Jobs

Job Description

We are seeking a Technical Lead to drive the design and development of the new OneAPI backend platform, a scalable API infrastructure running on cloud-native architecture (AWS & GCP). The Technical Lead will guide a small team of engineers, provide hands-on coding expertise, and ensure delivery excellence with a DevOps-first mindset.

• 10+ years of backend engineering experience with strong expertise in Java & Spring Boot.
• Proven experience building platform-level APIs and distributed systems.
• Deep knowledge of cloud platforms (AWS and/or GCP) and cloud-native architectures.
• Strong Kubernetes (K8s) experience for container orchestration.
• DevOps mindset: CI/CD pipelines, monitoring, observability, automation.
• Experience leading small, versatile teams and collaborating across disciplines.
• Experience working in a team responsible for products quality
• Strong problem-solving and communication skills.

Job Responsibilities

• Lead architecture and technical design for the OneAPI backend platform.
• Drive best practices in coding, testing, CI/CD, and DevOps culture.
• Collaborate with stakeholders to define API standards, integration patterns, and platform roadmap.
• Provide technical mentorship and guidance to the engineering team.
• Ensure solutions are secure, scalable, and optimized for performance.
• Ensure quality of develope software
• Participate hands-on in development, especially in critical/complex components.

Department/Project Description

Our client is a global leader in cloud security, enabling organizations to securely transform their networks and applications for a mobile and cloud-first world. Through its Zero Trust Exchange™ platform, it provides fast, secure, and seamless access to applications, regardless of device, location, or network. Trusted by thousands of enterprises, their products help reduce risk, lower IT costs, and deliver a better user experience by replacing traditional on-premises security with a modern cloud-delivered approach.

About Us

billease offers you the easiest way to afford what you want and need today. Our brand centers around making shopping and payment processes seamless and convenient. Our customers have diverse lifestyles and are looking to enhance their shopping experiences both online and offline. It's essential for us to embody the core of our brand name billease, a combination of "bill" and "ease," pronounced bilis, which means speed or swiftness in Filipino.

Discover more about us here: https://billease.ph/about-us

Head of Business / System Analysis

We are seeking a seasoned Head of Business / System Analysis to lead and scale our BA/SA function within the Engineering organization. This is a senior leadership role with ownership of a team of ~10 Business and System Analysts embedded across multiple product domains.

You will serve as the critical bridge between business stakeholders, product, and engineering—ensuring complex business needs are translated into clear, actionable, and well-structured system specifications. You will also elevate the overall quality, consistency, and maturity of analysis practices across the organization

Key Responsibilities

Team Leadership & Development

• Lead, mentor, and scale a team of ~10 Business/System Analysts across multiple product squads
• Define team structure, roles, and clear career progression paths
• Conduct regular 1:1s, performance reviews, and development planning
• Hire, onboard, and retain top BA/SA talent aligned with company growth
• Foster a collaborative, accountable, and knowledge-sharing culture

Analysis Practice & Standards

• Define and enforce standards, templates, and best practices across analysis and documentation (BRDs, PRDs, functional specs, API contracts, BPMN, data models)
• Drive consistency and quality across all analytical outputs—from user stories to solution designs
• Establish a strong documentation culture across a 50+ microservices landscape
• Champion modern tools and frameworks (e.g., Figma, BPMN, OpenAPI/Swagger, ClickUp, Confluence-style wikis)

Stakeholder Management

• Act as a trusted partner to senior and C-level stakeholders on system capabilities and requirements clarity
• Facilitate discovery sessions, workshops, and design reviews across business, product, and engineering
• Translate ambiguous business goals into structured, testable, and implementable specifications

Cross-Functional Delivery

• Oversee BA/SA contributions across the full product lifecycle—from discovery to post-release evaluation
• Partner closely with Engineering Managers, Product Owners, and QA to ensure requirement clarity and minimize rework
• Review and approve requirements for complex or high-impact initiatives
• Identify risks, gaps, and ambiguities early in the delivery pipeline

Process Improvement & Governance

• Continuously improve how requirements are gathered, documented, and validated
• Establish quality gates and review checkpoints within delivery workflows
• Lead retrospectives within the BA team to improve efficiency and impact
• Track team performance metrics and provide reporting to engineering leadership

The Ideal Candidate:

Experience

• 5+ years in Business Analysis, System Analysis, or a related discipline
• 3+ years in a leadership role managing analysts or cross-functional teams
• Experience in a product-driven, high-scale tech environment (fintech, banking, or financial services preferred)
• Proven track record managing multiple concurrent initiatives across complex domains

Technical Capability

• Comfortable working with API specifications (REST, OpenAPI/Swagger)
• Proficient in BPMN for process modeling
• Strong understanding of microservices and distributed systems
• Working knowledge of SQL for data validation and analysis
• Ability to engage in technical discussions (data models, integrations, event-driven systems)
• Familiarity with feature flags, rollout strategies, and fallback design

Technology Environment

You will operate within a modern fintech stack, including:

• Backend: Python (Django, FastAPI, Flask), REST APIs, OpenAPI
• Data: PostgreSQL, SQL, data modeling
• Frontend/Mobile: React/Angular, Android (Kotlin), iOS
• Architecture: Microservices (~50 services), event-driven systems
• Infrastructure: AWS, Docker, Kubernetes, CI/CD
• Banking & Payments: Mifos, QRPH, PESONet, e-wallet integrations
• Tools: BPMN, ClickUp, Figma, GitLab, documentation platforms

We are seeking an experienced and talented Backend Team Leader (AI-Driven Lifecycle Specialist) 

Looking for a visionary Backend Team Leader to spearhead a newly formed high-performance engineering squad. In this role, you will manage a team of 6–8 members, including Senior Frontend and Backend Engineers. You are a "trusted person" responsible for both project success and the individual growth of your team.
Beyond traditional leadership, you will be the champion of AIDLC (AI-Driven Lifecycle), ensuring the team utilizes AI tools not just for unit testing, but across the entire development spectrum to radically accelerate delivery.

Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Software & Hightech, and Gaming.
For the fifth year in a row, Innovecs is included in the Inc. 5000 and recognized in IAOP’s ranking of the best global outsourcing service providers. Innovecs is featured in the Global Top 100 Inspiring Workplaces Ranking and won gold at the Employer Brand Management Awards.

Our value to you: 

• Flexible hours and remote-first mode
• Competitive compensation
• Complete Hardware/Software setup – anything you need for work
• Open-door culture, transparent communication, and top management at a handshake distance
• Health insurance, vacation, sick leaves, holidays, paid maternity/paternity leave
• Access to our learning & development center: workshops, webinars, training platform, and edutainment events
• Virtual team buildings and social activities 
          

If you feel like you’re the perfect match for this role, drop us your CV! 

There are no limitations, no barriers when the right people are on your way — apply for the vacancy and succeed with us!

Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.

Requirements

• Expertise in AI‐Driven Development Lifecycle (AIDLC) and the ability to embed AI across design, development, testing, deployment, and operations.
• Expertise in Asp.Net 7/8, Web API, and C# for building scalable backend services.
• Expertise in Microservice Architecture and Domain‐Driven Design (DDD), including structuring complex domains and designing distributed systems.
• Expertise in Unit and Integration Testing using xUnit, NSubstitute, and modern testing practices.
• Expertise in relational data access with T‐SQL, EF Core, and Dapper.
• Above‐average level in distributed messaging and caching technologies such as Redis, Kafka, or RabbitMQ.

• Above‐average level in containerized development and cloud‐native deployment, including Docker and Kubernetes.

   

Responsibilities

• Full-Spectrum AI Integration: Implement and oversee the "full use of AI" across the SDLC—from architectural design and code generation to debugging and deployment—to maximize team velocity.
• Accelerated Delivery: Use AI-driven insights to meet and exceed performance benchmarks, ensuring that technical debt is minimized while output is maximized.
• Prompt Engineering & Mentorship: Mentor the team in AI best practices, ensuring AI is used as a core engine for development, not just a complementary tool.
• Performance & KPIs: Define and monitor clear KPIs with team members, reporting progress to senior management.
• Bi-directional Growth: Conduct monthly 1-on-1s and 6-month formal feedback sessions to support career paths and personal development.
• Code Quality: Enforce a strict 97% code coverage ratio and maintain a code churn of 10% or less during the final two days of a sprint.
• Stability: Ensure less than 1% of deployed code results in downtime.
• Review Process: Lead code reviews focused on performance, standards, and observability.
• Documentation: Foster a sharing culture by keeping the wiki updated and sharing monthly technical articles with the team.
• Data-Driven Decisions: Use analytical rigor and data to guide the team’s direction.
• Autonomy: Provide clear goals in our Agile environment and empower the team to be self-directing.
• Risk Mitigation: Act as a "lantern" for the team, identifying and solving problems before they escalate.

We are looking for an AI/ML Engineer to help build AI-powered systems using modern LLM architectures.

Responsibilities:

• Design the pipeline from input processing to generation and streaming.
• Implement file processing and context preparation.
• Build semantic search and summarization using embeddings and vector databases.
• Develop structured and hierarchical LLM outputs.
• Design agent architectures (roles, context management, JSON Patch updates).
• Select and implement frameworks such as LangGraph, LangChain, or alternatives.

• Optimize performance, reliability, and error handling.

   

Requirements:

• Strong Python and AI/ML experience.
• Experience with LLMs, RAG pipelines, embeddings, and vector DBs.
• Familiarity with AI orchestration frameworks (LangChain, LangGraph, etc.).
• Understanding of agent-based systems and structured outputs.

• Good English communication.

   

Format: Part-time collaboration, flexible schedule.

What We Offer :

 Professional Growth & Support:

• Mentorship: Hands-on learning from senior experts.
• Career Growth: A clear and documented path to advance.
• Feedback: Continuous support and regular performance reviews.

• Accounting: Full paperwork and tax support managed by us.

   

 Work-Life Balance & Flexibility

• Flexibility: Work from home or our Lviv office (Hybrid).
• Vacation: 18 days of paid annual leave.
• Extra Leave: 10 additional paid days off every year.

• Sick Days: 5 paid days for your health and recovery.

   

 Culture & Office Life

• Office Perks: Free lunches for those working from the office.
• Team Events: Regular gatherings and community-building activities.
• Celebrations: Personal gifts for your work milestones.
• Team Spirit: Corporate gifts and a supportive atmosphere

We are looking for an experienced Lead Full stack Engineer (Node.js & React) to join our development team in Lisbon. This role is 80% Backend (Node.js) and 20% Frontend (React), where you’ll help build and scale a next-generation payments integration platform that connects businesses with multiple financial service providers through secure, high-performance APIs.

🎯 Your Mission

Design and implement robust solutions that power our payments platform, ensuring scalability, security, and reliability. You will contribute to building seamless integrations with banks and payment providers while actively participating in the evolution of a cutting-edge fintech product.

✅ Responsibilities:

✔️ Being transparent with the team about challenges, failures, and successes.

✔️ Hiring and training technical personnel.

✔️ Determining project requirements and developing work schedules for the team.

✔️ Delegating tasks and achieving daily, weekly, and monthly goals.

✔️ Liaising with team members and management to ensure projects are completed to standard.

✔️ Motivating staff and creating a space where they can ask questions and voice their concerns.

✔️ Delegating work and assignments to team members.

✔️ Collaborating with their team to identify and fix technical problems.

✔️ Lead the development of our in-house fintech platform with a focus on performance, scalability, and security.

✔️ Build and manage complex payment API integrations with banks, PSPs, and third-party services.

✔️ Contribute to backend development, ensuring consistency and stability across the product.

✔️ Actively participate in developing new features from concept to production.

✔️ Collaborate with product managers, designers, and stakeholders in agile workflows to ensure technical feasibility and business alignment.

✔️ Support the evolution of the architecture towards modern patterns (microservices, messaging systems, and scalable infrastructure).

✅ Requirements:

✔️ At least 8+ years of professional experience in the IT field.

✔️ 3+ years of experience in leadership positions.

✔️ 3+ years of commercial experience with Node.js.

✔️ 5+ years of commercial experience in web development.

✔️ Knowledge of JavaScript and the ECMAScript 6 standards.

✔️ Commercial experience in implementing REST and WebSockets.

✔️ Experience with Git version control system.

✔️ Experience with commercial databases, MySQL.

✔️ Experience with RabbitMQ.

✔️ Experience with Redis.

✔️ B2 level of English.

✔️ Excellent technical, diagnostic, and troubleshooting skills.

✔️ Strong leadership and organizational abilities.

 

We’re Australia’s largest specialist kitchenware retailer and ecommerce operator. We’re a genuinely product-obsessed team that cares about cooking, about customers, and about building things that work.

Right now we’re in the middle of something exciting. Our Rewired initiative is embedding AI into how we work, as a fundamental shift in how our teams operate. We’re building agents that automate operational workflows, AI-powered tools for our customer service and merchandising teams, and generative applications across our GCP stack. This role sits at the centre of that build.

We are looking for an experienced and organized Development Team Lead to manage our implementation team in Toronto. 

You will coordinate and support front-end developers responsible for UI implementation across multiple web projects. This is a hands-on leadership role requiring technical know-how and team management experience.

Responsibilities:

• Lead and manage a team of front-end developers, ensuring timely delivery of assigned projects
• Plan and assign tasks, manage team capacity and workflows
• Review code, enforce best practices, and ensure quality control
• Collaborate with design, product, and back-end teams to align implementation goals
• Mentor junior developers and facilitate continuous improvement
• Identify bottlenecks and suggest process improvements

Requirements:

• 5+ years in front-end or web development, and 1+ year in a lead/management role
• Solid understanding of HTML/CSS, pre-processors (SASS/SCSS), and basic JS
• Experience in managing implementation/templating teams
• Strong project ownership, time management, and people skills
• Fluent communication in English and experience working in cross-functional teams

Nice to Have:

• Familiarity with Agile or Kanban workflows
• Experience with Jira/Confluence, Bitbucket/Git
• Background in iGaming or regulated platforms

About the role:

We’re building a modern multi-tenant SaaS platform with a strict TypeScript monorepo (frontend + backend).

Looking for a Senior Full-Stack Developer to work on new features, integrations, and performance improvements.

Tech stack:

• TypeScript (strict, no JS)
• React (hooks, context, custom state)
• Node.js (Express 5)
• PostgreSQL (Neon) + Drizzle ORM
• Vite, Tailwind CSS

What you’ll do:

• Develop and improve product features
• Work across frontend and backend
• Build and maintain integrations (payments, maps, AI)
• Optimize performance and scalability

• Keep a clean and strongly-typed codebase

   

Requirements:

• 4+ years of experience with JavaScript/TypeScript
• Strong experience with React
• Solid Node.js + REST API design
• Good SQL / PostgreSQL knowledge
• Experience with modern tooling (Git, Vite, etc.)

Nice to have:

• Stripe or SaaS billing systems
• Google Maps API / geospatial data
• Experience with OpenAI or Gemini
• Mailgun / Twilio integrations
   

Product highlights:

• RBAC & subscription-based access
• Integrations: Stripe, Google Maps, AI services
• Digital signature workflows

About Billease

Billease is the leading buy now, pay later (BNPL) platform in the Philippines. Were building financial products that are simple, fair, and useful for millions of customers. Our design team is small but punches above its weight, we work fast, test constantly, and care about outcomes more than pretty decks.

The Role

Were looking for a Full-Stack Product Designer, someone who can take a customer journey from messy problem to polished, shippable design. You'll cover the full stack:

• UX mapping flows, fixing friction points, creating clarity in complex journeys
• UI hands-on in Figma, setting strong visual direction, keeping consistency across screens
• Systems thinking building design frameworks that scale across products
• Delivery working side-by-side with product managers, engineers, and marketers to make sure what ships is what you designed

You wont just be pushing pixels. You'll be in customer interviews, in data dashboards, in design reviews, and in production releases.
 

What you'll do

• Own design for end-to-end journeys (e.g., wallet loan, mobile load, shopping integration)
• Translate customer and business needs into simple, elegant solutions
• Create wireframes, prototypes, and final UI in Figma and ensure they get built right
• Partner with product, UX research, and lifecycle to align design with real customer behavior
• Maintain and evolve our design system for speed and consistency

• Balance speed with craft knowing when to ship scrappy and when to polish

   

What were looking for

• 5+ years in product design, ideally at consumer tech, fintech, or e-commerce companies
• Strong portfolio showing end-to-end ownership (flows, UX decisions, UI craft)
• Comfort jumping between high-level strategy and detailed design work
• Skilled in Figma (components, auto-layout, prototyping)
• Basic knowledge of usability testing and data-driven iteration
• Great communicator - clear, straightforward, no fluff

• Hungry to learn, humble to feedback, biased to action

   

Nice to have

• Experience in top fintech organizations, preferably on emerging markets
• Motion/interaction design skills (for smoother app experience)

• Understanding of front-end implementation (so you can speak engineer)

   

Why Billease

• Impact: your work will shape the daily financial lives of millions
• Speed: we move fast, test, and iterate no endless approvals
• Team: small, sharp, and direct. No politics, just outcomes
• Growth: space to own big pieces of the product and grow with them

We are seeking an experienced Chief Marketing Officer (CMO) to lead our comprehensive marketing strategy and operations across all B2C brands in our iGaming portfolio. You will be responsible for driving customer acquisition, brand positioning, market expansion, and revenue growth through integrated marketing campaigns. This is a senior leadership role requiring deep knowledge of iGaming market dynamics, digital marketing channels, customer acquisition strategies, brand positioning, and comprehensive performance measurement across all marketing touchpoints and customer lifecycle stages.

Responsibilities:

• Develop and execute a global marketing strategy tailored to the iGaming industry (online casino, sports betting, esports, lotteries, etc.).
• Drive player acquisition, retention, and reactivation campaigns across multiple regions.
• Build and oversee multi-channel marketing campaigns (SEO, PPC, affiliates, display, social media, influencers, email, push, in-app, etc.).
• Establish and optimize the Affiliate & Partnership Program to ensure a steady inflow of high-quality traffic.
• Develop and implement strategies for growing the affiliate program.
• Design and optimize processes for attracting and onboarding new partners.
• Launch and scale new verticals and expand into new GEOs.
• Manage marketing and affiliate teams: set goals, provide training, motivate, develop, and monitor performance.
• Build long-term partner relationships, including engagement at C-Level.
• Ensure marketing compliance with local gaming regulations, licensing requirements, and responsible gaming policies.
• Monitor and optimize KPIs specific to iGaming: CPA, ARPU, LTV, churn rate, retention %, deposit-to-registration conversion, ROI by channel.
• Manage user acquisition budgets, ensuring maximum efficiency and profitability.
• Collaborate closely with Product, CRM, and other teams to create personalized player journeys and loyalty programs.
• Lead brand-building initiatives in highly competitive and regulated markets.
• Develop sponsorships, media partnerships, and influencer collaborations within the gaming, sports, and entertainment sectors.
• Analyze market trends, competitor strategies, and customer behavior to identify new growth opportunities and optimize marketing strategy.
• Present marketing performance, insights, and strategy updates to the CEO, board, and investors.
• Purchase of various traffic types.
• Planning and structuring traffic budgets for the month and year.
• Conducting marketing research of markets where the company is present and markets we plan to enter.
   

We're a boutique software company building custom ERP systems for clients across healthcare, food manufacturing, fintech, and e-commerce. Our solutions help businesses streamline complex processes — and we build them with care, using modern technologies and close collaboration with clients.

As we take on more projects at different stages, we're looking for a developer who can step into an active team, get up to speed quickly, and start making a real contribution early on. If you're someone who adapts well to new contexts — whether it's a different codebase, domain, or team dynamic — this could be a great fit.

Tech stack

• .NET Core
• EF Core
• MSSQL
• Angular
• DevExtreme
• Cloud platforms

Who we're looking for

• Solid hands-on experience with .NET Core and Angular (6 years of experience)
• Experience working on ERP or business management systems
• Ability to onboard quickly and contribute meaningfully from early on
• Good communication in English (B2 or above)
• Openness to working across different domains and teams

What we offer

• Fully remote with flexible schedule
• Long-term, stable engagement
• International, mostly Ukrainian team
• Minimal bureaucracy and management overhead
• Work on meaningful, production ERP systems in real industries

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

We are hiring a Senior DevOps Engineer for a fast-growing product company building a scalable cloud-based platform. The system handles real production workloads and requires a strong focus on reliability, automation, and performance across the entire infrastructure layer.

The platform is built as a cloud-native system running on GCP, with modern CI/CD pipelines, containerized services, and infrastructure as code. The engineering team is focused on delivering high-quality software with strong operational excellence, while continuously improving system scalability and resilience.

In this role you will take ownership of the DevOps domain, working closely with engineering teams to design, implement, and maintain infrastructure and deployment pipelines. You will play a key role in ensuring system stability, security, and performance, while driving automation and best practices across the organization.

Responsibilities

• Design and maintain scalable, secure, and highly available cloud infrastructure on GCP

• Build and manage CI/CD pipelines using GitHub Actions

• Automate software delivery and deployment processes end-to-end

• Implement monitoring, logging, and alerting systems to ensure reliability and performance

• Collaborate with development teams to optimize applications and troubleshoot production issues

• Drive infrastructure as code practices using Terraform

• Enforce security best practices across infrastructure and services

• Automate operational workflows to reduce manual effort and improve efficiency

• Participate in on-call rotations and resolve critical production incidents

• Mentor engineers and contribute to overall DevOps maturity

Tech Stack

• Cloud: GCP

• CI/CD: GitHub Actions

• Containers: Docker, Kubernetes

• Infrastructure: Terraform

• Scripting: Python, Bash, JavaScript

• Monitoring: Prometheus, New Relic

Requirements

• 5+ years of experience in DevOps or infrastructure engineering

• Strong hands-on experience with GCP in production environments

• Solid experience building and maintaining CI/CD pipelines

• Strong knowledge of containerization and orchestration using Docker and Kubernetes

• Experience with infrastructure as code using Terraform

• Strong understanding of networking and security principles

• Experience with scripting and automation

• Ability to troubleshoot complex production issues

• Strong communication skills and ownership mindset

Nice to Have

• Experience building custom Terraform providers

• Background in microservices architecture

• Experience with SQL or NoSQL databases

• Experience with performance optimization and system tuning

• Relevant cloud certifications

This is a long-term opportunity to work on a production-grade system with real scale, strong engineering standards, and a focus on reliability and automation. You will have direct impact on infrastructure decisions and the overall DevOps strategy of the company.