve alongside emerging technologies.
• Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related technical field.

What you’ll get at Syndicode
 

• Fully remote job
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world’s and market changes.

Position overview

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.
   

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)
   

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)

The Customer:

Our client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers, and automotive manufacturers. The client helps the global insurance market handle millions of claims each year in the most cost-effective and efficient ways possible. The Group is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. 

The Role:

The Senior QA Tester Automation Engineer will work with the rest of the QA team to record and automate test scripts using C# and a range of toolsets and following the standards set out. 

You will become an expert in our strategic technology platform, built in Microsoft Azure, servicing our regional and global client base within the Insurance industry.

Key Responsibilities

• Writing automated test scripts to verify and validate that the new software meets the business needs
• Gaining a strong understanding of the business operation
• Recording and monitoring QA test results 
• Enhancing existing automation back end and front end framework 
• Providing coaching support to others in the QA team
• Providing QA effort estimates in work refinement sessions
• Helping to drive the test automation strategy across the business
• Running performance tests and ensuring that the results meet established levels
• Assisting in the user acceptance test (UAT) process by helping end users understand how to use the software
• Be an active member of the Scrum team, improving processes and ensuring that the team delivers on their commitment

Knowledge and Skills required

• 5+ years of experience in testing (with at least 3 years in UI/API automation).
• Sound knowledge and experience of Web Application testing including API testing using Rest #.
• Experience using C# language.
• Experience with software QA processes, methodologies, and tools. 
• Sound knowledge of SQL server and TSQL, Visual Studio, Git, Selenium, Xray and Page Object Model.
• Knowledge of current industry-wide quality & test processes, practices, tools and techniques.
• Self-organizing problem solver with the ability to think outside the box.
• Works effectively with both local and remote colleagues, collaborating, motivating, and energizing others.
• Excellent verbal and written communication skills with strong attention to detail.
• Continuously looking to improve and learn new technologies, participating actively in the development community, contributing to blogs, researching or Opensource.
• Enjoys working in a fast-paced environment.

Experience required

• Previous experience working in medium-sized development teams.
• Experience working in an agile environment employing scrum methodology and JIRA as a SDLC management tool.

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.
 

Join us and receive a $2,500 sign-on bonus!
 

Why join us
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! :)

About the role
As a Full Stack Senior/Lead Engineer, you’ll join a cross-functional, agile team to build new features and enhance product experiences for millions of users. You’ll contribute across web and mobile platforms, improve performance, and ensure seamless user interactions.

What you will do
● Work independently and provide guidance to other team members;
● Ensure smooth operation and performance of both web and mobile applications;
● Identify, troubleshoot, and resolve bugs efficiently;
● Design, develop, and implement new features across web and mobile platforms.

Must haves
● 5+ years of experience building scalable systems;
● Solid experience with ReactJS, NodeJS for web and React Native for mobile development;
● Proven ability to deliver solutions with high throughput and low latency requirements;
● Demonstrated experience designing and implementing complex business solutions;
● Ability to develop features independently without design guidance, taking ownership from concept to implementation;
● Upper-Intermediate English level.

Nice to haves
● Experience in Startups;
● Experience with Firebase Functions.

Perks and benefits
● Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
● Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.

Meet Our Recruitment Process
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video

Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates

If it’s a match—you’ll get an offer!

Tech Level: Senior
English Level: Upper-Intermediate
Employment Type: Full-time
Time Zone: CET
Start Date: ASAP
Duration: 12+ months

About the Project

The team is responsible for building and improving address search and geocoding solutions that enable users to find accurate and relevant locations with ease. The focus areas include query understanding, geocoding, hybrid search, and enhancing prediction accuracy for pickup and drop-off locations through advanced ML models.

Project Phase: Ongoing

Key Responsibilities

• Design ML systems end-to-end, including data analysis, annotation, and processing across multiple research areas or multimodal scenarios.
• Lead data preparation and computation across all development stages.
• Translate business goals and metrics into engineering and data science tasks.
• Own the entire data science product lifecycle — from pipeline development and implementation to A/B testing and production rollout.
• Create innovative ML-driven services to improve map accuracy and coverage.
• Work on search relevance optimization, personalization, and multilingual support within the Geo domain.
• Enhance route precision and ETA accuracy.
• Contribute to Geo data management — including ingestion pipelines, anomaly detection, and data reliability improvement.
• Perform geospatial analysis and extract actionable insights from location data.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Machine Learning, or a related field.
• 5+ years of hands-on experience as an ML Engineer, Applied Scientist, or Data Scientist.
• Strong background in Python and frameworks for streaming, batch, and asynchronous data processing.
• Proficiency with MLOps tools and lifecycle management of ML models.
• Experience designing and maintaining ML-powered services in production environments.
• Familiarity with Geo / Maps ML applications.
• Expertise in multiple ML domains (e.g., Computer Vision, NLP).
• Deep understanding of classical ML, deep learning, and underlying mathematical concepts.
• Solid experience in ML system design and MLOps practices for production.
• Strong grasp of software system design principles.
• Experience in experimental design and hypothesis validation.
• Awareness of security, risk, and control practices in production systems.
• (Plus) Knowledge of Golang, event-driven systems, or distributed deployment environments.

Tech Stack

Python, Go (nice to have), SQL, Kafka / Spark / Flink, PostGIS, ElasticSearch
 

Interview Process

1. English proficiency check
2. Internal technical interview
3. Final technical interview with the project team

We are looking for an AI/ML Engineer (LLM and Autonomous Systems Specialist) to help us deliver an ambitious new project - the development and training of intelligent behavioral models for autonomous platforms capable of operating and making decisions without constant network connectivity.

The project lies at the intersection of artificial intelligence, machine learning, simulation, and robotics.

Its goal is to create a system where AI not only reacts but also understands context and adapts to its environment.

We are a technology-driven FinTech company that has gone far beyond traditional financial services - actively expanding R&D directions related to autonomous systems, model training, and next-generation agent architectures.

If you’re ready to build technologies at the intersection of AI, machine learning, and autonomous systems - welcome to the team!

Responsibilities:

• Train AI models that analyze sensor data and make autonomous decisions (Behavioral Cloning, Reinforcement Learning).
• Work with virtual simulation environments that create scenarios for reinforcement learning.
• Configure and optimize algorithms for computer vision and navigation — obstacle detection, route planning, spatial orientation.
• Transfer trained models from simulation to real devices and adapt them to limited hardware resources.
• Develop and test behavioral strategies for operation under weak or no connectivity.

Requirements:

• Strong experience with Python, PyTorch, and/or TensorFlow.
• Deep understanding of CNNs, RNNs, Transformers, and LLM fine-tuning techniques (LoRA, PEFT).
• Experience with LLM serving frameworks such as vLLM, Ollama.
• Simulation & Training: The AI model is initially trained in a virtual environment using cloud platforms.
• Computing Power: A separate high-performance computer.

Nice to have: 
 

• Work with simulation environments (AirSim, CARLA, Isaac Sim) for synthetic data generation and model validation.
• Data Handling: MongoDB is used as a local onboard database to store instructions and sensor data. 
• Hardware Integration: A Raspberry Pi acts as the intermediary, receiving AI commands and relaying them to the controller (e.g., Jetson, Pixhawk). 

What We Offer: 

• Competitive salary and performance-based bonuses.
• Opportunity to work on cutting-edge AI + blockchain projects.
• Flexible working hours and remote work options.
• Professional development, training, and access to AI & blockchain research resources.
• A collaborative and innovative work environment. 

Join us and help shape the future of AI-driven blockchain automation!

Job Description

● Strong Python skills

● Strong working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

● A successful history of manipulating, processing and extracting value from large disconnected datasets

● Experience building and optimizing data pipelines, architectures and data sets

● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

● Strong analytic skills related to working with unstructured datasets

Technologies:

• Python
• AWS: SES, RDS (MySQL), EC2, ECS, VPC, etc
• Snowflake
• Docker
• dbt
• Airflow

Job Responsibilities

● Manage and optimize core data infrastructure

● Develop custom data infrastructure not available off-the-shelf

● Build monitoring infrastructure to give visibility into the pipeline’s status

● Monitor all jobs for impact on cluster performance

● Run maintenance routines regularly

● Tune table schemas to minimize costs and maximize performance

● Build and maintaining custom ingestion pipelines

● Build non-SQL transformation pipelines

● Build processes supporting data transformation, data structures, metadata, dependency and workload management

Department/Project Description

GlobalLogic is partnering with a US-based digital health company, whose mission is to connect people in social interactions for the health conversations, build online health communities to support each other and share knowledge about how to deal with the disease

About client:
Our Client is the fast-paced digital healthcare company which creates the growing portfolio of online health communities for people with chronic conditions. Company’s mission is to improve patient’s quality of life by connecting them with each other, with caregivers and healthcare industry partners, building beneficial social interactions and meaningful health conversations. 

About project:
The core of the project is working with the data; the target is to re-design and enhance data-driven solutions. The team is responsible for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into product and marketing insights. If you are excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives, we would be thrilled to have you apply!