ApomSolutions

Role Overview
 

We are seeking a hands‑on NetSuite Administrator to support and expand our enterprise ERP capabilities. The ideal candidate configures, maintains, and optimizes NetSuite for complex business processes, works closely with corporate clients, and translates operational needs into system solutions.
 

Responsibilities:
 

• Administer and configure NetSuite: roles, permissions, workflows, saved searches, dashboards.
• Support business processes across inventory, supply chain, order-to-cash, and sales cycles.
• Deliver client-facing consulting: gather requirements, map processes, propose system changes.
• Implement integrations and data work: CSV imports, RESTlets/SuiteTalk, data migrations, and reporting.
• Extend platform via SuiteScript/JavaScript and SuiteFlow for automation and customizations.
• Own releases to production: testing, documentation, monitoring, and post‑release support.
   

Must Have
 

• 3+ years of hands‑on NetSuite administration in enterprise environments.
• Strong knowledge of SuiteScript (JavaScript), SuiteFlow, saved searches, and reporting.
• Experience with integrations and data management (RESTlets, SuiteTalk, CSV imports).
• Client‑facing experience and ability to translate business requirements into NetSuite solutions.
• Good understanding of inventory, order management, and supply chain processes.
   

Advantage

• Experience in Retail or Fashion operations.
• Background in NetSuite development, analytics, or building data pipelines around NetSuite.
• Familiarity with SuiteAnalytics, SuiteBundler, and third‑party integration tools.
   

What success looks like

Deliver reliable, well‑documented NetSuite configurations and integrations that streamline client operations, reduce manual work, and enable scalable business processes.

Experience in Retail environments, and especially Fashion, would be a significant advantage

About project: Mobile marketing and audience platform

Project: sell-side omnichannel advertising platform powered by real-time mobile audiences. We deliver hundreds of millions of ads per day across thousands of global leading apps and websites. Our platform uses AI to deliver more efficient, effective and precise digital advertising campaigns. Our direct integration with thousands of mobile publishers gives us access to more than 50 billion first-party data signals per day across the globe. Marketers use these anonymized signals to understand and predict consumer behavior, identify new opportunities and fuel business growth.
 

Role Overview:

If you’re a talented Data Scientist looking to be part of a fast-growing, innovative R&D team, shape the future of decision-making in business, work on cutting-edge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk!

Our mobile data platform enables organizations to uncover insights and make data-driven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team.
 

Responsibilities:

• Analyze large and complex data to discover hidden patterns and opportunities.
• Develop and own end-to-end highly scalable data pipelines.
• Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields.
• Provisioning data models for real-time (online) processing
• Shape new data products, and constantly improve the existing products.
• Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions.
• Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.

Requirements:

Must:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields.
• 6 years as a Data Scientist - a strong background in ML concepts and models.
• Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.)
• Understanding of databases and SQL for data retrieval.
• Monitoring and alerting tools (e.g. Grafana, Kibana)
   

Advantage:

• Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage.
• Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases.
• Experience with PMML
  
  Interview process: 2-3 stages (technical/test task and interpersonal + HR).

Description

About project: Mobile marketing and audience platform
 

Leading mobile marketing and audience platform, empowers the app ecosystem with cutting-edge solutions in mobile marketing, audience building, and monetization. With integration into over 500,000 monthly active apps and a global reach, our team leverages first-party data to deliver impactful and scalable advertising solutions.
 

We’re looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.
 

Our platform empowers the mobile app ecosystem, simplifying mobile marketing, audience building, and mobile monetization. With direct integration into over 500,000 mobile apps, our platform processes enormous volumes of first-party data to drive intelligent, real-time decisions that fuel growth for our partners.
 

You’ll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic - all while maintaining extreme performance and reliability requirements.

Job Description:
 

· Own and lead the design and development of low-latency Algo inference services handling billions of requests per day

· Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs

· Collaborate closely with DS to deploy models seamlessly and reliably in production

· Design systems for model versioning, shadowing, and A/B testing at runtime

· Ensure high availability, scalability, and observability of production systems

· Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques

· Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.
 

Requirements
 

· B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical discipline

· 5+ years of experience building high-performance backend or ML inference systems

· Deep expertise in Python and experience with low-latency APIs and real-time serving frameworks (e.g., FastAPI, Triton Inference Server, TorchServe, BentoML)

· Experience with scalable service architecture, message queues (Kafka, Pub/Sub), and async processing

· Strong understanding of model deployment practices, online/offline feature parity, and real-time monitoring

· Experience in cloud environments (AWS, GCP, or OCI) and container orchestration (Kubernetes)

· Experience working with in-memory and NoSQL databases (e.g. Aerospike, Redis, Bigtable) to support ultra-fast data access in production-grade ML services

· Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and best practices for alerting and diagnostics

· A strong sense of ownership and the ability to drive solutions end-to-end

· Passion for performance, clean architecture, and impactful systems

Interview process: 2-3 stages (technical/test task and interpersonal + HR).

Client is a leading CPQ (Configure Price Quote) and revenue execution platform that automates complex quoting, contract management, and subscription billing for enterprise sales teams. The company helps businesses accelerate their sales cycles and improve deal accuracy through AI-powered automation and seamless CRM integrations.

Responsibilities:

• Hands-on angular development.
• Integrate testing best practices in our product
• Identify and address performance issues
• Interact with our back-end systems
• Develop and grow the frontend team, and mentor junior developers.
• Work closely with the founding team and product managers
• Innovate, Learn, and Teach
   

Requirements

• At least 7 years of experience in front-end development
• Deep knowledge Experience in Angular
• Deep knowledge and understanding of front-end architecture and experience in building large-scale web applications
• Experience with Angular CLI, Angular testing (Jasmine, Karma), and Webpack (advantage)
• Deep understanding of the web environment and how it works.
• Experience in working with complex projects and hands-on experience in building scalable, highly available, and responsive web applications.
• Have a passion for UI/UX
• Comfortable working in a fast-paced environment.
• Excellent communication skills and ability to drive requirements
• BSc. in Computer Science or equivalent experience.
   

Upper rate range: B2B T&M cooperation

Client is a leading CPQ (Configure Price Quote) and revenue execution platform that automates complex quoting, contract management, and subscription billing for enterprise sales teams. The company helps businesses accelerate their sales cycles and improve deal accuracy through AI-powered automation and seamless CRM integrations.

Responsibilities:

• Hands-on angular development.
• Integrate testing best practices in our product
• Identify and address performance issues
• Interact with our back-end systems
• Develop and grow the frontend team, and mentor junior developers.
• Work closely with the founding team and product managers
• Innovate, Learn, and Teach
   

Requirements

• At least 7 years of experience in front-end development
• Deep knowledge Experience in Angular
• Deep knowledge and understanding of front-end architecture and experience in building large-scale web applications
• Experience with Angular CLI, Angular testing (Jasmine, Karma), and Webpack (advantage)
• Deep understanding of the web environment and how it works.
• Experience in working with complex projects and hands-on experience in building scalable, highly available, and responsive web applications.
• Have a passion for UI/UX
• Comfortable working in a fast-paced environment.
• Excellent communication skills and ability to drive requirements
• BSc. in Computer Science or equivalent experience.
   

Upper rate range: B2B T&M cooperation

About the Role

The client is developing a mobile loyalty platform for gamers, focused on game discovery, social interaction, and rewarding user engagement through a gamified experience.

The product already has tens of thousands of daily active users and features over 100 games on the platform. The company is in an active growth phase and is expanding its core engineering team to further scale the mobile application and improve product quality.

Responsibilities

• Build and maintain the iOS version of the mobile application using Swift
• Work with Kotlin Multiplatform for shared business logic
• Collaborate closely with the Android team on a modern, scalable mobile architecture
• Contribute to a high-quality, gamified user experience
• Participate in technical discussions, architecture decisions, and code reviews

Requirements

• 5+ years of software engineering experience
• 3+ years of experience developing production-grade native iOS applications using Swift
• Strong understanding of clean code, SOLID principles, and testing practices
• Experience with MVC / MVVM architectural patterns
• Good knowledge of iOS platform features and limitations

Nice to Have

• Experience with Kotlin Multiplatform (KMP)
• Background in consumer mobile applications, gaming, or gamification

We are looking for a hands-on DevOps / SRE engineer to join our engineering team and help improve reliability, scalability and observability of a production cloud infrastructure.

This role is very практичний: багато troubleshooting, production issues, performance tuning і автоматизації. Ви будете працювати разом з розробниками і DevOps-командою над стабільністю сервісів та CI/CD процесів.

What you will do

• Maintain and improve Kubernetes production clusters (cloud environment)
• Troubleshoot incidents and perform root cause analysis
• Improve monitoring, alerting and observability
• Optimize CI/CD pipelines
• Automate operational tasks
• Work closely with developers on production deployments
• Improve system reliability and performance

Must have

• 3+ years experience as DevOps / SRE / Infrastructure engineer
• Strong Linux skills
• Hands-on Kubernetes administration (not only deployments)
• Cloud experience (AWS / Azure / GCP)
• Experience with CI/CD (Jenkins / GitLab CI / GitHub Actions)
• Scripting: Bash / Python / Go
• Monitoring: Prometheus + Grafana
• Experience troubleshooting production issues
• Understanding of containers and Docker
• Good communication skills and ability to work in a team

Nice to have (big plus)

• Experience with OpenTelemetry (tracing/metrics)
• Java applications in production
• Maven / Gradle
• JVM basics (memory, GC)
• Elasticsearch cluster maintenance
• MongoDB in production