Jobs

We are looking for a strong Java-focused SDET who is comfortable working close to the application code. Not only a test writer, but someone who can design and extend automation infrastructure. Able to understand how another application consumes the SDK / DevKit and convert those flows into stable integration tests.

Comfortable debugging complex Java behavior, reading production code, and discussing implementation details with developers.

Strong enough technically to help choose and implement the right Swing UI automation approach.

• Responsibilities:

  - Design, implement, and maintain Java-based integration tests for a geoscience data management application.
  - Simulate real product usage through the application's SDK / DevKit layer.
  - Analyze SDK-level calls from consuming applications and convert them into automated integration test scenarios.
  - Create and maintain unit tests using JUnit and related Java testing tools.
  - Validate data retrieval, consistency, error handling, and compatibility across database-backed workflows.
  - Contribute to the design of a Swing UI automation approach for Windows and Linux.
  - Investigate test failures, debug Java code, analyze logs, and provide clear root-cause findings.
  - Integrate automated tests into CI/CD pipelines and improve overall test stability and maintainability.

• Mandatory Skills Description:

  - Strong hands-on experience with Java.
  - Solid understanding of object-oriented programming, clean code principles, and maintainable test architecture.
  - Experience with JUnit, AssertJ, Mockito, or similar Java testing tools.
  - Solid experience designing unit/integration/E2E tests for complex Java applications.
  - Experience with JNI
  - Ability to test through SDKs, DevKits, APIs, or internal service layers.
  - Good SQL knowledge and experience with relational databases.
  - Strong debugging skills in Java applications.
  - Experience with Maven or Gradle.
  - Experience with Git and CI/CD pipelines (preferably, Gitlab CI).
  - Proficiency with AI tools
  - Ability to analyze API calls, data flows, logs, and application behavior to convert real usage scenarios into automated tests.

• Nice-to-Have Skills Description:

  - Java Swing UI automation.
  - Experience with Java Access Bridge, AssertJ Swing, or similar tools.
  - Basic exposure in C++
  - Cross-platform testing on Windows and Linux.
  - JVM instrumentation, reflection, Java agents, or injecting test/control logic into a running Java application.
  - Experience building custom test automation frameworks.
  - Experience testing SDKs, libraries, plugins, or developer-facing APIs.
  - Isolated database test environments.
  - Experience with geoscience, seismic, well data, or enterprise data management systems.

About the company: A product international fintech company that has been working with global banks and funds since 2011. It provides a low-latency gateway allowing instant transactions on global currency exchanges. The company works with microwave transmitters and other hardware solutions to reduce signal processing time. It offers its clients hosting services for automated trading equipment.

Work format: Remote.

Required experience:

• Experience deploying infrastructure from scratch and maintaining it for data projects
• Experience administering and supporting time-series databases at a production level

• Hands-on experience with at least one of the following databases: ClickHouse, InfluxDB, ScyllaDB/Cassandra, or KDB+ (experience with other time-series/NoSQL solutions will also be considered)

   

Nice to have:

• Experience making architectural decisions for building data infrastructure (technology selection, storage schema design, scaling)

   

Responsibilities:

• Selecting, installing, configuring, and scaling databases
• Designing data schemas and storage strategies for large volumes of data
• Building and tuning complex queries to calculate business metrics (Effective Spread, Last Look Hold Times)

• Training GUI developers and the team on working with data, acting as a subject matter expert

   

The company offers:

• 15 working days of vacation + public holidays off
• 10 sick days
• Medical insurance compensation
• Equipment

Delasport — Implementing Technological Solutions Here and Now

Delasport is an iGaming software company providing Sports Betting & Online Casino software and turnkey B2B solutions. Since 2010, we have made a significant impact on the industry, earning awards and expanding our global presence. With offices in Bulgaria, Ukraine, and Malta, our team of more than 500 experts continues to drive innovation and strive for excellence. We are looking for top talent to join our R&D center in Kyiv.
 

RESPONSIBILITIES

• Manage and maintain our cloud infrastructure on Google Cloud Platform (GCP) to ensure high availability, scalability, and security
• Design, build, and manage containerized environments using Kubernetes for deploying and orchestrating microservices
• Collaborate with software development teams to streamline the CI/CD pipeline and implement automated build, test, and deployment processes
• Develop and maintain infrastructure as code (IaC) using Terraform to automate the provisioning and configuration of cloud resources
• Implement and manage configuration management tools such as Ansible to ensure consistent and efficient deployment across environments
• Monitor system performance and identify potential bottlenecks, taking proactive measures to optimize and improve overall system reliability
• Troubleshoot and resolve issues related to infrastructure, applications, and deployments in a timely manner
• Participate in the on-call rotation with the DevOps team, responding to alerts and incidents outside of regular business hours

• Stay up-to-date with the latest industry trends and best practices related to DevOps, cloud computing, and containerization
   

  REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Resilient and flexible mindset, open to changing priorities and adapting to new challenges and technologies as the business evolves
• 3+ years of experience as a DevOps Engineer or similar role with hands-on experience in Google Cloud Platform (GCP)
  Strong knowledge of containerization technologies, particularly Kubernetes, and experience managing containerized environments
• Proficiency in infrastructure automation using Terraform to provision cloud resources.
  Strong knowledge of configuration management tools, such as Ansible
• Solid understanding of CI/CD concepts and experience implementing CI/CD pipelines
• Familiarity with version control systems (e.g., Git) and their integration with CI/CD pipelines
• Strong knowledge of scripting languages (e.g., Bash, Python) for automation tasks
• Experience with monitoring and logging tools to ensure the health and performance of systems
• Strong problem-solving skills and the ability to work effectively in a team-oriented, collaborative environment
• Upper-Intermediate English level
  
  WHAT WE CAN OFFER YOU
• Modern office in Podil with an uninterruptible power supply and the Internet
• Personal time off (21 business days of paid vacation, paid days on special occasions, sick leaves, emergency days off)
• Public holidays
• Health and life insurance with our broker, available starting from the month following the employee’s start date with the company
• Modern technical equipment
• English courses with native speakers
• Ukraine-based educational programs
• Sports activities reimbursement
• Corporate entertainments
• Happy hours on Fridays
• Gig contract support

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients that is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). 
  The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop.
  We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems. This should cover low latency access and Streaming, Push / Pull mechanisms depending on the type of consumers.
  The role of the Senior Java Developer involves working with strong development teams (3 Senior Java Developers), the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems

• Mandatory Skills Description:

  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of the Java programming languages
  • Understanding Java dependency injection frameworks, preferably Spring
  • Strong SQL skills
  • 1+ year of Big data development with extensive hands-on experience with Spark programming
  • Strong knowledge of big data technologies like Hadoop (Hive) and Spark
  • Understanding Data governance
  • Should be familiar with algorithms and design patterns
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  • Familiarity with the Linux environment, including scripting skills

• Nice-to-Have Skills Description:

  • Databricks and cloud services, preferably aws/gcp
  • Experience with in-memory databases and caching
  • Data modeling: fact, dimension tables, SCD
  • Understanding of open table formats: iceberg, delta lake, hudi
  • Understanding of open file formats: parquet, orc
  • Job Orchestration tools like Autosys or Airflow
  • Financial background (where possible)

• Languages:
  • English: B2 Upper Intermediate

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities:

• Design and build frameworks for ingesting/modeling the complex Risk data
• Develop Low latency caching to service Front office risk systems
• Setup monitoring and management for services
• Provide SME support for development of automated QA scripts
 

Mandatory Skills:

• Strong knowledge of Big Data technologies Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark
• At least 5 years of experience in software development, including professional backend software development experience;
• Strong Knowledge of Java programming languages
• Should be familiar with algorithms and design patterns
• Familiarity with Linux environment, including scripting skills
• Designing and building APIs (Java);
• Java Server-side or Back-end development;
• Core Java;
• Java collections and multithreading;
• Java Memory Management;
• Database and SQL (writing stored procedures, designing table schemas).
• Understanding of distributed systems.
• Understanding of CI/CD workflow.

• Ability to multi-task and work under pressure.
• Ability to pick up new concepts and apply the knowledge.
• Demonstrated problem-solving skills.
• Enthusiastic and proactive approach with a willingness to learn.
• The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice-to-Have Skills:

• Experience In-memory databases and caching
• Job Orchestration tools like Autosys or Airflow
• Apache Spark
• Financial background (where possible)

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

• Nice-to-Have Skills Description:

  • Experience In-memory databases and caching
  • Job Orchestration tools like Autosys or Airflow
  • Apache Spark
  • Financial background (where possible)

We are building a revolutionary AI-based image and video processing platform and are looking for an Integrations Engineer to help expand our customer base through your technical expertise. We are open to candidates who can contribute significantly to developing our solutions and improving the customer experience.

​

Role Overview
​The responsibilities of a Solutions Engineer include sharing expertise on the product and its integration—specifically focusing on front-end understanding and a strong overall grasp of web technologies. You will use your analytical and interpersonal skills to guide our clients and maximize the value they gain from using our technology.
 

​The ideal candidate should have excellent communication and interpersonal skills, as well as the ability to meet KPIs and deadlines, demonstrating strong analytical abilities.

​Key Responsibilities

• Be the Product Expert: Act as the product expert and trusted advisor that clients can turn to for guidance on maximizing value from our technology.
• Expand Technical Expertise: Gain experience in front-end and back-end development, web optimization, performance best practices, AI/ML, cloud computing, media compression, and CDN.
• Support & Troubleshoot: Support customers’ technical queries, solve integration issues, and demonstrate the possibilities of the technology.
• Onboard Customers: Manage the technical onboarding of new customers and translate their desired outcomes into an implementation plan that will provide value.
• Define Requirements: Define new technical requirements for integration and prioritize project timelines.
• Cross-functional Collaboration: Ensure all customer requests and issues are handled promptly, working in collaboration with relevant teams including Customer Success, R&D, Sales, and Marketing.
• Quality Assurance: Utilize QA practices to ensure high-quality integrations

Requirements

• Language Proficiency: Strictly C1-C2 English level required.

  Candidates at an Upper-Intermediate (B1-B2) level will not be considered. Exceptional written and verbal presentation skills are a must.

• Working Hours: High flexibility and ability to operate within the US time zone.
   

​Technical Skills:

• 5+ years of experience as a Solutions Engineer, Front-End professional, or in QA within a global, fast-paced environment.
• Experience with Full-Stack technologies (e.g.,Node.js, React, Angular) or QA skills (e.g., automated testing, performance testing).
• ​Hands-on experience with web and cloud technologies.
• Experience with basic debugging/QA tools (e.g., Chrome Dev Tools).
• Problem Solving: Ability to effectively assess and quickly resolve technical issues while working with both technical and non-technical teams. High-level technical, project, and problem-solving skills.

• Mindset: Strong critical thinking and analytical skills with an entrepreneurial, proactive, and result-oriented mindset. Highly motivated, a fast learner, and open-minded.

   

Nice to Have​

• BS, BA, BEng degree or equivalent in Computer Science or a related field.
• ​Experience with Full-Stack technologies (e.g., Node.js, React, Angular) or automated/performance QA testing skills.
• ​Relevant certifications, courses, or experience in adjacent technologies.

We OFFER:

• ​A fast-paced, highly professional, international team environment with a flat structure and rapid decision-making.
• ​Competitive compensation packages commensurate with your background and product portfolio.
• ​Flexible, remote-first workflow optimized for seamless global alignment.
• Medical Insurance in Ukraine and a Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leave, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Description

The company is building the agent platform for professional music production: the orchestration layer, tool interfaces, skills runtime, and context architecture that allow any AI agent to reason about and act on a music-production workflow.

You will lead the design of the orchestration loop, define how the engine’s capabilities are exposed to models, build the skills runtime that transforms a general-purpose model into a domain specialist, and architect the context and memory systems that keep agents coherent across long creative sessions.

The object model is a song. The users are producers, musicians, and creatives. The domain has real-time constraints, deep semantics, and no existing playbook.

Requirements

• Five or more years shipping production platform or infrastructure software that other engineers have built on top of.
• Eighteen or more months of production experience building LLM agent systems, covering orchestration loops, tool use, and context management. We have no preference for a specific framework. We are equally interested in engineers who shipped on a provider-agnostic framework such as LangGraph and engineers who rejected frameworks entirely and built their own harness, provided you can articulate what you learned from the path you took.
• Demonstrated experience designing tool interfaces for LLM consumption. You can explain what makes a tool schema discoverable and usable by a model versus merely technically correct.
• Demonstrated experience building context, memory, or state-management systems beyond framework defaults, including compaction, durable memory, or session persistence. You have diagnosed agent failures from raw execution traces and made targeted harness changes in response.
• Strong proficiency in TypeScript and Python.
• Experience with the Model Context Protocol (MCP) or similar tool-connectivity standards.

Nice to have (not required)

• Background in music production, audio engineering, or another creative-tool domain, including as a serious hobbyist.
• Experience with real-time audio systems, professional audio software, or other latency-sensitive environments.
• Experience making a complex desktop or professional application agent-accessible, in any domain with a rich object model (DAW, IDE, design tool, CAD).
• Experience building middleware or hook architectures that allow others to customize agent behavior without modifying core code.

Job responsibilities

What You Will Own

• Tool interfaces. Define how the engine’s capabilities are exposed to LLMs as structured, discoverable tools. This includes schemas, semantic descriptions, scoped tool sets, input validation, and output parsing that a model can reliably produce and the harness can reliably consume. Designing a tool surface that models use well is a distinct discipline from designing an API for human developers, and you will own that discipline.
• Orchestration and control flow. Design and build the harness: the core loop and the machinery around it. This covers step sequencing, retries, timeouts, error recovery, fallback paths, and multi-agent coordination where a workflow is split across sub-agents with their own tools and context. You will evaluate whether to build this in-house, adopt a framework, or extend an existing one. We have no commitment to any specific framework, and we will not build the platform on top of a single provider or model. A well-reasoned argument for building our own harness is a welcome outcome of that evaluation.
• Skills runtime. Design the format, packaging, loading, and execution layer for the structured domain knowledge that turns a generic model into a music-production specialist. This is our most distinctive platform primitive and it is largely greenfield.
• Context, memory, and state. Build the systems that keep agents performant and coherent across long, multi-step creative workflows. This includes context compaction, short-term working memory, durable cross-session memory, session state persistence, continuity across disconnects, and sub-agent delegation in which parent and child contexts remain consistent.
• Extension points. Design the harness so that new tools, skills, and middleware can be added without modifying the core runtime. Extensibility is an architectural property of the system, not a retrofit.
• Evaluations, observability, and failure analysis. Evaluations tell us the harness is working; raw execution traces and structured failure logs tell us why it is not. You will build and own the platform-level evaluation surface, the observability that every engineer on the platform depends on, and the feedback loop that converts failed agent runs into targeted harness changes.
• Ongoing simplification. As frontier models improve, some of the scaffolding we build today will stop earning its keep. You will audit the harness on a regular basis and remove the components that models no longer require.

This Role Is Not

• LLM integration engineering. This role is not responsible for wiring models to the DAW or building end-user AI features. This role builds the platform those features run on.
• ML or model engineering. This team does not train models. It builds the systems that agents run on.
• Research. This team applies current research in production. Original research happens elsewhere in the company.

About us: 

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide. 

Our global team of over 9,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon. 

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. 

To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey. 

Be part of the future of iGaming with 10,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!

Responsibilities: Incident Response:

• Lead the investigation and response to complex security incidents, ensuring proper containment, eradication, and recovery.
• Coordinate cross-team incident response efforts, document lessons learned, and refine response strategies.
• Perform root cause analysis to determine the origin of security incidents and prevent future occurrences.
   

Security Monitoring and Optimization:

• Monitor and analyse security alerts from SIEM, EDR, and other monitoring tools.
• Fine-tune alerting systems to minimize false positives and improve detection accuracy.
• Integrate new log sources and update monitoring tools as needed to maintain comprehensive visibility.
   

Log Analysis and Correlation:

• Perform in-depth log analysis, correlating data from various sources (network, endpoints, cloud, etc.) to identify and investigate security incidents.
• Use automation and scripting to streamline log analysis processes.
   

Mentorship and Training:

• Provide mentorship to junior SOC analysts, guiding them on threat detection, analysis techniques, and incident response.
• Develop and deliver training sessions, workshops, and tabletop exercises to improve team skills and readiness.
   

Vulnerability and Threat Management:

• Facilitate, optimise, and produce reports on regular patching management process to ensure relevant patches are installed and vulnerabilities remediated according to compliance and internal requirements.
• Analyse and report/present the vulnerabilities to multiple stakeholders for remediation and prioritization.
• Assist in providing support and resolution for scanning and vulnerability remediation reporting issues.
• Maintain intelligence network to discover any reported exploits, zero-day vulnerabilities and its applicability to Organization.
• Monitor open source and commercial threat intelligence for IOCs, new vulnerabilities, software weaknesses, and other attacker TTPs.
• Ensure that system vulnerabilities (new and backlogged) across the enterprise are dealt with in an efficient and timely manner.
• Develop mitigation plans for TTPs, IoCs and Threat Advisories on vulnerabilities.
• Participating and creation of detailed Incident Reports and contribute to lessons learned in collaboration with the appropriate team.
• Knowledge of threat centric framework Cyber Kill chain and NIST Cyber Security Framework.
   

Skills:

• Implementation knowledge on SIEM technology (Sentinel/Elastic-Security/Splunk), Vulnerability management tools (NESSUS/Qualys), EDR and SOAR etc.
• Confidence with working in Linux environments and knowledge of AWS, Azure AD and Microsoft 365[E3&E5].
• Strong understanding of threat landscape in terms of the tools, tactics, and techniques of threats employing both commodity and custom malware.
• Knowledge of AWS, Azure and GCP
• Experience in Vulnerability Management and Remediation.
• Experience with tools such as Rapid7, Nessus, Metasploit, Qualys etc
• Must have the ability to work independently with minimal supervision and make sound decisions in high pressure environments.
• Aptitude for learning and applying new skills.

Description

Our client is a leading provider of automotive services and digital marketing software, connecting the vehicle lifecycle from factory to scrapyard. They facilitate vehicle remarketing, logistics, and digital retail solutions for dealers, manufacturers, and fleet operators, specializing in defleeting, vehicle refurbishment, and electric vehicle (EV) infrastructure.

The new platform delivers a solution which allows customers to independently manage their end-of-lease driver sales process through a branded, user-friendly, external facing lease portal. It provides customers with self-serve tools to generate and manage driver sales quotations and book vehicle collection appointments without manual assistance.

Requirements

Key Skills:

• Detailed knowledge of web technologies
• Programming experience
• Docker experience
• Experience of working in an agile scrum team.
• GIT experience
• Cypress experience (ideally with typescript)
• RestSharp experience
• AWS experience
• K6 experience
• Experience in API testing using Postman/Soap UI
• Playwright experience

Desirable Skills:
• Knowledge of risk management techniques and structuring of effort accordingly.
• Knowledge of Database technology
• Experience of leading and testing during complex Integrations
• Java knowledge

Interpersonal and Non-Technical Skills
• Excellent interpersonal skills, verbal and written communication skills when working with both technical and non-technical stakeholders.
• Ability to articulate arguments well and is comfortable working with a wide range of stakeholders.
• A strong natural focus on what matters; delivering value and designing to minimise risk.
• Hands-on experience of working through the end-to-end project lifecycle within an Agile environment.
• The ability to work across multiple priorities in parallel and the ability to contribute to wider group strategies.
• Ability to work alone or collaboratively with minimal supervision.

Job responsibilities

As a Senior Test Engineer, you will play a role within our Product Engineering team, responsible for designing, implementing, and executing comprehensive test strategies.

Your expertise will be crucial in guaranteeing quality, performance, and reliability of our software products. If you are passionate about test automation and thrive in a collaborative, innovative environment, we want to hear from you.

Delivery of Quality is a must, and you will pride yourself not only on your code but all aspects of your work.

• Develop and implement test strategies that align with product requirements and ensure comprehensive test coverage.
• Collaborate with cross-functional teams to understand requirements, goals and to define testing milestones.
• Design, develop, and execute automated test cases to verify software functionality and performance.
• Perform exploratory testing where required, whilst seeking to automate all use cases.
• Conduct thorough regression testing to ensure the stability of software releases.
• Leverage automation tools and frameworks to streamline repetitive testing tasks and improve efficiency.
• Work on the continuous improvement of test automation practices and frameworks.
• Investigate, analyse, and document software defects, working closely with development teams to facilitate timely resolutions.
• Provide detailed and actionable feedback to development teams to enhance product quality.
• Collaborate with software engineers, product managers, and other stakeholders to understand project requirements and deliver high-quality products.
• Participate in cross-functional team meetings to contribute to the overall development and testing process.
• Provide guidance and mentorship to junior test engineers.
• Lead by example, promoting a culture of quality and continuous improvement within the testing team.

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

TBC is building next-generation AI systems at the intersection of biological computing, generative models, and large-scale AI infrastructure. As we scale our world-model and neural-optimizer efforts, we are looking for an optimization-focused Research Scientist / ML Engineer to improve the efficiency, latency, throughput, and deployability of large models.

This role is focused on making frontier models run faster, cheaper, and more reliably — especially LLMs, diffusion models, video generation models, and world-model systems. You will work across inference optimization, training efficiency, model compression, memory management, and GPU-level performance to help turn research systems into scalable, customer-ready products.
WORK WITH USA 

What You’ll Work On

• Optimize inference for LLMs, diffusion models, video models, and world-model systems
• Improve serving efficiency through techniques such as KV caching, batching, quantization, distillation, speculative decoding, and memory optimization
• Build and optimize high-throughput inference pipelines for large models running on GPU clusters
• Profile model performance across latency, throughput, memory usage, GPU utilization, and cost
• Implement custom kernels or low-level optimizations using Triton, CUDA, PyTorch, or related systems
• Improve training and fine-tuning efficiency for large generative models, including distributed training, checkpointing, parallelism, and data loading
• Work with research teams to identify bottlenecks in model architecture, inference paths, and deployment workflows
• Translate model performance improvements into clear customer-facing benchmarks and technical proof points
• Evaluate trade-offs across model quality, latency, cost, memory, and deployability

What We’re Looking For

• Strong background in machine learning systems, model optimization, or high-performance AI infrastructure
• Hands-on experience optimizing LLMs, diffusion models, video generation models, or other large generative systems
• Experience with one or more of:
  • Inference optimization
  • KV caching / attention optimization
  • Triton or CUDA kernel development
  • Quantization, pruning, distillation, or model compression
  • Distributed training / fine-tuning efficiency
  • GPU profiling and performance debugging
• Strong PyTorch experience and comfort working close to the model/runtime boundary
• Ability to reason about trade-offs between quality, latency, throughput, memory, and cost
• Comfortable working across research code, production systems, and benchmarking infrastructure
• Excited to work in an ambiguous, early-stage environment where optimization work directly shapes product feasibility

What Success Looks Like

• Large models run faster, cheaper, and more reliably across TBC’s core workloads
• Inference pipelines show measurable improvements in latency, throughput, memory use, and GPU utilization
• Training and fine-tuning workflows become more efficient, reproducible, and scalable
• Optimization work translates into clear product and customer value, not just internal benchmarks
• Research prototypes become deployable systems that can support demos, evaluations, and early partner use cases

Preferred Qualifications

• PhD, MS, or equivalent industry experience in Computer Science, Machine Learning, Systems, Robotics, or related field
• Prior work optimizing large-scale generative models in production or research settings
• Experience with modern inference/training stacks such as PyTorch, Triton, CUDA, vLLM, TensorRT, DeepSpeed, FSDP, Ray, or similar tooling
• Experience working with LLMs, diffusion models, video generation models, or world models

We are currently looking for 4 Java Developers to support the following activities:

Development and implementation of technical integrations between the FaktorZehn quotation and policy management system — a new property and casualty insurance system — and the relevant peripheral systems.

Responsibilities

Java software development within the new property and casualty insurance quotation and policy management system

Integration with the claims management system, including technical data provision, contract data, lead insurance and participation data

Integration with the reinsurance system, including reinsurance determination, premium data and contract data

Integration with the document generation and printing system, including technical data provision and dynamic document structures

Integration with the partner management system, including development of creditor-related functionality

Integration with the Data Warehouse, including technical data provision and mapping data to target structures

Implementation of SOAP and REST web services

Test-driven and behaviour-driven development using TDD and BDD

CI/CD implementation using the specified toolchain

Mandatory Requirements

Strong experience with Java SE/EE and in-depth backend development expertise

Experience developing web services and interfaces using SOAP and REST

Experience integrating peripheral systems such as claims, reinsurance, document generation, partner management and Data Warehouse systems

Experience with test-driven development and behaviour-driven development: TDD and BDD

Experience with SQL databases

Experience with CI/CD and build tools, including Jenkins, Docker, Maven, Gradle, Git and Artifactory

Business-fluent German

Preferred Requirements

Experience with the FaktorZehn product suite, including IPM, IPS and F10-IOS, or with a comparable standard property and casualty insurance quotation and policy management system

Experience with Vaadin and Spring Boot

Experience mapping data to target structures for Data Warehouse integrations

Experience in property and casualty insurance, primary insurance or policy management system environments

Please feel free to send us profiles of German-speaking experts who meet as many of the listed qualifications as possible.

We are an established designer eyewear eCommerce company with 8+ years in the industry, working with 100+ luxury and designer eyewear brands.
Our business operates across multiple sales channels, supported by a fully customized internal CRM system, warehouse workflows, inventory processes, fulfillment operations, marketplace management, and remote international teams.
If you haven't done this before — or you can't show real results from a previous role — please don't apply. We won't be fit, and neither of us should spend the time. We're hiring proven professionals only.
 

About the Role

The COO will work directly with the CEO and take ownership of daily operations across inventory, fulfillment, logistics, marketplaces, customer support, procurement, product/content operations, and internal systems.
This role requires a person who understands how to manage people, processes, and numbers — especially in a multi-brand retail or eCommerce environment.
We are looking for someone with proven experience in a similar operational leadership role. Relevant experience, real cases, and measurable results are important for us.
 

Key Responsibilities

• Manage and improve company-wide operations across departments.
• Build clear processes, SOPs, reporting, and accountability systems.
• Manage remote teams across Ukraine, New York, and other locations.
• Lead department managers and ensure teams achieve their KPIs.
• Improve inventory accuracy, warehouse productivity, fulfillment speed, and operational efficiency.
• Control fulfillment, logistics, support, and operational costs.
• Identify bottlenecks in the CRM, workflows, reporting, and team execution.
• Work with the CEO to turn business goals into clear execution plans.

THE KPIS YOU'LL OWN
This is the core of the job. We'll talk numbers in the interview, and we'll test how you think about them.
Inventory
–   Inventory turnover & weeks of supply
–   Sell-through rate by brand and by channel
–   GMROI — gross margin return on inventory investment
–   Aged / dead stock as a % of total inventory
–   Stockout / out-of-stock rate and inventory accuracy
Fulfillment
–   Order fulfillment cycle time
–   On-time dispatch & delivery rate
–   Fulfillment cost per order
–   Perfect order rate (accurate, on time, undamaged)
–   Return rate & return-handling time
Cost & margin
–   Contribution margin by channel and by brand
–   Operating expense ratio and cost per order across the P&L
–   Cash conversion cycle
Team & execution
–   SLA adherence across departments
–   Output / productivity per team member
–   On-time delivery of strategic projects

You should read this list and immediately know which levers move each number — and by roughly how much. That instinct is what we're hiring for.
 

WHAT YOU ALREADY HAVE
–   Senior operations / COO experience in eCommerce, ideally multi-brand retail or marketplace.
–   A track record managing 10–15+ people remotely across time zones.
–   Fluency in analytics — you live in dashboards and decide from data, not gut feel.
–   Real, demonstrable KPI results from previous roles. Bring the portfolio.
–   Hands-on experience with CRM / ERP / WMS or workflow automation systems.
–   English at B2+ or higher.
 

HOW WE HIRE
No fluff. We'll ask about specific numbers you've owned, how you moved them, and what you'd do with ours. Expect a practical case study — real scenarios, real data. We work with people who know the numbers cold and know how to lead a distributed team to hit them.
 

WHAT YOU GET
–   Direct partnership with the CEO and real ownership of company-wide operations.
–   Fully remote, flexible schedule (full-time, 40 hrs/week, Mon–Fri).
–   Competitive salary, paid vacation and sick leave, birthday bonus, and team perks.
–   The freedom to build scalable systems instead of babysitting broken ones.
 

Application Note
We are looking for an experienced operational leader who knows how to manage teams through KPIs, not assumptions.
Please apply only if you have relevant experience and can share examples of previous roles, team size, KPIs you managed, and measurable operational improvements you delivered.

For our client in Berlin we are looking for Penetration Tester / Security Tester (m/f/d)

We are looking for an experienced Penetration Tester to perform security assessments of AI and Agentic AI platforms. 

Responsibilities include penetration testing of LLMs, AI agents, multi-agent systems, AI workflows, MCP implementations, APIs, cloud and infrastructure. Conduct AI Red Teaming, threat modeling, vulnerability assessments, and evaluate Prompt Injection, Jailbreaking, Data Leakage, Model Poisoning, RAG security, Tool Abuse, and Agent Exploitation. Collaborate with Engineering and Security teams, deliver security reports, and support secure-by-design AI.

Requirements: 5+ years in Penetration Testing/Security, mandatory OSCP, strong experience with LLM Security, AI Security Engineering, Agentic AI, OWASP Top 10, offensive security tools, web/API/cloud security, and excellent English. Nice to have: MCP Security, AI Red Teaming, AWS/Azure/GCP, OSEP, OSWE, GPEN, CISSP, CEH, German.

Project: ASAP – end of 2027

100% Remote, Full-time

English mandatory.

Location: EU and country near EU