ApomSolutions

Role Overview

We are seeking an experienced Senior Bentley BIM Engineer to serve as a key technical leader in delivering complex infrastructure BIM models. This role involves leading multidisciplinary 3D delivery, integrating complex datasets, and ensuring high-quality, standards-compliant outputs across large-scale projects.

Key Responsibilities

Lead 3D Delivery
Develop, federate, and deliver multidisciplinary models (roads, rail, utilities) using OpenRoads Designer, OpenBuildings Designer, MicroStation, and Civil 3D.

Integrate Complex Data
Combine reality capture data (LiDAR, drone surveys, ContextCapture), surveyed topography, and Subsurface Utility Engineering (SUE) datasets into coordinated, clash-free models.

Drive Geospatial Accuracy
Manage coordinate systems, terrain surfaces, and utility quality levels (QL D–A) to ensure high-fidelity, construction-ready models.

Ensure Quality & Compliance
Act as the technical authority for QA/QC, clash detection, and compliance with ISO 19650. Ensure proper metadata integration and alignment with client BIM Execution Plans and delivery standards.

Mentor & Innovate
Guide and support junior modelers globally, enhance BIM workflows, and contribute to digital twin readiness within the Bentley Systems ecosystem.

Requirements

Experience

• 10+ years in infrastructure BIM modeling
• 6+ years leading large-scale civil, rail, or utility projects

Bentley Expertise

• Advanced, hands-on experience with:
  • OpenRoads Designer
  • OpenBuildings Designer
  • MicroStation CONNECT Edition
  • iTwin Platform

Data & Collaboration

• Strong experience with ProjectWise
• Proven ability to produce and manage federated 3D models

Technical Knowledge

• Solid understanding of surveying, SUE workflows, and mapping standards
• Strong ability to interpret construction documents and shop drawings

Client & Standards Integration

• Experience defining asset data exchange requirements with clients
• Ability to integrate metadata and adapt models to client-specific standards
• Experience working with coordinate systems, grids, workspaces, worksets, and seed file standards

Nice-to-Have Skills

Workflow Optimization & Automation

• Strong Excel and Bluebeam Revu skills
• Experience with Python scripting or Bentley SDK

Cross-Platform Coordination

• Familiarity with Autodesk Construction Cloud (ACC)
• Experience with Revit, Navisworks
• Knowledge of ArcGIS Pro

Advanced Bentley Tools

• OpenRail, OpenUtilities Designer, OpenGround
• Generative Design workflows

Data & Reality Capture

• Photogrammetry and metadata management
• Automation and scripting experience

We’re looking for a Senior Data Scientist to join a fast-growing R&D team working with large-scale, real-time data in the AdTech domain.

This is not a pure research role — we need someone who can take ownership end-to-end: from idea → modeling → production.

About the Role

You’ll work on high-load systems processing billions of requests, building data-driven solutions that directly impact large-scale digital products and decision-making.

Responsibilities

• Analyze large-scale, complex datasets to uncover insights and opportunities
• Design and build scalable data pipelines
• Develop and deploy ML models (classification, regression, recommendation systems)
• Work with real-time (online) data processing systems
• Improve existing data products and create new ones
• Collaborate with Product, BI, Engineering, DevOps, and Marketing teams
• Own the full lifecycle: research → implementation → production → monitoring

Requirements (Must-have)

• 4+ years of experience as a Data Scientist (6+ preferred)
• Proven experience in AdTech / programmatic advertising
• Hands-on experience with high-load systems (billions of requests)
• Experience working in real-time environments
• Strong background in Machine Learning (tree-based models, recommendation systems)
• Solid Python skills with ML libraries (e.g., XGBoost, LightGBM)
• Strong SQL and data querying skills
• Experience with monitoring tools (e.g., Grafana, Kibana)
• Ability to work end-to-end (research → production)
• English level: C1 (Advanced) with strong communication skills

Nice to Have

• Deep understanding of AdTech ecosystem (DSPs, SSPs, Ad Exchanges)
• Experience with databases like Vertica, VoltDB, MongoDB
• Familiarity with PMML                                                                        Hiring Process
• Technical interview
• Home assignment
• HR interview

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 Data Analyst to join a global product team working on a large-scale mobile marketing platform.
This role focuses on performance analysis, experimentation, and data-driven decision making in a high-load AdTech environment.

You will help identify where the system is losing value, design meaningful metrics, and provide insights that directly impact product and data science decisions.

Responsibilities

Analysis & Insights

• Analyze campaign performance and system behavior
• Identify inefficiencies in pricing, pacing, and traffic selection
• Break down complex performance data into clear, actionable insights

Experimentation

• Define and calculate key metrics (including intermediate metrics)
• Analyze A/B tests and interpret results
• Ensure fair experiment conditions (budget, traffic, etc.)

Data Exploration

• Investigate data quality issues and anomalies
• Build datasets to support modeling and experimentation
• Explore new signals, features, and opportunities

Collaboration

• Work closely with Data Science, ML Engineers, and Product teams
• Translate analytical findings into business recommendations

Current Focus Areas

• Pricing & Budget Scalability — scaling budgets while maintaining performance
• User Selection Optimization — improving conversion rates (CVR) through targeting
• Exploration Efficiency — reducing wasted budget during exploration
• Incrementality Measurement — measuring true lift vs attributed performance
• Fraud Detection & Filtering — improving traffic quality

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or similar
• ~2 years of experience in a data-related role
• Strong knowledge of statistics, A/B testing, and data analysis
• Experience working with large datasets and performance metrics
• Ability to explain complex data in a clear and structured way
• Strong problem-solving skills and proactive mindset

Nice to Have

• Experience in AdTech / marketing / auctions
• Understanding of incrementality and attribution models
• Internship or experience in high-scale data environments

What Success Looks Like

• You clearly identify where the system is underperforming
• Your analysis drives experiments and product decisions
• You build reliable metrics, dashboards, and insights that improve system performance

About the Role

This is a great opportunity for a Data Analyst who wants to work on real-time, high-scale systems, collaborate with Data Science teams, and directly influence product performance through data.

About the role

We are looking for a Senior Data Scientist to lead the evolution of machine learning systems within a high-scale AdTech ecosystem.

This is not a “campaign optimization” role. You will work on the core decision-making systems (DSP level) — where pricing, bidding, pacing, and experimentation interact in real time across billions of events per day.

You will be shaping the “brain” of the platform: a set of interconnected systems where small improvements can have a large business impact.

What you’ll work on

• Pricing & Budget Scalability
  Scale budgets while maintaining performance and controlling overspend
• User Selection Optimization
  Improve CVR through smarter targeting and traffic selection
• Exploration Efficiency
  Reduce wasted spend while preserving learning
• Incrementality Measurement
  Measure true lift vs attributed performance
• Fraud Detection & Filtering
  Improve traffic quality and filtering strategies

What we expect from you

System-level thinking

• Ability to reason about interacting systems, not isolated models
• Understanding of:
  • auction dynamics
  • bidding vs pacing trade-offs
  • feedback loops between models
• Seeing problems beyond segmentation or heuristics

Strong experimentation mindset

• Designing experiments, not just running A/B tests
• Experience with:
  • metric design (proxy vs north star)
  • online vs offline evaluation gaps
  • interference and auction effects
• Ability to translate system changes into measurable impact

Ownership & impact

• Proven track record of driving business impact, not only building models
• Ability to explain:
  • expected vs actual impact
  • why results differ
• Performance accountability mindset

AdTech domain understanding

• Solid understanding of:
  • targeting vs bidding vs supply dynamics
• Experience working close to DSP / auctions/pricing systems

Collaboration maturity

• Ability to work across DS, MLE, and Product
• Understanding trade-offs and constraints
• Experience making decisions in ambiguous environments

Core responsibilities

• Turn ambiguous problems into testable hypotheses
• Design and run offline analysis + online experiments
• Use intermediate metrics to understand system behavior
• Build prototypes and iterate quickly
• Identify where system-level improvements are required
• Collaborate across teams to drive end-to-end impact

Requirements

• 5+ years in Data Science / Machine Learning
• Strong experience in high-frequency systems (AdTech / FinTech / similar)
• Python & SQL proficiency
• Experience with big data tools (Spark, Snowflake, etc.)
• Strong ML background (TensorFlow, PyTorch, or similar)
• Solid foundation in:
  • probability
  • statistics (frequentist / Bayesian)
  • causal inference
• Master’s or PhD in a quantitative field

Nice to have

• Experience with DSP / auctions / pricing systems
• Experience with large-scale experimentation

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 8 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

We are looking for a skilled and motivated DevOps Engineer to join our client's Infrastructure & Platform team. Their department is the backbone of the entire development process — they design, implement, and maintain the processes, methodologies, and technologies that power the platform, ensuring high standards of quality, performance, security, availability, and agility.
 

What You'll Be Doing:

• Develop and maintain robust CI/CD pipelines
• Design, implement, and maintain scalable cloud infrastructure (AWS & GCP)
• Identify and minimize reliability and security-related risks
• Perform infrastructure performance analysis and optimization
• Build tools for monitoring, testing, and system diagnostics
• Collaborate closely with development teams to support their needs
   

What We're Looking For:

• 2+ years of hands-on DevOps experience in Cloud or SaaS environments (AWS & GCP required)
• Proven experience with High Availability, Scalability, and Reliability solutions
• Solid networking knowledge
• Experience building and maintaining CI/CD pipelines
• Proficiency in scripting — Bash and/or Python
• Experience managing Infrastructure as Code (IaC) stacks
• Hands-on experience with Kubernetes
• Strong communication, collaboration, and problem-solving skills
• Comfortable working remotely, including on-call shifts
• Fluent in English
   

Nice to Have:

• Multi-Cloud architecture experience
• Understanding of Application Lifecycle Management (ALM)
• Experience with CDNs
• Familiarity with databases — MongoDB, PostgreSQL

About the Role

We are looking for a Senior ML/Ops Engineer to join a core algorithmic platform team building real-time ML inference systems at massive scale.

This is a highly technical, hands-on role focused on designing and operating production-grade ML systems, not research. You will work on systems that handle high throughput and strict latency requirements, with full ownership across backend, ML, and infrastructure layers.

Responsibilities

• Design, build, and maintain real-time ML inference services
• Develop and scale backend systems in Python
• Own end-to-end ML systems (architecture, services, pipelines, infrastructure)
• Integrate ML models into production services and business logic
• Optimize systems for low latency and high throughput
• Work with streaming systems and event-driven architectures
• Ensure system reliability, monitoring, and performance in production
• Collaborate closely with Data Scientists and engineering teams

Tech Stack

• Python (core language)
• Kafka / streaming systems
• Kubernetes, AWS / GCP
• FastAPI, Triton or similar inference frameworks
• Feature stores, model serving, A/B testing, monitoring tools
• High-performance data stores (Redis, Aerospike, etc.)

Requirements

• Strong backend engineering background in Python
• Hands-on experience with MLOps and production ML systems
• Experience building and owning end-to-end systems
• Experience with real-time / low-latency systems
• Experience working with high-scale environments (large traffic, high throughput systems)
• Strong system design skills (APIs, inference services, SLAs)
• Solid understanding of the ML lifecycle (training → deployment → monitoring)

Ideal Background

• Started as a Backend Engineer (Python) and transitioned into ML Engineering / MLOps
• Built production-grade ML services, not just pipelines
• Experience in high-scale domains (AdTech, Fintech, Gaming, streaming systems)

Important Notes

• This is a high-ownership role in a core team
• The domain is complex and niche — focus is on quality over quantity
• Experience with high-scale systems is highly preferred

Not a Fit If

• Pure DevOps / Infrastructure profile
• Only worked with ML pipelines (Airflow, ETL) without production ML
• No experience with real-time systems or latency constraints
• Mostly research or Data Science background without production systems

Hiring Process

• 2–3 interview stages

This role is ideal for engineers who combine strong backend engineering with ML systems experience and enjoy building real-time, high-scale production systems from end to end.

About the Role

We are looking for a highly experienced Staff Engineer to build and own a next-generation production intelligence platform at the intersection of AI, infrastructure, and data systems.

This role goes beyond traditional backend or data engineering — it focuses on designing a knowledge graph layer that enables AI systems to understand and reason about complex production environments in real time.

You will be one of the first engineers in this domain area, with full ownership of architecture and key technical decisions.

What You Will Do

• Design and own a production knowledge graph architecture (schema, entities, relationships, temporal modeling)
• Build data ingestion pipelines from multiple sources (CI/CD, infrastructure, cloud systems, streaming platforms)
• Define strategies for handling high-volume, high-cardinality production data
• Develop a semantic layer enabling intelligent querying and reasoning over the system
• Ensure data consistency, quality, and long-term coherence
• Work closely with engineering leadership on architecture and system design
• Validate solutions against real-world production environments

Requirements

• 10+ years of experience in backend or systems engineering
• Strong hands-on experience with graph databases (Neo4j preferred)
• Proven experience building scalable data ingestion pipelines
• Deep understanding of distributed systems and cloud-native infrastructure
• Experience with Kubernetes, CI/CD, and modern DevOps practices
• Strong data modeling skills (entities, relationships, versioning, schema design)
• Ability to make architectural decisions independently in a fast-paced environment

Nice to Have

• Experience with infrastructure graph tools (e.g., Cartography or similar)
• Experience working with AI/ML systems or LLM-based architectures
• Familiarity with event-driven systems (Kafka, streaming)
• Background in knowledge graphs or semantic systems

Tech Stack

Neo4j, Python, Kafka, Kubernetes, PostgreSQL, Graph-based tooling, cloud infrastructure

What Makes This Role Unique

This is not a typical backend or data role. You will be building the core knowledge layer that enables AI systems to reason about production environments.

You will:

• Own the architecture from day one
• Make high-impact technical decisions
• Work on a product that sits at the intersection of AI + infrastructure + data

Hiring Process

• 2–3 interview stages
• Technical + system design focus

About the Role

We are looking for a Senior Engineer who combines Full-Stack and Data Engineering expertise.

This is a hybrid role where one person covers both:

• Full-Stack development (Node.js + React)
• Data layer ownership (SQL Server, data access, troubleshooting)

The role is highly hands-on and involves working across multiple layers of a complex system, with a strong focus on production stability and customer-facing troubleshooting.

Responsibilities

• Maintain and develop Node.js APIs and React frontend
• Work with GraphQL and support full-stack feature delivery
• Own and maintain the data layer (Microsoft SQL Server)
• Implement and optimize data access logic using TypeScript
• Investigate and resolve data-related and application issues
• Participate in live troubleshooting sessions with customers
• Ensure system stability across frontend, backend, and database layers
• Collaborate with engineering and product teams on improvements

Tech Stack

• Backend: Node.js (Hapi.js), TypeScript
• Frontend: React.js, MobX
• API: GraphQL
• Database: Microsoft SQL Server
• Additional: C# (data ingestion & analysis layer)

Requirements

• Strong experience with Node.js and TypeScript
• Solid frontend experience with React.js
• Strong knowledge of SQL and database design (MS SQL Server preferred)
• Experience working with data access layers and data troubleshooting
• Hands-on experience with production systems and debugging
• Experience in customer-facing environments (calls, troubleshooting)
• Ability to work across both application and data layers
• Fluent English (C1)

Nice to Have

• Experience with GraphQL
• Experience with complex or legacy systems
• Exposure to C# or data ingestion systems

Hiring Process

• Intro
• Technical interview (with live coding)
• Final interview (technical + interpersonal)

We are looking for an experienced Senior Site Reliability Engineer to ensure the stability and reliability of a platform operating in a hybrid environment (Azure + on-premise).

This role combines SRE, DevOps, and backend engineering mindset, with a strong focus on production systems and direct customer-facing troubleshooting.

Responsibilities

• Manage deployments across Azure and on-premise infrastructure
• Maintain and improve production systems at scale to ensure availability and performance
• Participate in live troubleshooting sessions with customers
• Handle incidents: analysis, resolution, and postmortems
• Build and improve CI/CD pipelines and automation workflows
• Work with containers (Docker, Kubernetes)
• Collaborate with engineering teams to deliver infrastructure improvements
• Document processes and maintain runbooks

Requirements

• 5+ years of experience in SRE / DevOps / Infrastructure roles
• Strong hands-on experience with Kubernetes (must-have)
• Experience operating production systems at scale
• Experience with Azure (required)
• Solid knowledge of Docker and containerization
• Experience with CI/CD pipelines and automation
• Strong C# programming skills and understanding of software architecture
• Experience with customer-facing troubleshooting
• Strong communication skills and ability to work remotely

Nice to Have

• Experience with AWS (in addition to Azure)
• PowerShell scripting
• Infrastructure as Code (IaC) experience
• Experience with multiple CI/CD or pipeline tools

What We Offer

• Remote work environment
• Full-time or B2B contract options
• Opportunity to work on a mission-critical product
• Direct impact on system stability and customer experience

• Competitive compensation                                                                   

  Additional Information

• Project start: end of April (April 29)
• Full-time engagement
• Long-term project (1+ year)
• Fully remote work setup
• Company provides all necessary equipment