ApomSolutions

We are looking for a hands-on NetSuite Administrator / Consultant to support and expand enterprise ERP capabilities. In this role, you will configure and optimize NetSuite for complex business processes, work closely with corporate clients, and translate operational needs into scalable 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
• Work directly with clients: gather requirements, map processes, propose system improvements
• Implement integrations and manage data: CSV imports, RESTlets, SuiteTalk, data migrations, reporting
• Extend the platform using SuiteScript (JavaScript) and SuiteFlow for automation and customizations
• Own production releases: testing, documentation, monitoring, and post-release support

Requirements

• 3+ years of hands-on NetSuite administration experience in enterprise environments
• Strong knowledge of SuiteScript, SuiteFlow, saved searches, and reporting
• Experience with integrations and data management
• Client-facing experience and ability to translate business requirements into system solutions
• Understanding of inventory, order management, and supply chain processes
• English — Upper-Intermediate+

Nice to Have

• Experience in Retail or Fashion environments
• Background in NetSuite development, analytics, or building data pipelines around ERP systems
• Familiarity with SuiteAnalytics, SuiteBundler, or third-party integration tools

What success looks like

You will deliver reliable and well-documented NetSuite configurations and integrations that streamline client operations, reduce manual work, and enable scalable business processes.

Senior Site Reliability Engineering position 
Location: Remote
Industry: Computer and Network Security
Employment type: Full time / Contractor B2B

Summary

We are hiring a Senior SRE Specialist to manage deployments and keep our platform running smoothly across Azure and on‑premise environments. You will work directly with customers during live troubleshooting, own operational stability, and deliver targeted improvements.

Primary Responsibilities:

• Manage deployments across Azure and on‑premise infrastructure.
• Operate and maintain production systems at scale to ensure availability and performance.
• Respond to and resolve customer support tickets and join live troubleshooting sessions.
• Implement and improve CI/CD pipelines, container workflows, and automation.
• Collaborate with engineering teams to deliver ad hoc fixes and infrastructure improvements.
• Document operational procedures and contribute to runbooks and incident postmortems.

Requirements and Nice‑to‑Have

Required

• Senior level: 5+ years of relevant experience (ideally 7–8 years).
• Strong C# programming skills and solid software architecture fundamentals.
• Experience with production systems at scale.
• Direct customer‑facing experience for high‑level troubleshooting.
• Azure experience (must have some Azure exposure).
• Container knowledge: Docker and Kubernetes experience.
• CI/CD experience and familiarity with pipeline automation.
• Excellent communication skills and ability to work remotely.
   

Preferred / Nice‑to‑have

• Strong AWS background acceptable if accompanied by Azure experience.
• PowerShell scripting experience.
• Hands‑on experience with multiple pipeline technologies and infrastructure as code.

What We Offer

• Work on a mission‑critical product used by thousands of enterprises.
• Remote and flexible work arrangements.
• Direct customer engagement with visible impact on product stability.
• Competitive contractor terms for B2B engagements.

Company and Project Mission:

We are a global exposure management company protecting more than 40 000 customers with an AI‑powered platform that unifies visibility, insight, and action across the attack surface. The team’s mission is to keep the product in optimal operational condition by managing support tickets, ensuring system stability, and delivering targeted improvements to meet customer needs.

We are looking for a strong Front-End Engineer to join a fast-growing product company and work on building complex, scalable web features end-to-end.

You will be part of a core development team working closely with product managers and founders to deliver high-impact functionality in a modern SaaS platform.

What you will do

• Develop new features using Angular (v18+)
• Improve performance and scalability of the frontend
• Work closely with backend teams and integrate APIs
• Apply testing best practices (unit/integration)
• Participate in architectural decisions
• Mentor junior engineers and contribute to team growth
• Support production stability and take part in on-call rotations

Requirements

• 4+ years of Front-End development experience
• Strong hands-on experience with Angular (version 18 or higher)
• Deep understanding of frontend architecture and modern web stack
• Experience building scalable, high-load web applications
• Experience with Angular CLI and testing frameworks (Jasmine / Karma — advantage)
• Good understanding of performance optimization
• Strong communication skills and product mindset
• Comfortable working in a fast-paced environment

Nice to have

• Experience with Webpack
• Passion for UI/UX
• Computer Science degree or equivalent experience

We are looking for a strong Python Backend Engineer to lead the development of next-generation real-time inference services in a large-scale mobile data platform.

The system processes billions of requests daily and requires extremely low latency, high throughput, and strong reliability. This role sits at the intersection of backend engineering, distributed systems, and ML model serving.

⚠️ Important: This role is focused on building inference infrastructure and real-time decision services, not on model training or algorithm research.

We are looking for an engineer who can design and scale high-performance distributed backend systems that run ML models in production and apply business logic on top of model outputs.

Responsibilities

• Design and develop low-latency real-time inference services
• Build scalable decision engines combining ML predictions with dynamic business logic
• Integrate services with feature stores and high-performance data layers
• Implement model versioning, shadow deployments, and runtime A/B testing
• Ensure high availability, observability, and performance of production systems
• Optimize latency, throughput, and infrastructure efficiency
• Collaborate with Data Science, Infrastructure, Product, and Engineering teams
• Propose and drive architecture improvements for distributed systems

Requirements

• 5+ years of experience as a Python Backend Engineer / Distributed Systems Engineer
• Strong experience building real-time or high-load backend systems
• Experience with low-latency APIs and async architectures
• Experience with ML model serving frameworks (FastAPI / BentoML / Triton / TorchServe or similar)
• Strong understanding of distributed systems architecture and message queues (Kafka / PubSub)
• Experience with cloud environments (AWS / GCP / OCI) and Kubernetes
• Experience with in-memory or NoSQL databases (Redis, Aerospike, Bigtable, etc.)
• Understanding of MLOps concepts and model deployment lifecycle
• Strong ownership mindset and ability to work independently
• Fluent English and strong communication skills

Nice to Have

• Experience building custom inference platforms
• Experience working with feature stores
• DevOps background
• Experience in high-scale product environments (AdTech / data platforms / real-time systems)
• Strong focus on performance optimization and system design

Hiring Process

• 2 stages: technical + interpersonal

We are looking for a strong Full-Stack Engineer to join a global product company in the automotive cybersecurity domain.
You will work on building secure, scalable web applications that support platforms protecting connected vehicles and mobility systems.

What you will do

• Develop and maintain full-stack features using Node.js (TypeScript), React and Vue
• Build and optimize backend services and APIs (REST / GraphQL)
• Create modern and user-friendly frontend interfaces
• Work on performance, scalability and security of production systems
• Collaborate with R&D, DevSecOps and security teams
• Contribute to architecture and product improvements

Requirements

• 4+ years of experience in full-stack development
• Strong knowledge of Node.js, React, Vue, TypeScript
• Experience building scalable web applications and microservices
• Understanding of secure coding practices
• Experience with cloud platforms (AWS / Azure / GCP)
• Good English (international team)

Nice to have

• Experience in cybersecurity / DevSecOps environments
• Background in IoT, automotive or embedded systems
• Familiarity with standards like ISO/SAE 21434 or UNR 155/156

We are looking for an experienced Embedded Engineer to join a long-term project focused on the development of a high-end Software Defined Radio (SDR) product that has already entered commercial production and is being sold in hundreds of units. The candidate must have a strong RF orientation, preferably with hands-on experience in Software Defined Radio (SDR).

The product is a complex embedded system combining RF, FPGA, NXP processors, and high-performance networking components. You will work on core system software responsible for real-time data processing, control planes, and high-speed data paths.

This is a long-term project with no location restrictions — candidates from Ukraine and other regions are welcome.

Responsibilities

• Design and develop embedded software for an SDR platform based on NXP processors
• Implement user-space and kernel-space software components
• Build and maintain high-speed data paths inside the SDR and between external devices (PC, cloud)
• Develop and operate control planes (internal SDR logic and external integrations)
• Work on real-time software with strict performance and latency requirements
• Implement data processing pipelines using UDP/TCP/DPDK
• Ensure secure data handling (VPNs, encryption, ciphering activation)
• Collaborate within a system that includes FPGA-based processing (FPGA coding not required)
• Debug complex real-time and high-performance systems
• Participate in system-level design and optimization

Requirements

• Strong experience with embedded Linux and NXP processors
• Solid understanding of real-time software development and highly efficient C/C++ code
• Deep knowledge of networking protocols and data transport
• Hands-on experience with DPDK, UDP/TCP, and high-throughput networking
• Experience working with complex embedded systems and real-time processing
• Strong debugging skills in real-time and low-level environments
• Proficiency in C / C++, with working knowledge of Python
• Understanding of software lifecycle management, including:
  • Secure software images
  • Field-deployed software upgrades
  • Monitoring and maintenance
• Good level of English for technical communication

Nice to Have

• Knowledge of RF systems and RF signals
• Understanding of time synchronization technologies (GNSS, IEEE 1588, clock synchronization)
• Experience with security-related networking features

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
 

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

· 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).