Jobs

About the role

We are looking for an AI Lead Engineer to drive the technical strategy and delivery of AI-powered solutions across client projects and internal initiatives. You will own end-to-end execution: from discovery and solution design to implementation, deployment, and continuous improvement.

This is a hands-on leadership role: you will architect, build, and mentor, while collaborating closely with Delivery, Product/PM, and Engineering leadership.

What you’ll do

• Lead AI solution design for client projects (LLM apps, RAG, assistants, automation, analytics/ML features).
• Own technical architecture: model selection, prompting, RAG pipelines, evaluation, observability, performance, scalability.
• Build production-grade AI services (APIs, background workers, integrations) and ensure quality, reliability, and security.
• Define best practices: coding standards, reusable components, templates, and reference architectures.
• Establish evaluation & QA practices for AI outputs (offline evaluation sets, automated tests, human review flows).
• Drive cross-functional alignment with PM/BA and stakeholders; translate business needs into technical scope and milestones.
• Mentor engineers, run technical reviews, and help grow AI competency across the organization.
• Support presales: effort estimation, technical discovery, solution outlines, and risk/assumption management.

Requirements

• 5+ years of software engineering experience, with 2+ years building AI/LLM-enabled products (or equivalent depth).
• Strong experience with Python (preferred) and/or TypeScript/Node.js in production systems.
• Solid understanding of:
  • LLM application patterns: RAG, tool/function calling, agents/workflows, prompt engineering
  • Embeddings, vector databases, retrieval strategies, reranking
  • Model performance, cost optimization, latency management
• Experience building APIs and services (REST/GraphQL), background jobs, integrations with external systems.
• Hands-on experience with cloud deployment (AWS/Azure/GCP) and modern DevOps practices (CI/CD, containers).
• Ability to lead technical decisions, communicate trade-offs, and manage delivery risks.
• Strong written and spoken English (client-facing communication).

Nice to have

• Experience with evaluation frameworks (e.g., custom eval harnesses, golden datasets, automated regression tests).
• Fine-tuning / adapters, classical ML pipelines, MLOps tooling.
• Experience with privacy/security constraints (PII handling, access control, audit trails).
• Prior experience in outsourcing/consulting environments with multiple parallel clients.

Typical tech stack (flexible)

• LLM providers: OpenAI / Azure OpenAI / Anthropic / open-source (as needed)
• Frameworks: LangChain / LangGraph / LlamaIndex (or custom pipelines)
• Vector DB: Pinecone / Weaviate / Qdrant / pgvector
• Backend: Python (FastAPI) and/or Node.js (NestJS)
• Data: Postgres, Redis, object storage
• Infra: Docker, Terraform (optional), GitHub Actions, Kubernetes (optional)
• Observability: OpenTelemetry, Prometheus/Grafana, Sentry; LLM tracing tools when relevant

What success looks like (first 3–6 months)

• You ship at least 1–2 AI solutions into production with measurable value (quality, latency, cost).
• You establish a repeatable blueprint for AI projects (architecture + evaluation + deployment checklist).
• The team has clear standards for building and testing AI features, and delivery predictability improves.

Working conditions

• Remote-friendly (Europe time zone preferred; partial overlap required).
• Project-base engagement.
• Opportunity to influence architecture, team practices, and the AI roadmap.

The client is one of the largest global independent private equity fund administrators, administering over $300 billion of private capital on behalf of its clients with offices in New York, San Francisco, Boston, Stamford, Dallas, and Luxembourg. They offer private fund sponsors a best-in-class combination of people, process, and technology, enabling fund sponsors to most effectively manage their operational infrastructure, financial reporting, and investor communications.

The client represents the most experienced and longest-tenured team in the private equity fund administration industry, with broad expertise across buyout, funds of funds, real estate, energy, infrastructure, credit, co-investment, hybrid funds, feeder funds, venture capital, retail, and managed accounts.

The project aims to provide well-prepared and formatted analytic data for the customer.

Responsibilities: 

Own the architecture and delivery of LLM-powered chatbot solution for enterprise financial platform. Responsible for orchestration logic, prompt engineering strategy, model governance and technical leadership across AI components.

• Define LLM orchestration architecture (single-agent pattern)
• Design prompt engineering strategy and system prompting
• Define model behavior guardrails and safety controls
• Lead golden dataset validation strategy
• Own AI risk mitigation (hallucination control, determinism limits)
• Collaborate with BE/FE/DevOps on integration
• Technical leadership & code review for AI components

Requirements: 

• 5+ years in AI/ML engineering
• Strong hands-on with LLM APIs Azure AI Foundry
• Prompt engineering in production systems
• Experience with RAG / structured API orchestration
• Understanding of AI governance & enterprise compliance
• Upper-Intermediate or higher level of English

What is in for You: 

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.
We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Requirements

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

We are a Ukrainian product IT company developing B2C projects in the iGaming industry. We bring together ambitious and proactive teams, combining strong in-house expertise to achieve bold goals and build successful products.

Our success is driven by people who are results-oriented and motivated to grow. With us, professionals develop, realize their потенціал, and build strong careers. And the good news — we are always looking for top talent to join our team.

Currently, we are looking for an experienced Head of Finance who will ensure effective financial management of the company and drive the achievement of our strategic financial goals.

Why join us?

• Our founders have successfully built three iGaming businesses, providing the team with deep industry expertise and strong networking.
• We operate in Tier 1 markets (no CIS markets).
• Full remote format.
• Product startup environment: highly motivated team, minimal bureaucracy, fast decision-making.
• Professional growth and challenging, high-impact tasks.

Key Responsibilities

• Financial Planning & Management: Develop, implement, and monitor budgets; analyze P&L, manage balance sheet and cash flow.
• Reporting & Financial Systems: Design, implement, and optimize reporting systems to ensure financial transparency and support data-driven decision-making.
• Lead and develop the finance team (people & process management).
• Implement and improve financial systems and tools.
• Define the company’s financial goals and build strategies to achieve them.
• Oversee financial control and audit processes.

Nice to Have

• Professional certifications such as ACCA, CPA, CFA, or equivalent.

Requirements

• Proven commercial experience in the iGaming industry with strong understanding of its specifics.
• 3+ years in senior finance leadership roles within iGaming companies and at least 1 year in a Experience working as a Head of the Finance Department or Chief Accountant.
• Strong expertise in management reporting, financial standards, and reporting systems; deep understanding of P&L, balance sheet, and cash flow.
• Strategic business mindset, adaptability to change, and commitment to high financial discipline standards.
• Product-oriented expertise (unit economics, key product metrics, performance indicators).
• Cross-functional collaboration experience with marketing, product, tech, and operations teams.
• Strong partnership with CEO in strategic decision-making and business performance control.
• Ability to present financial data to executive leadership and stakeholders.
• Experience working with English-language reports and international partners.
• Strong analytical skills: ability to work with large data sets, forecast financial performance, identify risks, and propose solutions.
• Advanced Google Sheets skills (complex reporting and modeling).

What We Offer

• Fully remote work from any convenient location.
• Regular salary and grade reviews.
• Modern equipment for your comfort.
• Coverage of learning and professional conferences.
• No micromanagement — we trust your expertise and ownership.

If you feel there is a match, send us your CV.

What’s next?

CV review → Recruiter interview → Hiring managers interview → Offer → Welcome to the team.

We look forward to meeting our future teammate

We’re looking for a talented and experienced UX/UI Designer to join the Teplin team!

If you’re passionate about design, ready to take ownership of your projects, and thrive in a dynamic and creative environment, let’s talk!

What we expect from you:

• 4+ years of experience in UX/UI design.
• Proficiency in Figma.
• A portfolio that highlights your skills and design process – you’re proud to show it off!
• Comfortable delivering presentations in English via Zoom.
• A passion for creating user-centric designs and solving real-world problems.

What you’ll be doing:

• Designing modern, adaptive websites, SaaS platforms, e-commerce stores, and mobile apps.
• Managing the full design process – from concept to final delivery.
• Creating original design concepts that offer intuitive, user-friendly experiences.
• Collaborating closely with developers and cross-functional teams.
• Leveraging data and analytics to make informed design decisions.

Why join us?

• Work remotely with a global team.
• Freedom to implement your ideas.
• Celebrate your birthday with a day off.
• Compensation for professional development courses.
• Paid sick leave and 21 paid vacation days annually.
• Competitive salary in USD.

Join a team where your contributions make a real difference!

Our hiring process:

Step 1 — Test Task ➠ Step 2 — Interview with HR ➠ Step 3 — Interview with CEO ➠ Step 4 — Offer
 

P.S: Applications are reviewed within 7 business days. If you do not hear back from us during this time, it means we have reviewed your resume, but currently, your experience does not meet our expectations

Akvelon is looking for a Senior Middleware Engineer to join an existing team on the project — a flexible Terminal Operating System (TOS) platform for marine terminal operators that helps optimize and scale port operations. The system is multi-language, highly configurable per site, and supports workflows handling ~12% of all global freight moves.

Responsibilities:

• Develop and maintain middleware/backend services and integrations for a large-scale enterprise platform;
• Design and optimize services with a strong focus on performance, reliability, and scalability;
• Work with Java 11/17 + Spring/Spring Boot, ensuring clean architecture and maintainable code;
• Perform memory management and performance tuning for high-load components;
• Write and maintain unit tests, contribute to overall quality and engineering standards;
• Collaborate with product/engineering stakeholders and communicate progress clearly;
• Occasionally support React-based UI parts when needed (integration points, minor UI tasks).
   

Requirements:

• Senior-level experience in backend/middleware engineering;
• Deep expertise in Java (11/17) + Spring/Spring Boot;
• Strong understanding of JVM memory management, profiling, and performance tuning;
• Solid unit testing practices and hands-on experience with test frameworks;
• Upper-Intermediate English or higher with strong communication skills;
• Ability to travel abroad (business trips to customer sites such as terminals/ports may be required).
   

Nice to have:

• Experience with React (working level);
• Background in logistics, transportation, ports, or other operationally critical enterprise systems.
   

What we offer:

• Long-term cooperation with a stable, existing Akvelon client;
• Opportunity to work on a globally impactful product in the marine logistics domain;
• Professional growth, strong engineering culture, and collaboration with experienced teams;
• B2B contract, competitive compensation;
• Paid vacation and sick leave;
• Flexible schedule and remote work format (subject to travel needs).

Lead Computer Vision & ML Engineer — Founding Role

About Us

We are a newly funded MilTech startup building an on-premises platform for automated annotation of petabytes of UAV video and training computer vision models for autonomous flight. We have a strategic partnership with the largest Ukrainian UAV manufacturer and access to what is the largest privately owned UAV video dataset in the world. We are at the very beginning — the technical plan exists, the funding is secured, the data is real — and now we need the right people to turn it into reality.

The Role

We are looking for a Lead CV/ML Engineer as a founding member of the engineering team. This is not a role where you inherit a codebase and maintain it. You will define the ML architecture, choose the tools, build the pipeline from scratch, and grow a team around it as the platform matures.

The technical plan outlines the direction — petabyte-scale video processing, active learning, edge deployment on Jetson — but the specific implementation decisions are yours to make. We value strong technical judgement over checkbox experience with a predefined stack.

What You Will Own

ML Architecture & Technical Direction
- Define the end-to-end ML pipeline: from raw video ingestion through data curation, training, and deployment to UAVs
- Evaluate and select the tools and frameworks that best fit the problem (our current thinking: PyTorch, Ray, MLflow, FiftyOne — but nothing is set in stone)
- Establish training infrastructure, experiment tracking, and model versioning from day one
- Make build-vs-integrate decisions across the stack

Data Pipeline & Curation
- Design video preprocessing pipelines: clip segmentation, frame extraction, scene detection, embedding extraction
- Build a data curation workflow to select diverse, high-quality training subsets from a massive raw corpus
- Define the annotation ontology and labelling policy for detection, classification, and multi-object tracking

Model Development
- Train and iterate on computer vision models for object detection, scene classification, tracking, and segmentation
- Implement distributed multi-GPU training for large-scale experiments
- Design the active learning loop: auto-labelling with confidence routing, human review integration, retrain triggers
- Define quality control metrics and model promotion criteria

Edge Deployment
- Optimize models for real-time inference on NVIDIA Jetson (ONNX, TensorRT, INT8 quantization)
- Validate edge accuracy against training baselines
- Design the model delivery pipeline from registry to deployed UAVs

Team Building
- Hire and mentor ML engineers as the team grows
- Establish engineering practices: code review, testing, documentation
- Own the ML technical roadmap and communicate it across the company

What We Are Looking For

Must Have
- 5+ years in computer vision and deep learning, with production deployments
- Strong PyTorch proficiency, including distributed training
- Experience with object detection and tracking pipelines (YOLO family, RT-DETR, Detectron2, or similar)
- Hands-on model optimization for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
- Experience building training infrastructure (pipelines, experiment tracking, CI/CD for ML)
- Proven ability to lead a small engineering team (hiring, mentoring, technical guidance)
- Python as primary language; clean, production-grade code

Strong Plus
- UAV / drone / robotics domain experience
- NVIDIA Jetson deployment experience
- High-performance video processing pipelines (DeepStream or custom)
- MilTech or defense-related work
- Experience defining ML architecture from scratch at an early-stage company
- C++ for performance-critical components

Proposed Tech Stack

This is our starting point, not a mandate. The right candidate will validate, adjust, or replace these choices based on their experience.

- Training: PyTorch, distributed training (DDP/FSDP) 
- Data processing: Ray Data or equivalent scalable framework 
- Data curation: FiftyOne, embedding-based selection 
- Annotation: CVAT with pre-annotation and active learning 
- Experiment tracking: MLflow 
- Edge: ONNX → TensorRT → NVIDIA Jetson 
- Infrastructure: Kubernetes, on-prem GPU cluster 
- Storage: S3-compatible object storage (Ceph) 

What We Offer

- A founding engineering role with direct influence on the technical direction of the company
- Ownership of the full ML pipeline end-to-end — from raw video to models flying on UAVs
- The largest privately owned UAV video dataset in the world — petabyte-scale, impossible to replicate
- Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
- Open-source-first approach with no vendor lock-in
- The opportunity to build and lead an ML team from the ground up
- Competitive salary
- Stock option
 

Lasker.ai is developing an intelligent AI assistant for Amazon sellers — helping them manage products, reduce account risks, and make smarter business decisions.Powered by official data and advanced AI analysis, our assistant delivers clear guidance, personalized recommendations, and visual insights to improve listings, pricing, and overall performance on Amazon.
We’re now looking for an experienced Growth Marketing Manager to boost organic and affiliate paid user acquisitions, which will be a clear sign of traction for investors.
 

💡 What you’ll do

• Build and scale acquisition engine – Develop and implement multi-channel user acquisition strategy across influencer, affiliate, partner, organic (SEO, content, community), and lifecycle channels. Own budget allocation, CAC targets, and channel prioritization.
• Build self-sustaining growth loops – Experiment with and build community, referral, LLMO, and viral mechanisms to fuel organic, compounding growth.
• Develop and scale partner programs – Build affiliate, partner, and co-marketing programs that expand reach and accelerate adoption; manage partner recruitment, enablement, and performance.
• Optimize full-funnel performance – Own activation, conversion, expansion, and retention metrics across customer lifecycle; identify friction points and implement improvements to drive efficient growth.
• Drive retention and reduce churn – Design and execute retention programs targeting at-risk segments; implement win-back campaigns, onboarding optimization, and engagement loops to reduce churn and increase customer lifetime value.
• Lead product launches – Own go-to-market strategy for new features and product launches.
• Own growth analytics and forecasting – Track, analyze, and report on acquisition, activation, retention, and revenue metrics; build cohort analyses; partner with Finance on revenue forecasting and growth modeling.

🧠 What we’re looking for

• 5+ years growth marketing experience in B2B SaaS, preferably $1-2K ACV. 
• Demonstrated success building and scaling at least 3 acquisition channels (influencer, affiliate, partner, SEO, content, paid, community).
• Experience designing lifecycle programs that measurably reduced churn and increased LTV; comfortable with cohort analysis, retention curves.
• Experience driving adoption and expansion in PLG environments through experimentation, product analytics, and user behavior analysis.
• Comfortable with analytics tools (Mixpanel, Amplitude, etc.), cohort analysis, statistical significance, and A/B testing.
• Expert-level understanding of CAC, LTV, payback period, churn impact modeling, and channel-level profitability.

Soft Skills:

• Strategic thinker with execution excellence.
• Taking full accountability for outcomes, not just activities.
• ROI-centric decision making based on impact and efficiency.

⚙️ Nice to have

• Experience in e-commerce, marketplaces, or seller tools.
• Prior experience at early-stage startup (pre-Series B) or hyper-growth phase.
• Experience scaling a marketing function from 0 to 1 or 1 to a team.

✨ Join us at Lasker.ai — and help build automation that thinks.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

Who We Are

PAR Retail, with its Open Commerce® product suite and patent pending Wallet Steering® System, empowers Convenience & Fuel Retailers to gain more share of wallet and customer lifetime value than possible with any other solution provider. PAR Retail’s unified Open Commerce product suite consists of: Activate for Intelligent 1:1 Loyalty, Transact for Contactless Commerce, and Experience for Cross-Channel Customer Experiences. PAR Retail’s solutions are supported by a set of subscription-based program management services and are contractually backed by its 1.5X Performance Guarantee.

Technology Stack:

Ruby, Ruby on Rails, Postgres, Redis, Sidekiq, GraphQl, RabbitMQ

Requirements:

- Practical experience building systems in Ruby on Rails

- At least 6 years industry experience or equivalent

- Experience building and maintaining backend APIs, including design, implementation, evolution, and maintenance

- Familiarity with TypeScript, or similar modern strongly-typed language

- Proficiency using a variety of database technologies, both relational and non-relational

- Strong understanding and familiarity with CI/CD pipelines and automated tests

- An ability to work in service-based architectures as well as well-factored Rails monolith applications

- Highly independent and able to effectively self-organize and prioritize work

- The ability to write clean code, and the discipline to write effective automated tests to deliver high-quality system improvements

- An ability to effectively break down larger bodies of work for delivery as a series of small, self-contained changes to the system

- Excellent spoken and written communication skills

- BS/MS degree in Computer Science, Engineering, or equivalent years of professional working experience

Bonus Points

- Experience with NodeJS and React

- Experience in the retail and/or fuel & convenience industries

- Experience working in distributed teams

- Experience with Nest.js and/or GraphQL

- Readiness to work in the ET (US) time zone

Responsibilities:

- Collaborate closely with other Engineers, design and implement new functionality based on product objectives and requirements.

- Work with the broader product engineering team to plan and coordinate feature and functionality improvements, as well as resolve bugs and execute technical enhancements, that cross-cut large parts of our platform.

- Work to continually learn, improve technology skills, expand knowledge of the our platform technologies, and gain increasing versatility across the breadth of our platform systems.

- Expand APIs and business logic, and as needed write or revise customer-facing API documentation.

- Work with our infrastructure team to enable and enhance highly-available, performant, and well-instrumented backend applications and services that run in our customer environments at substantial scale.

- Support operations and infrastructure teams for issue resolution on relevant applications or services running in production environments.

PAR Retail Offers:

- Long-term employment;

- Competitive compensation with regular performance-based salary and career development reviews;

- Paid vacations and sick leaves;

- Health insurance program;

- Flexible working hours;

- Sponsored company educational program, corporate library;

- Comfortable and cozy office;

- Funny celebrations, team outings, and company events;

- A unique and friendly environment where everyone can explore and learn new technologies.

The Role

We are looking for a highly skilled Senior DevOps Engineer to strengthen our Cloud Platform team. This is a hands-on technical role critical to ensuring our operational excellence, security, and resilience.

You will help build a secure, scalable, and compliant cloud infrastructure that serves as the foundation for all our product teams. This role requires deep hands-on experience with AWS, Kubernetes, and Infrastructure-as-Code.

Crucially, you will be responsible for navigating the strict regulatory landscape of a financial institution. You must have successfully navigated environments requiring ISO 27001, PCI DSS, and DORA compliance. You will work closely with the Cloud Platform Manager and security teams to implement the controls and processes necessary to keep our platform secure and compliant.

While this is a remote-first role, you should be based in a CET-adjacent timezone to collaborate effectively with colleagues.

What You'll Do

• Build Cloud Infrastructure: Design, implement, and maintain our AWS-based infrastructure (EKS, EC2, RDS, IAM, VPC, KMS, networking).
• Infrastructure as Code (IaC): Develop and manage our infrastructure using Terraform/Terragrunt, Helm, and Kubernetes manifests.
• CI/CD & GitOps: Build and optimize CI/CD pipelines (GitHub Actions/GitLab CI) and operate GitOps workflows using ArgoCD or Flux.
• Compliance Implementation: Implement and maintain the specific technical controls and processes required for ISO 27001, PCI DSS, and DORA.
• Security Operations: Apply best practices for cloud security, encryption, access control (IAM, RBAC, Zero Trust), and support incident response.
• Observability: Configure and maintain our observability stack using Prometheus, Grafana, Loki, Alloy, and OpenTelemetry.
• Documentation: Create clear technical documentation, standards, and security policies to support audits and internal knowledge sharing.

• Disaster Recovery: Support Disaster Recovery (DR) and Business Continuity planning and testing.

   

What We're Looking For

• Experience: 5+ years of professional DevOps experience, with a proven track record of building secure cloud environments.
• Compliance Expert: Mandatory hands-on experience implementing and passing audits for ISO 27001, PCI DSS, and DORA. You must understand the technical reality of these frameworks.
• AWS Mastery: Deep experience with AWS services, particularly EKS, networking, and security.
• Certification: AWS Certified Solutions Architect – Associate (Mandatory).
• Container Orchestration: Expert-level knowledge of Kubernetes (EKS), including autoscaling, IRSA, network policies, and cluster security.
• IaC Expertise: Strong proficiency with Terraform / Terragrunt and GitOps methodologies.
• Observability: Experience with monitoring, logging, and distributed tracing tools (Prometheus, Grafana, Loki).
• Security Mindset: Solid understanding of networking (TLS, VPN, WAF) and identity management (IAM, RBAC).

• Soft Skills: Strong ownership mentality, proactive problem-solving, and the ability to communicate effectively with auditors and stakeholders.

   

Bonus Points

• Certifications: AWS Security Specialty, AWS DevOps Engineer (Professional), or CKA/CKAD (Kubernetes).
• Familiarity with MiCA (Markets in Crypto-Assets) regulations.
• Experience with Vault, AWS Secrets Manager, or SSM Parameter Store.
• Experience building AWS Landing Zone / Control Tower architectures.

• Background in FinTech, RegTech, or enterprise banking environments.

   

What We Offer

• Foundational Role: A key role in building the compliant infrastructure backbone for a major European crypto platform.
• High Standards: The opportunity to work in a high-compliance, high-security environment that values technical excellence.
• Clear Ambition: The chance to join a company with a clear goal of becoming the #1 crypto platform in the EU.
• Greenfield Culture, Brownfield Code: A rare chance to join a new company culture with no baggage, while solving the interesting technical challenges of a mature product.
• Flexibility & Connection: A 100% remote-first role with periodic, all-expenses-paid team gatherings and a new hub in Ticino, Switzerland.
• Compensation: A competitive salary and benefits package.

We are looking for a System Analyst with experience in telecom and IT projects to join a project for a telecom operator. You will be responsible for analyzing business needs, designing system architectures, and working closely with cross-functional teams to deliver effective solutions.

Key Responsibilities:

• Study and analyze the architecture and interaction of existing telecom, IT, and BSS systems
• Analyze business needs of internal/external clients, consider possible limitations, and design solution architecture
• Provide expert evaluation of project documentation (briefs, concepts, etc.)
• Align requirements between internal/external stakeholders and other involved parties
• Analyze complex business processes and model them using UML or BPMN

• Design system architecture and define detailed system requirements

   

Qualifications:

• Higher education, preferably in Information Technology, Computer Science, or Applied Mathematics
• Experience in telecom domain
• Experience working with systems such as Billing, CRM, DWH, and others
• At least 3 years of experience as a System Analyst in IT projects
• Knowledge of telecommunications networks (GSM, GPRS, EDGE, CDMA, etc.) and TCP/IP, Ethernet, IP infrastructure is a plus
• Understanding of REST architecture and basics of DBMS
• Experience with Jira, Confluence, and Enterprise Architect
• Strong analytical thinking, ability to gather, formalize, and document business requirements within a project/task
• Ability to adapt quickly to changing requirements and technologies
• Project management skills: project planning, RACI matrices, conducting meetings, documenting meeting notes
• Ability to effectively collaborate with different company departments (emails, meetings, tasks) and take responsibility for delivering results

• Strong communication and stakeholder management skills

   

Would be a plus:

• Experience with MS Project
• Experience with large-scale projects and working with multiple enterprise-level systems

Job Description

Required Experience

Readiness to work till 8PM Kyiv time

• BS degree in Computer Science field or equivalent hands-on experience
• 5+ years of hands-on experience with C#/.NET
• Experience with containerized microservices and serverless architectures.
• Experience with distributed systems and related concepts
• Experience with SQL and NoSQL datastores including but not limited to MSSQL, Postgres, Mongo, MySQL, and Elasticsearch
• Experience with .NET WCF Services, ASP.NET
• Hand-on experience with cloud providers such as AWS
• Experience with Front End Development using ReactJS is a plus
• Focused, dependable, detail-oriented and hands-on – completes tasks quickly and thoroughly

Job Responsibilities

Position Overview

• Design, develop, and maintain software applications using .NET Core and C#
• Collaborate with cross-functional teams to gather requirements, understand business needs, and translate them into technical solutions
• Implement and integrate with relational and NoSQL databases such as PostgreSQL and Mongo
• Leverage AWS primitives like S3, RDS, SQS, Elasticache, etc - to build scalable and reliable applications
• Containerize applications using Docker for consistent deployment across environments
• Write clean, maintainable, and well-documented code following best practices and coding standards
• Participate in code reviews and ensure adherence to quality standards
• Troubleshoot and resolve technical issues, bugs, and performance bottlenecks
• Stay up to date with the latest trends, technologies, and industry best practices

Department/Project Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world's most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Our family-style company is looking for a Senior DevOps Engineer to build a new greenfield cloud platform from the ground up. You’ll design, implement, and operate a production-grade environment that supports multiple teams and environments across the full delivery lifecycle. This role is about ownership, autonomy, and building a reliable foundation with long-term impact.

About the Role
Our client, based in Munich, Germany, is looking for an experienced Senior DevOps Engineer to lead the architecture and implementation of a robust Azure Kubernetes (AKS) platform supporting multiple environments across the full software delivery lifecycle.

This is a hands-on individual contributor role with high autonomy and direct impact. You will take responsibility for building and evolving the platform using Infrastructure as Code, establishing GitOps-driven workflows, and embedding security best practices into every layer of the system. Success in this role means delivering a resilient, production-grade platform that balances speed, reliability, and long-term maintainability.

What you’ll do:

• Design and implement a multi-environment AKS platform on Azure with supporting infrastructure using Terraform
• Define and enforce infrastructure patterns, module structure, and deployment pipelines
• Set up and operate GitOps-based delivery workflows (Argo CD)
• Integrate observability tooling (Datadog) for metrics, logs, and traces
• Implement security best practices: RBAC, network policies, secrets management, supply chain security
• Manage Kubernetes cluster operations: upgrades, scaling, troubleshooting, hardening
• Collaborate with development teams to enable self-service platform capabilities.

What We’re Looking For (Must Have):

• 5+ years of professional experience in DevOps, Platform Engineering, or SRE roles
• Strong hands-on experience with Terraform (module design, state management, CI/CD for infrastructure)
• Production experience operating Kubernetes (AKS preferred; EKS/GKE acceptable if Azure fundamentals are solid)
• Solid understanding of Azure cloud services (networking, identity, compute, storage)
• Experience with GitOps tooling (Argo CD or Flux)
• Strong knowledge of Kubernetes networking, RBAC, and security hardening
• Experience with observability stacks (Datadog, Prometheus/Grafana, or similar)
• Familiarity with CI/CD pipelines and deployment automation
• Comfortable working with Git as the single source of truth for infrastructure and configuration.

Nice to have:

• Experience with Terragrunt, Spacelift, or similar Terraform workflow tooling
• Familiarity with Azure Entra ID (formerly Azure AD) and its Kubernetes integration
• Experience with service mesh technologies (Istio, Linkerd, Cilium)
• Knowledge of policy-as-code frameworks (OPA/Gatekeeper, Kyverno)
• Experience with container image security (including signing, scanning, and admission control) is important. A background in internal developer platforms and familiarity with SOC 2 or ISO 27001 in cloud-native environments would be a strong plus.

What We Are Looking For in a Candidate
Beyond technical skills, we value:

• Architectural thinking - ability to make and justify design decisions with trade-offs in mind
• Security-first mindset - defaults to secure; thinks about attack surfaces and least privilege naturally
• Pragmatism - builds what's needed, avoids over-engineering, focuses on maintainability
• Clear communication - can explain complex infrastructure concepts to both technical and non-technical stakeholders
• Ownership - takes responsibility for the platform end-to-end, from design through operations.

Our hiring process includes the following steps:

1. An initial introduction call with our recruiter team
2. A practical test task (take-home, ~4 hours) - candidates design a conceptual AKS platform architecture. No working code required; focus is on approach and thought process
3. An interview with our C-level team
4. A final technical interview with our client (~60-90 min) - discussion of the design task, deep-dive into past experience, and scenario-based questions
5. Job offer.

What we offer:

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Remote work, full time
• Becoming not just another team member, but a part of UKAD with unique value and long-term relationships.

Some facts about UKAD to help you make a decision:
During 2022-2025, we only increased cooperation with our foreign partners
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

• Project Description:

  The SEM product is embedded within the Geosciences Suite of Applications. This application has multiple views consisting of both 2D and 3D visualizations. The current data visualization is not sufficient for what we would like it to be. This role is expected to work with the lead and the product owner to understand the current shortcomings, investigate and research potential solutions, propose these solutions to the teams, and then work on the implementation of the agreed upon work. To get to this stage, the developers will also need to learn the inner workings of the visualization framework within Geoscience.
   

• Responsibilities:

  • Design, develop, and maintain graphics-intensive modules within the Geoscience platform using Java and OpenGL.
  • Implement advanced 2D and 3D visualization features for seismic, geological, and geospatial data.
  • Optimize rendering performance and ensure cross-platform compatibility, particularly in Linux environments.
  • Collaborate with geoscientists and software engineers to translate domain-specific requirements into technical solutions.
  • Participate in code reviews, testing, and documentation to maintain high-quality software standards.
  • Stay updated with the latest developments in graphics technologies and geoscience applications.
   

• Mandatory Skills Description:

  • Bachelor's or Master's degree in Computer Science, Geoscience, or a related field.
  • 5+ years of professional experience in C++ development with a focus on graphics programming.
  • Proficiency in OpenGL and related graphics libraries for rendering complex datasets.
  • Strong experience working in Linux environments, including shell scripting and system optimization.
  • Excellent problem-solving skills and the ability to work collaboratively in a multidisciplinary team.
   

• Nice-to-Have Skills Description:

  • Experience with geoscience software platforms.
  • Familiarity with geoscience data formats and visualization techniques.
  • Knowledge of additional programming languages such as Python, Java.
  • Understanding of GIS technologies and spatial data analysis.
  • Experience with agile development methodologies and version control systems like Git