Jobs at Djinni

About the role

ClassOwl is a school-management system used by educational institutions. We are hiring a Middle+/Senior PHP Full-Stack Developer to join the team and work on our existing product.

The application is built on a custom PHP framework. Most tasks involve extending and improving the current application: adding product functionality, changing web interfaces, maintaining APIs and integrations, and investigating issues reported from staging or production.

The developer will work across backend and frontend parts of a feature. It is important to understand an existing codebase, make changes carefully, and consider how they affect different school installations. We expect the person to take part in a feature from clarification and estimation to implementation and code review.
 

What you will work with

• backend and frontend features in an existing PHP application
• vanilla JavaScript, HTML, CSS, jQuery — not a React/Vue SPA
• MySQL and SQL queries
• REST APIs used by the mobile application
• third-party integrations
• debugging and fixing issues in staging and production
   

Responsibilities

• clarify requirements together with the Business Analyst, asking questions that help narrow down scope where needed
• estimate tasks and discuss solutions with the Lead Developer, considering the impact across different school installations
• review code from other developers and give constructive feedback
• maintain and extend REST APIs used by the mobile application
• integrate and maintain third-party services
• investigate and fix bugs reported by QA, Customer Support, and from staging/production
• write and optimize SQL queries for new and existing functionality
   

What we expect

• 4+ years of PHP web-development experience, including backend and frontend work
• strong knowledge of PHP, vanilla JavaScript, HTML, CSS, and MySQL
• experience writing and optimizing SQL queries
• experience working with an existing (legacy/production) codebase
• ability to work with REST APIs and third-party integrations
• Git and Linux experience
• English at B1 level or higher
   

Terms of cooperation

We offer two cooperation formats to choose from ФОП (standard) and ФОП+ (an extended package with paid vacation, bonuses, and additional compensations). Details of each format are discussed during the interview.

Trinity Partners is an international iGaming affiliate network working with top-tier advertisers and offering affiliates exclusive offers, strong brands, high approval rates, and stable payouts.

Our team actively participates in international conferences worldwide, follows a dynamic work approach, and provides strong opportunities for professional growth.
 

We are looking for an Affiliate Manager who can build long-term partnerships, work with performance metrics, and contribute to scaling traffic and results.
 

Responsibilities

• Attract new affiliate partners and develop long-term relationships with existing ones
• Monitor traffic quality, scale campaigns, and detect/prevent fraud
• Analyze key performance metrics (KPI, EPC, ROI, LTV) and prepare insights and recommendations
• Collaborate effectively with the team and coordinate with internal stakeholders
• Monitor market trends and optimize traffic flows
• Participate in international industry conferences
   

Requirements

• 1+ year of experience in the iGaming vertical
• Strong communication and negotiation skills
• Ability to work independently and within a team
• English level Intermediate or higher
• Proactive, result-oriented mindset with a growth-driven attitude
   

Nice to Have

• Existing affiliate partner base
• Experience working with Scaleo or other tracking platforms
• Experience in developing affiliate marketing strategies
   

We Offer

• Work with exclusive offers and reliable advertisers
• Stable payouts and high approval rates
• Opportunity to attend international conferences
• Dynamic work environment and professional growth opportunities
• Support from an experienced and collaborative team

Job Description

5+ years of experience in software development, with a focus on C#, React, and .NET Core.
Strong knowledge of object-oriented programming, design patterns, and modern software architectures (e.g. serverless, microservices, containerized, etc.).
Proficiency in front-end development using React.js and modern JavaScript/TypeScript frameworks.
Experience with cloud platforms (e.g., Azure, AWS, or GCP). - Azure preferred
Experience with CI/CD pipelines, unit testing, and deployment automation tools.
Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
Experience working with Azure DevOps for task tracking and code repository would be a plus.
Experience working with AI-based productivity tools would be a plus.
Experience with NextJS and Syncfusion UI component library would be a plus.

Job Responsibilities

Perform as part of a team in designing, developing, and deploying high-quality applications using C#, React, and .NET Core working on one of the workstreams on the project in Healthcare domain.

Conduct code reviews and support junior team members to ensure technical excellence and professional growth.

Department/Project Description

Client is a leading global Contract Research Organization (CRO) that provides Phase I-IV clinical trial management, market access, and technology solutions with over 30 years of experience.

Job Description

• 6+ years of experience in cloud infrastructure architecture and DevSecOps, with a specialized focus on Microsoft Azure enterprise environments.
• Strong proficiency in Infrastructure as Code (IaC) utilizing Terraform and Azure Resource Manager (AzureRM).
• Deep expertise in designing, automating, and maintaining continuous integration and continuous delivery (CI/CD) pipelines via Azure DevOps and Azure Pipelines.
• Proven experience in containerization and cloud orchestration using Azure Container Registry (ACR), Helm 3.x charts, and Alpine Linux container images.
• Expert-level knowledge of cloud security, networking, Web Application Firewall (WAF) configuration, Azure Defender scanning, Azure Key Vault secrets management, and Azure RBAC authorization models.
• Solid background in observability, centralized log management, and performance analytics using Azure Monitor, Azure Application Insights, and Log Analytics.
• Practical experience integrating static code quality gates (SonarQube) and automated test management tools within deployment pipelines.
• Solid understanding of underlying cloud database and messaging infrastructure, including Azure SQL Managed Instance, Snowflake, Redis Cache, and Azure Service Bus.
• Self-organized personality with strong verbal/written communication skills for leading cloud engineering teams and presenting architectural solutions to technical stakeholders..

Job Responsibilities

• Define the end-to-end cloud infrastructure topology, environment strategies (Dev, QA, UAT, Prod), and DevSecOps deployment frameworks.
• Build, configure, and manage scalable Infrastructure as Code (IaC) modules using Terraform for cloud resource provisioning.
• Design, build, and maintain automated CI/CD pipelines in Azure DevOps to support Angular frontend builds, .NET 8 backend microservices, and Python AI components.
• Configure and manage container repositories, image vulnerability scanning, and release orchestration via ACR and Helm 3.x.
• Implement comprehensive monitoring, metrics collection, log aggregation, and alert management frameworks across all active cloud environments.
• Address cloud infrastructure security risks, managing network boundaries, WAF rules, identity access controls (Azure Entra External ID), and secret rotation schemes.
• Apply automation techniques to streamline dynamic feature flag management, app configurations, and multi-tenant resource provisioning.
• Deliver technical leadership to DevOps engineers, conduct rigorous infrastructure reviews, and collaborate directly with backend leads, frontend architects, and product managers.

Department/Project Description

Our client is developing an advanced industrial asset intelligence platform engineered to drive digital aftermarket transformation and equipment lifecycle monetization. The system integrates edge hardware telemetry, on-premise production software, cloud data warehouses, and generative AI to deliver a unified real-time asset tracking, service optimization, and aftermarket commerce experience for factory operators, field service engineers, and distributors.
The platform architecture centers on a multi-tenant Microsoft Azure cloud foundation anchored by Azure App Services, Static Web Apps, Azure Container Registry (ACR), Alpine Linux container environments, Helm 3.x charts, Snowflake data warehousing, and Azure OpenAI Service.
The engineering initiative focuses on architecting automated Infrastructure as Code (IaC) with Terraform, establishing enterprise CI/CD pipelines via Azure DevOps, configuring Web Application Firewalls (WAF) and Azure Defender, integrating static code security analysis (SonarQube), and managing end-to-end observability (Azure Monitor, Application Insights, Log Analytics) across Dev, QA, UAT, and Production environments.

Job Description

Proven experience as a Data Analyst or Business Analyst, or similar role, with a focus on data products
Solid understanding of data analytics and data engineering concepts
Excellent communication, interpersonal, and presentation skills
Needs strong English language understanding and communication to interface with internal stakeholders
Strong analytical and problem-solving abilities
Knowledge of agile development methodologies (Scrum, Kanban)
Experience with Data Platforms & Data translation requirements for developers

Job Responsibilities

Regular communication with the client and 3rd party managers
Data Collection & Analysis: Gather, clean, and analyze data from various internal and external sources to identify trends, patterns, and insights that can drive business decisions.
Reporting: Prepare detailed reports, dashboards, and visualizations to communicate findings and recommendations to stakeholders.
Business Requirements Gathering: Collaborate with stakeholders across various teams to understand business needs and translate them into clear data and analytical requirements.
Manage the product backlog, ensuring it is clear and transparent to all
Routinely collaborate with teams on issues, the applicability of functions, technology solutions, usability, functionality
Conduct product demonstrations for stakeholders/customers

Department/Project Description

The Client is one of the leaders in medical science for more than 40 years, who committed to solving the challenges that matter most – united by a deep caring for human life. The mission is to advance science for life and transform lives through innovative medical solutions that improve patient lives, create value for end-users, and support the employees and the communities in which the Client operates.

So, choosing a career with our team isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

We are expanding our talent pool of Python Machine Learning Engineers to support upcoming international projects across various industries, including FinTech, Healthcare, Retail, Manufacturing, and SaaS.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new opportunities matching their expertise become available.

Our machine learning projects typically involve designing, training, deploying, and optimizing predictive models, recommendation systems, computer vision, NLP, and other AI-driven solutions using modern Python technologies and MLOps practices.

We are expanding our talent pool of Python Data Engineers to support upcoming international projects across various industries, including FinTech, Healthcare, Retail, Logistics, and SaaS.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new opportunities matching their expertise become available.

Our data engineering projects typically involve designing scalable data pipelines, building ETL/ELT processes, integrating multiple data sources, and developing modern cloud-based data platforms using Python and industry-leading technologies.

About The Company

 

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

 

Why does MWDN rock?

 

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.
  
   

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on .

 

What is your new project?

Domain: Media and Entertainment

Client Location: Israel

Company size: 5–10 employees

Founded in: 2025

 

What makes this project exciting?

 

Our new client is something really innovative! This Israel-based startup is building a mobile-first app for micro dramas - a short, scripted series made for smartphones. Think of it as TikTok with short episodes lasting 1 to 1.5 minutes.

The project already has strong support from an investor who believes in its massive potential. As it is still in the early development stage, this job is your chance to be part of a unique entertainment product. Are you ready to work on something fresh and impactful? Check out the opportunity below!

We are looking for a passionate and resourceful User Support Engineer to own the entire support function

 

What makes you a great fit
 

● 4+ years of experience in a customer support role within B2C mobile apps, gaming, or digital media

● Fluent English — excellent written and verbal communication skills, with the ability to represent the brand warmly and professionally.

● Hands-on experience with support platforms such as Intercom, Zendesk, or similar, including workflow automation and reporting.

● Strong analytical skills — comfortable digging into support data to identify trends and present findings to internal stakeholders.

● Highly organized and process-oriented, with the capability to manage high ticket volumes without compromising quality.

● Genuine empathy for users and a passion for solving problems efficiently.

● Experience handling payment and subscription-related support (Paddle, Apple IAP, Google Play).

Nice-to-have skills
 

● Familiarity with Braze, Mixpanel, or similar CRM/analytics tools.

● Background in building support functions from scratch at a scaling startup.

 

Your day-to-day in this position

 

● Support Operations: Handle and resolve support tickets across all channels (in-app, email, web), ensuring fast, high-quality responses that reflect our brand voice.

● Automation & AI Tooling: Design and implement AI-powered support workflows and automation (e.g., Intercom chatbots, macros, auto-routing) to scale coverage without scaling headcount.

● Data-Driven Insights: Analyze support conversation data to identify recurring issues, product pain points, and monetization friction — feeding those insights back to Product, CRM, and Engineering.

● Documentation: Build and maintain a comprehensive knowledge base, FAQ, and internal documentation to enable self-service and reduce ticket volume.

● Quality & Performance: Define support quality standards, track KPIs (CSAT, first-response time, resolution rate), and continuously optimize processes to hit them.

● Cross-Functional Collaboration: Collaborate closely with the CRM & Monetization team to flag user complaints related to billing, subscriptions, coin purchases, and payment issues.

 

Why work with us?

 

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• 29 days of PTO (18 working days per year pluse all national holidays)
• 10 paid recovery days
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support
  
   

Our next steps
 

✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Tech interview — ✅ Home assignment — ✅ Final client interview— ✅ Offer

We are looking for an experienced VAS Project Manager in Telco who will own our value-added services end to end: from the first service concept, through operator integration and testing, to launch and the daily work of keeping services healthy and growing. 
 

If you know how mobile operators actually work (billing cycles, subscription and charging flows, the difference between a VAS that launches and one that earns), this role is for you. 

About Us

We are Salasto, an Iraqi game-changer in Telco, Software, Game Development, and AI, based in Dubai, UAE. 
 

Our mission is to elevate Iraq’s tech industries to a global leadership level, with rapid expansion into international markets. 
 

The team offers a chance to grow alongside professionals in Telco, FinTech, Product & Game Development – a diverse and innovative environment with top-level professionals from Sweden, Iraq and Ukraine.

What you will do

• Run VAS projects end to end: service concept → operator integration and testing → launch → post-launch support and iteration.
• Keep everyone aligned: daily communication with operators, external partners, and internal teams; clear ownership, clear deadlines, work that actually ships.
• Own service health: monitor stability and daily performance of live services, and act before small issues become outages.
• Resolve issues at the root: diagnose where a problem genuinely originates, then fix it or route it to the right person fast.
• Coordinate delivery: delegate to internal teams and contractors, and hold the line on quality and timelines.
• Manage service content: keep VAS-facing texts and images current, accurate, and on-brand.
• Represent our services publicly: run our social media presence so it reflects the quality of what we build.

Must Have

1. 4+ years in Telco, with hands-on VAS experience
2. Strong grasp of core operator functionality: billing cycles, charging and subscription flows, VAS lifecycle management
3. Proven track record leading VAS projects from concept through launch
4. Ownership mindset – you spot what needs doing and do it without being asked or reminded 
5. English C1 or above

What we offer

1. Remote full-time position
2. Competitive salary and company benefits  
3. Career growth 

Interviewing Process

1. Intro interview: 30 min
2. Test task
3. In-depth interview: 1 h 

About the Role

We are looking for a Business Development Manager / Growth Manager to identify and implement new growth opportunities that can contribute to sustainable and profitable business growth. You will identify, evaluate, and develop opportunities with the potential to drive business results. The specific areas of focus will depend on your experience, strengths, and ability to identify where the business can achieve the greatest impact. 
 

Potential Growth Areas

1. Market Growth Opportunities

• Identify opportunities to expand into new markets, segments, or geographies
• Evaluate market potential and identify areas for sustainable and profitable growth
• Develop and test approaches to validate new market opportunities

2. Lead Generation Growth Opportunities

• Identify opportunities to improve lead generation and reach new potential customers
• Explore and test new approaches to customer acquisition, including partnerships as potential acquisition channels 
• Evaluate results and scale the approaches that demonstrate strong potential

3. Sales Funnel Growth Opportunities

• Identify opportunities to improve conversion and sales performance across the funnel
• Analyze customer and sales processes to identify areas for improvement
• Develop and test approaches to increase sales efficiency and revenue, including direct outreach and acquisition of high-value customers 
   

Requirements

• 1+ years of experience in Business Development, B2B Sales, Growth, Partnerships, or a related commercial role, with a proven track record of successful results.
• Understanding of sales funnels, pipeline management, and key commercial metrics
• Ability to independently research markets, test hypotheses, and turn opportunities into measurable results
• Confident use of AI tools, automation, and modern sales/growth tools
• English B2+
   

Nice to Have

• Experience with web hosting, infrastructure, SaaS, or adjacent industries
• Understanding of unit economics and business profitability 
   

What We Offer

• Global market
• A mature product with proven market demand
• Flexible work system and individual approach to compensation
• Regular review of income and bonuses based on results
• Compensation of tax payments and accounting support after successful adaptation
• Monthly payments, strictly on time
   

Working Conditions

Format: remote, Full-time, Monday to Friday 
Schedule: 9:00 - 18:00, flexible lunch break of 1 hour between 12:00 and 15:00
Trial period: 2 - 3 months (may be completed early, retroactively)
Contract-based cooperation.
 

Hiring Process

• CV and cover letter review
• Call with the HR gen.
• Interview with the team
• Offer

Note: Additional steps may be required.
 

Note

We will only provide feedback on the results of your resume review if we decide to proceed with your application. Otherwise, your information will be stored in our database, and we will contact you if a suitable position becomes available. The review process takes up to 10 business days.

About the Role

We are looking for a Partnerships Manager to build and expand our partner network by finding new opportunities, growing relationships, and developing sustainable business channels. You will have the flexibility to explore and prioritize the partnership models you see as most promising, which may include Affiliate, Referral, Reseller, MSP/IT, Distribution, Technology, Co-marketing, Marketplace, Channel, Strategic partnerships and etc.. Ideal candidates understand B2B partnerships and are comfortable working with technical products such as hosting, cloud, servers, or infrastructure. 

Key Responsibilities

1. Partner Acquisition

• Identify and approach potential partners across relevant markets and industries
• Build and manage a pipeline of partnership opportunities
• Negotiate cooperation terms, commissions, and commercial conditions

2. Partner Development & Support

• Develop long-term relationships with partners and help them achieve strong results
• Support partners throughout onboarding, launch, and ongoing cooperation
• Help partners set up processes and effectively use available opportunities
• Work with internal teams to resolve partner issues and support joint initiatives
• Monitor partner performance and identify opportunities for further growth

Requirements

• 1+ years of experience in Partnership Management or a related B2B role, with a proven track record of building and growing successful partnerships that generate measurable business results
• Strong negotiation and relationship-building skills
• Experience identifying and approaching potential partners
• Understanding of commercial models, commissions, referral programs, or similar partnership structures
• Strong communication and presentation skills
• Analytical mindset and ability to evaluate partnership performance
• Ability to independently identify opportunities and drive initiatives
• English B2+
• Ability and willingness to understand technical products and their business value

Nice to Have

• Experience with hosting, VPS, Dedicated Servers, Cloud, SaaS, or infrastructure products
• Experience with international partners, reseller, or channel programs
• Existing network of relevant industry contacts

What We Offer

• Global market
• A mature product with proven market demand
• Flexible work system and individual approach to compensation
• Regular review of income and bonuses based on results
• Compensation of tax payments and accounting support after successful adaptation
• Monthly payments, strictly on time

Working Conditions

Format: remote, Full-time, Monday to Friday 
Schedule: 9:00 - 18:00, flexible lunch break of 1 hour between 12:00 and 15:00
Trial period: 2 - 3 months (may be completed early, retroactively)
Contract-based cooperation.

Hiring Process

• CV and cover letter review
• Call with the HR gen.
• Interview with the team
• Offer

Note: Additional steps may be required.

Note

We will only provide feedback on the results of your resume review if we decide to proceed with your application. Otherwise, your information will be stored in our database, and we will contact you if a suitable position becomes available. The review process takes up to 10 business days.

As a Data Engineer on the Enterprise Data & Intelligence team, you will design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth. Reporting to the Senior Data Engineer, you will gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform. You will collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams.

Responsibilities:

1. Data Pipeline Development & Optimisation

•Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Azure Data Factory).

• Develop and refine data models to support BI reporting, analytics, and ML/AI use cases.

•Write efficient, well-documented T-SQL and PySpark code following team coding standards.

2. Data Quality, Testing & Governance

• Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability.

• Contribute to data governance practices, including lineage tracking, metadata management, and quality controls.

•Support CI/CD pipelines for data assets, ensuring version control and reproducibility.

3. Requirements Scoping & Cross-Functional Collaboration

•Partner with analytics engineers to scope, refine, and prioritise data requirements from business stakeholders.

•Work with Analysts, BI Developers, Data Scientists, and business teams to translate requirements into production-ready data solutions.

•Provide input on data readiness for machine learning and analytics projects.

4. Platform Contribution & Continuous Improvement

• Contribute to the evolution of the ED&I data platform, including tooling, standards, and documentation.

• Stay current with emerging data engineering patterns and technologies; propose improvements to team processes.

• Leverage AI-driven development tools (e.g., generative-AI code assistants, automated data profiling) to accelerate delivery.

• Support performance tuning and cost optimisation across the data platform.

Requirements:

Experience: 3+ years in data engineering or a closely related role.

Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Technical Skills:

○Strong T-SQL skills and working proficiency in PySpark or Python for data processing.

○Hands-on experience with MS Azure Storage Explorer and SSMS.

○Hands-on experience with cloud-based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric).

○Practical experience building ETL/ELT pipelines and dimensional or analytical data models.

○Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing.

Preferred Qualifications
• Experience with real-time or streaming data architectures.
• Experience with PowerShell, Apache Kafka, and/or KQL.
• Exposure to AI/ML workflows (feature engineering, data preparation for model training).
• Familiarity with Power BI or other BI/visualisation tools.
• Experience using AI productivity tools (e.g., ChatGPT, Claude, Copilot, Cursor) in day-to-day and data engineering tasks.
• Understanding of data security, privacy, and compliance considerations.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers
 

We are looking for a Middle Data Scientist with strong hands-on experience in time-series, deep learning, and Python development.

This role is a good fit for someone with 3+ years of professional experience in Data Science or Machine Learning, a strong understanding of neural networks, and practical experience developing predictive models for time-series and tabular data.

We expect solid knowledge of different neural network architectures, including recurrent and convolutional networks, as well as practical experience designing, training, tuning, validating, and deploying models.

Strong Python programming skills are essential for this position. You should also be confident working with statistics, data analysis, and production-oriented Data Science code.

What you will work on:

• Perform exploratory data analysis and prepare statistical summaries for hypothesis testing and data-driven decision-making.
• Build data preparation and feature engineering pipelines used by predictive models.
• Design and implement predictive modelling approaches.
• Continuously analyse and improve models already running in production.
• Take an active role in Python development related to end-to-end ML model delivery and support internal ML-related libraries.
• Tune loss functions, evaluation metrics, sample weights, hyperparameters, and other model components to improve model quality.

• Prepare detailed model evaluation reports, summarise findings, and communicate practical insights to stakeholders.

   

What we expect from you:

• At least 3 years of professional experience working as a Data Scientist or Machine Learning Engineer.
• Practical experience building custom neural networks with PyTorch.
• Strong knowledge of neural network architectures applicable to time-series forecasting and predictive modelling of tabular data.
• Experience working with layers such as LSTM, GRU, Conv1D, Dense, Dropout, and BatchNormalization, as well as activation functions including ReLU, Sigmoid, Tanh, and Softmax.
• Hands-on experience working with time-series datasets, including data loading, cleaning, preparation, and feature engineering with pandas and NumPy.
• Experience with the Darts library would be a significant advantage.
• Experience selecting and developing models available in Darts, as well as creating custom neural network architectures.

• Excellent Python knowledge and confidence working with libraries such as Scikit-learn, Pandas, PyTorch, and SHAP.

   

Python proficiency is particularly important for this role. Our projects require Data Scientists who can independently write, structure, and maintain Data Science functionality and supporting libraries.

You should also have:

• An understanding of statistics and data analysis.
• Experience selecting and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, as well as custom losses suitable for forecasting problems.
• Experience with hyperparameter optimisation tools such as Optuna or Hyperopt.
• Ability to implement and optimise PyTorch training loops, including data loaders and training/validation stages.
• Knowledge of cross-validation approaches designed specifically for time-series data.
• Understanding of regularisation techniques used to reduce overfitting.
• Strong knowledge of model evaluation metrics, including MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting approaches used to validate model performance.
• Experience with model deployment, including model serialisation and deployment for real-time services.
• Experience preparing visualisations with matplotlib, seaborn, or Plotly.
• Confident use of Git for version control and team collaboration.
• Strong self-management and organisational skills.

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.

Blackthorn Vision is seeking a Middle/Senior DevOps Engineer for an outstaff project with a global leader in energy technology. Founded in 1926 and headquartered in Houston, Texas, the company has 100,000 employees serving customers in more than 120 countries and develops software solutions for automation across the energy and industrial sectors.

Required Qualifications

• Hands-on expertise with Azure DevOps, Azure Cloud, Kubernetes, and Ansible.
• Strong experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
• Experience managing and supporting production-grade Kubernetes clusters and Operators
• Strong experience supporting cloud-native, microservices-based applications.
• Familiarity with Kafka, RabbitMQ, Redis, and distributed systems.
• Strong knowledge of observability stacks including Prometheus, Grafana, and Loki.
• Strong communication, collaboration, and problem-solving skills.
• Upper-Intermediate English level.

Preferred Qualifications

• Experience with Terraform or Bicep.
• Experience with GitOps tools such as ArgoCD.
• Docker
• OpenTelemetry
• ELK / OpenSearch
• Python Scripting
• Azure Security Services
• Service Mesh (Istio/Linkerd)
• Experience using AI-assisted tools such as GitHub Copilot, Microsoft Copilot, Cursor, or similar.

Key Responsibilities

• Design, develop, and maintain enterprise-grade CI/CD pipelines using Azure DevOps.
• Provision and manage infrastructure on Microsoft Azure Cloud.
• Deploy, manage, and troubleshooting applications running on Azure Kubernetes Service (AKS) and Kubernetes clusters.
• Develop, customize, and maintain Kubernetes Operators for application lifecycle management.
• Automate infrastructure configuration and application deployment using Ansible.
• Implement Infrastructure as Code (IaC) and DevOps best practices.
• Support and optimize Linux-based environments.
• Implement and maintain monitoring, logging, and alerting solutions.
• Collaborate with development teams to improve deployment reliability and release velocity.
• Troubleshoot production issues and perform root cause analysis
• Ensure security, scalability, availability, and performance of cloud infrastructure.

This is a high-impact, hands-on leadership role where you will combine strong backend engineering expertise with technical leadership and people development.

We’re looking for someone who is technically strong, hands-on, AI-driven, and passionate about developing people while building scalable and reliable systems.

What We’re Looking For

• 6+ years of hands-on software development experience
• 3–5 years of experience in a technical leadership or Team Lead role
• Deep hands-on expertise with Node.js — must-have
• Strong experience with AWS — must-have
• Experience with React — preferred
• Experience with Python — advantage
• Experience working with MongoDB
• Strong experience designing and building scalable backend systems
• Proven experience managing technical execution across multiple workstreams
• Strong understanding of software architecture, scalability, reliability, and clean code principles
• Experience delivering end-to-end features and projects from design through production
• Experience working in a fast-paced product environment
• Strong ownership mindset and ability to make technical decisions independently
• Strong communication and interpersonal skills
• Experience leading or collaborating with global or distributed teams
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
• Experience participating in customer-facing technical discussions

- Only specialists with proven engineering leadership experience will be considered.

What You’ll Be Doing

Leadership & Sprint Execution

• Own Team Execution: Lead the team across multiple workstreams, ensuring high-quality delivery and strong execution throughout every sprint.
• Drive Sprint Planning: Own the sprint planning process, including prioritization, capacity planning, and alignment on sprint goals and deliverables.
• Cross-Team Coordination: Act as the primary bridge between your team and other departments, proactively removing blockers and managing cross-team dependencies.
• Develop the Team: Improve team velocity and individual capabilities through ongoing coaching, mentoring, feedback, and identification of skill gaps.

Technical Excellence & Design

• Own Technical Design: Lead the technical design of features and solutions, ensuring they are scalable, reliable, maintainable, and built according to strong engineering standards.
• Stay Hands-On: Lead by example through active participation in high-scale, cloud-based development using technologies such as Node.js, AWS, and MongoDB.
• Drive Code Quality: Conduct thorough code reviews and promote best practices around architecture, maintainability, performance, and engineering quality.
• Partner with Product: Work closely with Product Managers to shape features from initial concept and technical design through development, release, and production.

Customer-Facing & Domain Ownership

• Engage with Customers: Participate in technical sessions with customers, helping address technical requirements, challenges, integrations, and product-related discussions.
• Own Your Domain: Serve as the technical focal point for your domain and manage communication with OX’s internal Customer Success teams.
• Shape Product Enhancements: Lead technical discussions and decision-making related to product improvements, new capabilities, and feature planning.

AI-First & Performance Mentality

• Drive an AI-First Culture: Integrate AI tools and workflows into the daily development lifecycle, including AI-assisted coding, automated testing, prompt-driven prototyping, and other productivity-enhancing practices.
• Improve Efficiency & Quality: Promote a strong “Get Things Done” culture where speed does not come at the expense of stability, scalability, or quality.
• Use Modern Engineering Tools: Ensure the team continuously adopts the best available technologies, tools, and development practices to improve productivity and overall engineering performance.