Jobs Data Engineer

We are looking for an experienced Data Engineer to design and maintain robust data infrastructure across our systems. In this role, you will be responsible for building scalable data pipelines, ensuring data integrity, and integrating third-party data sources. Your primary focus will be to enable efficient data flow and support analytical capabilities across the organization. You will also contribute to the development of our data architecture, implement best engineering practices, and collaborate closely with cross-functional teams to turn raw data into actionable insights.

Requirements

• 3+ years of commercial experience in Data Engineering
• Experience gathering business requirements and communicating with stakeholders
• Strong knowledge of Data Warehouse (DWH) architecture and principles
• Hands-on experience designing data warehouses and building ETL pipelines
• Deep practical experience with Python
• Hands-on experience in one or more of the following areas: data processing using PySpark, Apache Spark, Pandas, or similar frameworks; data scraping; integration of third-party data sources and APIs
• Proficiency in SQL and relational databases such as PostgreSQL and MySQL
• Hands-on experience with column-oriented databases such ClickHouse, Snowflake, Cassandra, BigQuery (many tables with millions of records and above each)
• Solid understanding of software design patterns, algorithms, and data structures
• Intermediate English proficiency

Will be a plus

• Experience with messaging platforms such as RabbitMQ or Kafka
• Familiarity with DataOps practices and data pipeline automation
• Familiarity with CI/CD pipelines and Kubernetes environments
• Background in FinTech or Trading domains

Responsibilities

• Communicate with technical and non-technical stakeholders to gather and clarify business requirements
• Review and analyze data and business logic to ensure consistency, accuracy, and reliability
• Design, implement, and maintain data pipelines for efficient and scalable data processing
• Integrate, maintain, and support data solutions and third-party data sources
• Research and evaluate third-party tools, services, and components for potential use
• Follow engineering best practices, including code reviews, testing, refactoring, and continuous delivery
• Design, optimize, and maintain data storage solutions

What we offer:

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Join Sigma Software to build large-scale data infrastructure powering a real-time AdTech platform processing hundreds of millions of auction requests daily. We are looking for a Senior Data Engineer who enjoys solving complex distributed data challenges and building production-grade ML-oriented data systems.

You will become part of a dedicated Sigma Software team developing predictive modeling and optimization capabilities for a live advertising ecosystem. The role combines large-scale event processing, streaming and batch pipelines, experimentation infrastructure, and high-throughput data engineering in a cloud-native environment.

We as a company offer the opportunity to work on impactful global products, collaborate with experienced engineers, and contribute to architecture decisions while growing your expertise in large-scale distributed systems and modern data platforms.

Customer

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a large-scale ad exchange handling hundreds of millions of auction requests per day and is actively investing in predictive decisioning technologies to optimize advertising outcomes in real time.

Project

The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform performs real-time supply scoring and filtering, contextual performance estimation, look-alike audience generation, and multi-objective optimization under business constraints.

The solution processes massive-scale event and auction datasets and includes feature engineering pipelines, streaming and batch ingestion, experimentation infrastructure, point-in-time-correct training data generation, and ML-oriented data services with strict operational reliability and compliance requirements.

Requirements

• 5+ years of experience in Data Engineering
• At least 2 years of experience working with production ML or large-scale analytics pipelines
• Expert-level SQL skills including window functions and incremental processing patterns
• Strong Python skills for production-grade pipeline development
• Hands-on experience with Spark or PySpark
• Experience designing ETL / ELT pipelines with Airflow, Cloud Composer, Dagster, or similar tools
• Experience working with cloud data warehouses at scale, preferably BigQuery
• Strong understanding of data modeling and point-in-time correctness
• Experience working with event-driven or clickstream datasets at very large scale
• Experience supporting business-critical production pipelines

• Upper-Intermediate English level or higher

   

WILL BE A PLUS

• Experience with GCP services including Dataflow, Pub/Sub, GCS, and Beam
• Experience building streaming or near-real-time ingestion systems
• Understanding of feature stores, train/serve skew, and label leakage prevention
• Experience in AdTech or auction-based environments
• Experience handling delayed or incomplete labels in ML systems
• Experience with dbt or similar transformation frameworks
• Experience delivering solutions into Customer-owned infrastructure
• Knowledge of GDPR/CCPA-related privacy engineering practices
• Experience with experimentation infrastructure and statistical validation pipelines
• Experience working in hybrid cloud/on-prem Linux environments
• Terraform and Kubernetes experience

• Experience optimizing warehouse cost and performance

   

Personal Profile

• Strong analytical and problem-solving skills
• Ownership-oriented mindset
• Ability to work independently in a client-facing environment
• Strong communication and documentation skills
• Comfortable working in a fast-paced engineering environment
• Collaborative and proactive attitude

Responsibilities

• Write and defend diagnostic SQL queries against large-scale production datasets
• Build and maintain ingestion pipelines for bid, win, and impression logs into BigQuery
• Harmonize fields across independently designed datasets and maintain versioned field mappings
• Develop point-in-time-correct feature tables and aggregation pipelines
• Design and maintain conversion and labeling pipelines with delayed label handling
• Own the data serving write path, schema contracts, publishing flows, and freshness SLOs
• Build experimentation infrastructure including traffic splitting and reporting pipelines
• Perform large-scale historical backfills and safe reprocessing after mapping changes
• Implement data isolation and safe-aggregation controls for advertiser data protection
• Develop automated data quality validation frameworks
• Collaborate closely with Customer engineers and prepare operational documentation
• Contribute to architecture discussions and platform scalability improvements

We are looking for an experienced DevOps Engineer to take ownership of production infrastructure, cloud environments, Kubernetes platforms, and infrastructure automation. This is a hands-on role for someone who enjoys solving complex infrastructure challenges and is comfortable being responsible for systems in production.

Key Responsibilities

• Own and operate production infrastructure, including participating in an on-call rotation and responding to production incidents.
• Design, operate, and continuously improve Kubernetes clusters in production.
• Manage and automate infrastructure using Infrastructure as Code, primarily with Terraform.
• Build, maintain, and optimise cloud infrastructure across AWS, GCP, or Azure.
• Work extensively with Linux, including system administration, networking, troubleshooting, and system-level configuration.
• Manage production deployment and GitOps workflows using ArgoCD.
• Improve infrastructure reliability, scalability, security, monitoring, and operational efficiency.
• Troubleshoot complex production issues and drive problems through to resolution.
• Develop automation and processes that reduce manual operational work.

Essential Requirements

• 4+ years of hands-on experience operating production infrastructure, with personal ownership and responsibility for live systems, including on-call experience.
• Deep, hands-on Kubernetes experience — you must have operated and managed Kubernetes clusters, rather than simply deploying applications onto clusters managed by another team.
• Strong experience with Infrastructure as Code, with Terraform strongly preferred. Experience with Pulumi or CloudFormation is also considered.
• Strong experience with at least one major cloud platform, ideally AWS. Strong GCP or Azure experience is also welcome, provided you are willing to work with AWS.
• Strong Linux skills and confidence working from the command line, including networking, troubleshooting, system configuration, and performance issues.
• Production experience with ArgoCD and GitOps-based deployment workflows.
• Strong troubleshooting and problem-solving skills, with the ability to take ownership of production incidents and infrastructure issues.

Nice to Have

Experience with email infrastructure would be a strong advantage, particularly:

• Mailcow
• IMAP / SMTP
• Postfix
• Dovecot
• General mail server administration and maintenance

What We're Looking For

We're looking for someone who is genuinely hands-on and operationally experienced. You should be comfortable owning infrastructure end to end, investigating issues directly on production systems, and making decisions that improve reliability and scalability.

If you've built and operated Kubernetes and cloud infrastructure yourself, enjoy automation, and are comfortable getting deep into Linux and production troubleshooting, we'd love to hear from you.

What is the purpose of this position?
We are looking for a Senior Data Engineer with strong hands-on experience in the Azure ecosystem to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with other engineers to ensure reliable, high-quality data flows across the organization. Potential clients make many requests, so we want to bring a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:
Design, build, and maintain scalable, reliable ETL/ELT data pipelines for batch and streaming data.

• Architect and optimize data storage solutions (data lakes, data warehouses) on Azure.
• Develop and maintain data models, schemas, and transformation logic to support analytics and reporting.
• Ensure data quality, consistency, and integrity across pipelines through validation, monitoring, and alerting.
• Optimize pipeline performance and troubleshoot bottlenecks in large-scale data processing.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Collaborate with data scientists, analysts, and backend engineers to understand data requirements and deliver solutions.
• Define and enforce best practices for data governance, security, and access control.
• Mentor junior data engineers and contribute to technical decision-making and architecture reviews.
• Document data architecture, pipelines, and processes for internal knowledge sharing.
   

Requirements:

• Strong hands-on experience as a Data Engineer, including senior-level or lead responsibilities.
• Strong practical experience with the Azure data ecosystem (e.g. Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Strong programming experience in Python (or Scala/Java) for data processing and pipeline development.
• Experience designing and building ETL/ELT pipelines for both batch and streaming data (e.g. Spark, Kafka, Azure Event Hubs).
• Solid understanding of data modeling, data warehousing concepts, and dimensional design.
• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform, ARM/Bicep templates, Azure DevOps, GitHub Actions).
• Experience with data quality, testing, and monitoring practices for data pipelines.
• Strong analytical and problem-solving skills, with the ability to work independently on ambiguous or complex data challenges.
• Strong communication skills, with the ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders.
   

Nice to Have:

• Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect).
• Experience with orchestration tools (e.g. Apache Airflow, Azure Data Factory pipelines).
• Experience with data governance and cataloging tools (e.g. Microsoft Purview).
• Familiarity with BI/reporting tools (e.g. Power BI).

• Experience working in a regulated or high-compliance data environment.
   

  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

We are looking for a Senior BI Engineer (Looker/LookML) to join our team!

Our client is a US-based company specializing in supporting the HR needs of the US public sector by automating and enhancing HR lifecycle management. With 20+ years of industry experience, they provide solutions for public sector organizations ranging from 100 to 60,000 employees. The project focuses on migrating and enhancing the client reporting infrastructure to the cloud.

Responsibilities:

• Enhance and optimize existing BI reports in Looker, covering solutions of varying complexity.
• Design, build, and maintain robust BI dashboards and reports in Looker based on business requirements.
• Work with existing LookML models, explores, and dashboards to deliver reporting enhancements and new analytical solutions.
• Collaborate closely with the client’s BI and engineering teams to understand existing data structures and ensure consistency across reporting solutions.
• Engage in regular communication with stakeholders to gather requirements, resolve data and reporting challenges, and ensure a clear understanding of business needs.
• Demonstrate a proactive position in identifying potential risks, proposing improvements, and taking initiative to drive tasks to completion.
• Ensure data quality and accuracy across all analytical outputs.
• Provide technical guidance and best practices on Looker and BI development.

Requirements:

• Proven hands-on experience with Looker and LookML, including development, enhancement, and optimization of existing reports and dashboards.
• Strong knowledge of BI concepts, data modeling, ETL, and data warehousing principles.
• Proficiency in SQL and experience working with large data sets.
• Hands-on experience with Git and version control workflows.
• Excellent communication skills and ability to work collaboratively in a cross-functional team environment.
• Proactive attitude and ownership over deliverables.
• English: Intermediate-strong or higher, with a proven ability to articulate professional solutions to a foreign client.

Nice to have:

• Experience migrating on-prem BI solutions to cloud environments.
• Exposure to the public sector or HR solutions is a plus.
• Experience working with Snowflake, with an understanding of its specific features and differences from other database and cloud data warehouse technologies.
• Familiarity with other cloud data warehouses and modern cloud data stacks, such as BigQuery, Redshift, or similar technologies.

We offer*:

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

*not applicable for freelancers

Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. 

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. 

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For:

We are looking for a proactive and technically curious DevOps Engineer who is passionate about building reliable internal infrastructure and improving engineering workflows through automation. In this role, you will contribute to the development and maintenance of CI/CD pipelines, enhance internal tools, and help ensure stable and efficient services for engineering, security, and other internal teams. 

We value people who enjoy solving complex technical challenges, continuously improving processes, and collaborating across teams to deliver impactful solutions.

The role is based in Ukraine.

Team composition:

1 Product owner, 1 Technical Lead, 4 DevOps Engineers.

Tech Stack:

• Monitoring: Zabbix, Grafana, Graylog
• Operating Systems: Unix-like (CentOS/Debian/Ubuntu), Windows Server
• Languages: Ready to work with Python, SQL, optional: Groovy, PowerShell
• Containers: Docker (and similar container runtimes)
• Orchestration & Service Mesh: Kubernetes, Istio
• CI/CD Systems: Jenkins, TeamCity
• Cloud services: Azure/AWS (optional)

• Others: Git, Terraform, Ansible, IIS, SVN

   

Responsibilities:

• Design, develop, and optimize automation for CI/CD pipelines (builds, quality checks, deployments, e2e testing, performance testing, etc), enabling faster and safer releases for R&D teams.
• Develop and maintain tools and services for development teams, security teams, and other stakeholders.
• Build and maintain advanced monitoring, alerting, and fault-tolerance systems, ensuring proactive detection and resolution of issues.

• Partner with developers, QA engineers, and architects to implement best practices in DevOps and automation.

   

What you should expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type

SouthRivers Data is a data & AI engineering partner. We strengthen the teams of consultancies and end clients across the EU, UK, and North America with senior data and AI engineers.

We're looking for an experienced Data Engineer to drive the development and maintenance of our data platform built on Azure. If you have strong hands-on experience with Databricks and Microsoft Fabric, we'd love to talk to you.

Responsibilities:

• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory / Databricks
• Work with Microsoft Fabric: building data pipelines, lakehouse architecture, and semantic models
• Optimize performance and cost efficiency of data solutions on Azure
• Ensure data quality, reliability, and scalability across pipelines
• Collaborate with data analysts, ML engineers, and product teams to understand data requirements
• Contribute to data architecture design (data modeling, data governance)
• Conduct code reviews and mentor junior/mid-level engineers

Requirements:

• 3+ years of experience in Data Engineering
• Deep expertise in Azure (Data Factory, Synapse, Storage, Key Vault, etc.)
• Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog)
• Experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake)
• Strong proficiency in SQL and Python (or Scala)
• Experience building and optimizing ETL/ELT processes
• Solid understanding of data modeling principles (dimensional modeling, star/snowflake schema)

Nice to Have:

• Experience with CI/CD for data pipelines (Azure DevOps, GitHub Actions)
• Knowledge of Power BI
• Experience in a regulated/enterprise environment
• Microsoft certifications (DP-203, Fabric Analytics Engineer, etc.)

🚀 We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project.

 

The role is focused on designing, building, and maintaining reliable data pipelines and cloud-based data platforms for high-load business environments. The ideal candidate has strong hands-on experience with Python, SQL, ETL/ELT processes, and AWS data services.

🎯 Responsibilities

 

- Design, build, and maintain scalable batch and near-real-time data pipelines.

- Develop ETL/ELT workflows using Python, SQL, and modern data engineering tools.

- Integrate data from APIs, databases, files, SaaS platforms, and event-based sources.

- Build and support data lakes, data warehouses, and analytics-ready datasets.

- Improve pipeline performance, reliability, scalability, and cost efficiency.

- Implement data quality checks, monitoring, logging, validation, and alerting.

- Troubleshoot production data issues and identify root causes.

- Collaborate with data analysts, BI engineers, data scientists, software engineers, and business stakeholders.

- Maintain technical documentation, data models, and pipeline specifications.

- Contribute to CI/CD, infrastructure automation, and cloud platform improvements.

 

🧩 Requirements

 

- 3+ years of commercial experience in Data Engineering or a closely related role.

- Strong hands-on experience with Python.

- Strong SQL skills, including complex transformations and query optimisation.

- Practical experience building and maintaining production-grade ETL/ELT pipelines.- Experience working with AWS data services, particularly S3 and at least one of the following:

  - AWS Glue;

  - Athena;

  - EMR;

  - Redshift;

  - Lambda.

- Experience with at least one orchestration or transformation tool such as Airflow, dbt, Prefect, Dagster, or similar.

- Experience working with at least one cloud data warehouse or data platform such as Snowflake, Databricks, BigQuery, or Redshift.

- Strong understanding of data warehousing, data lakes, data modelling, partitioning, and file formats.

- Experience implementing data quality checks, monitoring, and error handling.

- Experience with Git and CI/CD workflows.

- Ability to independently investigate issues, make technical decisions, and take ownership of delivery.

- English level: Upper-Intermediate or higher.

 

🧩 Nice to Have

 

- Experience with Spark or PySpark.

- Experience with Kafka, Kinesis, Pub/Sub, or other streaming technologies.

- Experience with Delta Lake, Apache Iceberg, or Apache Hudi.

- Experience with Terraform, AWS CDK, or another Infrastructure as Code tool.

- Experience with Docker or Kubernetes.

- Experience with high-load or analytics-heavy products.

- Experience with GCP or Azure data services.

- Experience supporting AI/ML or LLM-related data pipelines.

🧩You'll have an opportunity to:

Build scalable data platforms using modern cloud technologies.

Work with large datasets and production-grade data pipelines.

Collaborate with experienced international engineering teams.Solve complex data engineering challenges across different industries.

Continuously develop your technical expertise with modern data tools and cloud services.

Take ownership of features and contribute to high-quality engineering practices.

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

Ми шукаємо Senior Infrastructure & Systems Engineer для fintech / crypto-продукту зі складною production infrastructure, high-load системами та розвиненою network architecture.

Це не класична роль корпоративного System Administrator / IT Administrator з фокусом на user support, Microsoft 365 або office infrastructure.

Нам потрібен інженер із сильним досвідом у Linux, networking, virtualization, databases, monitoring та infrastructure security, який працював зі складними production-системами та вміє самостійно знаходити root cause інфраструктурних проблем.

We value

• Ownership mindset та системне мислення
• Сильні troubleshooting skills
• Досвід роботи з production-critical infrastructure
• Глибоке розуміння networking
• Проактивний підхід до security, monitoring та reliability
• Здатність знаходити root cause та впроваджувати стабільні рішення

Вимоги

• 5+ years of experience in System Administration / Infrastructure / Network Engineering
• Strong Linux administration experience (Debian / Ubuntu)
• Досвід роботи зі складною production / high-load infrastructure
• Strong networking knowledge: TCP/IP, routing, DNS, VLAN, VPN, firewalls, NAT
• Практичний досвід troubleshooting складної network infrastructure
• Nginx, HAProxy, load balancing
• Virtualization: Proxmox / VMware ESXi
• Досвід адміністрування та troubleshooting PostgreSQL
• Практичний досвід з Redis
• Monitoring / logging: Prometheus, Grafana, ELK, Loki або аналоги
• Infrastructure security: access management, certificates, secrets, hardening
• Backup / restore та disaster recovery
• Scripting: Bash та/або Python
• Strong troubleshooting та root cause analysis skills

Обов'язки

• Адміністрування та розвиток production infrastructure
• Підтримка та оптимізація Linux servers
• Робота з virtualization environment
• Побудова та підтримка складної network infrastructure
• Налаштування routing, VPN, firewalls, reverse proxies та load balancing
• Troubleshooting infrastructure та network incidents
• Адміністрування PostgreSQL та Redis
• Підтримка monitoring, logging та alerting
• Infrastructure performance optimization
• Infrastructure hardening та security improvements
• Backup / restore та disaster recovery
• Capacity planning для high-load systems
• Автоматизація infrastructure tasks
• Взаємодія з development / DevOps командою щодо production issues

Буде плюсом

• Досвід у fintech / crypto / trading products
• Досвід з high-load або real-time systems
• Kubernetes
• Terraform / Ansible
• Kafka
• MongoDB / InfluxDB
• GitLab CI/CD
• HashiCorp Vault
• SIEM / DevSecOps
• Досвід побудови infrastructure from scratch

Умови

• Remote
• Full-time
• Long-term cooperation
• Fintech / crypto product
• Складна production та high-load infrastructure
• Payment exclusively in cryptocurrency (crypto). Please apply only if you are comfortable receiving 100% of your compensation in crypto.

About Us

On behalf of our client we are looking for an experienced Senior DevOps Engineer to take ownership of our infrastructure, reliability and platform operations.

This is a hands-on engineering role for someone who enjoys building robust systems, solving complex production problems and continuously improving the way technology is delivered and operated.

You will own the reliability of our platform across infrastructure and application services, from AWS and Kubernetes, to observability, networking, CI/CD, security and automation. You will work closely with software engineers to ensure our services are scalable, resilient, observable and production-ready.

We are looking for someone with a strong ownership mindset who proactively identifies problems and opportunities, builds solutions and drives improvements rather than waiting for tasks to be assigned.

What You’ll Do:

• Design, build and operate reliable, scalable infrastructure for our iGaming platform on AWS using Infrastructure as Code.
• Take ownership of platform reliability across infrastructure and application services, including Kubernetes, networking, service health and performance.
• Define and maintain SLIs and SLOs and establish meaningful reliability targets for critical services.
• Build and continuously improve end-to-end observability across metrics, logs and distributed tracing, including dashboards and actionable alerting.
• Investigate and resolve production incidents end-to-end, perform root cause analysis and turn findings into permanent reliability improvements.
• Design, build and maintain CI/CD and GitOps workflows, with automated validation, safe deployment strategies and reliable rollback mechanisms.
• Work directly with application code when required — adding instrumentation, improving health checks, troubleshooting services and collaborating with developers on technical solutions.
• Own and improve infrastructure around networking, load balancing, CDN, DNS, TLS and traffic management.
• Identify opportunities to automate repetitive operational tasks and reduce manual intervention.
• Continuously improve security, performance, scalability, efficiency and cost predictability across the platform.
• Work closely with software engineers on architecture, scalability, resilience, failure scenarios and production readiness.
• Contribute to technical architecture and help identify potential reliability issues before they reach production.
• Develop and maintain practical runbooks, operational procedures and technical documentation.
• Build and maintain a technical backlog of infrastructure and reliability improvements and proactively drive initiatives through to completion.
• Use modern AI tools and AI agents as part of your daily engineering workflow to accelerate investigation, debugging, automation, code development and problem-solving.

What We’re Looking For:

• 4+ years of experience in SRE, DevOps, Platform Engineering or Infrastructure Engineering.
• 2+ years of hands-on experience running Kubernetes in production.
• Strong hands-on experience with AWS and a solid understanding of cloud infrastructure, including compute, networking, IAM, storage, databases, load balancing, CDN and managed services.
• Strong experience with Kubernetes, Terraform and Helm.
• Practical experience with modern observability tooling such as Prometheus, Grafana and OpenTelemetry, or equivalent technologies.
• Strong Linux and networking knowledge, including DNS, TLS, routing and container runtimes.
• Experience building and maintaining CI/CD pipelines and GitOps workflows.
• Experience with GitHub Actions and ArgoCD or Flux is highly desirable.
• Ability to read, understand and modify application code when required.
• Strong scripting and automation skills, particularly with Bash and/or Go.
• Good understanding of distributed systems, scalability, high availability and common failure modes.
• Strong troubleshooting and analytical skills, with the ability to investigate complex issues across multiple layers of a technology stack.
• Experience with modern AI-powered engineering tools and agents and a genuine willingness to incorporate them into your everyday workflow.
• A strong ownership and continuous-improvement mindset. You proactively identify reliability, performance, security and operational opportunities, build your own technical backlog and drive initiatives forward.
• Comfortable working collaboratively with software engineers and contributing to technical and architectural discussions.
• English B1 level or higher.
• Fluent Ukrainian or Russian

What We Offer:

• Pay that actually respects your work 
• Work that grows with you - real learning, mentorship, and fast skill development
• Fast career progression - if you grow fast, we grow you fast
• Hybrid freedom - office + remote mix that actually fits your life
• Flexible Working Hours
• 21 vacation days + 7 sick days (no questions asked)
• Birthday half-day off
• Fully stocked snacks & drinks station to keep energy (and morale) high
• Brand New MacBook provided 
• Modern, fast-moving environment - things change fast, and so do opportunities
• Ownership from day one - you’re trusted with real responsibility
• Diverse, open-minded team culture - people-first environment

Join Our Team of Visionary Innovators! 

Are you a mindful go-getter with an entrepreneurial spark? We're on the lookout for dynamic individuals ready to grow and thrive with us. At our core, we believe in people first—your passions, ambitions, and evolution matter.

Here, growth isn’t just a goal; it’s the #1 priority. Work is personal. Personal drives growth. Growth fuels prosperity.

About Tone Singleton

Tone Singleton is a technology company building software products across multiple domains, from CRM systems for healthcare clients to mobile learning applications for Mandarin Chinese learners. We operate as a lean engineering team that owns its infrastructure end to end, from AWS CDK stacks to end-user interfaces.

The Role

We're looking for a versatile full-stack engineer to join our small team (currently 3 developers). You'll work across the entire product lifecycle: designing data models, building backend services, crafting frontends, configuring CI/CD, managing infrastructure, and shipping features to production.

What You'll Work On

This isn't a role where you write React components all day. You'll set up Docker containers one morning and design a Microsoft Graph API integration the next.

• CRM systems: Vendor and custom, with extensions (PHP/TypeScript).
• Websites: Next.js + Tailwind CSS deployed on AWS Amplify. Payload CMS for content management. Storybook for component documentation. SEO and analytics.
• Mobile applications: React Native apps. SQLite-based offline-first architecture with Drizzle ORM. iOS deployment via Fastlane.
• Developer tooling: Projen-based project scaffolding library that generates standardised TypeScript packages, CDK constructs, Next.js apps, Payload CMS setups, and React Native projects.
• Infrastructure: AWS CDK v2 stacks managing multi-account environments, Aurora Serverless PostgreSQL, CloudFront CDN, Route 53, SES email, and Amplify deployments. On-premises VM management with ESXi, Docker, NGINX (SWAG), and Portainer.

Day-to-Day Responsibilities

• Design and implement features end-to-end (API → database → UI)
• Set up and maintain CI/CD pipelines (GitHub Actions)
• Configure production environments including Docker containers, DNS records, and SSL
• Write and review pull requests in a trunk-based development workflow (feature branches → develop → main)
• Manage dependency updates and security patches
• Troubleshoot production issues (connection failures, container lifecycle, build performance)
• Build reusable libraries and abstractions (ORM clients, type packages, CDK constructs)
• OLTP and OLAP data modeling

Must-Have

• Strong TypeScript proficiency across Node.js and browser/React environments
• Good Python proficiency with the ecosystem (uv, Pydantic, ruff, etc)
• Experience with Next.js (App Router, server components, middleware)
• Comfortable with Docker, Linux server administration, and networking fundamentals (DNS, reverse proxies, SSL)
• AWS experience. At minimum: Amplify, S3, CloudFront, RDS/Aurora, SES. CDK knowledge is a strong plus.
• GitHub Actions CI/CD pipeline authoring
• Ability to work independently, create well-scoped issues, and drive features to completion without hand-holding
• Conventional commits and clean PR hygiene

Nice-to-Have

• React Native/mobile
• PHP
• Microsoft Azure AD / Graph API / SCIM
• Projen or JSII
• Payload CMS or similar headless CMS
• Storybook and component-driven development
• AWS CDK v2 with multi-account, multi-environment patterns
• SQLite / Drizzle ORM
• VMware ESXi / on-premise infrastructure management

What We Value

• Ownership: you create the issue, implement the feature, deploy it, and verify it works in production.
• Perfectionism: we don't see it as a flaw and prefer slower but better.
• Breadth: the team is small. You'll touch PHP, TypeScript, Python, Docker, AWS, NGINX, and more within any given month. Yes, unfortunately, this means occasional context-switching that we're trying to minimise as much as possible, and you'll be part of it.
• Clear communication: issues are well-described with context. PRs have descriptive titles. Questions get asked early, not after a week of going in the wrong direction.

How We Work

• Small team (you + 3 engineers), flat hierarchy
• GitHub-centric: issues with milestones, project boards, typed issues (Bug/Task), Dependabot for automated updates
• Projen manages project configuration — no manual package.json edits
• Conventional commits enforced via Husky/commitlint
• We use AI-assisted development tooling (Kiro) and are building autonomous agent infrastructure (Bedrock AgentCore)
• You'll be given a monthly AI tokens allowance
• You'll be given a paid AWS SkillBuilder subscription and your AWS certification exams expenses will be covered

Note: Bonus points if you link a GitHub profile that shows you shipping real software across multiple technologies.

The role

Principal DevOps Engineer to design and build the AWS infrastructure and delivery platform the new gaming platform will run on. Greenfield: define the cloud foundation — account structure, networking, Kubernetes platform, CI/CD, observability — before the first production workload lands, then scale it to sportsbook peak traffic for millions of players. The platform must hold under live-betting spikes, strict uptime expectations for a money-moving system, and gaming-regulator audit and compliance requirements. Hands-on technical leader: writes infrastructure code daily, sets platform standards, and is the technical authority on how software is built, shipped and operated.

What you will do

• Design the AWS foundation from scratch: multi-account architecture (AWS Organizations), landing zone, VPC and networking, IAM strategy, cost governance
• Build and operate the container platform — Amazon EKS, service mesh, autoscaling tuned for spiky sportsbook load, multi-AZ (and where justified multi-region) resilience
• Define everything as code: Terraform for all infrastructure, GitOps delivery (Argo CD or similar), paved-road CI/CD pipelines so product teams ship safely and often
• Establish the observability stack — metrics, logging, tracing, alerting (Prometheus/Grafana, OpenTelemetry, CloudWatch) — and drive an SLO-based reliability practice with error budgets
• Own production readiness: incident response, on-call design, runbooks, chaos/load testing ahead of major sporting events, blameless postmortems
• Build the infrastructure side of the migration off the current third-party platform: dual-running environments, data migration pipelines, cutover mechanics
• Embed compliance into the platform: audit trails, environment segregation, backup/DR, controls that satisfy gaming regulators by construction
• Partner with the AI coding platform team: provision and operate the infrastructure behind AI-assisted development, and bring AI tooling into DevOps workflows
• Mentor engineers across teams on cloud-native and operational best practices; set organization-wide standards

Must have

• 10+ years of DevOps / platform / infrastructure engineering, including 3+ years at staff/principal level with organization-wide influence
• Deep hands-on AWS: EKS, EC2, RDS/Aurora, networking (VPC, Transit Gateway, Route 53), IAM at scale, multi-account architectures (AWS certifications such as SA Professional / DevOps Professional are a plus)
• Expert-level infrastructure as code with Terraform
• Strong Kubernetes operational depth: day-2 operations, upgrades, capacity, cost
• Track record of building CI/CD and developer platforms engineering teams adopted willingly — golden paths, not gatekeeping
• Observability and SLO/error-budget practice (Prometheus/Grafana, OpenTelemetry, CloudWatch)
• Experience operating high-availability, high-throughput production systems with real traffic spikes, with documented playbooks from real incidents
• Strong scripting/programming (Python, Go or Bash) and comfort reading application code
• Experience designing backup, disaster recovery and business continuity for systems where data loss is not an option
• Excellent written and spoken English; communicates platform decisions clearly to engineers and executives

Nice to have

• Hands-on use of AI coding tools (Claude Code, Codex) for infrastructure, pipelines and ops automation — a significant plus
• Security engineering: cloud security posture management, secrets management (e.g. Vault), vulnerability management, SAST/DAST/SCA in CI/CD, ISO 27001 / SOC 2 / PCI DSS
• iGaming, sports betting, fintech or another regulated, high-transaction-volume domain
• Migration off a third-party vendor platform
• Event-streaming infrastructure (Kafka/MSK) and database operations at scale
• Polish and/or Spanish

Project Description:

Join our Development Center in Bucharest, and become a member of our open-minded, progressive and professional team. In this role you will be working on projects for one our world famous clients.
You will have a chance to grow your technical and soft skills, and build a thorough expertise of the industry of our client.
On top of attractive salary and benefits package, Luxoft will invest into your professional training, and allow you to grow your professional career.

Responsibilities:

• Shaping the horizon: It’s in your hands to decide what can make everyone happy - new or better tools/automation, new platform components. Doing all this as optimally as possible. 
• Developer Experience: Lead the adoption of best practices for CI/CD and monitoring parts. 
• Cloud Migration: Curate the implementation of hybrid-cloud setup for our Client's data platform 
• Collaboration: Provide your expert’s advice on infrastructural services and cloud stack for operation support engineers (SL2) during incident investigation and mitigation. Work closely with software engineers on implementing new platform offerings

Mandatory Skills Description:

• 5+ years of experience as a DevOps Engineer
• Linux expertise: sensible knowledge of Linux internals, expert shell scripting. 
• Programming proficiency: basic proficiency with at least one JVM language (Java, Scala/Kotlin) and Python 
• Automation experience: hands-on experience with CI/CD platforms like classic ones (Teamcity/Jenkins) and modern ones (GitHub Actions is a plus)
• Verifiable experience with containers and orchestration (k8s), related tooling (like Helm or Grafana). 
• Experience with major cloud providers (GCP is a strong plus).
• Experience with Infra as Code tools (like Terraform or Pulumi) is a must. 
• Monitoring & instrumentation: hands-on experience with logging, monitoring & alerting tools (e.g LGTM stack or competitors)

Nice-to-Have Skills Description:

• Distributed systems experience: operational experience with distributed services deployment
• Hands-on experience with Apache Kafka in Kubernetes environments, including deployment and operations using the Strimzi Operator, Kafka cluster setup/configuration, and ongoing infrastructure management (scaling, monitoring, reliability, and maintenance).
• Familiarity with Hadoop stack, Apache Spark, and analytical database system (like Clickhouse/BigQuery/Exadata) 
• Enterprise Cloud tools: experience with OpenShift (plus), hybrid on-prem/cloud setups (like Google Anthos) - strong plus  
• Data pipeline orchestration tools: experience with tools like Apache Airflow is strong plus

Languages:

English: B2 Upper Intermediate

About the Project:
• We are looking for a Senior AI/ML Engineer to join a product AI team developing an AI-powered CRM system.
• The product includes an AI assistant that performs user-requested tasks within the CRM.
• Its architecture includes proprietary LLM APIs, a personalized RAG/context system for each user, agentic workflows and scheduled agents.
• A major focus of the project is optimizing the AI system, controlling token usage and costs, and ensuring reliable production performance.
About the Role:
• This is a hands-on role covering the full LLM stack.
• The engineer will work with LLM application engineering, agentic systems, RAG, context management, fine-tuning, model deployment and production MLOps.
• The role goes beyond prompt engineering or simple LLM API integration.
• The person should be able to make technical decisions independently and take AI functionality from an idea to production.
Responsibilities:
• Design and improve agentic workflows and AI systems.
• Work with LLM APIs and the existing AI architecture.
• Develop RAG and context systems to personalize the user experience.
• Optimize token usage and AI-related costs.
• Fine-tune or adapt models when necessary.
• Participate in deployment, monitoring and production support of AI systems.
• Improve the quality, stability and scalability of AI solutions.
• Make architectural decisions and independently drive tasks from idea to implementation.
Requirements:
• Senior-level experience in AI/ML and LLM projects.
• Proven experience building and deploying AI systems, not only prototypes or experiments.
• Experience with agentic systems, RAG or other LLM-based solutions.
• Understanding of fine-tuning, model adaptation and model evaluation.
• Experience with production deployment and MLOps.
• Strong software engineering and architectural skills.
• High level of autonomy and ownership.
Candidate Profiles:
• We are open to both strong ML/research engineers with productionization experience and production-focused LLM engineers with deep experience building, optimizing and operating AI systems.
• In either case, senior-level ownership and hands-on experience are essential.
Nice to Have:
• Experience with multi-agent systems and scheduled agents.
• Experience optimizing the cost and performance of LLM systems.
• Experience with self-hosted models, GPU inference or model serving.
• Experience working on AI products and complex user workflows.
• Experience processing different data formats and working with text-based AI systems.