Jobs

About the Client

Our client is transforming the world of alternative investments, making them accessible to a broader range of investors. Traditionally, private funds and other alternative assets have been available only to institutional players due to their complexity and regulatory barriers. They change that by providing a cutting-edge platform that simplifies access, management, and distribution of these investment opportunities.

About the Role

As a Senior Scala Engineer, you’ll be part of the team building the core backend systems that power the client’s investment platform. Your mission will be to design and develop high-performance, scalable, and reliable distributed services that enable seamless data flow and financial transactions at scale.

You’ll contribute to the architecture of microservices and real-time data pipelines, applying functional programming principles and leveraging technologies like Akka, Play Framework, and streaming frameworks such as Spark or Flink. Working closely with cross-functional teams, you’ll help shape technical direction and ensure the platform continues to deliver secure, robust, and efficient solutions for the global investment community.

Role Responsibilities:

• Develop and maintain robust backend systems using Scala, ensuring high performance, scalability, and reliability.
• Participate in designing distributed systems and microservices architectures. Contribute to decisions on frameworks, libraries, and best practices.
• Write clean, testable, and maintainable code. Promote functional programming principles and ensure code quality through code reviews and unit/integration tests.
• Identify bottlenecks and optimize application performance, scalability, and fault tolerance.

Role Requirements:

• 4+ years working with Scala
• Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, Cassandra, MongoDB)
• Experience with functional programming paradigms
• Experience with Akka, Play Framework, or ZIO ecosystem
• Strong communication skills with English B2+ for direct cooperation with the client
• Project starter mindset with ability to work independently and take ownership in a changing environment.
• Strong curiosity to the fintech domain.

Nice to have:

• Experience in fintech, banking, or payment systems
• Knowledge of data streaming and real-time analytics
• Exposure to Big Data frameworks (Spark, Flink)

Interview Process

1. Intro Call with Recruiter (45 min)
2. Technical Interview (up to 60 min)
3. Client Interview (up to 60 min)

Looking forward to having a mutually interesting conversation with you!

For our customer from the energy industry we are looking for  AI Engineers

Basic data:

Start: 01.08.2026

End: 12/31/2026

remote

Additional information

The aim of the project is to build a new billing platform based on SAP UC4G as a strategic backbone for future-proof sales within the German Sales Group. Through maximum automation, standardization and harmonization, the joint platform is intended to enable efficient billing of all products and services.

Increase in company-wide closing costs

Securing competitiveness by reducing costs and reducing the time-to-market of new products

Ability to respond quickly to regulatory requirements

Reduction of complexity through simplified product structures

Scalability and flexibility

95% harmonization of core processes

Measurability and transparency of performance based on appropriate KPIs, the first will go live by the end of November and then the others will go live until 2028

Tasks:

Build & operate AI solutions in a squad. Develops and operates AI solutions directly in the squad (agents, automations, scripts, integrations) and provides hands-on support in requirements analysis, documentation, solution design, testing and coding.

Measurable delivery contribution: Increase automation and velocity with measurable contribution.

Empowerment to be self-reliant: Enablement of the squad with the goal that it works independently and AI-first after the handover.

AI as a standard work tool: Establishes the use of AI for error prevention in development, documentation and quality assurance.

Specifications of methods and best practices: Definition of clear guidelines on how AI is effectively used in the squad, as well as further development of the team towards these ways of working.

AI & Tooling

In-depth experience in the use of AI tools in a work context (e.g. copilots, LLMs (e.g. Claude Code), Code Assistants)

Ability to use AI effectively for requirements analysis, documentation, solution design, coding, and testing

Understanding of opportunities, risks and sensible application scenarios of AI

Skills:

AI & Tooling:

In-depth experience with AI tools (Copilots, LLMs, Claude Code, Code Assistants)

Use of AI for analysis, documentation, design, coding and testing

Understanding of risks, limitations, and meaningful use cases of AI

Advantageous

SAP Utilities (UC4G / IS-U / S/4HANA).

Integration know-how (APIs, interfaces, data flows)

Basic knowledge of ABAP, Python or comparable technologies

Knowledge of modern cloud and BTP architectures

Simulmedia is looking for an experienced and dynamic Data Engineer with a curious and creative mindset to join our Data Services team. The ideal candidate will have a strong background in Python, SQL and large-scale data pipelines. This is an opportunity to join a team of amazing engineers, data scientists, product managers and designers who are obsessed with building the most advanced TV and streaming advertising platform in the market. As a Data Engineer you will design, build and operate the data platform that powers the company: pipelines that ingest and transform very large datasets from external data partners, data models that the whole company queries, and services that make that data available to internal products. You will work on a team that empowers the other teams to use our huge amount of data efficiently. Using a large variety of technologies and tools, you will solve complicated technical problems and build solutions to make our pipelines robust and fault tolerant and our data easily accessible throughout the company.

Location: Ukraine is mandatory. Our offices are located in Kyiv and Lviv. Teams are located in Kyiv and Lviv and primarily work remotely with occasional offline meetings.

Responsibilities:

• Design and build batch data pipelines that ingest, validate and transform multi-billion-row datasets from external data providers and internal systems
• Model complex real-world data: dimensional models, reference data, and temporal data whose attributes change over time (e.g. slowly changing dimensions), and evolve those models safely as upstream sources change their schemas and semantics
• Develop and operate workloads on our lakehouse platform (Databricks / Spark / Delta) and our data warehouse (Redshift), including migrating existing pipelines from the warehouse to the lakehouse
• Orchestrate pipelines with Airflow: scheduling, dependencies, retries, backfills and alerting
• Prove correctness, not just completion: design parity checks and reconciliation queries when replacing an existing pipeline, run large historical backfills, and investigate data discrepancies down to the row level
• Build and maintain Python services and REST APIs that serve data to internal products
• Optimize for performance and cost: query tuning, table design, workload management and right-sizing compute
• Own what you ship: monitor production pipelines, participate in incident triage and root-cause analysis, and harden systems so the same failure does not happen twice
• Collaborate cross-functionally with product managers, data scientists and stakeholders across the company to deliver on product roadmap
• Work within an Agile team that releases cutting-edge new features regularly
• Take a high degree of ownership and freedom to experiment with new technologies to improve our software

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of work experience as a data engineer
• Proficiency in Python and using it as the primary development language in recent years
• Expert-level SQL: comfortable writing, reading and tuning complex analytical queries against very large tables, and debugging why two result sets disagree
• Hands-on experience with a distributed data processing platform (Spark/Databricks strongly preferred; EMR, Snowflake or BigQuery also relevant) and with a columnar data warehouse (Redshift, Snowflake, BigQuery, ClickHouse, etc)
• Ability to design complex data models: normalized, dimensional and temporal (slowly changing dimensions, effective-dated records, point-in-time correctness)
• Experience with workflow orchestration tools (Airflow or similar): building DAGs, managing dependencies and running backfills
• Experience integrating third-party data feeds: handling schema drift, late or missing deliveries, vendor data-quality defects and versioned reference data
• Experience building REST services in Python (FastAPI, Flask, etc)
• Experience developing, maintaining, and debugging problems in large server-side code bases
• Working knowledge of AWS (S3, IAM, ECS or similar compute) and Docker
• Good knowledge of engineering best practices and testing (unit test, integration test, code review, CI/CD)
• The desire to take a high level of ownership of the things you work on
• Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic
• Must be able to communicate with U.S based teams
• Experience with Delta Lake / medallion lakehouse architectures is a plus
• Experience migrating legacy pipelines between platforms with strict parity requirements is a plus
• Experience with advertising, media or measurement industry data is a plus
• Ability to communicate effectively with the U.S.-based teams and work 11:00 AM — 8:00 PM EEST (11:00 - 20:00).

Our Tech Stack:

• Almost everything we run is on AWS (S3, ECS, EMR, RDS and more)
• Python is our primary language; SQL is everywhere
• Databricks (Spark, Delta Lake) is our lakehouse platform; Redshift and Postgres are our warehouses and operational databases
• Airflow orchestrates our pipelines
• Docker for packaging; GitHub Actions and Jenkins for CI/CD
• Grafana, Sentry and OpenSearch for observability
• Datasets measured in billions of rows

Interview Process:

1. Pre-screening (30 mins)
2. Technical Interview (1h)
3. System Design (1.5h)
4. Product Interview (30 mins)
5. Offer.

We are developing an international payroll product that helps companies calculate and pay employee salaries across multiple jurisdictions accurately, on time, and in compliance with local regulations.

The product is demonstrating strong growth, and we are looking for a commercial leader who will build the sales function, establish a partner channel, and take full ownership of the business unit's revenue performance.

Key Responsibilities

New Business Acquisition

• Develop and execute the outbound sales strategy, including ICP definition, outreach sequences, negotiations, and deal closure.
• Manage the sales pipeline in CRM and prepare weekly forecasts.
• Ensure a structured handoff of signed clients to the Customer Success team.

Partner Channel Development

• Identify, negotiate, and onboard strategic partners, including HR consultancies, accounting firms, EOR/PEO providers, and HCM/ERP integrators.
• Define commercial terms, negotiate SLAs, and launch joint go-to-market initiatives.

Revenue Expansion Within Existing Accounts

• Identify and execute upsell and cross-sell opportunities together with Customer Success.
• Own and improve the project's Net Revenue Retention (NRR).

Customer Onboarding Support

• Provide commercial support during client implementation and remove onboarding blockers.
• Ensure Time-to-Live does not exceed 45 days from contract signature.

P&L Ownership

• Manage the business unit's financial model, including revenue, margins, and unit economics.
• Conduct monthly P&L reviews, quarterly forecasting, and annual budgeting.

Team Building and Leadership

• Hire and manage the commercial team as the business scales, including SDRs, Account Executives, and Partner Managers.

Requirements

Must-Have

• 5+ years of experience in B2B sales, growth, or commercial leadership roles within SaaS, FinTech, HCM, Payroll, or related industries.
• Proven track record of closing deals in international markets.
• Experience managing a P&L or owning a revenue function.
• Experience building and managing partner channels.
• English proficiency at B2 level or higher.

Nice-to-Have

• Familiarity with global payroll platforms such as Deel, Remote, Rippling, or Papaya Global.
• Understanding of EOR/PEO operating models.
• Experience launching and scaling new geographic markets.
• Experience managing commercial teams.

What We Offer

• Full ownership, authority, and budget to build and scale the business direction.
• Competitive compensation package consisting of a fixed salary and performance-based bonus tied to ARR growth.
• Direct collaboration with the CEO and CFO.
• International market exposure and a product with proven demand.
• Remote or hybrid work format.
• Career growth aligned with the expansion of the business.

Simulmedia is seeking an experienced Senior Backend Engineer to join our engineering team, working on the backend and data infrastructure powering our TV advertising platform - spanning National Linear and CTV. This role sits within a distributed system of up to ~30 microservices, and you'll be primarily responsible for building, scaling, and operating backend services - with secondary exposure to backend-for-frontend work in TypeScript/Node.

In this role you will work closely with product managers, designers, and data engineers to ensure seamless integration of analytics features into the platform. The ability to frequently iterate and deliver high-quality features that are owned end-to-end is crucial in this role.

We're looking for someone who takes ownership, communicates directly and honestly, and cares about the reliability and craft of the systems they build - not just shipping features but understanding how they behave in production.

Location: Ukraine is mandatory. Our offices are located in Kyiv and Lviv. Teams are located in Kyiv and Lviv and primarily work remotely with occasional offline meetings.

Key Responsibilities:

• Design, build, and maintain backend services in Ruby (Roda) operating within a large-scale distributed microservice architecture.
• Contribute to backend-focused TypeScript/Node.js work, including API design and tRPC procedures, in support of Next.js applications.
• Own service reliability: instrumentation, monitoring, and observability across services (tracing, metrics, structured logging).
• Collaborate closely with data engineers on data pipelines, ETL processes, and ensuring clean, well-modeled data flows between services.
• Investigate and resolve production incidents; contribute to and follow oncall/runbook practices.
• Design and evolve APIs with strong attention to authentication, authorization, and security best practices.
• Participate in code reviews, pair programming, and knowledge-sharing sessions to ensure high-quality, maintainable code.
• Write thorough unit and integration tests for backend services
• Work independently while communicating clearly across a distributed, cross-functional team

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of professional Ruby backend development experience; prior experience may be with Rails, Roda, Sinatra, or similar - deep Roda-specific knowledge is not required, as long as the underlying Ruby fundamentals are strong.
• Experience operating within a distributed systems / microservice architecture.
• Solid working knowledge of observability tooling - OpenTelemetry, Datadog, Grafana, Prometheus, or equivalent - including setting up tracing, metrics, and alerting, not just consuming dashboards.
• Experience with error tracking/monitoring tools such as Sentry, Honeybadger or equivalent.
• Hands-on experience in TypeScript and Node.js, with practical experience in Next.js for backend/API-layer work.
• Experience with tRPC or comparable typed API frameworks.
• Solid experience with AWS and its core services (e.g. EC2, S3, RDS, SQS/SNS, ECS/EKS), including infrastructure-as-code with AWS CDK, plus containerized applications (Docker).
• Experience designing and evolving APIs, including auth, security, and versioning concerns.
• Experience working in a large distributed system with dozens of independent services, potentially written in different languages; ability to quickly get up to speed in unfamiliar code and trace a request's path across multiple services end-to-end.
• Experience with CI/CD pipelines - we currently use Jenkins and are actively migrating to GitHub Actions, so comfort with either (and ideally migration experience) is valuable.
• Ability to use AI coding tools (e.g. Claude Code, Codex, Cursor, or similar) effectively to speed up development, debugging, and code comprehension.
• Strong communication skills; ability to work independently and take ownership of services end-to-end.
• Ability to communicate effectively with the U.S.-based teams and work 11:00 AM - 8:00 PM EEST (11:00 - 20:00).

Bonus Points for:

• Python experience (data tooling, scripting, or services)
• Experience in AdTech or digital advertising/media analytics
• Prior experience in a service migration, decomposition, or platform-modernization effort

Interview Process:

1. Pre-screening (30 mins)
2. Technical Interview (1h)
3. System Design (1.5h)
4. Product Interview (30 mins)
5. Offer.

Simulmedia is seeking an experienced Senior Full Stack Engineer to join our engineering team and help build and improve our products. We build software for TV advertising — campaign management, delivery, and reporting used by advertisers and agencies.

In this role, you will work closely with product managers, designers, and data engineers to deliver features across the stack. The ability to frequently iterate and deliver high-quality work that is owned end-to-end is crucial in this role.

Location: Ukraine is mandatory. Our offices are located in Kyiv and Lviv. Teams are located in Kyiv and Lviv and primarily work remotely with occasional offline meetings.

Key Responsibilities

• Develop both frontend and backend services using React, Next.js, and TypeScript, ensuring seamless integration between components.
• Build robust, scalable APIs using tRPC to serve data to the frontend application.
• Create efficient pages using server-side rendering (SSR) or static site generation (SSG) via Next.js for performance-optimized analytics displays.
• Collaborate with designers to implement responsive and visually appealing user interfaces using Tailwind CSS, ensuring a smooth, intuitive experience for the platform’s users.
• Optimize the full stack to ensure quick load times, low-latency data fetching, and smooth user experiences, especially for data-heavy visualizations and analytics pages.
• Deploy and manage the platform using Vercel, taking advantage of its serverless functions for backend processes and ensuring efficient deployments and scaling.
• Own features end-to-end — from API and data layer through UI to production — with a strong focus on quality and maintainability.
• Participate in code reviews, pair programming, and knowledge-sharing sessions to ensure high-quality, maintainable code.
• Implement unit and end-to-end testing for both frontend and backend components to ensure reliability and reduce bugs in production.

Qualifications

• Education: Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• Experience: 5+ years of senior-level experience in full stack development, with a strong focus on web applications and data-driven platforms.
• Core Languages: Strong proficiency in TypeScript, including strong typing and interface design for scalable codebases.
• Frontend Expertise: Deep understanding of React and its ecosystem, including hooks, functional components, and React Server Components (RSC). Proficiency in Tailwind CSS for building responsive, accessible, and aesthetically pleasing UIs.
• Data Visualization: Experience in building data visualization tools and dashboards using React-based libraries (e.g., D3.js, Chart.js).
• Rendering: Experience with SSR and SSG using Next.js, optimizing for performance and SEO.
• Backend Expertise: Proficiency in backend development (e.g., Bun, Node.js) with tRPC as an API framework. Experience designing and developing APIs, handling authentication, authorization, and security best practices.
• Data Architecture: Proficiency in building scalable and reliable data-fetching layers, especially for real-time or large-scale analytics.
• System Design: Experience designing and evolving scalable web application architectures — APIs, data flow, and frontend/backend boundaries.
• Infrastructure: Experience with serverless architectures, understanding of edge computing, and CDN usage for enhancing performance and reliability. Solid experience with Vercel or other serverless platforms for deployment, CI/CD pipelines, and performance monitoring.
• Testing: Experience with unit and end-to-end testing frameworks such as Vitest, Cypress/Playwright, or similar.
• Version Control: Proficiency in Git, including experience with pull requests, code reviews, and branching strategies.
• Soft Skills: Ability to work independently and collaboratively in a team environment. Strong communication and interpersonal skills.
• Timezone: Ability to communicate effectively with the U.S.-based teams and work 11:00 AM — 8:00 PM EEST (11:00 - 20:00).

Bonus Points For

• Experience with Ruby
• Familiarity with CTV platforms or working experience in digital advertising or media analytics.
• Knowledge of SEO, accessibility, and performance optimization for web applications.

Interview Process

1. Pre-screening (30 mins)
2. Technical Interview (1h)
3. System Design (1.5h)
4. Product Interview (30 mins)
5. Offer.

Client Overview:
Our Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.
The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. 

Requirements:

• 5+ years as a Product Owner in a software development environment
• Strong requirements elicitation, analysis, and documentation across business, functional, and non-functional needs
• Hands-on experience writing clear user stories with acceptance criteria and managing/prioritizing a product backlog
• Experience working in Agile / Scrum / Kanban teams
• Proficiency with Jira (required) and Confluence (or comparable Agile and documentation tooling)
• Familiarity with SaaS business models and cloud-based architectures, with a working understanding of AWS/Azure
• Understanding of REST APIs, integrations, and data flows
• Process mapping and modeling skills (BPMN, flow diagrams)
• Strong stakeholder management, facilitation, and workshop leadership
• Solid understanding of the software development lifecycle (SDLC)
• Strong analytical and problem-solving skills
• Ability to work in a distributed, multi-timezone team (EU, UK)

• Excellent English communication skills, comfortable with both technical and non-technical audiences

   

Nice to Have:

• Experience with AI-assisted development and analysis tools (Copilot, Claude, Cursor)
• Background in enterprise / B2B SaaS, multi-tenant platforms, or large-scale portals
• Experience supporting a platform consolidation, migration, or feature-parity initiative
• Certification such as CBAP, PMI-PBA, or Agile/Scrum (CSM, SAFe) / Product Owner (CSPO)
• Experience with SQL or data querying tools

• Exposure to compliance or regulatory-driven environments (data privacy, security standards)

   

Responsibilities:

• Own, refine, and prioritize the product backlog for the portal feature-parity workstream
• Translate product vision and business objectives into clear, actionable user stories with acceptance criteria in Jira
• Elicit, analyze, and document business, functional, and non-functional requirements
• Facilitate requirements workshops, stakeholder interviews, and discovery sessions
• Lead and support sprint planning, backlog grooming, and release planning
• Ensure requirements traceability from business objective through to delivery
• Collaborate with engineering, UX, DevOps, and QA to clarify requirements and resolve ambiguities
• Document workflows, process diagrams, system interactions, and data flows
• Define KPIs and success metrics for new features and releases
• Support UAT planning and validation to confirm delivered functionality meets business intent
• Identify risks, dependencies, and impacts of proposed changes
• Engage with Client product and engineering counterparts in EU/UK on scope, integration points, and delivery milestones

• Participate in Agile ceremonies (stand-ups, planning, retros, demos)

   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We're looking for a Senior Project Manager / Delivery Manager who will become a key operational leader responsible for managing complex production initiatives, building scalable delivery processes, and ensuring successful collaboration between our clients and internal production teams.

Blue Carrot is a full-service agency established in 2014, specializing in educational content creation and commercial video production. Since the very beginning, we’ve set ourselves in the global marketplace by creating content for esteemed clients like the United Nations, DNB, Takeda, University of Southern California, Charité Medical University, and others. With a diverse portfolio spanning over 300 clients globally, we handle projects of all sizes, from short 60-second explainers to extensive educational courses consisting of over 200 e-learning hours across four languages.

Requirements:

• 4+ years of experience managing complex digital production or software projects.
• Proven experience leading cross-functional teams.
• Experience building operational processes and workflows from scratch.
• Strong understanding of project planning methodologies and delivery management.
• Experience with project estimation, budgeting, and financial tracking.
• Excellent stakeholder management and communication skills.
• Strong organizational and prioritization abilities.
• Experience managing multiple concurrent projects.
• Analytical mindset with excellent problem-solving skills.
• Upper-Intermediate (B2+) English or higher.
• High level of ownership, accountability, and attention to detail.

It will be a strong advantage if you have:

• Experience in e-learning production.
• Experience working with international clients.
• Experience in creative agencies, digital production, SaaS, or software development.
• Familiarity with AI-powered production workflows and automation.

Responsibilities:

1. Project Leadership

• Lead multiple e-learning production projects simultaneously from initiation through delivery.
• Define project scope, objectives, timelines, priorities, and success criteria.
• Build implementation plans and ensure smooth execution across multidisciplinary teams.
• Monitor project health, identify delivery risks, and proactively resolve issues before they impact timelines or quality.
• Ensure projects are delivered on time, within budget, and according to quality expectations.

2. Process & Production Development

• Design and improve scalable production workflows.
• Build project architecture, delivery frameworks, and operational standards.
• Develop documentation, SOPs, production guidelines, and quality requirements.
• Identify bottlenecks and continuously improve production efficiency.
• Introduce new approaches that simplify collaboration and increase delivery capacity.

3. Client & Account Management

• Act as the primary operational contact for assigned clients.
• Lead discovery sessions, project planning meetings, and production briefings.
• Translate business goals into actionable production plans.
• Build long-term client relationships through transparent communication and reliable delivery.
• Ensure high levels of client satisfaction throughout the project lifecycle.

4. Financial & Resource Management

• Prepare project estimations, budgets, and delivery schedules.
• Perform capacity planning across production teams.
• Track project budgets and delivery costs.
• Prepare monthly financial reports and analyze project profitability.
• Optimize resource allocation while maintaining production quality.

5. Team Leadership

• Coordinate cross-functional teams including Project Managers, Instructional Designers, Learning Experience Designers, Developers, QA specialists, Video Producers, and external contractors.
• Support recruitment activities by participating in interviews and candidate evaluations.
• Facilitate onboarding for new team members.
• Provide ongoing feedback, mentorship, and performance evaluations.
• Foster a collaborative, accountable, and solution-oriented team culture.

6. Quality Management

• Establish quality standards across production processes.
• Monitor project deliverables throughout every production stage.
• Implement quality control procedures and continuous improvement initiatives.
• Analyze feedback and lessons learned to improve future delivery.

7. Communication & Reporting

• Maintain regular communication with internal teams and external stakeholders.
• Prepare weekly project status updates.
• Facilitate planning meetings, sprint reviews, retrospectives, and client calls.
• Ensure complete visibility of project progress, risks, priorities, and dependencies.

What We Offer

• Opportunity to work with global organizations and meaningful educational projects.
• A highly professional and collaborative international team.
• Freedom to improve processes and implement your ideas.
• Exposure to cutting-edge AI technologies and modern e-learning production methodologies.
• Challenging projects that require both strategic thinking and operational excellence.
• Flexible remote work environment.
• Long-term cooperation with opportunities for professional growth and increased responsibility.

Why Join Blue Carrot?

You'll have the opportunity to build production systems, influence operational strategy, work directly with international clients, and help shape how complex learning experiences are delivered around the world.

If you're passionate about operational excellence, continuous improvement, and leading projects that make a real impact, we'd love to hear from you.

Are you passionate about building reliable, scalable, and highly available production systems? Do you enjoy solving complex engineering challenges through automation, observability, and software engineering?
Optimove is looking for a Senior Site Reliability Engineer (SRE) to join our global SRE organization. In this role, you'll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

We're looking for a Senior Azure Platform / AI Engineer for a long-term engagement with an enterprise client. You'll work directly with the client's IT and Security teams in a sprint-based model. 

What you'll do:

• Design and maintain Azure infrastructure: AKS, Entra ID, Private Endpoints, VNets, Network Security Perimeters, multi-region
• Deploy and operate AI/ML workloads: Azure OpenAI, AI Foundry, RAG, multi-agent systems, vLLM, embedding pipelines
• Own IaC & CI/CD: Terraform, GitHub Actions, OIDC federation, Helm/Kustomize, secret management
• Data integrations: Microsoft Fabric, PostgreSQL, Python ETL, Power BI API
• Backend/frontend support: Python/FastAPI (async), React + TypeScript (Vite)

Stack:
Azure AKS Entra ID RBAC Key Vault APIM AI Search Azure OpenAI AI Foundry Azure ML Terraform GitHub Actions Helm Microsoft Fabric PostgreSQL FastAPI React TypeScript

Requirements:

• 5+ years of Azure platform engineering
• Strong communication with enterprise clients (English)
• Experience working with IT/Security stakeholders

Nice to have:

• Production AKS & Azure ML model serving
• Azure OpenAI in production
• Locked-down / regulated Azure tenants
• FDE or embedded team experience

Format: Remote, Europe, long-term , sprint model, start ASAP.

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!!

The Mission

Wallee Group is a leader in advanced payment solutions, dedicated to providing robust, scalable, and secure systems across multiple domains. We enhance customer experiences through innovative payment and finance technology that empowers businesses to grow efficiently. With operations spanning several countries, we thrive on collaboration and agility, utilizing the Scrum framework to drive our international teams. At Wallee, we stay at the forefront of market trends, continuously innovating to deliver premier services to our global customers.

The Role

To achieve our mission of providing the market's best payment experience, Wallee is seeking experienced and versatile java software engineers for our Vilnius office. As disruptors in the payment space, we build industry-leading systems that demand the highest standards of security and reliability. We are constantly pushing our solutions into new territories, and we are looking for engineers who thrive in a fast-paced, agile environment to help us redefine the future of finance.

Tasks

Your Impact

• Architect Scalability: Design and develop highly resilient back-end systems using Java, ensuring our infrastructure handles global scale with ease.
• Feature Innovation: Own the end-to-end lifecycle of new features, from initial implementation to refined bug fixing and performance tuning.
• Collaborative Engineering: Work closely with product managers, UX designers, and QA to translate complex business needs into elegant technical solutions.
• Code Excellence: Drive quality through automated testing, rigorous code reviews, and the creation of clear, maintainable technical documentation.
• Stay Ahead: Continuously research and evaluate emerging technologies and methodologies to keep Wallee at the cutting edge of the fintech industry.

Requirements

What You Bring to the Table

• Technical Depth: Advanced proficiency in Java and core frameworks such as Spring, Spring Boot, and Hibernate.
• Systems Thinking: Proven experience building distributed systems and scalable, high-availability solutions.
• Data Mastery: Strong proficiency in SQL and experience managing complex data structures.
• Modern DevOps: Hands-on experience with CI/CD pipelines (Jenkins/GitLab CI) and containerization (Docker, AWS ECS).
• Agile Mindset: A degree in Computer Science (or equivalent experience) and a track record of thriving in fast-paced, Agile environments.

• Bonus Points: Experience with JavaScript, Apache Camel, or BPM engines.

   

  Benefits:

• You are part of an agile, young international team and shape our products sustainably with your ideas.
• You will play a decisive role in designing products in an omni channel payment start-up and work with leading companies in the financial industry on international projects.
• We offer flexible structures and flat hierarchies.
• Cooperation with motivated colleagues and numerous personal development opportunities.

About the role:
We’re looking for a GenAI Engineer to design and build production-grade AI capabilities, including intelligent agents, LLM-powered features, and workflow automation. In this role, you’ll collaborate closely with product, engineering, and design teams to integrate cutting-edge AI technologies into a large-scale, customer-facing product.

You’ll join a US-based team developing one of the world’s leading enterprise video platforms, used by thousands of organizations worldwide for live streaming, virtual events, online training, webinars, and other interactive experiences.
Requirements:

• Strong software engineering background (Python preferred)
• Proven track record of building production-grade GenAI applications
• Hands-on experience with LLMs, RAG, AI agents, vector databases, and AI orchestration frameworks
• Practical experience with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, or similar AI platforms
• Strong system design and problem-solving skills
• Upper-Intermediate English (B2+) or higher 

Nice to Have

• Experience with AWS and cloud-native applications
• Exposure to MCP, AI automation, or multimodal AI 

Responsibilities

• Build AI-powered features using modern LLMs
• Develop AI agents, tool-calling workflows, and RAG systems
• Integrate AI capabilities with enterprise products through APIs and MCP
• Optimize prompts, model performance, and AI quality
• Collaborate with Product, Engineering, and Design teams to deliver production-ready AI solutions 

What We Offer

• Work on production AI features with real user impact in a flexible, Agile, multinational team where innovation and collaboration drive everything we do
• Continuous learning and professional growth alongside top talent in the global tech industry
• Hybrid work model, combining remote work with time in our Lviv office
• Daily collaboration with native English speakers, providing a natural opportunity to strengthen your English in a professional environment
• 18 working days of paid vacation, 10 working days of paid sick leave, and 11 paid Ukrainian public holidays

We are a climate-tech product team building a multi-tenant SaaS platform. We are scaling into enterprise customers and want an experienced architect to help us design the platform for that next stage.

This is a focused, well-scoped engagement with clear goals, not an open-ended retainer. You will work directly with the project lead.

What you will do

• Design multi-tenant resource isolation so workloads stay predictable as customer count and data volume grow.
• Architect the async and background-processing model for long-running, data-heavy operations.
• Design and implement high availability for the data tier, including replication and verified backup and restore.
• Mature the deployment pipeline for deterministic, auditable releases.
• Define the service-level indicators that reflect real customer experience, and build the observability to measure them.
• Right-size cloud resources against measured usage and introduce autoscaling.
• Load and capacity testing at realistic data volumes.
• Give us your long-term view on cloud strategy. We are on Azure and are not planning to migrate, but we want an architect's assessment to plan against.

What we are looking for

• 5+ years in cloud architecture, platform engineering or SRE, with real design ownership on at least one production system.
• Multi-tenant SaaS experience. You have solved noisy-neighbour and tenant-isolation problems before and have views on how.
• Strong production Kubernetes: Helm, resource management, autoscaling, disruption budgets, rolling-update strategy.
• Azure preferred, ideally AKS. Equivalent depth on AWS or GCP is fine.
• MongoDB operations at production scale: replication, migrations, backup and restore verification.
• Prometheus, Grafana, Alertmanager, Loki. Able to design meaningful alerting, not just install exporters.
• Terraform and CI/CD pipeline design.
• Able to read Node.js well enough to reason about where memory and time go.
• Comfortable disagreeing with a proposed design and explaining why.
• English sufficient for written technical discussion and calls.

Nice to have

• GitOps in production (Argo CD or Flux).
• Load testing with k6 or JMeter.
• Exposure to blockchain infrastructure or carbon markets. Genuinely optional, we will teach the domain.

Our client is a lean, founder-led venture-building studio and family office running a portfolio of businesses across events, hospitality, luxury consumer, media, and investments. The company is building AI-first operating systems so a small team can run multiple businesses at once — removing repetitive admin, improving decision-making, and keeping headcount deliberately low. 

The studio needs one hands-on technical owner for AI and automation across the whole portfolio. Some automations already exist; the mandate is to take them over, rebuild what needs rebuilding, and own a clean, maintainable stack end to end. There is no technical manager above you — you work directly with the founder and the commercial lead, and the architecture decisions are yours.

What you'll work on

AI development & automation — 80%

• AI research agents: vendors, sponsors, guests, brands, venues, market opportunities
• Screening and scoring systems that combine scraped data with hard metrics and business criteria
• Inbox triage, summarisation, and routing; multi-inbox monitoring with decision-ready daily summaries
• Systems that turn unstructured founder inputs (screenshots, voice notes, links) into recommendations and routed tasks
• CRM and outreach workflows, dashboards and trackers, calendar and recurring-task automations

No one has built all of this — what matters is a track record with comparable use cases and the ability to transfer it to new problem types. Expect a fast cadence: first automation live within 30 days, several production workflows by 60–90 days.

Technical generalist — 20% (~1 day/week)

• Keep the operational stack running: Notion (incl. Notion AI), Google Workspace, HubSpot, access management, integrations, troubleshooting, data cleanup

Requirements

• Shipped production automations or AI-powered tools in a real business context — not side projects, demos, or hackathon builds
• Practical fluency with LLMs, APIs, and at least one automation platform (Make, n8n, Zapier, or similar)
• Python or equivalent scripting ability — many builds are achievable low-code, but candidates who can write and debug their own scripts have a higher ceiling
• Experience with vector search, RAG, agent frameworks, function calling, and workflow orchestration
• Ability to design workflows with human approval points, exception handling, logging, and error recovery — systems that fail gracefully and visibly, not silently
• Strong documentation habits — your systems must be maintainable and understandable by non-technical colleagues
• Comfort with ambiguity, shifting priorities, and working independently without full specs or a technical escalation path
• English sufficient for daily written and spoken communication (B2+)

Nice to have

• Experience building internal tools for executives, family offices, venture studios, agencies, or lean startups
• HubSpot or comparable CRM experience

Location requirements

• Fully remote, but your working day must overlap with UK time (GMT/BST) for 6–8 hours daily
• An additional ~2-hour overlap with Malaysia time (GMT+8) is a plus

What to expect

• Greenfield mandate: build and own the AI stack; genuine autonomy, no stakeholder committees
• Cross-portfolio ownership — your systems run real businesses across events, media, luxury, and investments
• Direct access to the founder from day one; radically lean process: a call → a decision → execution
• An expanding role: new ventures continuously add projects, with the prospect of support hires under you as the stack grows

Interview process

1. Recruiter screen (incl. a short portfolio example of an automation you built)
2. Interview with the client
3. Practical assessment
4. Final interview with the founder

Terms

• Remote-first contractor engagement; own equipment required
• 28 days PTO per year, taken freely — covers vacation, sick leave, and holidays in a single policy
• Business travel expenses covered when required