Uvik Software

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

We're looking for an SEO professional who enjoys solving complex SEO challenges at scale.

This is not a traditional Link Building or Outreach role. We're looking for someone who thinks in systems, builds scalable processes, and leverages automation to drive long-term organic growth rather than relying solely on manual outreach.

You'll work on growing the authority and visibility of a large portfolio of international websites, where the challenge isn't optimizing a single project—it's designing repeatable SEO processes that deliver results across hundreds of domains.

What You'll Do

• Develop and execute scalable off-page SEO strategies across a portfolio of international websites.
• Design, improve, and optimize scalable link acquisition processes instead of relying solely on traditional outreach.
• Research, test, and implement new approaches to accelerate organic growth.
• Analyze competitors and identify scalable SEO growth opportunities.
• Evaluate backlink quality using key SEO metrics such as Domain Rating (DR), referring domains, topical relevance, organic traffic, indexing status, and spam signals.
• Monitor backlink health, anchor profile, lost links, and overall backlink performance.
• Leverage AI tools to improve research, prospecting, competitor analysis, reporting, and overall workflow efficiency.
• Identify repetitive SEO tasks and automate them whenever possible.
• Collaborate closely with SEO, Content, and Product teams to improve search visibility and organic performance.

• Stay up to date with Google Search, AI Search, Bing, and emerging SEO trends to continuously improve our strategies.

   

What We're Looking For

• 3+ years of experience in SEO, Off-page SEO, Affiliate SEO, Link Building, or a related field.
• Experience working with international websites in competitive markets.
• Proven experience designing scalable SEO or link acquisition strategies.
• Strong hands-on experience with Ahrefs, Semrush, Google Search Console, Google Analytics 4, and Google Sheets.
• Solid understanding of modern search ranking factors and backlink quality assessment.
• Strong analytical mindset with the ability to identify scalable growth opportunities.
• Regular use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) as part of everyday SEO workflows.
• Experience automating repetitive SEO tasks or building scalable workflows.
• A systems-thinking mindset with the ability to design processes rather than simply execute tasks.
• Upper-Intermediate (B2) English is prefered

Nice to Have

• Experience with automation tools such as Make, Zapier, n8n, Google Apps Script, or similar platforms.
• Basic scripting skills in Python, JavaScript, or SQL for SEO automation.
• Experience managing SEO across large website portfolios.
• Experience in Affiliate SEO or highly competitive industries such as Gambling, Betting, Casino, Crypto, Nutra, Lead Generation, or similar.
• Experience using Screaming Frog or other SEO crawling tools.
• Hands-on experience applying AI to SEO research, competitor analysis, and workflow automation.
• Familiarity with Bing SEO and AI-driven search engines.
• Experience building internal SEO tools, dashboards, or automated reporting systems.

• Why You'll Love This Role

   

This is an opportunity to work on SEO at scale.

Rather than focusing on individual campaigns, you'll help design systems, experiment with new approaches, automate workflows, and build repeatable SEO processes that support long-term organic growth across a large portfolio of international projects.

If you're excited by solving complex SEO challenges, testing new ideas, leveraging AI to work smarter, and shaping the future of scalable SEO, we'd love to hear from you.

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We're looking for an SEO professional who enjoys solving complex SEO challenges at scale.

This is not a traditional Link Building or Outreach role. We're looking for someone who thinks in systems, builds scalable processes, and leverages automation to drive long-term organic growth rather than relying solely on manual outreach.

You'll work on growing the authority and visibility of a large portfolio of international websites, where the challenge isn't optimizing a single project—it's designing repeatable SEO processes that deliver results across hundreds of domains.

What You'll Do

• Develop and execute scalable off-page SEO strategies across a portfolio of international websites.
• Design, improve, and optimize scalable link acquisition processes instead of relying solely on traditional outreach.
• Research, test, and implement new approaches to accelerate organic growth.
• Analyze competitors and identify scalable SEO growth opportunities.
• Evaluate backlink quality using key SEO metrics such as Domain Rating (DR), referring domains, topical relevance, organic traffic, indexing status, and spam signals.
• Monitor backlink health, anchor profile, lost links, and overall backlink performance.
• Leverage AI tools to improve research, prospecting, competitor analysis, reporting, and overall workflow efficiency.
• Identify repetitive SEO tasks and automate them whenever possible.
• Collaborate closely with SEO, Content, and Product teams to improve search visibility and organic performance.

• Stay up to date with Google Search, AI Search, Bing, and emerging SEO trends to continuously improve our strategies.

   

What We're Looking For

• 3+ years of experience in SEO, Off-page SEO, Affiliate SEO, Link Building, or a related field.
• Experience working with international websites in competitive markets.
• Proven experience designing scalable SEO or link acquisition strategies.
• Strong hands-on experience with Ahrefs, Semrush, Google Search Console, Google Analytics 4, and Google Sheets.
• Solid understanding of modern search ranking factors and backlink quality assessment.
• Strong analytical mindset with the ability to identify scalable growth opportunities.
• Regular use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) as part of everyday SEO workflows.
• Experience automating repetitive SEO tasks or building scalable workflows.
• A systems-thinking mindset with the ability to design processes rather than simply execute tasks.
• Upper-Intermediate (B2) English is prefered

Nice to Have

• Experience with automation tools such as Make, Zapier, n8n, Google Apps Script, or similar platforms.
• Basic scripting skills in Python, JavaScript, or SQL for SEO automation.
• Experience managing SEO across large website portfolios.
• Experience in Affiliate SEO or highly competitive industries such as Gambling, Betting, Casino, Crypto, Nutra, Lead Generation, or similar.
• Experience using Screaming Frog or other SEO crawling tools.
• Hands-on experience applying AI to SEO research, competitor analysis, and workflow automation.
• Familiarity with Bing SEO and AI-driven search engines.
• Experience building internal SEO tools, dashboards, or automated reporting systems.

• Why You'll Love This Role

   

This is an opportunity to work on SEO at scale.

Rather than focusing on individual campaigns, you'll help design systems, experiment with new approaches, automate workflows, and build repeatable SEO processes that support long-term organic growth across a large portfolio of international projects.

If you're excited by solving complex SEO challenges, testing new ideas, leveraging AI to work smarter, and shaping the future of scalable SEO, we'd love to hear from you.

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

🚀We are looking for a Senior Kubernetes Platform Engineer to join a high-priority project with an ASAP start.

As a Senior Kubernetes Platform Engineer, you will be responsible for designing, building, and operating production-grade Kubernetes platforms that support business-critical applications. You'll work in a small, highly skilled engineering team alongside a Platform Architect, Technical Project Manager, and DevOps Engineers, contributing both to day-to-day platform operations and long-term architectural decisions.

Location

• Remote.
• Preferebly based in Germany But also open to candidates located anywhere within the European Union.

Contract

• Full-time.
• 2-month contract.

• Immediate availability is highly preferred.

   

🎯 Responsibilities

• Build, maintain, and improve enterprise Kubernetes platforms in production environments.
• Manage Kubernetes clusters, ensuring high availability, scalability, and reliability.
• Design and automate infrastructure using Infrastructure as Code practices.
• Develop and maintain CI/CD pipelines and GitOps workflows.
• Implement secure, scalable, and resilient platform solutions.
• Monitor platform health, performance, and observability using industry-standard tools.
• Participate in platform architecture discussions and technical decision-making.
• Produce high-quality technical documentation, runbooks, and operational guidelines.
• Collaborate effectively with cross-functional and international teams.

🧩 Required Skills & Experience

• Several years of experience in DevOps, Platform Engineering, or Infrastructure Engineering.
• At least 5 year of daily hands-on production experience with Kubernetes, including:
  • Cluster lifecycle management
  • Ingress Controllers
  • Service Mesh
  • cert-manager
• Strong experience with:
  • Terraform
  • Helm (or Kustomize)
  • CI/CD pipelines
  • GitOps, preferably ArgoCD
• Proficiency in Go, Python, or Bash for automation and platform tooling.
• Solid experience with:
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Designing and implementing SLI/SLO frameworks
• Strong understanding of platform security best practices and compliance requirements.
• Experience working in cross-functional, multinational engineering teams.
• Strong written and spoken English (B2+/Upper-Intermediate or higher).

🧩Nice to Have

• Kubernetes certifications (CKA, CKAD, or CKS).
• Experience with AWS, Azure, or GCP.
• OpenShift or OKD.
• Multi-cluster Kubernetes environments.
• Ansible.
• Kubernetes Operators.
• Operator SDK or Kubebuilder.
• Longhorn or other Kubernetes-native storage solutions.
• OVN-Kubernetes networking.
• Experience writing ADRs, runbooks, and platform design documentation.

We're looking for a senior-level engineer with deep expertise in Kubernetes platform engineering and production infrastructure. The ideal candidate is comfortable taking ownership of complex platform challenges, contributing to architecture decisions, driving automation initiatives, and collaborating effectively within international teams.

Interview Process

1. HR Interview
2. Technical Interview
3. Final Interview (including a practical use case/task)

🚀 We’re on the hunt for a talented AI/ML Engineer to design, implement, and optimize cutting-edge AI/ML solutions. If you thrive on solving complex problems and creating production-ready models, we’d love to hear from you!

🎯 What You’ll Do:

• Develop and fine-tune AI/ML models for performance and scalability.
• Enhance production models, debug issues, and ensure reliability.
• Work with cross-functional teams to shape future AI/ML innovations.
• Explore emerging AI/ML technologies and recommend tools/frameworks.
• Build robust pipelines using Python, SQL, Docker, and more.

🧩 What We’re Looking For:

• Strong experience in AI/ML, data science, or data engineering.
• Expertise in Python, TensorFlow, Keras, Scikit-learn, and Generative AI.
• Familiarity with Docker, Streamlit, and data tools like Pandas and SQL.
• Strong communication skills and the ability to work independently.
• English: Upper-intermediate or higher.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

Ready to shape the future of AI/ML with us? 🚀 Apply now and be part of something extraordinary!

🚀We are looking for an experienced Data Scientist for a full-time job to join our team.


🎯 Requirements:
-2+ years of experience as a data scientist
-BSc in Mathematics, Statistics, Computer Science, Economics, or another related field.
-Experience in using Python & SQL
-Experience with Airflow and GCP
-Experience with Git & CI/CD
-Upper Intermediate English — written and spoken
-Ability to design creative solutions for complex requirements
-Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)

🧩 Responsibilities:
-Conduct independent research, including defining research problems, creating research plans, designing experiments, developing algorithms, implementing code, and performing comprehensive comparisons against existing benchmarks;
-Clearly communicate your research findings to both technical and non-technical audiences
-Work on various data sources and apply sophisticated feature engineering capabilities
-Bring and use business knowledge
-Build and manage technical relationships with customers and partners.

🎯 We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

🚀We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.

The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, cloud data services, and modern ETL/ELT pipelines. Experience with AWS is highly important, while Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform are strong advantages.

🧩Responsibilities:

• Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
• Work with cloud-based data platforms and services, especially AWS.
• Build and support data lakes, lakehouse architectures, and data warehouses.
• Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
• Optimize data processing performance, query execution, partitioning, and storage costs.
• Ensure data quality, reliability, monitoring, logging, and validation across pipelines.
• Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders.
• Support documentation, data modeling, and data dictionary creation where needed.
• Contribute to CI/CD, infrastructure automation, and cloud data platform improvements.

🔑Requirements:

• 3-5 years of experience in Data Engineering or closely related roles.
• Strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience building and maintaining production-grade ETL/ELT pipelines.
• Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
• Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar.
• Experience with at least one modern data platform: Databricks, Snowflake, BigQuery, Redshift, or similar.
• Understanding of data quality, monitoring, observability, and performance optimization.
• Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools.
• Ability to work independently, communicate clearly, and take ownership of delivery.

• English level: Upper-Intermediate or higher.

   

🧩Nice to Have:

• Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
• Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
• Experience with Kubernetes.
• Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
• Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
• Exposure to AI/ML or LLM-related data workflows.
• Experience with GCP or Azure data services.

🎯We Offer: 

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

Uvik Software

Опис

🚀Join a team where data drives impact

At Uvik Software, we build world-class dedicated development teams and deliver high-quality software solutions to clients worldwide.

We’re passionate about clean code, strong collaboration, and modern technologies. Now, we’re looking for a Data Analyst who thrives on transforming data into strategic insights and has a solid background with Snowflake.


🎯About the Role

As a Data Analyst, you will play a key role in unlocking the value of data for our clients. You’ll work with modern cloud data infrastructures, focusing on Snowflake, to support high-impact analytics projects.


🔑Responsibilities

Analyze large-scale datasets using SQL, delivering clear, actionable insights
Perform advanced querying, profiling, and data transformation directly in Snowflake
Design and maintain ETL pipelines for efficient data preparation
Build interactive dashboards and reports using Power BI or Tableau
Access and manage cloud data via AWS services (e.g., S3, Glue, Redshift)
🧩Requirements

5+ years of experience as a Data Analyst working with large datasets
2+ years of hands-on experience with Snowflake (querying, modeling, optimization)
Strong SQL skills for complex querying and transformations
Proficiency with data visualization tools: Power BI and/or Tableau
Solid understanding of ETL processes, data modeling, and data warehousing
Experience with AWS data tools (S3, Glue, Redshift)
Strong English communication skills (verbal and written)

🌍 What We Offer:

We provide an environment where each specialist can grow professionally and work on exciting, high-impact projects.

1) Paid vacation and sick leave 
2)We provide the equipment you need to work comfortably (if required) 
3)We cover 50% of courses if you want to grow professionally 4)Regular salary reviews based on your performance 
5) Competitive salary, depending on your experience 
6) Always on-time payments — no delays 
7)A normal, supportive team without unnecessary bureaucracy

🚀 Apply now and be part of a tech-driven, globally distributed team!

We are expanding our Business Analysis team and are looking for a Business Analyst with  eCommerce expertise who wants to move beyond execution and operate closer to business, architecture, and delivery decisions.
 

🔑 What You Will Do:

• Lead discovery from initial client conversations to solution direction
• Translate business needs into scalable commerce solutions together with architects and delivery teams
• Identify opportunities to improve platforms, integrations, and customer journeys
• Support pre-sales through discovery workshops, scoping, and solution alignment
• Partner with Sales, Delivery, and Account teams to connect business value with execution
• Mentor Business Analysts and help evolve BA standards and practices
• Act as a trusted advisor helping clients make confident product and technology decisions

🧩 What We Expect:

• 3+ years of experience in Business Analysis, Product Discovery, or IT consulting
• Strong background in eCommerce and digital platforms
• Deep understanding of Shopify and/or Magento architectures and ecosystems
• Experience with integrations (ERP, PIM, CRM, payments, fulfillment systems)
• Understanding of performance optimization, data flows, and headless/composable approaches
• Experience supporting or participating in pre-sales engagements
• Ability to run discovery interviews and workshops with stakeholders
• Skill in structuring ambiguous inputs into clear roadmaps and solution directions
• Ability to explain technical decisions in terms of business value
• Experience in service-based environments where delivery and client impact both matter
• Advanced English (spoken and written)

🚀Technical Support Engineer (night shifts) full time position

We’re looking for a Technical Support Engineer to join our remote team and ensure smooth operation of our applications during week days .

Schedule: Monday–Friday:

00:00–08:00 (GMT+3)

Location: Remote

🎯What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

🧩What we’re looking for: 

• Сonversational English level: at least Upper-Intermediate, and if it's higher, that's even better.
• 6+ months experience with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (e.g., Python, Django, Databases, AWS)
  • Strong technical fundamentals (data types, HTTP, REST, git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, or internships) — GitHub links welcome
• Good knowledge of PostgreSQL (or another relational DB)
• Familiarity with AWS (EC2, S3) — basics are fine
• Solid analytical & debugging skills
• Basic understanding of REST APIs and front-end (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and as part of a team

Nice to have

• Experience with Docker/Kubernetes and CI/CD pipelines
• Knowledge of web app security principles
• Background in Agile/Scrum environments

🎯We Offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays

• A normal, supportive team without unnecessary bureaucracy

   

If you like staying ahead of problems and owning the night shift, we’d love to hear from you.