Simulmedia

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.

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.

Simulmedia is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through analytics and machine learning. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.

We are seeking a motivated Middle Data Scientist to join our data science team. The ideal candidate has solid experience with supervised machine learning, strong analytical skills, and is comfortable working with real-world, large-scale data. In this role, you will contribute to building, improving, and maintaining machine learning models that support our advertising products and business decisions.

This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Key Responsibilities:

• Develop and maintain supervised machine learning models to support ad targeting, measurement, and campaign optimization.
• Perform data analysis, data validation, and feature engineering on large and complex datasets.
• Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions.
• Evaluate model performance using appropriate metrics and iterate on model improvements.
• Support optimization and experimentation efforts related to advertising performance.
• Assist with deploying models to production in collaboration with engineering teams.
• Monitor model performance and help troubleshoot issues in production.
• Communicate results, insights, and limitations to both technical and non-technical stakeholders.
• Stay up to date with industry best practices in data science and machine learning.

Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

Experience:

• 2–4 years of experience in data science, machine learning, or a related analytical role.
• Hands-on experience applying machine learning to real business problems.

Technical Skills:

• Proficiency in Python.
• Solid experience with SQL and relational databases.
• Experience with machine learning libraries such as scikit-learn. Experience with TensorFlow or PyTorch is a plus.
• Good understanding of supervised learning techniques such as linear regression, logistic regression, and tree-based models including decision trees, random forests, and gradient boosting.
• Experience with data manipulation and analysis using pandas and NumPy.
• Familiarity with model evaluation techniques and performance metrics.
• Basic understanding of working with production systems or machine learning pipelines is a plus.

Other Skills:

• Strong analytical and problem-solving abilities.
• Ability to work independently while collaborating within a team.
• Clear communication skills and ability to explain technical concepts simply.
• Strong organizational skills and attention to detail.
• Comfortable communicating with U.S.-based teams.