Jobs at Djinni

About the Role

You'll own the full radar processing stack — from raw acquisition through detection and tracking. You report to the radar system architect: you own the software implementation of the waveform and detection strategy, and you feed back what's viable on compute, memory, and timeline. You’ll bridge the gap between theoretical DSP and high-performance, real-world deployment at Valkyrie Dynamics.

What You’ll Do

• Own the radar waveform and detection strategy
  • Chirp/FMCW design
  • Range-Doppler processing detection budgets (SNR, integration, CFAR)
  • Angle estimation to detect small, low-RCS UAV targets at high closing velocity
• Define and maintain the system-level requirements and budgets
  • Detection range, range/Doppler/angular resolution, update rate, power, thermal, and size
  • Write verifiable requirements so that meeting them validates the sensor
• Evaluate approaches across the integration spectrum, cascaded transceiver ICs, an integrated system-on-module, or a discrete RF front-end
  • Collaborate with the antenna engineer on a viable solution for channel count, LO/clock distribution, and phase-coherence strategy across the array
• Own and control the interfaces between subsystems
  • Ensure end-to-end signal chain from antenna to detection output holds together as one coherent system including:
    • Timing and synchronization (frame/trigger)
    • Transceiver-to-compute data path (sample rates, formats, latency/throughput)
    • RF/antenna boundary
• Own and continuously evolve the system model — effectively a digital twin of the sensor. During the evolution:
  • Maintain ICDs
  • Meet and manage performance metrics
  • Grow model fidelity over time, introducing the non-idealities and non-linearities that matter as complexity increases (phase noise, PA compression, quantization, channel mismatch, mutual coupling), and trace observed behavior back to the origin.
• Collaborate with the DSP engineer on the waveform and detection design
  • You lead the strategy, they own the implementation and pressure-test it for compute load, memory, and timeline — until the architecture is both performant and buildable
• Converge the open architecture questions to decisions on a schedule
  • Committing with the evidence available, revisiting only when new data (a budget, a measurement) actually changes the answer
• Able to work independently on a contract basis
• Must pass company security procedures
• Must communicate effectively in English

Preferred / Bonus

• Counter-UAV or defense radar experience specifically — small, low-RCS, maneuvering targets in cluttered environments
• Hands-on experience with integrated radar transceiver SoCs including integration tradeoffs they bring
• MATLAB Simulink
• Ukrainian or Russian speaking (Other languages are also great)

Engagement Details

• Type: Contract-to-permanent position
  • Starts as a contract engagement with an explicit track to a permanent lead role for the right candidate
• Rate: [TBD]
• Duration: [TBD]
• Location: Kyiv preferred, Hybrid
   
  • Hybrid: Must be able to temporary travel to Kyiv for on-site testing is heavily preferred (all expenses paid) — system bring-up and field validation against real targets, correlating measured performance against the model.

NOTE: We are currently in the process of getting authorized to provide reservation from mobilization
 

We are looking for an experienced Head of Affiliates to lead and scale our affiliate direction for the CIS market.

This is not another corporate role with endless approvals. It's an opportunity to join an ambitious iGaming startup at an early stage and build one of its key business functions with real ownership and decision-making authority.

What makes this opportunity different?

• Build and scale the affiliate department almost from scratch.
• Direct impact on business growth and acquisition strategy.
• Work closely with founders and key stakeholders.
• Fast decision-making without corporate bureaucracy.
• Freedom to implement your own ideas, strategies and processes.
• Opportunity to build and lead your own affiliate team as the company grows.
• International remote team with ambitious growth plans.

Your responsibilities

• Develop and execute the affiliate strategy for the CIS market.
• Build, manage and grow relationships with affiliate partners and networks.
• Negotiate CPA, RevShare and Hybrid deals.
• Analyze traffic quality and optimize acquisition performance.
• Monitor key metrics including FTD, NGR, ROI, CPA, LTV and retention.
• Manage affiliate budgets and maximize profitability.
• Research new traffic sources and partnership opportunities.
• Collaborate with CRM, Product, Payments and Marketing teams to improve acquisition performance.

We're looking for someone who has

• 3+ years of Affiliate Marketing experience within iGaming.
• Strong experience with CIS GEO.
• Proven track record of scaling affiliate programs.
• Existing network of affiliates, webmasters and affiliate networks.
• Deep understanding of CPA, RevShare and Hybrid models.
• Strong analytical skills and data-driven decision making.

• Excellent negotiation and relationship management skills.

   

Nice to have

• Experience launching or scaling affiliate operations in startups.
• Previous experience building affiliate teams.

We offer

• Salary: $5,000-7,000 + performance bonus.
• Fully remote work.
• High level of ownership and autonomy.
• Fast professional growth.
• Direct influence on business decisions and company development.
• Opportunity to grow together with a rapidly scaling international iGaming company.

Interested? We'd love to hear from you!

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.
Trusted by 200+ companies, managing $150M+ in ad spend.
 

Scale faster. Grow smarter.

Now, we’re looking for a Full Stack Engineer to join our AdTech product team. Someone passionate about building scalable, data-driven systems that power performance marketing automation and analytics.
 

Key Responsibilities:

• Design, build, and maintain frontend and backend services for the internal AdTech platform.
• Develop Angular (v12+) applications with TypeScript, using reactive patterns (RxJS, Angular Material, reactive forms).
• Implement and optimize state management and change detection for high-performance UI.
• Build and maintain Node.js microservices with TypeScript and RESTful APIs.
• Work with PostgreSQL (TypeORM) and Firestore (NoSQL) for data modeling and storage.
• Implement asynchronous patterns, error handling, and background data processing.
• Integrate with Google Cloud Platform (GCP): Cloud Functions, Firestore, Cloud Storage, and Secret Manager.
• Utilize Redis caching, message queues (RabbitMQ / Pub/Sub), and efficient pagination/filtering for large datasets.
• Collaborate with product, analytics, and QA teams to deliver robust, scalable AdTech solutions.
   

Requirements:

• 3+ years of experience as a Full Stack Engineer
• Experience with Node.js, Angular (v12+), and TypeScript in production environments
• Strong knowledge of RxJS, Angular Material, and reactive forms
• Experience with state management and change detection optimization
• Experience with microservices architecture and RESTful APIs
• Proficiency with PostgreSQL (TypeORM) and Firestore (NoSQL)
• Understanding of asynchronous patterns and error handling
• Experience deploying and managing Cloud Functions (triggers, logs, monitoring)
• Knowledge of Firestore queries, indexing, and data modeling
• Familiarity with Cloud Storage and Secret Manager
• Docker basics for local development and testing
• Experience with message queues (RabbitMQ or Pub/Sub)
• Redis caching and session management
• Handling large datasets (pagination, filtering, sorting)
   

Nice to Have

• Experience with ad platform APIs (TikTok Business API, Facebook Graph API, Google Ads API)
• Working knowledge of BigQuery for analytics and data aggregation
• Experience building worker pools and parallel processing pipelines
• Familiarity with CI/CD pipelines and deployment automation
• Understanding of AdTech concepts — campaigns, budgets, pixels, conversions
• Experience with high-volume, real-time data systems
   

What We Offer

• Hybrid job in Prague/Warsaw or remote
• Competitive compensation
• Flexible working hours: we start our operation day between 9:00 — 11:00 CET
• All necessary equipment
• Paid vacation and sick leaves
• Educational support: reimbursement of certification, training, and a knowledge-sharing atmosphere
• Company events and multiple internal activities
• Open feedback and transparent direct communication

Applinix is looking for an experienced B2B Sales Manager to drive the growth of our core product — a comprehensive software platform for launching online casinos. In this role, you will focus on selling our turnkey iGaming solutions to business clients globally, leveraging your existing industry network and expertise.

Requirements:
- 2+ years of proven B2B sales experience in the iGaming or gambling industry.
- Solid understanding of the online casino ecosystem, platform solutions, and game integration.
- Active network of potential clients, operators, or industry partners is a major plus.
- Fluent English with excellent negotiation, presentation, and closing skills.
- Ability to pitch complex technical software products to C-level executives.

Responsibilities:
- Actively prospect, generate leads, and close B2B deals with international casino operators.
- Conduct product demonstrations and present our platform capabilities to potential clients.
- Manage the full sales cycle from initial contact to contract negotiation and signing.
- Collaborate with the technical team to align platform offerings with client requirements.
- Represent the company at international iGaming conferences and industry events.

What We Offer:
- Competitive base salary with an attractive, uncapped commission structure.
- Fully remote work format with flexible hours and professional freedom.
- Opportunity to sell a high-demand, technologically superior software product.
- Direct collaboration with founders and a fast-paced, product-driven culture.
 

ABOUT THE ROLE

We are a climate technology team operating a multi-tenant SaaS platform used by carbon registries and project developers. Correctness matters here in a way it does not in most products: the records our customers create are written to a public ledger and cannot be edited afterward.

You would own quality end to end. That means the automated test estate, hands-on manual and exploratory testing, and being the first technical responder when a customer reports something that does not look right.

It also means something we think is underrated: because you will know each feature better than anyone once you have tested it, you will be the one who documents it, demonstrates it, and walks customers through it. We do not think that work belongs to someone who has never exercised the feature.

RESPONSIBILITIES

• Own the automated test estate: unit, API and end-to-end suites, and the CI pipelines that run them.
• Manual and exploratory testing, including release verification. Not everything worth catching can be automated, and we are not interested in a team that pretends otherwise.
• Regression strategy for a platform with a large surface area and frequent releases.
• Bug triage: reproduce, isolate, write the report a developer can act on without a second conversation.
• Feature documentation. Partner with the developer who built it, understand it properly, and write the documentation for it. You will have tested it, so you already know where users will get stuck.
• Demos of completed features, internally and to customers and partners.
• Front-line technical response and customer onboarding: reproduce what the customer reports, walk new customers through the platform, and answer the technical questions that come in.
• Test data strategy for a domain where realistic data is scarce and production data is sensitive.
• Performance and load testing, if that interests you. The foundation exists.

REQUIREMENTS

• Strong in both automation and manual testing. This is the core requirement. Candidates who are excellent at one and absent in the other are not a fit for this role.
• 4+ years in QA, with ownership of a test suite rather than only executing someone else's.
• API testing depth: REST contracts, auth, error paths, and what to assert beyond a 200.
• End-to-end and UI automation with a modern framework. We use Playwright; Cypress or Selenium experience transfers.
• Unit and integration testing in a JavaScript or TypeScript codebase.
• CI/CD literacy: able to read a pipeline, work out why a job fails, and fix it. You will own the workflows that run your tests.
• Formal test design: boundary values, equivalence partitioning, decision tables. We want deliberate coverage, not intuition.
• Able to judge whether a test actually proves anything. A green suite that asserts nothing is worse than no suite, and we will ask you about this directly.
• Able to write clearly for a non-engineer. Feature documentation is part of this role, not an afterthought handed to someone else.
• Comfortable presenting. You will demo features to customers and partners, and onboard new users onto the platform.
• Comfortable talking to customers. You will sometimes be the first person a frustrated user reaches.
• Willing to sit with a developer and ask questions until you genuinely understand a feature, rather than testing it from the ticket description.
• English at B2 or above for written technical discussion and calls.

NICE TO HAVE

• Load and performance testing with k6, JMeter or similar
  Test data generation, including synthetic or AI-assisted approaches
  Kubernetes literacy, enough to read logs and understand where a service runs
  MongoDB
  Exposure to blockchain, carbon markets or regulated reporting. Optional, we will teach the domain.

WHAT YOU WOULD WORK ON FIRST

• Being specific, because it is more useful than a list of adjectives:
• Taking ownership of an existing test estate and deciding what to keep, repair or retire.
• Bringing a substantial body of generated test coverage under review and judging what genuinely earns its place.
• Establishing regression coverage for a part of the platform that is currently verified by hand.
• Building a test data approach for a domain where realistic data is genuinely hard to obtain.
• Documenting and demonstrating the features shipping in the next releases.
• If you have spent years asking for the authority to fix a test pipeline properly, this role is that authority.

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.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle 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 Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

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

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

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 a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on 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: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• 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.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• 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.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

Level: Middle 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 Middle-level Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

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

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

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 solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• 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.

Desired Skills

• Experience with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, 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.
• Experience with performance profiling and optimization of latency-sensitive systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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 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.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation of tests and processes for new firmware releases; creating tools and reports to help other teams perform better and get data and summaries more easily.

Requirements

• Good Python knowledge and experience

• Experience in the usage of automated testing frameworks

• Experience in BDD AUtomation

• Good Software Testing skills (good knowledge of test design and testing techniques; excellent reporting and documentation skills)

• At least intermediate English level

• Self-motivated person who is able to work independently and in the team

• Good communication skills

• Ability to learn new technologies quickly

Job responsibilities

• Working with automated test framework 

• Creating automated scripts, tools and reports

• Debugging issues and creating bug reports

• Developing test plans for new features and ensure good level of test coverage

• Contributing to team processes

• Communication with clients and team members

We are looking for a Sr Scala Developer for a major client in the Fintech sector. The project involves the development and optimization of backend components within a dynamic and technologically advanced environment.

Work mode: Full Remote

Working language: English

Engagement duration: From September until the end of April 2027

Required skills:

Solid experience in backend development

Excellent knowledge of Scala (Must Have)

Excellent knowledge of Kafka

Excellent command of English (written and spoken)

Nice to have:

Experience with Typelevel stack (Cats-Effect, Doobie)

Experience with Akka/Pekko toolkit (Http and Streams)

Experience working with microservices architectures, event streaming systems and cloud providers is also preferred. Kubernetes and AWS knowledge is a plus.

Experience and appreciation for Extreme Programming values and principles.

Experience working in financial services systems.

Comfortable working in remote-friendly teams distributed between multiple locations.

A good understanding of Agile methodologies, their principles and their ceremonies.

About us. TimelinesAI is a B2B SaaS connecting WhatsApp to CRMs (HubSpot, Pipedrive, Bitrix24, monday.com). Our outbound runs on AI agents — what's missing is the human operator who owns the result.

The role. Operate and improve the AI outbound engine daily — it gets better because you run it. You own queue speed, reply quality, and follow-up discipline; infrastructure has its own owner — you escalate, not fix.

What matters

• Real outbound experience in B2B. Sequences, reply handling, objections, deliverability basics; a booked meeting is the only metric that counts.
• You work in Claude Code daily — specifically Claude Code: the pipeline lives in GitHub, and you work inside it. If your outbound is blasting templates — this role is not for you.

What you'll do

• Work the reply/approval queue daily: approve, fix, or escalate agent-drafted responses; never let a positive reply rot.
• Own follow-up cadences and booking conversion; report replies → meetings.
• Improve process and playbooks through GitHub as you spot patterns.

Terms

• Remote, contract, full-time

To apply. Describe one automation you've built with AI tools: what it does, which tools, how you set it up and ran it.

About us. TimelinesAI is a best selling B2B SaaS connecting WhatsApp to CRMs (HubSpot, Pipedrive, monday.com).

A lot of our work already runs on Claude Code agents — you're expected to run paid the same way: agents, not spreadsheets.

The role. Own paid acquisition end to end: Google Ads plus new channels (OpenAI Ads, Reddit Ads),  working with our existing agencies. Your core job is short iteration loops — campaign → UTM → landing → signup, checked daily by agents you build — so budget moves off the 95% of keywords that don't work.

What matters

• Performance marketing fundamentals in SaaS. Keywords, negatives, landing tests, funnel metrics.
• You work in Claude Code daily — specifically Claude Code, the job runs in it. GitHub is your workflow. If your PPC is a monthly agency PDF — this role is not for you.

What you'll do

• Run and iterate campaigns; give agencies data-backed feedback.
• Build the daily analytics loop (UTM → landing behavior → signups) as an agent.
• Improve landing pages from data; ship changes and analyses through GitHub.

Terms

• Remote, contract, full-time

To apply. Describe one automation you've built with AI tools: what it does, which tools, how you set it up and ran it.

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

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