Jobs

About the role
You’ll build enterprise dashboards, reporting systems, and automation workflows, ensuring KPI standardization, reporting accuracy, and data governance compliance while improving operational efficiency through structured automation.

What you’ll do

• Build Power BI dashboards aligned to business KPIs; advanced DAX measures; standardized templates; performance optimization 
• Design data models and ETL pipelines; validate data quality; maintain dimensional modeling standards; optimize SQL performance 
• Own KPI governance: formal KPI definitions/formulas, centralized KPI dictionary, prevent conflicting metrics 
• Build Power Automate workflows (approvals/notifications/triggers) with reliability + exception handling; API-based automation integration 
• Enforce data governance/security: RBAC + Power BI row-level security; compliance with access policies 
• Validate outputs vs source systems; reconciliation checks; audit trails; RCA for discrepancies 

Must-have

• 5+ years BI/data analytics; enterprise reporting; strong relational DB background; Agile experience 
• Power BI (advanced DAX), data modeling (star/snowflake), report optimization 
• SQL Server (advanced queries, stored procedures, indexing) 
• ETL: SSIS or Azure Data Factory preferred; data warehouse concepts 
• Power Automate (cloud/desktop flows), REST/JSON integrations, orchestration logic 
• Azure data services (Azure SQL, ADF, Synapse) + governance (RBAC/RLS, privacy/compliance) 

Authority / constraints

• Owns KPI modeling and automation framework principles; cannot redefine KPIs without PO/business alignment; cannot bypass governance/access policy 

Certs

• PL-300 mandatory; DP-203 recommended

About the role
You’ll validate AI-driven systems (ML models, LLM solutions, and Agentic AI workflows) to ensure outputs are accurate, reliable, secure, and compliant with governance standards. Focus areas include model behavior, prompt reliability, automation flows, and enterprise integration testing.

What you’ll do

• Test ML models using metrics (accuracy, precision, recall, F1) and adversarial/edge-case testing 
• Validate LLM outputs for correctness, relevance, and hallucination control 
• Run prompt-variant testing for response consistency; detect bias/incorrect reasoning; enforce business rules 
• Test multi-agent workflows, orchestration, decision logic, fallback handling, automation scenarios 
• Perform end-to-end scenario testing across APIs/services; validate real-time inference pipelines 
• Governance/compliance testing: RBAC/data access controls, sensitive data handling, auditability/traceability 
• Performance/reliability: load/latency/scalability testing; monitor drift/degradation over time 

Must-have

• 5+ years QA/testing with exposure to AI systems; experience testing ML models, APIs, enterprise apps 
• LLM evaluation techniques (hallucination detection, prompt testing) + dataset validation/test data generation 
• Automation tools: Selenium/Cypress/Playwright; API testing (Postman/REST Assured) 
• Automation scripting (Python or JavaScript); basic Python for AI pipeline testing 
• Azure environment awareness; CI/CD pipelines (Azure DevOps); logging/monitoring awareness 
• Familiarity with embeddings/vector DBs and ML/LLM workflow concepts 

Authority / constraints

• Owns AI testing standards/metrics and acceptance criteria; cannot approve release without quality thresholds 

Nice-to-have certs

• ISTQB Advanced Test Analyst preferred; AI-900 recommended

About the role
We’re hiring a Senior AI Engineer to design, develop, and deploy enterprise AI solutions including Agentic AI, intelligent automation, and predictive analytics, aligned with governance/security frameworks and business objectives.

What you’ll do

• Build AI/ML models (classification, prediction, NLP, computer vision) and optimize for performance/cost 
• Build LLM-based solutions (chatbots, copilots, automation agents) 
• Design and implement multi-agent architectures, orchestration logic, decision flows, and human-in-the-loop controls 
• Own data prep, feature engineering pipelines, training/fine-tuning/evaluation, and model lifecycle/versioning 
• Integrate AI into enterprise systems via APIs/microservices, including real-time inference services 
• Implement responsible AI practices (bias control, explainability, auditability) and secure AI pipelines/APIs (auth/authz) 
• Monitor production performance, logging/alerting, drift, and optimize latency/scalability 

Must-have

• 5+ years AI/ML engineering; production deployments; enterprise-scale AI systems/APIs 
• Hands-on LLMs/NLP or Computer Vision 
• Strong Python ML stack (TensorFlow/PyTorch/Scikit-learn) 
• LLM ecosystem experience (Azure OpenAI / OpenAI / Gemini / HuggingFace), embeddings/vector DBs 
• Agentic/orchestration frameworks (LangChain / Semantic Kernel / AutoGen; multi-agent frameworks; tool use) 
• Azure AI Services/Azure ML/Databricks + Docker/Kubernetes; REST/microservices, event-driven, APIM 

Authority / constraints

• Owns AI architecture/model development standards and Agentic AI implementation approaches 
• Cannot deploy without security/governance approval; cannot use external AI services without compliance validation 

Nice-to-have certs

• AI-102 preferred; DP-100 recommended

We’re looking for a Senior DevOps Engineer to join our team. 

About Client:

Our client, an award-winning global tax services and software provider, is the largest Firm in the world dedicated exclusively to business taxes. With global headquarters in Dallas, Texas, the Firm provides an integrated suite of federal, state, local, and international tax services on a multijurisdictional basis, including tax recovery, consulting, advocacy, compliance, and technology services. Our client is a seven-time recipient of the International Service Excellence Award from the Customer Service Institute of America (CSIA) for its commitment to world-class client service.

About the project:
The project is dedicated to the Sales Tax area: building a SaaS solution that helps clients track and forecast their performance.

Responsibilities:

• Analyze utilization metrics to right-size instances, databases, and containers
• Enforce strict resource tagging and allocation for accurate cost tracking and reporting
• Automate shutdowns of non-production environments and manage ephemeral resources efficiently
• Monitor cloud spend using native tools (AWS Cost Explorer, Azure Cost Management, Google Cloud Cost Management) and third-party platforms like Firefly
• Collaborate with development and product teams to shift-left FinOps, ensuring cost considerations are integrated early in the design phase
• Recommend cost-saving strategies such as spot instances, reserved instances, and optimized storage tiers
• Build and maintain dashboards to track KPIs, including cost per deployment, idle resource percentage, and cost per feature.

Requirements:

• 5+ years of DevOps experience
• Proven experience with Azure cloud platform and cost management tools
• Strong understanding of DevOps principles, CI/CD pipelines, and automation
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
• Knowledge of FinOps principles and cloud cost optimization strategies
• Familiarity with containerization (Docker, Kubernetes) and scalable architectures
• Analytical mindset with the ability to interpret utilization metrics and implement actionable changes
• Excellent communication skills and ability to collaborate across teams
• Upper-Intermediate level of English

We are looking for a Senior PHP/Laravel Developer to join a long-term, web-based SaaS project focused on automating tax recovery processes for European markets. The platform is designed to streamline workflows, reduce manual work, and ensure accurate, compliant reporting across multiple countries.

Requirements:

• Maintain and enhance an existing VAT automation platform;
• Develop reliable, reusable, and scalable backend code;
• Collaborate with a distributed team following Agile (SCRUM) methodologies;
• Optimize system performance and help reduce technical debt;

• Work with APIs and automate processes to improve efficiency.

   

Responsibilities:

• Minimum 5 years of commercial PHP experience, with strong Laravel expertise;
• Deep understanding of OOP principles and design patterns;
• Experience with YAML, XML, and integration with third-party APIs;
• Comfortable with LAMP stack (Linux, Apache, MySQL, PHP);
• Proficient in Git or equivalent version control;
• Agile/SCRUM experience;
• Upper-intermediate English for business communication;

• Soft skills: collaborative, proactive, responsible, and effective communicator.

   

Nice to have:

• Frontend development with JavaScript, TypeScript, HTML, CSS;
• Experience with caching, observability tools, or performance tuning.

We are looking for talented Senior Java Engineer to to join our AI project in Europe.

Our California-based customer is an American global e-commerce leader, one of the most popular and successful websites on the Internet. It provides platform services by connecting millions of sellers and buyers in more than 190 markets around the world. 

Responsibilities:

• Design and develop a robust and extensible Kotlin framework and platform for configuring and managing AI agents
• Write clean, maintainable, and efficient code that complies with our coding standards
• Ensure the performance, quality, and responsiveness of the framework/platform
• Identify and correct bottlenecks and errors
• Help to maintain code quality, organization, and automatization.

• Create and maintain technical documentation for the framework/platform

   

Requirements:

• At least 5 years of proficiency in Kotlin or Java
• Deep experience with the Spring Framework 
• Reactive tools experience (Project Reactor)
• Knowledge of different communication protocols such as REST, GraphQL, gRPC
• Experience with distributed systems
• Familiarity with tracing, metrics and monitoring best practices
• Experience of creating frameworks and platform for other developers 
• Proficiency in Maven or similar tools 
• Familiarity with NoSQL databases 

• Very good spoken and written knowledge of English language (C1)

   

Nice to have:

• Familiarity with GenAI, AI agents, machine learning, and natural language processing concepts is a plus
• Experience with MCP, A2A, RAG is a big plus
• Experience with event-driven architecture
• Experience with Docker and Kubernetes
• Python experience is nice to have
• BSc or MSc in Computer Science, Engineering or relevant field

We’re looking for a Senior DevOps Engineer to join our team. 

About Us:

Together with the client’s team you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise.

The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data.

This role focuses on infrastructure migrations to modernize our platform and improve scalability.

Responsibilities:

• Plan and execute infrastructure migrations across multiple environments
• Manage Kafka infrastructure including consumers, producers, and cluster configurations
• Implement infrastructure-as-code for repeatable deployments
• Migrate services to new cloud proxy architectures
• Work with established migration patterns and documentation
• Coordinate with cross-functional teams on dependencies and rollouts

Requirements:

• 5+ years of infrastructure/backend development experience
• Proficiency in Python or Go
• Proficiency in Kubernetes and container orchestration
• Experience with infrastructure-as-code (Terraform)
• Experience with relational databases
• Experience with AWS or GCP cloud platforms
• Strong communication skills and ability to work in hybrid/remote teams
• Self-directed with ability to work independently
• It'd be great if you have experience with: ArgoCD and GitOps workflows; nginx and cloud proxy patterns; Large-scale distributed systems
• Upper-Intermediate level of English

Company Overview

BeomyTech is a dynamic technology company based in Israel, focused on the development of innovative solutions. Our projects require rapid prototyping, a high degree of flexibility in adopting new technologies, and the integration of artificial intelligence throughout the software development lifecycle.
 

Role Overview

We are seeking an experienced Full-Stack Engineer to work on end-to-end product development in an English-speaking team. The role involves building modern web applications and contributing to advanced AI-driven systems.

Technology Stack

• Frontend: Next.js, React, TypeScript
• Backend: Node.js, PostgreSQL, Drizzle ORM

• AI: LangChain, LangGraph, RAG, AI agents, vector databases

   

Requirements

• 5+ years of experience in full-stack product development
• Strong expertise in modern web technologies and backend systems
• Excellent English
• Proven experience working in an English-speaking team
• Ability to learn quickly, work autonomously, and maintain a high level of attention to detail

We are looking for a Full-Stack Engineer to join our team and help build scalable systems and modern web applications that process and visualize large volumes of data.

In this role, you’ll work across both backend and frontend, collaborating closely with engineers and product teams to design performant APIs, data processing systems, and intuitive user interfaces.

This position is ideal for engineers who enjoy working with complex datasets, building scalable architectures, and delivering polished user experiences.

What You’ll Do

Backend

• Design and build scalable backend services and APIs
• Develop systems that process and manage large datasets
• Integrate backend services with external APIs and third-party platforms
• Ensure performance, reliability, and security of backend systems
• Collaborate with frontend engineers to design efficient API structures
• Maintain high code quality through testing and code reviews

Frontend

• Build responsive and accessible UI components
• Implement complex interfaces such as dashboards, tables, forms, and data views
• Integrate frontend applications with backend services
• Optimize performance and user experience

• Maintain quality through frontend testing and best practices

   

What We’re Looking For

Backend

• 4+ years of professional backend development experience
• Strong experience with Python or Node.js
• Experience designing and building REST APIs
• Solid understanding of relational databases and data modeling
• Experience with query optimization and large datasets
• Familiarity with asynchronous programming
• Experience with background jobs or task processing
• Familiarity with messaging systems or queues
• Experience integrating external APIs
• Experience with cloud platforms (AWS, GCP, or similar)
• Experience writing automated tests
• Experience collaborating in a team environment and reviewing code

Frontend

• 3+ years of experience with React
• Strong knowledge of JavaScript or TypeScript
• Experience building modern web applications
• Experience integrating frontend with backend APIs
• Experience with forms, tables, and complex UI components
• Understanding of responsive design and accessibility
• Experience with state management solutions
• Familiarity with frontend testing

Nice to Have

• Experience with AI or LLM integrations
• Experience with vector databases or search systems
• Experience processing documents or large structured datasets
• Experience with event-driven architectures
• Experience with Next.js or similar frameworks
• Experience optimizing large frontend applications
• Experience implementing real-time features (WebSockets, etc.)

• Experience with data visualization or dashboards

   

What We Offer

• Opportunity to work on diverse and technically challenging projects
• A supportive and collaborative engineering team
• 12 vacation days per year
• 5 sick days per year
• English classes
• Mental health support, including access to therapist and psychologist services

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

Job Description

Must have:

• Strong hands-on experience with AWS cloud platform, including services such as ECS (Fargate), Lambda, API Gateway, DynamoDB, ElastiCache, OpenSearch, VPC networking, and AWS Security Hub
• Deep experience with Infrastructure as Code using Terraform, including designing reusable modules and managing multi-environment, multi-region infrastructure
• Strong experience designing and maintaining CI/CD pipelines (GitLab CI)
• Strong scripting and automation skills using Python / PowerShell / Bash
• Experience implementing automation-driven infrastructure and deployment processes
• Experience implementing GitOps or automated infrastructure lifecycle management
• Strong knowledge of Git workflows and collaborative development practices
• Experience implementing security and compliance controls in cloud infrastructure and CI/CD pipelines
• Ability to design secure, scalable cloud infrastructure platforms with security embedded by default

Nice to have:

• Experience with Datadog monitoring and observability platform
• Experience working with multi-account AWS environments
• Knowledge of Linux and Windows environments
• Experience integrating cloud security tooling (Orca Security or similar)
• Experience designing cloud governance frameworks, guardrails, and security policies
• Experience designing infrastructure governance and guardrails
• AWS or Terraform certifications

Job Responsibilities

Platform Engineering

• Design and develop automation frameworks for provisioning, deploying, and managing cloud infrastructure
• Build and maintain reusable Terraform modules and shared infrastructure components
• Ensure infrastructure modules and automation frameworks include security controls, secure defaults, and compliance guardrails
• Develop, improve and standardize CI/CD pipelines and deployment automation across services and environments
• Develop self-service infrastructure capabilities that allow engineering teams to provision environments and services through automation
• Identify and eliminate manual operational processes through automation and platform capabilities

Developer Enablement

• Work closely with development teams to improve deployment workflows and development lifecycle efficiency
• Enable teams through automation, tooling, and self-service infrastructure capabilities

Platform Reliability & Observability

• Improve platform monitoring, observability, and operational visibility using tools such as Datadog
• Ensure security and reliability best practices are integrated into infrastructure and deployment automation

Department/Project Description

GL Healthcare Division Program is looking for a DevOps Engineer to join the Reliability Engineering team responsible for the mission-critical medical data processing systems infrastructure development and operation.

We have a trusted relationship with the Client, a multinational MedTech corporation with which we have been cooperating for over 20 years.

Title: Executive Operations Manager (Remote)

Location: Ukraine or Europe - working for the US Eastern Time Zone (ET)

Type: Contract

About Serve Freight

Serve Freight is a high-reliability logistics operator specializing in complex freight execution for mid-market shippers and project-driven industries. We manage transportation, warehousing, and value-added logistics programs for companies that cannot afford missed delivery windows, broken communication, or unreliable carriers. We are scaling fast in 2026 and building the operational infrastructure to support it. This role is part of that buildout.

The Role

We are hiring an Executive Operations Manager to serve as a direct operational support to our CEO. This is not a traditional Executive Assistant position. It is a hybrid role that combines structured administrative support with process ownership, cross-functional coordination, and limited autonomous decision-making.

You are the person who keeps the CEO out of the weeds so he can focus on the things only he can do. You manage the recurring operational rhythm, handle the tactical items that pile up, and make the small decisions that would otherwise sit in a queue waiting for approval.

60% of your time will be structured, recurring work. 40% will be ad hoc problem-solving and cross-functional coordination.

What You Will Do

Executive & Calendar Management

• Manage the CEO's calendar: scheduling, rescheduling, conflict resolution
• Triage and prioritize the CEO's inbox
• Coordinate travel logistics
• Prepare meeting agendas, pre-reads, and follow-up action items

Data, Dashboards & Financial Support

• Pull and format weekly operational dashboards from Turvo, QuickBooks, and HubSpot
• Run down accounts receivable discrepancies and flag issues
• Prepare financial summaries and talking points for leadership meetings
• Support the company's strategic advisor with slide deck preparation and data pulls

Process & SOP Ownership

• Draft and maintain internal SOPs for recurring operational processes
• Document workflows across departments as they are formalized
• Research and recommend operational tools within defined budget parameters
• Integrate approved tools into existing workflows

Operational Problem-Solving

• Investigate and resolve minor operational issues across departments before they reach the CEO
• Triage which priorities you can personally handle vs. what needs to be escalated
• Reschedule initiative timelines when circumstances change
• Coordinate with internal team members across operations, accounting, and brokerage

Decision-Making Authority

This role carries real decision-making responsibility within defined boundaries. You will not be waiting for approval on every task.

You will decide: which tools to investigate, which software to select within budget, how to reschedule internal timelines, how to triage and route requests, and how to resolve calendar conflicts.

You will escalate: any commitment to external parties, expenditures above threshold, changes to sales or pricing, and strategic or partnership decisions.

Who You Are

• 2-5 years in operations, executive support, or chief of staff-adjacent roles at a growing company (under 50 employees preferred)
• Comfortable wearing multiple hats and operating across departments
• Can make decisions without perfect information; does not freeze with ambiguous direction
• Strong written communicator: SOPs, slide decks, and emails without heavy editing
• Data-literate: can pull and present operational and financial data without being an analyst

Tools You Will Use

Turvo (TMS), QuickBooks Online, HubSpot (CRM), Google Workspace, Slack, Notion, Excel/Sheets. You do not need to be an expert in all of these on day one, but you should be comfortable learning quickly.

What Success Looks Like

At 30 days: The CEO has measurably more free time. Recurring tasks are transferred and running on schedule.

At 60 days: You are proactively resolving minor issues before they reach the CEO. You have recommended or implemented at least one process improvement.

At 90 days: The CEO feels like you are an extension of himself. Internal stakeholders engage with you directly. Minimal oversight needed.

What This Role Is Not

• Not a calendar-only EA role
• Not a system administrator or IT role
• Not a sales or business development role
• Not a strategic advisory role. You execute and support.

How to Apply

Send a short note (not a cover letter) to hello@servefreight.com with the subject line: Executive Operations Associate - [Your Name]

Answer these four questions:

• Tell us about a time you made a decision on behalf of an executive. What was the situation, what did you decide, and what happened?
• Describe a process you built or improved at a previous company. What was broken, what did you change, and what was the result?
• Give an example of a time you had to figure something out with almost no direction. How did you approach it?

No form letters. No AI-generated cover letters. We read every response.

GR8 Tech builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.

Why this role exists:

We’re looking for a Senior Data Engineer to design and operate a scalable data infrastructure powering a high-throughput, production-grade platform.

You will own data systems that support analytics, operational workloads, and ML-driven capabilities across a multi-tenant environment. This is a hands-on senior role with architectural responsibility and end-to-end ownership under strict reliability, performance, and SLA requirements.

You will influence core data architecture decisions and help evolve the platform to support growing scale and complexity.

What you’ll drive:

Core Responsibilities

• Design and operate batch and streaming data pipelines.
• Architect and evolve data storage layers (lake, analytical, operational).
• Develop scalable data models for analytics, ML, and operational systems.
• Ensure data quality, consistency, and observability across pipelines.

Platform & Reliability

• Implement real-time processing using event-driven architectures.
• Build ingestion and transformation workflows (ETL/ELT).
• Own backfills, reprocessing strategies, and data migrations.
• Implement CI/CD, monitoring, and SLA-driven operational practices.

Collaboration

• Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions.
• Contribute to data platform standards and best practices.

Technical Environment

• Core: Python, SQL
• Streaming: Kafka
• Storage: PostgreSQL, Redis (ElastiCache), S3
• Analytics: AWS Athena, Starrocks
• Vector: PostgreSQL + pgvector
• Infrastructure: AWS, batch orchestration

What makes you a GR8 fit:

Must-have

• 5+ years of experience building and operating production-grade data systems under SLA constraints.
• Strong proficiency in SQL and Python.
• Hands-on experience with streaming systems (Kafka or similar).
• Experience with batch processing and workflow orchestration.
• Production experience with relational databases (PostgreSQL or similar), including performance tuning, indexing, and partitioning.
• Experience designing high-throughput and low-latency systems.
• Solid understanding of point-in-time correctness and reproducible data pipelines.
• Experience with caching systems (Redis or similar).
• Cloud experience (AWS preferred).
• Experience with analytical engines (Athena, StarRocks, ClickHouse, or similar).
• Experience with distributed processing frameworks (Spark, Flink, Beam, or similar).
• Experience implementing data quality frameworks and CI/CD for data pipelines.

Familiarity with vector databases or columnar storage systems.

Nice-to-have

• Experience supporting ML workloads (e.g., feature pipelines or feature storage patterns).
• Familiarity with training-serving consistency concepts.
• Experience building shared data platform components.
• Experience building lightweight data-serving APIs (e.g., FastAPI).
• Experience working with containerized environments (e.g., Docker).

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.

Our culture & core values:

GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

Overview:
We are looking for a Senior Backend Engineer to lead the development of core backend services within a modern microservice infrastructure that powers mobile and embedded clients. This is a senior, hands-on role with architectural ownership, ideal for an engineer who enjoys building scalable distributed systems, designing secure and reliable APIs, and mentoring other developers. You will drive technical decisions and collaborate closely with architects, frontend engineers, and product teams to deliver future-proof backend solutions.

Responsibilities:

• Lead the design and development of backend services using Java in a Docker/Kubernetes-based environment;
• Drive architectural improvements and establish backend best practices across the platform;
• Design, implement, and optimize event-driven systems based on Kafka;
• Build secure, scalable RESTful APIs for internal and external consumers;
• Design and query complex data models using PostgreSQL, with strong focus on performance and reliability;
• Collaborate closely with frontend and product teams to deliver features end-to-end, from concept to production;
• Ensure system reliability and observability through logging, tracing, and monitoring;
• Enable integrations with data pipelines and ML-powered services as part of data-driven and AI initiatives;
• Mentor junior engineers, conduct code reviews, and support team-wide technical growth.

Requirements:

• 5+ years of professional experience in backend development within microservice and cloud-native environments;
• Strong production experience with Java (e.g., Spring Boot or similar frameworks);
• Python experience is a plus, especially for data pipelines, ML integration, or scripting tasks;
• Deep understanding of:
  • Kafka and event-driven architectures;
  • PostgreSQL, including advanced schema design and query optimization;
  • Secure API design and implementation (OAuth2, HTTPS, mTLS).
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines in production;
• Proven ability to lead cross-functional technical initiatives and make architectural decisions;
• Demonstrated experience mentoring or guiding less experienced engineers;
• Exposure to video streaming backends or media platforms is a plus;
• Strong interest or background in ML- or data-driven applications;
• Bonus: Experience with observability stacks (e.g., Prometheus, Grafana) or real-time analytics systems.

Role Mission

The Chief Sales Architect (CSA) is accountable for leading the sales function and driving growth by designing, building, and scaling an AI- and automation-powered sales engine that delivers a predictable pipeline and revenue growth, increases conversion speed and efficiency, and outperforms traditional agency sales models through data-driven experimentation and disciplined execution.

Key responsibilities

• Lead the transformation of sales into a scalable, AI- and automation-enabled operating model where repetitive work is automated, and the team focuses on higher-value activities: experimentation, process improvement, relationship-building, and conversion quality.
• Define the architecture of sales processes, communicate requirements and set priorities for the implementation team, and continuously improve automation and AI workflows to ensure they outperform manual execution and fit the company’s broader ecosystem as the business scales.
• Improve outreach effectiveness through sharper ICP and buyer persona definition, higher targeting quality, and continuous optimization of AI-assisted messaging, prompts, and workflows.
• Build and operate a predictable revenue engine across outbound, referrals, partnerships, and account expansion channels.
• Own sales strategy, pipeline generation, conversion performance, and revenue targets.
• Conduct sales calls.
• Lead and structure the sales organization, including SDR and Sales Manager functions, with clear accountability, role clarity, and performance expectations.
• Oversee the account management approach for newly won accounts to ensure strong onboarding, relationship continuity, and expansion opportunities.
• Standardize the sales process, CRM discipline, and reporting practices.
• Establish a strong performance management system through KPIs, OKRs, regular reviews, and clear accountability mechanisms.
• Ensure tight alignment between Sales, Marketing, Recruitment, and Operations to support consistent demand generation, conversion, delivery readiness, and client growth.
• Drive a culture of disciplined metrics tracking and real-time visibility into sales process efficiency and commercial performance.
• Consistently build commercial demand ahead of current delivery capacity, while partnering with other functions to help the organization scale responsibly.

Key Initiatives Under CSA Ownership

The CSA owns outcomes across:

• Outbound lead generation and continuous experimentation.
• Funnel conversion and pipeline optimization.
• AI SDR workflows, including lead response and follow-up automation.
• Trigger-based outreach driven by buying signals such as new hires, funding, and hiring gaps.
• Referral program development.
• Reactivation of former clients and lost opportunities.
• Sales knowledge systems and documentation, with Notion serving as the source of truth.

Execution may be delegated — ownership is not.

Required Competencies

• Strong B2B service sales leadership experience, ideally in IT staffing, recruitment, or tech services.
• Proven ability to build repeatable outbound and multi-channel lead generation systems.
• Strong bias toward action, experimentation, iteration, and continuous improvement.
• Strong systems thinking, with the ability to design around funnels, buying signals, workflows, and operational constraints.
• Understands sales as an integrated operating system rather than a set of isolated activities.
• Able to design commercial processes that are scalable, measurable, and repeatable.
• Uses data to challenge assumptions, improve decisions, and constructively raise performance standards.
• Able to operate both strategically and hands-on in a growing company environment.
• Proven ability to hire, coach, and scale a sales team with clear ownership and accountability.
• High standards of performance without resorting to micromanagement.
• Able to challenge peers and the CEO constructively in pursuit of better commercial outcomes.
• Builds cross-functional trust through competence, clarity, and reliability.
• Comfortable with modern sales tooling, automations, and AI-enabled systems.
• May not personally execute every workflow, but is deeply literate in modern sales systems and demanding in outcomes.

Strong advantage

• Strong practical fluency in using LLMs such as ChatGPT, Claude, and Gemini to improve sales workflows, messaging, research, and process design.

Cultural Fit

• Ownership and accountability.
• Proactive, self-directed working style.
• Builder mindset.
• Comfort with high accountability and growth pressure.
• Honest, direct, and constructive communication.
• Collaborative, low-ego approach across functions.