Jobs at Djinni

We’re looking for a VIP Account Manager to work with high-value players across Tier-1 GEOs — taking ownership of their experience, engagement, and retention.
 

This role carries real autonomy. You’ll make decisions on communication, personalised offers, and VIP cases independently — and directly influence player LTV and loyalty. If you know what drives high-value players and understand what sits behind a strong retention number, we’d like to meet you.
 

💬 VIP Relationship Management

• Manage communication with VIP and PRE-VIP players via email and messengers
• Build personalised, long-term relationships with high-value players

📈 Retention & Reactivation

• Proactively reach out to players based on their behaviour and defined triggers
• Drive LTV growth through targeted retention and reactivation actions

⚡ Live Chat

• Take full ownership of VIP requests in live chat
• Make decisions and resolve issues independently — without unnecessary escalations

🎁 Personalised Offers

• Adapt existing promotional terms to individual players
• Create personalised offers that increase revenue and build long-term loyalty

🤝 Cross-functional Collaboration

• Act as the primary contact point between VIP players and the Antifraud, Billing, and Retention teams
• Drive VIP cases to full resolution and maintain ownership throughout

🔎 Voice of the Customer

• Collect and structure feedback from VIP players
• Pass insights to Product and Retention teams to improve the product and player experience

🎯 What we’re looking for

• Experience as a VIP Manager or Senior Account Manager in iGaming or FinTech
• Hands-on experience with CRM systems
• Deep understanding of Tier-1 markets
• Practical knowledge of retention and reactivation mechanics — and how to apply them
• English B2+ — confident in both written and verbal communication
• Ability to work with player data and analytics: read reports, identify patterns, and translate data into specific retention actions
• Ability to make fast, independent decisions in a dynamic environment
• Commercial mindset and clear understanding of how communication, personalisation, and retention drive LTV and revenue

✨ What we offer

• Fully remote setup
• Schedule: 09:00–18:00 CET with a two-week rotation:
  Week 1: Monday–Friday, standard days off
  Week 2: 1 weekday off + 1 weekend day off
• Paid vacation and sick leave
• Medical insurance
• Growth in a dynamic environment alongside a team of professionals

Full Remote · iGaming · VIP Management · Retention · LTV · Tier-1 · CRM

About the role

We are looking for a Fullstack / Backend Engineer to join a company and contribute to the development of a modern, scalable software product.

You will work on backend services, frontend components, and cloud infrastructure, helping build reliable and high-performance solutions using modern technologies.

Responsibilities:

- Design, develop, and maintain backend services using Golang and/or Python.

- Build and integrate APIs and third-party services.

- Develop frontend components using React.js or Vue.js.

- Work with cloud infrastructure and containerized applications.

- Contribute to system architecture, scalability, and performance optimization.

- Participate in CI/CD processes and deployment workflows.

- Collaborate with the team to deliver high-quality software solutions.

Requirements:

- Strong experience with Golang and/or Python.

- Experience with at least one frontend framework: React.js or Vue.js.

- Hands-on experience with at least one cloud platform: AWS, GCP, or Azure.

- Experience with Kubernetes and Helm.

- Understanding of CI/CD pipelines and deployment processes.

- Good knowledge of software development best practices.

Nice to have:

- Experience with AI-powered solutions.

- Experience with data processing and analytics.

- Knowledge of distributed systems and microservices architecture.

If you enjoy solving complex technical challenges and building scalable software products, we'd love to hear from you!

Requirements:

• Strong production experience with Python and SQL.
• Experience developing JavaScript SDKs and iOS SDKs, ideally covering both.
• Ability to design and build a mobile attribution SDK from scratch.
• Experience building products, designing reusable abstractions, and making architecture decisions.
• Fluent English.
• Nice to have: React Native, Android SDKs, mobile attribution, mobile analytics, or GCP.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Requirements: 

• Strong production experience with Python, TypeScript, and SQL.
• Deep understanding of databases, data modeling, and query performance.
• Experience delivering product features and integrations across frontend and backend.
• Ability to design reusable abstractions and discuss architectural trade-offs.
• Fluent English.
• Nice to have: e-commerce, tracking analytics, GCP, Pub/Sub, BigQuery, or Airflow.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

Project Description:
Technical Project Description
Configure and extend Dynamics 365 Customer Service to manage praise, feedback, complaints and treatment-error cases. The scope includes case configuration, statuses, SLA tracking, queues, routing, email intake, reminders, escalations, dashboards, permissions and Power Automate workflows. Integration with the client’s existing expert software may also be required.

Project Architecture
Dynamics 365 Customer Service based on the standard Case entity in Dataverse. Native queues, SLAs, email templates, views and dashboards will be combined with Power Automate flows. Custom code or API integration should only be used where standard configuration and low-code automation cannot meet the agreed requirements.

Tech Stack:
Dynamics 365 Customer Service
Microsoft Dataverse
Power Automate
Dynamics 365 App for Outlook
Exchange / shared mailboxes
Entra ID
Dataverse Web API
Power Platform solutions and environment management
Required skills:
Must-Have Technologies

Dynamics 365 Customer Service
Microsoft Dataverse
Power Automate
Case management, queues and routing
SLA and entitlement configuration
Dynamics security roles and access model
Outlook and Exchange integration
Power Platform solution deployment

Team Structure:
Project Manager, Business Analyst, Full-Stack Developer

Responsibilities:
Review the requirements and fit-gap assessment.
Inspect the client’s Dynamics tenant and existing configuration.
Clarify process, licensing, security and integration dependencies.
Design the Dynamics 365 solution and provide an effort estimate.
Configure cases, forms, fields, queues, SLAs, views and dashboards.
Implement Power Automate reminders, notifications and escalations.
Configure email intake and Outlook workflows.
Support integration with the existing expert software.
Prepare tests, deployment documentation and handover materials.
Nice to Have:
Dataverse Web API and external system integrations
Microsoft Entra ID
Power Pages
Dynamics telephony or Contact Center integrations
Copilot Studio
Experience with GDPR-sensitive or healthcare-related workflows

Comments:
Workload
Project-based, initially part-time for discovery and solution design, followed by implementation. Final workload will be defined after tenant inspection and scope validation.

The specialist should prioritise standard Dynamics functionality and supported low-code configuration. The current documents are assessment materials, not an approved final specification. Strong English communication and the ability to work directly with business stakeholders are required.
 

Requirements: 

• Strong production experience with Python and SQL, with a focus on backend development.
• Hands-on experience with API integrations and streaming or event-driven systems.
• Experience building products, designing reusable abstractions, and contributing to architecture decisions.
• Fluent English.
• Nice to have: Snowplow, OpenSnowcat, Conversion APIs, marketing analytics, e-commerce, GCP, Pub/Sub, BigQuery, or Airflow.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

About the Company

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.
 

About the Internship & Project

We are looking for a Trainee QA (Manual + Automation) to join a project delivered for an Irish digital agency specializing in websites, technology solutions, and digital marketing for hotel brands worldwide.
You will work on real client projects, testing booking flows, APls, and new platform features. The internship starts with a stronger focus on manual testing and gradually introduces automation, with the goal of achieving a 50/50 balance. We are looking for someone with a good technical foundation who is motivated to develop practical QA skills, work with modern technologies, and grow into a QA Engineer role.

Responsibilities

• Execute and document manual test cases for booking flows, APls, and new features
• Perform functional, regression, and exploratory testing to ensure product quality
• Identify, reproduce, and track bugs, collaborating with developers to resolve issues
• Assist in creating and maintaining automated tests using NET, Playwright, and RestSharp
• Help convert manual test scenarios into automated integration, acceptance, and end-to-end tests
• Support release validation and contribute to improving QA processes and test coverage
• Work closely with developers and other team members to ensure reliable and user-friendly solutions

Requirements

• Good foundation in C# and .NET
• English level: Upper-Intermediate

Why This Internship is Exciting

• Great opportunity to start your career in QA Engineering and develop both manual and automation testing skills
• Work on real projects for international clients in the hospitality industry
• Receive mentorship and guidance from experienced developers and QA professionals
• Gain hands-on experience with modern technologies, including NET, Playwright, RestSharp, Next.js, React, and SQL Server
• Contribute to building and improving QA processes from the early stages
• Develop practical automation skills with a clear path toward a QA Engineer role

At A-Players, we are building a new AI product in the mental health and mindfulness space - and we are looking for a Data & Marketing Analyst who will own the analytics layer from day one. 
 

We are not building analytics after the fact. We are building it before the first ad goes live. That means clean tracking from day one, attribution that reflects reality, and dashboards the performance team opens every morning - not once a quarter.

In practice, you will set up the full tracking infrastructure from scratch, own the attribution model, connect marketing spend to real revenue, and keep LTV and retention metrics current and trustworthy. You will work side by side with the performance marketing team.

You will be the dedicated analyst on this product. Around you is a mature data team of 10+ people across Data Analytics, Data Engineering, Data Science, BI, and AI, as well as shared infrastructure including BigQuery, dbt, Tableau, and GA4.

This role is a fit if you have navigated the full analytics stack at a fast-moving web subscription product, know what it takes to build trust in data from scratch, and want to do meaningful work on something that is just getting started.

Responsibilities:

• Build the web tracking foundation for the product. Set up GA4 and GTM, both client-side and server-side, from scratch: UTM conventions, dataLayer schema, event deduplication, and attribution windows
• Implement server-side conversions for paid channels, including Meta CAPI, Google Enhanced Conversions, and TikTok Events API
• Build and maintain a web attribution model that connects marketing spend to actual revenue, and deliver channel-level LTV and CAC analysis
• Design and own Tableau dashboards for acquisition metrics, including CAC, ROAS, and channel mix; funnel metrics, including registration → first purchase → repeat purchase; retention metrics, including cohorts and LTV curves; and financial overview
• Support the performance marketing team with ad-hoc SQL analysis and Python scripts for automation
• Design and analyze A/B tests across the funnel, document results, and help drive action based on findings
• Document tracking conventions and data definitions in the knowledge base.
   

What we look for:

• 3+ years of experience as a Data Analyst, Web Analyst, or Marketing Analyst working with web subscription or e-commerce products
• Strong web analytics expertise, including funnels, attribution, tracking logic, and marketing performance measurement
• Experience working with performance marketing data 
• Experience working with raw and semi-processed data from Facebook Ads, Google Ads, TikTok Ads, or similar platforms, including data validation and cleanup
• Strong understanding of subscription business metrics, including LTV, cohorts, retention, recurring revenue, CAC, and payback period
• Experience setting up web tracking from scratch at least once, for example for a new product, new funnel, or new market
• Advanced SQL: window functions, CTEs, query optimization, and working with complex datasets
• Proficient Python: pandas, NumPy, analysis scripts, and basic automation
• Experience with BI tools such as Tableau, Looker, Power BI, or similar
• Comfortable working with ambiguity and building structure where it does not yet exist
• Open, clear, and proactive communication style
• High level of ownership and initiative.

Nice to have

• Hands-on experience with GA4
• Hands-on experience with GTM, including client-side and server-side implementation
• Experience working with PSP data
• A/B testing experience
• Tableau experience: dashboards, calculated fields, parameter actions
• BigQuery experience: large datasets, cost optimization, and performance optimization
• Experience with dbt.

We offer:

• Full ownership and freedom to set up tracking from scratch for a new product, with no legacy constraints
• Real business impact: you will work directly with a performance team running live campaigns, not build dashboards no one reads
• A strong data team around you (10+people), including Data Engineers, Data Scientists, BI specialists, and AI specialists to consult with, learn from, and grow with
• Modern stack: SQL, BigQuery, dbt, GA4, GTM, Tableau, and Python
• Openness to new practices: the team has already implemented GrowthBook, dbt, server-side tracking, and GenAI skills for analysts
• Career path: strong performance opens the door to real career growth
• Flexible schedule and remote-friendly setup
• Competitive compensation with regular performance reviews
• Medical insurance
• Learning and development budget.

Senior D365 Platform, Integration & Security Administrator is responsible for ensuring the secure, stable, and controlled operation of the global Microsoft Dynamics 365 platform and Azure integration services. The role encompasses lifecycle administration of D365 Finance & Operations, D365 Customer Engagement, and Azure Integration Services, including release and environment management, performance monitoring, security role management, and access control. The position also involves implementing automation and artificial intelligence technologies to improve operational efficiency and ensure the reliable operation of enterprise systems.

Key Accountabilities

D365 application lifecycle and environment administration

• Administer the lifecycle of D365 Finance & Operations and D365 Customer Engagement solutions across development, test, accept and production environments.
• Maintain the release calendar; coordinate release readiness, deployment, validation, rollback and post-release review with IT applications leads, business owners, development teams and external partners.
• Operate and improve ALM processes using Azure DevOps, Dynamics 365 Lifecycle Services and Power Platform pipelines, including version control, build and deployment traceability.
• Plan environment refreshes, sandbox usage, platform updates and Microsoft release-wave assessments; maintain environment inventories, dependencies and operational runbooks.
• Ensure that business content is approved by the accountable product or process owner while the technical release process remains controlled by the platform team.

Azure Integration Services lifecycle and operations

• Administer the release lifecycle of integration components supporting D365, including Azure Logic Apps, Service Bus, API Management, Azure Functions, Event Grid, Storage and related integration resources.
• Coordinate integration releases with D365 application releases and maintain automated CI/CD pipelines, environment-specific configuration, deployment approvals and rollback arrangements.
• Monitor failed messages, queues, APIs, workflows, processing latency, throughput, availability and end-to-end transaction flows; establish actionable alerts and operational dashboards.
• Lead or coordinate incident triage, replay/reprocessing, root-cause analysis and problem management for recurring integration failures.
• Maintain interface catalogues, support ownership, dependencies, certificates, secrets, service principals, API versions and technical runbooks.
• Monitor Azure consumption and identify opportunities to improve reliability, supportability and cost efficiency.

Security, roles and access governance

• Design, create, test, document and maintain D365 F&O and D365 CE security roles, duties, privileges, teams and business-unit access models.
• Administer joiner, mover and leaver provisioning; assign and remove access through approved workflows and Microsoft Entra ID groups wherever applicable.
• Support periodic access reviews, audit evidence and remediation of security findings.
• Administer privileged access in line with organisational policy, including eligible and time-bound access through Microsoft Entra Privileged Identity Management where applicable.
• Manage service accounts, application registrations, certificates, secrets and integration identities in collaboration with Cybersecurity and Azure platform teams.
• Maintain clear ownership and documentation for roles, approvals, exceptions and emergency access.

License provisioning and optimization

• Administer the end-to-end allocation, modification and removal of Dynamics 365, Power Platform and related Microsoft cloud licenses through approved joiner, mover and leaver processes.
• Translate role and business requirements into appropriate license types and service plans, applying least-privilege and minimum-necessary licensing principles.
• Monitor license assignments, utilization, capacity and entitlement consumption; identify inactive, duplicate, over-provisioned or incorrectly assigned licenses and coordinate timely reclamation or reassignment.
• Maintain license inventories, assignment rules, approval records and audit evidence, ensuring alignment with contractual entitlements, organizational policy and Microsoft licensing terms.
• Produce regular license-demand forecasts and optimization recommendations, working with Procurement, Finance, application owners and Microsoft partners to control cost while protecting operational continuity.
• Support true-ups, renewals and license-model changes by validating current usage, anticipated demand, compliance exposure and opportunities to optimize subscription levels.

Monitoring, performance and service health

• Establish proactive monitoring across D365, Dataverse, Azure integrations and supporting services using relevant Microsoft tools such as Azure Monitor, Application Insights, LCS and Power Platform analytics.
• Monitor application performance, batch processing, integrations, APIs, capacity, storage, service limits, errors, user access and Microsoft service-health notifications.
• Define operational KPIs, service thresholds and alerts; analyse trends and coordinate corrective actions before they become business-impacting incidents.
• Coordinate performance testing and baseline comparisons for significant releases, customisations and integrations.
• Own technical escalation of complex platform incidents to Microsoft and external support partners.

Operational automation and applied AI

• Identify repetitive, manual and error-prone activities across platform administration, monitoring, access, license management, release management and support that can be simplified or automated.
• Design, implement and maintain practical automation using appropriate Microsoft technologies, including Power Automate, Azure Automation, scripting, APIs, Azure DevOps pipelines and platform-native capabilities.
• Evaluate and implement responsible AI-assisted solutions where they can improve operational efficiency, such as incident triage, knowledge retrieval, documentation, trend analysis, alert enrichment and support workflows.
• Work with business owners, Cybersecurity, Data and Architecture teams to assess value, risk, data protection, access controls, human oversight and compliance before deploying automation or AI capabilities.
• Test, document, monitor and continuously improve automated and AI-assisted processes, ensuring clear ownership, exception handling, auditability, support arrangements and safe fallback procedures.
• Measure realized benefits through reduced manual effort, faster processing, fewer errors and improved service quality, and share reusable patterns across the platform operations team.

Governance, documentation and continuous improvement

• Maintain platform standards, release procedures, environment strategy, security model, integration runbooks and disaster-recovery or rollback documentation.
• Ensure changes are linked to approved work items and retain evidence of testing, approval, deployment and validation.

• Contribute to audits, risk reviews, licence and capacity optimisation, technical-debt reduction and service improvement plans.

   

Experience and Qualifications

Essential

• At least 5 years of relevant experience administering or operating enterprise Microsoft business applications, including strong practical exposure to D365 F&O and/or D365 CE / Dataverse.
• Demonstrable experience with release management, multi-environment ALM, Azure DevOps pipelines and production deployment controls.
• Hands-on experience in D365 security-role design, access provisioning, least-privilege controls and audit support.
• Operational experience with Azure Integration Services, particularly Logic Apps, Service Bus, API Management and Azure Functions.
• Experience with monitoring, troubleshooting and root-cause analysis across applications and integrations.
• Ability to work with IT applications leads, business owners, technical teams and external suppliers in an international environment.
• Strong written documentation, prioritisation and stakeholder communication skills in English.
• Experience administering and optimizing Dynamics 365, Power Platform or comparable Microsoft cloud licensing, including provisioning controls, utilization analysis, reclamation and audit support.
• Practical skills in process analysis and operational automation using Power Automate, scripting, APIs, Azure Automation, Azure DevOps or comparable tools, with the ability to evaluate and safely apply AI-assisted capabilities.

Why we exist:

Swarmer develops software that makes drones autonomous and allows them to operate together, in large, coordinated teams — no pilots needed. Our technology has been battle-tested in Ukraine — the world’s most intense proving ground for drone warfare.

In March 2026, we became the first Ukrainian defense startup to go public on NASDAQ, following a $15M Series A — the largest investment in a Ukrainian defense tech company since the start of the war.

Working at Swarmer means operating at the intersection of engineering rigor and frontline reality. The problems and environments are complex, and the stakes are very real. We built this software to enable democratic nations to defend themselves.

If you are motivated by building resilient systems that matter and by seeing the direct impact of your work, you’ll find purpose here.

Who we’re looking for:

We’re looking for a Senior Robotics & Autonomy Engineer to build and harden the collaborative autonomy behind our multi-vendor drone platform.

Your focus is multi-agent coordination: getting many drones to split tasks, stay out of each other’s way, and plan together in real battlefield conditions.

What you’ll do:

• Build distributed onboard autonomy that runs in real time across several companion computers, under tight compute and link constraints.
• Evolve our multi-agent algorithms (task allocation, deconfliction, collaborative path planning) to work with limited bandwidth, high latency, and packet loss.
• Turn R&D algorithms into product-ready code: find bottlenecks, handle edge cases gracefully, and make behavior deterministic and fault-tolerant.
• Optimize processing time, power consumption, and data flow.
• Design resilient comms and coordination, including link-aware strategies and degraded-mode behavior when the link drops.
• Build explainability for the swarm: intent and decision logs, human-readable reasoning traces, and post-flight analysis tools.
• Own the simulation pipeline for your features: prepare digital twins, design multi-drone experiments, and close the gap between simulation and real flights in a measurable way.
• Support field tests for your features: work with our test-range team, stay available online during flights, and travel to the test site occasionally.

What we need:

• 4+ years building decision-making systems for robots or autonomous agents (planners, task allocation, behavior logic).
• Hands-on experience with multi-agent or multi-robot coordination.
• Strong Python on Linux. Experience with C/C++ and embedded systems is highly valued.
• Solid grounding in linear algebra, control theory, probability, and numerical methods.
• Hands-on experience with simulators and digital twins.
• English at B2 or higher.

Would be an advantage:

• You’ve contributed to ArduPilot or PX4, or modified flight firmware.
• You’ve built distributed systems that run on edge devices.
• You’ve worked in defense or EW-contested environments.
• You’ve built, flown, crashed, and debugged your own drones.

What you’ll get:

• A chance to shape the core autonomy and perception systems at the heart of Ukraine’s defense tech ecosystem and its international expansion.
• Professional growth through hands-on work with advanced UAV technologies and exposure to international best practices in autonomy, CV, and ML.
• Fast-paced, high-stakes environment where your contributions yield immediate, tangible impact on the frontline.
• Agile, highly skilled team driven by engineering rigor and mission-critical goals.
• Attractive compensation package including 20 paid vacation days, comprehensive health insurance, and paid sick leave.
• Flexible working arrangements depending on operational and security requirements.
• Benefits of the defense sector (military reservation, etc.).

What the hiring process looks like:

✔️ Recruiter Screen→ ✔️ Technical Interview → ✔️ Management Interview → ✔️ Security check → ✔️ Offer

Ready to Apply?

We’re building an internal platform for AI agents that take on real work across the company, from operations to finance and HR. The first version is already running. We’re looking for an engineer to take it to production, grow it, and own it.

Responsibilities

• Take the platform to production. Turn the agent studio from a working prototype into a stable product the company relies on, and own its architecture
• Build the core infrastructure. Develop the LLM gateway, the connector service, and support for skills and MCP, so agents can use models, tools, and business systems safely
• Grow the connector library. Add and maintain connections to the systems our teams work in, starting with what Operations needs most
• Run the software factory. Keep the AI coding agents shipping routine tasks and bug fixes, and improve how work flows through it
• Keep it secure and reliable. Own access control, SSO, audit, monitoring, and on-call for everything you build
• Work with the people who use it. Onboard new users, support the business analysts who build agents, and turn their feedback into the roadmap

Required Skills & Experience

• Experience shipping production systems and being on call for them
• Strong TypeScript skills
• Hands-on experience building with LLMs beyond the demo: agents, tool calling, and evals
• Solid understanding of security fundamentals: access control, SSO, and audit
• Drive for ownership and the ability to do your best work where there’s no playbook yet

Nice to Have

• Experience with durable workflow engines
• Experience building no-code or workflow builders
• Security or compliance work on AI systems

We offer:

• Official employment in accordance with Ukrainian labor law.
• Military service deferment.
• Modern working equipment.
• Regular performance reviews to support your professional growth.
• 24 working days of paid vacation annually.
• Paid sick-leaves.
• English language classes.
• Compensation for educational and training programs.
• Team buildings and corporate events in a friendly and collaborative environment.

About the Role
We’re seeking a BA to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.
 

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.
Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation: 

• 50% — Feature delivery execution (backlog, user stories, sprint management)
• 20% — Technical documentation (BRD, PRD preparation)
• 15% — Quality & metrics (bug reduction, incident management, team performance tracking)
• 15% — Stakeholder coordination (customers, sales, support)

Report To: Head of Product
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response
• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track
• Incident Management: Experience triaging and coordinating response to production issues

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking
• Design: Figma collaboration for UI/UX specifications
• Communication: Slack, Zoom, async documentation practices

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams

• Customer-centric: Understands impact of delays and bugs on customer experience

   

🌟 Nice-to-Have (Bonus Qualifications)
Experience

• 1-2+ years product ownership experience
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)
• Experience managing API products or developer-facing features

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing
• Performance testing: Understanding of load testing and scalability considerations.

We are looking for an experienced Group Engineering Manager to lead and scale our engineering teams within a DevOps area, building a high-performance trading platform. You will be responsible for people leadership, delivery excellence, and technical direction across a hybrid infrastructure.

This role sits at the intersection of engineering, infrastructure, and business, with a strong focus on reliability, performance, and scalability in a latency-sensitive environment.

Responsibilities

• Lead and manage multiple DevOps engineering teams (30–50+ DevOps engineers) 
• Own delivery, quality, and technical outcomes across your engineering area 
• Partner closely with Product, Trading, and Senior Engineering leadership to translate business requirements into technical execution 
• Drive engineering strategy and cross-team alignment across the area 
• Coordinate architectural decisions and their implementation across teams 
• Ensure high availability, performance, and observability of production systems 
• Own the area roadmap and resource allocation across teams Identify and address systemic technical and organizational risks and ensure the long-term scalability and health of the engineering area 
• Hire, onboard, mentor, and grow Engineering Managers and support the development of engineering teams 
• Foster a culture of ownership, customer first, and result-oriented

Requirements

• 7+ years of professional experience as a DevOps or Back End Software Engineer 
• 3+ years in an Engineering Manager role, with experience managing Engineering Managers or Team Leads 
• Background in financial systems, trading platforms, or other high-reliability domains 
• Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies 
• Experience operating systems on AWS (EC2, networking, security, monitoring) 

• Familiarity with observability tools (metrics, logging, alerting) and performance monitoring

   

Will be a plus

• Experience working with on-premise infrastructure and hybrid environments 
• Hands-on experience in Ruby 
• Experience with low-latency or high-throughput systems 
• Exposure to trading, fintech, or market-data platforms 
• Experience scaling teams and systems 
• Hands-on experience with infrastructure-as-code tools

We offer

• 20 paid vacation days per year 
• 10 paid sick leave days per year 
• Public holidays as per the company’s approved Public holiday list 
• Medical insurance 
• Opportunity to work remotely 
• Professional education budget 
• Language learning budget 
• Wellness budget (gym membership, sports gear and related expenses)

About Us

We build AI-powered solutions that solve real business problems. Our team works with modern technologies to create scalable products and continuously explores new AI capabilities. You'll have the opportunity to work on AI-driven features while growing your expertise in this rapidly evolving field.

Responsibilities

• Develop and maintain full-stack applications using JavaScript/TypeScript.
• Build scalable backend services with Node.js (Express, Fastify, or NestJS).
• Develop modern frontend applications with React and Next.js.
• Design and maintain REST APIs and ensure reliable client-server communication.
• Integrate third-party APIs, authentication, and payment systems.
• Work with PostgreSQL and other databases.
• Collaborate with the team to design and implement AI-powered product features.

• Learn and adopt modern AI technologies as part of product development.

   

Requirements

• Strong problem-solving skills and willingness to learn.
• 3+ years of commercial experience with JavaScript/TypeScript.
• Solid production experience with Node.js.
• Strong experience with React and modern frontend development.
• Experience with Next.js is a plus.
• Good understanding of REST APIs, databases, application architecture, and debugging.

• Interest in AI technologies or commercial experience working with AI-powered products.

   

Nice to Have

• Experience with Python or FastAPI.
• Experience with Redis, queues, or caching.
• Familiarity with AWS or GCP.
• Experience with Docker and GitHub Actions.

• Knowledge of monitoring and observability tools.

   

What We Offer

• Competitive salary and performance bonuses.
• Remote-first culture.
• Flexible working hours.
• Open-minded and results-driven team.
• Opportunity to work with modern AI technologies and grow your expertise.
• High level of ownership and direct impact on the product.

Senior Backend Engineer (Go) — AI Infrastructure & Agentic Systems

Work Format: Fully Remote
Engagement: Freelance / Independent Contractor (B2B)
Workload: Full-time (40 hours/week)
Contract Duration: Initial 3 months, with the possibility of long-term extension
Compensation: Competitive, based on experience and qualifications
Start Date: ASAP

About the Role

We are looking for an experienced Senior Backend Engineer from Ukraine to contribute to the development of an advanced AI infrastructure platform.

The project focuses on building scalable backend services that enable intelligent AI agents to interact with external systems, execute complex workflows, and perform tasks autonomously.

You will work on challenging problems at the intersection of distributed computing, cloud infrastructure, and applied artificial intelligence.

As part of an international engineering team, you will help develop reliable infrastructure supporting multiple AI-powered applications and services.

Key Responsibilities

• Design, develop, and maintain high-performance backend services using Go.
• Build infrastructure supporting autonomous AI agents and multi-step task execution.
• Implement scalable mechanisms for AI model integration, tool orchestration, and asynchronous processing.
• Develop secure and extensible APIs and integrations with external systems.
• Improve the reliability, scalability, and performance of distributed services.
• Design solutions for long-running workflows, isolated execution environments, and fault-tolerant processing.
• Implement monitoring, logging, and observability solutions.
• Participate in architectural decisions and technical design discussions.
• Collaborate with backend, platform, product, and AI engineers.

• Maintain engineering standards through automated testing, code reviews, and continuous delivery.

   

Required Qualifications

Backend Engineering

• Strong commercial experience developing production-grade backend applications.
• Advanced proficiency in Go (Golang).
• Solid understanding of distributed systems, asynchronous processing, and service-oriented architectures.
• Experience designing secure, scalable, and fault-tolerant backend solutions.
   

Cloud & DevOps

• Hands-on experience with AWS and cloud-native application development.
• Experience implementing CI/CD pipelines and automated testing.
• Familiarity with production monitoring, observability, and performance optimization.
   

AI & LLM Integration

• Practical experience integrating LLMs or AI-powered functionality into production applications.
• Understanding of AI agent architectures, model orchestration, and tool-calling mechanisms.
• Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) architectures.
   

Engineering Practices

• Ability to independently evaluate technical trade-offs and make architectural decisions.
• Experience collaborating with cross-functional engineering teams.
• Strong problem-solving skills and a pragmatic approach to software delivery.
• Regular use of AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar solutions.
   

Nice to Have

• Experience developing autonomous AI agents and multi-step workflows.
• Knowledge of event sourcing and event-driven architectures.
• Python programming skills.
• Background in AI/ML infrastructure or developer productivity platforms.
• Experience working in startups or fast-paced technology environments.
   

Ideal Candidate

We are looking for a proactive engineer who combines strong technical expertise with a practical, results-oriented approach.

You should be comfortable working with evolving architectures, exploring emerging technologies, and taking ownership of solutions from initial design to production.

The ideal candidate:

• Makes independent technical decisions and takes responsibility for outcomes.
• Balances rapid delivery with reliability and maintainability.
• Thrives in dynamic environments with evolving requirements.
• Actively explores emerging AI technologies and development practices.
• Communicates effectively within distributed international teams.
• Demonstrates strong ownership, autonomy, and collaborative skills.
   

What We Offer

• Fully remote collaboration with an international engineering team.
• Full-time freelance engagement.
• Initial 3-month contract with the possibility of long-term cooperation.
• Opportunity to work with cutting-edge AI technologies and agentic architectures.
• Direct involvement in architectural decisions and technical implementation.
• Challenging engineering problems involving distributed systems and AI infrastructure.
• Flexible, results-oriented working environment.
• Competitive compensation based on experience and qualifications.

If you have strong Go backend development experience, solid expertise in AWS and distributed systems, and hands-on experience integrating LLMs and building AI-powered solutions, we'd be happy to hear from you!