Jobs

Join a Company That Invests in You

Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

🎯 Role Overview:

As TrueLabel’s Head of Payments you will become the driving force of our team! You’ll get to travel and meet partners, all while leading our payments strategy, performance, and operations end-to-end. Your mandate: deliver best-in-class approval rates and customer experience at the lowest possible cost—while keeping us compliant, scalable, and ready for new markets.

⚙️Your Tasks:​
 

• Strategy: Scale payment solutions for Tier 1 & Tier 2 GEOs;
• Partnerships: Source, negotiate, and integrate new PSPs, Acquirers, and APMs;
• Optimization: Maximize Success Rates and minimize transaction costs/latencies;
• Risk Management: Oversee anti-fraud, chargebacks, and compliance (AML/KYC);

• Analysis: Monitor P&L per payment method and provide data-driven reports.

   

👤Our criteria:
 

• 3+ years in a senior Payments role within iGaming/Gambling;
• Expertise in High-Risk processing (Cards, P2P, Crypto);
• Strong network of active contacts with PSPs and acquiring banks;
• Experience with Tier 1 & Tier 2 regulatory and payment landscapes;
• Upper-Intermediate English and strong negotiation skills.

💼 Our offer:
 

• Flexible work setup - work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment - we compensate coworking expenses and EcoFlow power stationsto help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support - we cover 50% of professional courses and development programs;
• Language & wellbeing support - we cover 50% of English classes and psychological consultations;
• Career growth opportunities - we prioritize internal promotions and development;
• Team culture that actually feels like one - regular gifts, company merch, and team events throughout the year;
• Real impact - we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

Level: Senior E

ngagement: Long-term contract 

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.

We’re building and scaling a high-volume, performance-driven newsletter portfolio and are looking for a Senior Email Marketing Manager to fully own newsletter growth, engagement, and monetization.

This role is for someone who understands newsletters as a revenue channel, not just a publishing task.

You’ll work closely with authors, AI writers, designers, and monetization partners to ensure every send is optimized for opens, clicks, and revenue, while maintaining strong editorial quality.

Your primary mission:
 

Key Responsibilities

Email & Newsletter Performance Ownership

• Own end-to-end newsletter strategy, publishing, and optimization
• Optimize subject lines, preheaders, layouts, CTAs, and content flow
• Maintain consistent, high-quality publishing schedules across all newsletters
• Review, QA, and approve all outgoing content before sending

 Monetization & Advertising Optimization

• Integrate ads natively within newsletters to maximize CTR and revenue
• Test ad placements, formats, and messaging without harming reader trust
• Analyze performance and continuously improve monetization strategy

Scaling & Team Leadership

• Collaborate closely with writers, AI tools, designers, and growth teams
• Build repeatable processes, guidelines, and quality standards
• Provide weekly performance insights and improvement recommendations
   

Requirements

• Strong experience in email marketing
• Deep understanding of email performance metrics: open rate, CTR, conversions, revenue per send
• Hands-on experience managing multiple email campaings at scale
• Comfortable using AI tools
• Strong editorial and layout instincts (formatting, hierarchy, readability)
• Excellent organization — able to manage 15–20+ newsletters simultaneously
• Strong QA mindset: zero tolerance for broken links, typos, or formatting errors
• High level of English: C1
   

Nice to Have

• Experience with platforms like Beehiiv, Substack, Ghost
• Experience working with ad monetization, sponsorships, or affiliate content
• Background in content-led growth or digital publishing
• Experience scaling multiple content brands or media products

Job Description

• Strong production experience with Flutter and Dart for iOS and Android.
• Mobile architecture, state management such as BLoC/Cubit, dependency injection, modular components, and maintainable API boundaries.
• REST API integration, asynchronous workflows, secure local storage, authentication, and application security.
• Bluetooth Low Energy and connected-device integration experience.
• Ability to investigate native issues in Swift/iOS and Kotlin/Android; experience with Flutter platform channels is valuable.
• Unit, widget, integration, and hardware-assisted testing.
• Mobile CI/CD, GitHub Actions, Fastlane, TestFlight, and Google Play delivery.
• Experience with regulated, healthcare, safety-critical, or privacy-sensitive software is highly desirable.
• Web frontend experience is useful but secondary to strong Flutter/mobile expertise.

Job Responsibilities

• The candidate should be comfortable working in a small team close to the business, translating evolving requirements into technically sound increments, and making pragmatic decisions when complete information is unavailable. We value engineers who communicate risks early, challenge unsafe assumptions, propose discovery spikes where needed, and can adapt or re-scope work based on technical evidence.
• Manage the software design and coding from concept to finished product
• Participation in agile team ceremonies
• Continuous learning

Department/Project Description

We are looking for a Senior Flutter Engineer to join a small, hands-on team developing a regulated medical mobile product and its connected-device integrations. The engineer will work closely with engineering leadership, product, and business stakeholders, taking ownership from technical discovery through production
delivery.

You will work on a healthcare technology platform where mobile and backend software directly support a medical device used to treat pain in real-world clinical settings. The system already has active users and production constraints, and the focus of the project is to strengthen its technical foundation, improve reliability, and fix critical user-facing issues that affect authentication, session stability, notifications, and accessibility.

Are you passionate about building production-grade AI systems that continuously learn and improve from real-world feedback? We are looking for a Senior ML Engineer / Data Scientist to help develop intelligent recognition and entity-matching solutions for a large-scale media data platform.

In this fully remote role across Europe, you will work with Large Language Models, evaluation frameworks, and cloud-based ML pipelines to improve automation quality and reduce manual processing efforts. You will collaborate closely with Data Engineering teams and Customer stakeholders while owning the ML lifecycle end-to-end.

We at Sigma Software create impactful technology solutions for global customers and provide engineers with opportunities to work on meaningful, high-scale products using modern AI technologies. This role offers significant ownership, challenging engineering tasks, and the ability to influence production AI systems at scale.
 

Customer

Our Customer operates a large-scale platform focused on processing and structuring advertising and media operational data. The company is actively investing in intelligent automation and machine learning solutions to improve recognition accuracy across multiple station and network layouts while minimizing manual intervention in data processing workflows.
 

Project

The project focuses on building a self-learning Postlog and Prelog recognition system capable of automatically understanding new layouts, extracting structured data, and improving from production feedback. The solution leverages Large Language Models and modern ML practices to optimize recognition quality, entity matching, and confidence-based automation.

You will contribute to the development of scalable AI-driven workflows designed to achieve high automation accuracy, observability, and operational efficiency in production environments.

Responsibilities

• Design and develop a self-learning Postlog and Prelog recognition system using modern ML and LLM techniques
• Build and maintain versioned prompts, evaluation datasets, and few-shot exemplars
• Apply production-grade LLM practices including schema-constrained extraction, grounding strategies, and low-confidence fallback handling
• Improve recognition quality and optimize layout and header mapping performance
• Analyze production failures and enhance prompts, retrieval pipelines, and model behavior
• Run evaluation pipelines and shadow-mode comparisons against legacy systems and gold datasets
• Monitor confidence scores, latency, operational quality, and infrastructure costs
• Develop entity-matching systems for Station, Advertiser, and CreativeID master data
• Implement confidence scoring, thresholding, and auditability mechanisms
• Transform human and machine corrections into labeled signals for continuous model improvement
• Monitor prompt and model drift in production environments
• Collaborate with Data Engineering teams on ML integration and operationalization
• Communicate technical findings and recommendations to engineering teams and Customer stakeholders

Requirements

• At least 5 years of experience in Machine Learning, Data Science, or ML Engineering
• Proven experience delivering ML models or LLM-powered systems into production
• Strong hands-on experience with Large Language Models in real products or pipelines
• Deep understanding of prompt engineering, prompt versioning, evaluation methodologies, and grounding strategies
• Experience handling low-confidence scenarios and optimizing cost and latency for LLM systems
• Strong Python and SQL skills
• Solid knowledge of statistics, confidence estimation, sampling, hypothesis testing, and threshold optimization
• Experience with classification, ranking, matching, or recommendation-related problems
• Understanding of offline evaluation metrics, holdout validation, and production monitoring
• Hands-on experience with AWS cloud services including S3, IAM, CloudWatch, and orchestration services
• Strong communication and collaboration skills
• Upper-Intermediate English level or higher
   

Will be a plus

• LLM-related certifications
• Experience with Amazon Bedrock or equivalent enterprise LLM platforms
• Production experience with Claude/Sonnet-class models
• Experience with Excel or layout extraction systems
• Knowledge of confidence calibration, active learning, or weak supervision techniques
• Experience with cost-aware LLM operations including caching, routing, and fallback models
• Advertising or media domain knowledge
• Familiarity with Glue, Airflow, or similar orchestration and data pipeline tools

Main Responsibilities – Engineering Team
 

• Maintenance and further development of existing platform services
• Development of new backend features and services
• Backend development with TypeScript, Node.js and NestJS
• Development and operation of AWS-based services
• Working with microservice and event-driven architectures
• Taking ownership of existing production services
• Analysis and reverse engineering of existing applications
• Working with legacy code and historically grown systems
• Production troubleshooting and incident resolution
• Ensuring stability and reliability of production applications
• DevOps and operations activities
• Monitoring, logging and observability
• Technical modernization and reduction of technical debt
• Performance optimization
• Proactive identification of architectural and operational improvements
• Selected frontend/full-stack tasks using React

Critical Must-Haves – Engineering Team

• TypeScript
• Node.js
• NestJS
• AWS
• Microservices
• Event-driven architectures
• AWS EventBridge
• AWS SQS
• PostgreSQL
• Production cloud applications
• Legacy systems
• Reverse engineering
• Modernization of existing applications
• DevOps
• Operations
• Incident Management
• Production troubleshooting
• Monitoring
• Observability
• Experience taking ownership of existing production services
• High seniority level across the team
• React - required within the team: at least 1–2 engineers must be able to cover React-based full-stack tasks.
  
  This is primarily a backend/platform project, not a classical full-stack project.
  
  Start: mid-October/November
  Duration: 6 months + possible extension
  Workload: By agreement, 120–160 hours/month per resource, depending on the proposed profile and team composition
  Team size: 4 developers + 1 Engineering Manager, 5 people in total
  Location: EU (remote) !!!
  Language: English

Smarter is a management company responsible for defining the overall strategy of investment activities and ensuring optimal management and development strategies for each business unit within the group. The main areas of activity and focus of our company include the international fintech community SFORS (https://sfors.com), the brokerage company Statok (https://statok.global), and the product company Pine Software (https://pinesoftware.com.cy)

The Head of Security is responsible for the comprehensive protection of the Group’s and the Owner’s assets, information, and interests by establishing an integrated security system—encompassing financial-economic, information, internal, and physical security—that minimizes the risks of loss, fraud, and external threats while supporting the stability and value growth of the asset portfolio.

Responsibilities

1. Corporate & Enterprise Security

• Developing, updating and implementing the company’s global security strategy in line with business objectives.
• Establishing an effective security governance framework and developing corporate security policies.
• Assessing, structuring and managing corporate risks (Enterprise Risk Management).
• Protecting the company’s physical, information, financial and reputational assets.
• Transforming and developing the security culture within the company.
• Advising the Executive Team and the Board on strategic security and risk-related decisions.

2. Physical Security & Crisis Management

• Organising comprehensive physical security for offices, sites, facilities and personnel.
• Monitoring and modernising access control systems, CCTV, security and emergency response systems.
• Developing and regularly testing crisis response scenarios (including those specific to martial law, relocation and blackouts).
• Management of travel security and executive protection processes (where required).

3. Personnel Security & Background Checks

• Organisation and automation of background verification processes for candidates, employees and third-party vendors.
• Assessment of potential reputational, compliance and fraud risks.
• Development and implementation of employee screening and insider risk management procedures (to prevent internal leaks and sabotage).
• Effective collaboration with the HR and Legal departments when resolving sensitive cases.

4. Fraud Prevention & Internal Investigations

• Designing and auditing systems to prevent fraud, corruption and internal misconduct.
•  Organising and conducting independent internal investigations.
•  Identifying conflicts of interest, industrial espionage, financial fraud and leaks of trade secrets.
•  Developing preventive controls and tools for monitoring operational risks.
•  Leading the Incident Response process (responding to security incidents).

5. Information Protection & Insider Risk Management

•  Ensuring the security aspects of processes involving the handling of confidential information and trade secrets.
• Developing and implementing measures to prevent insider threats.
• Monitoring compliance with internal requirements for handling sensitive information.
•  Participating in the investigation of information leaks, breaches of NDAs and other incidents related to human error.
•  Assessing security risks associated with counterparties, partners and third-party contractors.

6. Risk Management & Business Continuity

•  Developing and maintaining procedures for responding to security incidents.
•  Preparing and conducting training sessions, drills and crisis simulations.
• Coordinating actions during incidents relating to physical, personnel or corporate security.
• Participating in post-incident analysis and the development of corrective measures.
• Preparing recommendations to enhance the company’s preparedness for security threats.

7. Compliance & Governance

• Monitoring compliance with internal security policies and external compliance requirements.
• Fostering constructive collaboration with the Legal and Audit functions, government and law enforcement agencies, as well as external stakeholders.
• Participating in the development and oversight of policies relating to data protection, confidentiality (NDAs) and acceptable use.
• Preparing regular security reports and dashboards for executive leadership."

Requirements

• Experience: At least 5 years in roles such as Head of Security, Director of Corporate Security or Enterprise Risk Manager within established organisations (mature mid-market or enterprise-level).
• Expertise: A deep understanding of how physical, operational, personnel and financial security function within a modern business.
• Management skills: Experience of building security processes, regulations and policies ‘from scratch’ or completely transforming them to suit the new scale of the business.
• Crisis management: Practical experience of incident handling and coordinating actions in stressful, uncertain situations.
• Business focus: Skills in engaging with executive stakeholders. The ability to defend budgets and decisions using the language of figures, risk analysis and business opportunities, rather than the language of ‘restrictions’.
• Technical literacy: An understanding of the basic principles of information security and modern digital risks. The ability to interact effectively with IT and other technical functions within the company.
• Personal qualities: An impeccable reputation, high ethical standards, emotional intelligence, well-developed strategic thinking and absolute discretion.

Nice to have

•  Experience of working in international companies or matrix organisations.
•  Experience of managing security in high-risk environments or geographically dispersed teams/branches.
•  Professional certifications (e.g. ASIS CPP, CISM, risk management or audit certifications).
•  Knowledge of international practices and standards in the field of corporate security, risk management and internal controls (ISO 31000, ISO 22301, ISO 27001 would be an advantage).
•  Experience of professional and effective interaction with law enforcement or military organisations.

Company offers

• Care from Day One — medical insurance from your first day, including dental care, massage, and professional psychological support.
• Work-Life Balance — 21 days of paid vacation + 30 days of paid sick leave.
• Knowledge Library — office books and access to the Kuka online library. 
• Investment in Your Energy — partial reimbursement for sports and fitness activities.
• Modern Workspaces with full power-backup infrastructure in Larnaca, Cyprus.
• Island Relaxation — up to 14 days per year at the company villa in Cyprus. 

‍

Join the Smarter team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!
 

Smarter is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note that only shortlisted candidates will be contacted. Thank you for considering Smarter as your next career move!!

Ми шукаємо Senior Software Engineer, який долучиться до розвитку платформи для AI Agents нідерландської технологічної компанії та працюватиме на перетині AI Agents, Full-stack Development і Cloud Infrastructure.

Ви будете розробляти production-рішення end-to-end від технічної специфікації та архітектури до реалізації, тестування й deployment.

Що важливо:

- 5+ років комерційного досвіду у software engineering.
- Сильний Python або TypeScript / Next.js та готовність працювати з обома напрямами.
- Досвід розробки API, PostgreSQL, data models, migrations та access control.
- Досвід роботи з cloud production systems, containers, CI/CD та configuration management.
- Здатність працювати з існуючим mature codebase / monorepo.
- LangGraph, LangChain або інший agent framework у production.
- Досвід роботи з LLM-powered продуктами.
- Upper-Intermediate англійська для щоденної письмової та усної комунікації.

Буде плюсом:

- GCP, Terraform.
- Next.js App Router, Prisma, Auth0 / NextAuth.
- Gemini / Vertex AI, Langfuse / LangSmith.
- Досвід із PDF/document processing, OCR або table extraction.

Що потрібно робити:
 

- Розробляти та покращувати AI agent workflows на базі LangGraph / LangChain.
- Працювати з LLM, structured outputs, validation та AI extraction pipelines.
- Розвивати web-продукт на Next.js / React / TypeScript.
- Працювати з Python, API, PostgreSQL, Prisma.
- Розгортати та підтримувати production-системи в GCP.
- Працювати з Terraform, Docker, GitHub Actions, CI/CD.
- Дбати про якість, тестування, observability та надійність production-систем.

Ми пропонуємо:

- Remote work
- Конкурентну заробітну плату
- Роботу над реальним AI-powered продуктом у міжнародній команді.
- Високий рівень технічної автономності та ownership.
 

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams. 

We are looking for a Java Technical Lead to join a long-term international project focused on consulting, development, and enhancement of an application supporting complex sales processes.
 

In this role, you will act as the Single Point of Contact (SPOC) for the Sii team, working closely with customer stakeholders and coordinating technical activities within a team of four engineers. While this is not a leadership role for the entire project organization, you will be responsible for providing technical guidance, driving architecture and development decisions, and ensuring smooth collaboration between the customer and the Sii delivery team.

This is an excellent opportunity for a senior engineer who combines strong hands-on development expertise with consulting, communication, and technical leadership skills.

Your tasks:
 

• Act as the primary technical contact and SPOC for the Sii team, facilitating collaboration with customer stakeholders and supporting consulting activities.
• Lead the design, development, and further enhancement of applications supporting complex sales processes, providing technical guidance and mentoring to the development team.
• Develop and maintain backend solutions using Java and Spring Boot, support frontend development in Angular, and contribute to system integrations based on SOAP and REST services.
• Work with Azure AD and OpenID Connect to ensure secure authentication and authorization mechanisms across the application landscape.
• Manage and optimize application delivery processes using GitLab Pipelines, maintain automated end-to-end tests with Cypress, and promote software quality best practices.
• Support data integration and interoperability activities involving SAP IDoc, XML, WSDL, and JSON structures, while contributing to infrastructure-related topics when required.

Requirements:
 

• Strong experience in Java development, including Spring Boot, gained in complex enterprise environments.
• Practical knowledge of Angular, PostgreSQL, SOAP and REST-based integrations.
• Experience with Azure AD, OpenID Connect, CI/CD processes, and GitLab Pipelines.
• Hands-on experience with automated testing, preferably Cypress E2E.
• Understanding of enterprise integration standards and data structures such as SAP IDoc, XML, WSDL, and JSON.
• Previous experience as a Technical Lead, Team Lead, Lead Developer, or a senior engineer coordinating development activities and stakeholder communication.
• Strong consulting, communication, and problem-solving skills.
• German at B2 level or higher is mandatory; English proficiency is also required.
• Experience with infrastructure-related topics is considered a strong advantage.
• Tax residency in Ukraine is required.

We work with iGaming operators of all sizes to help them expand into new markets or strengthen their existing brands. As a casino software company, we provide solutions that help build outstanding brands and achieve business goals. Now, we are looking for a Senior DevOps Engineer to join our team.
 
What will be your responsibilities:
 

• Design, build, and optimize high-load, highly available server-side platforms (Nginx, PHP-FPM, MySQL, Redis, message queues).
•  • Architect and maintain Kubernetes-based platforms and containerized workloads (Docker, Helm, GitOps).
•  • Design and operate secure network infrastructure:
•  – firewalls (iptables, UFW, security groups, NACLs)
•  – reverse proxies and L7/L4 load balancers
•  • Implement DDoS protection and WAF strategies (Cloudflare, rate-limiting, bot protection).
•  • Build and maintain observability stack:
•  – metrics (VictoriaMetrics, Prometheus)
•  – APM (New Relic, OpenTelemetry)
•  – centralized logging and alerting
•  • Design, implement and continuously improve CI/CD pipelines (Jenkins, GitHub Actions).
•  • Automate infrastructure and platform lifecycle using IaC and configuration management.
•  • Participate in architecture design, reliability engineering and capacity planning.
•  • Ensure security, compliance and audit readiness (PCI DSS, secrets management, access control).

 
What we expect from you:
 

• Strong hands-on Linux expertise (Debian, Ubuntu, systemd, networking, performance tuning).
• • Deep experience with AWS:
•  – compute (EC2, ASG, EKS)
•  – networking (VPC, LB, peering)
•  – managed databases (RDS Aurora)
•  – messaging (SQS, Kafka).
•  • Strong database operations knowledge: MySQL HA, replication, backup.
•  • Production experience with Kubernetes (cluster architecture, HA, upgrades, disaster recovery).
•  • Advanced CI/CD experience: Jenkins, GitHub Actions, GitOps practices.
•  • Strong Cloudflare expertise: DNS, CDN, WAF, DDoS protection.
•  • Infrastructure as Code: Terraform (mandatory), Ansible (configuration and automation).
•  • Scripting and automation in Bash and Python.
•  • Solid understanding of networking and security fundamentals (TLS, IAM, VPN, firewalling, zero-trust).
•  • Experience working in regulated environments or with security standards (PCI DSS is a plus).

 
What we offer:
 

We believe that a happy team builds the best products. Here is how we support you:
 

• Remote & Flexible: Work from anywhere. Our core hours are 10:00 to 18:00 (Kyiv time), Mon-Fri.
• Financial Stability: Timely payment for compensation for services
• Personal Equipment Policy: equipment are provided for use to ensure comfortable and efficient work.
• Knowledge Sharing: We regularly gather to discuss new trends, share insights, and elevate one another.
• Community: At NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: We encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: A friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

We believe in unlocking the inner potential of each team member within an open and democratic culture.

Waiting for you on our team!

Our Customer is an international company operating in the AdTech industry. The company develops enterprise-grade solutions that help advertisers and media businesses efficiently manage, automate, and optimize digital advertising campaigns at scale. The platform supports complex operational workflows, media handling, and campaign performance management for global advertising operations.

PROJECT

The project is a large-scale advertising campaign management platform that supports the entire lifecycle of digital advertising operations, including campaign setup, line-item management, creatives processing, forecasting, SLA tracking, and integrations with external advertising ecosystems.

The solution includes advanced media-processing functionality such as video transcoding and image validation. The engineering team works on performance-critical enterprise systems with complex business logic, scalability challenges, and multiple third-party integrations.

Job Description

• Design, develop, and maintain scalable Full Stack solutions using Java, Spring, and Angular
• Develop and support complex business logic related to advertising campaign management
• Participate in architecture discussions and contribute to technical solution design
• Build reliable, maintainable, and high-performance enterprise applications
• Improve system scalability, reliability, and overall platform performance
• Integrate with external advertising and media-related services
• Write clean, maintainable, and well-tested code following engineering best practices
• Collaborate with developers, Architects, QA engineers, and Project Managers
• Take ownership of technical challenges and proactively drive solutions
• Contribute to continuous improvement of development processes and engineering standards

Qualifications

• 5+ years of commercial software development experience
• Strong hands-on experience with Java and Spring Framework
• Strong practical experience with Angular
• Experience building scalable enterprise-level applications
• Experience with AWS cloud services
• Good understanding of software engineering principles and system design
• Experience working with REST APIs and integrations
• Ability to work independently and proactively solve technical challenges
• Strong analytical and problem-solving skills
• Experience writing maintainable and testable code
• Good communication and collaboration skills
• Upper-Intermediate or higher level of English

WILL BE A PLUS

• AI-native development experience
• Experience using AI-powered development tools such as Claude or Codex
• Experience with Jenkins
• Experience with Terraform
• Experience working with complex enterprise platforms
• Experience in AdTech, MarTech, or media-related domains

PERSONAL PROFILE

• Proactive and ownership-driven mindset
• Strong problem-solving orientation
• Ability to work independently in a distributed team environment
• Focus on quality and continuous improvement
• Willingness to participate in technical discussions and contribute ideas
• Strong communication and collaboration skills

We are looking for a senior frontend engineer to build high-performance 3D scientific visualization directly in the browser.

You will work at the intersection of frontend engineering, GPU programming, and large-scale data visualization. The core challenge is making complex 3D and time-varying datasets interactive in the browser without requiring users to download or fully load them first.

What you will do

• Build browser-based 3D visualization using TypeScript and WebGPU.
• Render large meshes, point clouds, volumetric fields, and other scientific data.
• Integrate visualization with asynchronous and random-access data streaming.
• Design efficient GPU buffer management, caching, and incremental scene updates.
• Build React-based UI around the visualization experience.
• Profile and optimize CPU, GPU, memory, and network performance.

• Work closely with systems, backend, and GPU engineers on end-to-end data delivery.

   

What we are looking for

• Strong production experience with TypeScript / JavaScript.
• Practical experience with WebGPU, or deep WebGL experience with an interest in moving to WebGPU.
• Strong understanding of performance optimization in browser applications.
• Experience with React or another modern frontend framework.
• Good knowledge of vector math, coordinate systems, cameras, transforms, and spatial data structures.

Nice to have

• Experience with Three.js, Babylon.js, vtk.js, React Three Fiber, or custom rendering engines.
• WGSL, GLSL, CUDA, Vulkan, DirectX, or Metal experience.
• Scientific visualization experience with ParaView, VTK, VisIt, or similar tools.
• Volume rendering, isosurfaces, unstructured meshes, point clouds, particles, or large geometry.
• LOD systems, spatial partitioning, octrees, BVHs, or GPU-driven rendering.
• Background in CAD, simulation, geospatial, medical imaging, games, or visualization software.

🚀 We're Hiring: PPC & SEM Campaign Manager Home Services | US Market | Full-Time | PST Hours

We're a performance-driven digital marketing agency specializing in home services and construction lead generation for the US market. We're looking for a hands-on Campaign Manager who owns results end to end — from strategy to the qualified phone call.

This is not a role for someone who only knows how to run ads. We need someone who understands the full journey: from search intent to phone call, from phone call to qualified opportunity, from opportunity to real revenue for a local service business.

⚠️ Non-Negotiable Requirements — Please Read Before Applying: → Full-time availability during US PST working hours 

→ Native-level English — written and verbal, non-negotiable 

→ Proven hands-on experience with the US market across Google, Meta, Bing, and native 

→ Solid, verifiable work history — not freelancers filling time between gigs 

→ Home services / construction experience required — e-commerce, SaaS, or fintech background alone is not enough

What you'll own: 

→ Plan, build, and manage paid campaigns across Google Ads, Meta, Microsoft/Bing, Taboola/Outbrain, Yelp Ads, Google Local Services Ads, and Nextdoor/LinkedIn as needed 

→ Create and optimize full-funnel lead generation strategies — audience targeting, ad copy, landing pages, tracking, and lead-nurturing funnels 

→ Monitor performance and continuously improve KPIs — cost per lead, lead quality, conversion rate, and ROI (not just clicks) → Own setup and integrity of conversion and call tracking so every lead is measured accurately 

→ Stay current on platform updates, A/B testing strategies, and market trends in home services 

→ Build repeatable systems, SOPs, reporting structures, QA processes, and campaign management workflows that allow the team to scale without losing quality 

→ Maintain strict QA discipline before every launch — budgets, geo-targeting, tracking, landing pages, phone numbers, forms, conversion actions, and campaign settings

AI & Automation — Core to This Role: 

→ Use AI to draft, test, and iterate ad copy and creative concepts at speed — with the judgment to edit and direct that output, never paste it raw 

→ Use AI for audience and keyword research, competitor analysis, and market intelligence 

→ Build reporting and analysis workflows that turn raw platform data into clear, decision-ready insights 

→ Be fluent in platform-native AI: Google Performance Max & Smart Bidding, Meta Advantage+, and AI-assisted creative — knowing when to trust automation and when to override it 

→ Build repeatable AI and automation systems using tools like Make.com, Zapier, or Google Apps Script to eliminate manual, repetitive work

Tracking & Attribution: 

✅ Hands-on with call tracking (CallRail or similar) and call-driven conversion measurement 

✅ Strong with GA4, Google Tag Manager, and conversion tracking across platforms 

✅ Familiar with offline conversion imports and server-side tracking to feed real lead quality back into platforms 

✅ You care what happens to a lead after the click — not just the cost of the click

Must-Haves: 

✅ Proven track record managing paid media campaigns targeting the US market 

✅ Deep knowledge of the home services vertical — remodeling, HVAC, solar, roofing, garage doors, windows, etc. 

✅ Demonstrated success generating high-quality leads at scale — measured by qualified leads and CPL, not vanity metrics 

✅ Experience building and managing end-to-end ad funnels from cold traffic to converted lead 

✅ Hands-on proficiency with Google Ads, Meta Ads Manager, Microsoft/Bing Ads, native platforms, and Google Tag Manager 

✅ Native-level English — strong written and verbal communication 

✅ Experience with Yelp Ads and Google Local Services Ads (LSA) — strong advantage 

✅ Familiarity with automation and lead-nurturing platforms — major plus

Who You Are: 

→ Independent, proactive, and execution-driven — you don't wait to be told what to do 

→ Data-minded but creative — constantly testing, iterating, and pushing performance boundaries 

→ You embrace AI and automation as tools for scale and smarter decisions — not as a gimmick or a crutch 

→ You think like a strategist and work like an operator 

→ You want to help small businesses grow — energized by making a real difference for an SMB owner, not by chasing the biggest budget

→ Loyal, analytical, hungry for results, and excited to grow as part of a small, sharp, accountable team

This role is NOT for you if: 

✖ Your background is primarily e-commerce/DTC, SaaS, or fintech 

✖ You rely on grey-hat or aggressive black-box agency tactics 

✖ You only want to direct strategy from above — we need someone hands-on, detail-oriented, willing to build, check, fix, test, and improve directly 

✖ You're a freelancer looking to fill time between gigs