Jobs Data & Analytics

We are looking for a Senior Fabric Developer passionate about building systems that shape business outcomes. You will drive and manage large-scale data migration and modernization initiatives and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation.

Responsibilities and Duties: 
- Strong Kimball/Medallion data warehouse expertise, delivered through Microsoft Fabric (Delta lakehouses, Spark notebooks) on an Azure SQL MI source. 
- Heavy AI-assisted development requires rigorous post-generation validation and code review. 
- Able to work near EST hours, up to 3 pm EST would be excellent, all the way to 5 pm EST would be perfect. 

Full-time remote job. 6-month contract.

About the Role

We are looking for a Regional Database Administrator (DBA) to join our regional IT organization and take ownership of database operations across multiple sites in the region.

The role has a strong hands‑on focus on monitoring, maintaining, optimizing, and automating enterprise‑critical and local database platforms, with special emphasis on Jabil Manufacturing Execution Systems (MES).

You will work closely with Site IT, regional IT, application development teams and global stakeholders to ensure high availability, performance, and scalability of business‑critical databases.

What We Offer

• Transparent and competitive compensation structure, including performance-based bonus opportunities
• Competitive compensation and benefits
• Regional role with high business impact
• Opportunity to work with modern cloud and on-premises technologies
• Direct influence and ownership of databases supporting critical business applications
• Collaborative, international IT environment
• Professional growth and learning opportunities
   

Key Responsibilities : 

Database Operations & Monitoring

• Monitor, maintain, and support Microsoft SQL Server, PostgreSQL, and AWS Redshift environments (on-premises and cloud-hosted)
• Ensure database availability, performance, and reliability in line with SLA and performance requirements
• Maintenance & Automation
• Design, implement, and maintain database maintenance jobs (backup, restore, patching, indexing, housekeeping)
• Maintain data lifecycle processes and introduce data archiving and purging procedures
• Proactively identify opportunities for automation and standardization
• Improve operational efficiency through scripting and tooling
• Ensure database security compliance and lead database updates and migrations

Performance Optimization

• Analyze and optimize database performance, including:

  - Query tuning

  - Index strategies

  - Resource utilizationIdentify and resolve bottlenecks in high-load environments

• Support capacity planning and growth forecasting
• MES Database Focus
• Act as the database subject-matter expert for MES systems
• Ensure MES databases have the required resources, performance, and stability

Work closely with application and MES teams to:

• Optimize complex queries
• Support application changes
• Prevent production issues
• Review database changes

Governance & Best Practices

• Enforce database best practices for security, backup, recovery, and compliance
• Support audits and ensure adherence to corporate IT standards
• Contribute to documentation, runbooks, and knowledge sharing
• Project and Support Involvement
• Collaborate with product teams on database design throughout the SDLC process
• Maintain database projects in Git repositories
• Build and maintain CI/CD pipelines for database projects

• Actively participate in Incident Management and Problem Management within IT SLA requirements

   

Required Qualifications : 

Technical Skills

• Strong experience as a Database Administrator in enterprise environments

• Proven hands-on expertise with:

  - Microsoft SQL Server

  - PostgreSQL

  - AWS Redshift

   

Solid understanding of:

• Building and optimizing SQL queries
• Database design
• High availability and disaster recovery concepts
• Performance tuning and troubleshooting
• Backup and recovery strategies
• Experience with cloud platforms (AWS, Azure)

• Scripting experience (e.g., PowerShell, Bash, SQL, Python) is a plus

   

Professional Experience

• At least 3 years of experience supporting mission-critical production systems
• Background in manufacturing, MES, or industrial IT environments is a strong advantage
• Ability to work across multiple sites and cultures in a regional role

Soft Skills

• Strong analytical and problem-solving mindset
• Proactive, improvement-oriented approach
• Good written and verbal communication skills in English
• Comfortable working independently and as part of a regional/global team

Nice to Have

Experience with:

• Always On, clustering, replication
• Infrastructure-as-Code (IaC) or DevOps practices
• Monitoring tools and alerting platforms
• Familiarity with ITIL and incident, problem, and change management processes

If this opportunity sounds interesting or you have any questions about the role or process, feel free to reach out — we’re happy to share more details.

Joining our team! 

Our client is leading supplier of sports analytics to its clients. Using cutting edge Computer Vision and AI/ML technologies, the company provides outstanding real-time sports performance analysis. As an analyst you will be responsible for providing quality statistics for ice hockey games using client's proprietary tools.

Job Description

- Confident PC user (Windows)
- Basic English
- Extensive internet research skills
- Creative problem-solving and analysis skills
- Team player with good interpersonal and solution-oriented attitude
- Readiness to work in shifts (mandatory)
- Stress-resistance
- Ice Hockey knowledge is very beneficial, actual hockey playing skills are not required
- Video gaming experience also useful
 

Job Responsibilities

- Analyze ice-hockey games and record key events as they occur such as successful pass, penetration of offensive zone, faceoff win, etc. (40+ total event types)
- Check the quality of content and do an analysis of quality data
- Work on various data tools and generate information by doing online research
- Provide inputs/content with high quality
- Ability to identify and verify source authenticity
- Solve complex problems in time-bound and effective manner
- Ability to analyze data by doing secondary research
 

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 7+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise.

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  · AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Minimum 10 Years of experience in IT/Data.
  Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
  · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  · Strong technical skills in Python, PySpark, SQL, and data modelling.
  · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  · Ability to work independently and engage directly with non-technical business users.
  · Strong problem-solving mindset and ownership of delivery.

• Nice-to-Have Skills Description:

  · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  · Exposure to AIP Evals and evaluation/test-driven approaches.
  · Experience with integration patterns (APIs, MCP, cloud services).
  · Consulting or applied AI/ML background.

Description

Our client is looking for a hands-on Principal Data Engineer & Architect to lead the design, evolution, and execution of their core data engineering ecosystem. This role is built specifically for an elite technical leader who loves mapping out highly reliable distributed architectures but is driven by a strong desire to stay close to the metal—allocating approximately 70% of their time to writing mission-critical production code, core data libraries, and internal frameworks, and 30% to high-level architectural design, data infrastructure governance, and technical mentorship.
 

About Our Client

Our client is a venture-backed, AI-powered platform built specifically for consumer brands. It connects seamlessly to fragmented external sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking—all in real time. With integrations stretching across finance, e-commerce, and marketing tools, the platform provides the clarity and automation brands need to grow confidently.
 

What You’ll Do

Architect Data Infrastructure (70% Focus): Maintain a heavy, hands-on presence in the codebase. Author core data processing libraries, distributed computing frameworks, and high-scale data platforms in JavaScript (Node.js/NestJS) and Python to establish gold standards for the engineering team.

Design Data Systems (30% Focus): Design and evolve a robust, multi-tenant data architecture capable of handling massive datasets and high-throughput processing across hundreds of distinct data domains concurrently.

Data Quality & Governance: Establish bulletproof data integrity and observability patterns. Focus on robust processing workflows, comprehensive data validation, automated quality checks, and end-to-end distributed tracing across the data lifecycle.

Scale Data Pipelines: Define and enforce efficient data architectures, high-throughput streaming patterns, and transaction boundaries to guarantee accurate real-time financial reporting at scale.

Technical Leadership & Mentorship: Act as an elite technical sounding board for the engineering organization. Conduct comprehensive architecture reviews, upskill senior engineers, and champion modern DevOps, testing, and deployment workflows.
 

What We’re Looking For

Deep Industry Experience: 8+ years of professional software engineering experience, with a proven history of designing, deploying, and maintaining large-scale data processing and distributed data infrastructure solutions.

Polyglot Mastery in Data Engineering: Highly proficient in both JavaScript/TypeScript (Node.js, NestJS) and Python, with the ability to build sophisticated data pipelines and distributed systems using each language’s native strengths.

Advanced Data Engineering & Architecture Expertise: Extensively experienced with distributed systems, high-scale storage solutions, query optimization, and complex data architecture patterns for massive, high-velocity datasets.

Data Modeling & Schema Excellence: Expert-level understanding of relational (SQL) and non-relational (NoSQL) databases, schema design, complex data validation, mapping workflows, and ETL pipeline design.

True Builder Mentality: A strong architectural thinker who actively rejects the “ivory-tower” approach and remains deeply passionate about shipping high-quality production code every single week.
 

Would Be a Plus

Direct technical experience within FinTech, e-commerce SaaS platforms, or real-time data streaming architectures (e.g., Kafka, RabbitMQ).

Familiarity with financial data aggregates or banking networks (e.g., Plaid, Yodlee, Stripe).

Experience setting up data ingestion pipelines optimized for downstream AI/LLM analysis models.
 

What We Offer

Highly competitive principal-level base salary + substantial early-stage equity package.

Comprehensive medical, dental, and vision insurance coverage.

Flexible, remote-first working culture with an elite engineering group.

Direct technical influence over the foundational platform architecture of a fast-growing, venture-backed startup.

We are looking for a Lead/Senior AI/ML Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. The team focuses on leveraging AI, machine learning, and advanced analytics to optimize industrial operations, improve asset reliability, and support data-driven decision-making across global mining and production facilities. The role is focused on building intelligent solutions for predictive maintenance, anomaly detection, and asset performance optimization, helping reduce downtime and improve operational efficiency across large-scale industrial environments.

Part-time work is also possible (4 hours a day).

Responsibilities:

• Design, develop, and deploy machine learning models for predictive maintenance, anomaly detection, and asset health monitoring.
• Build and maintain production-grade ML pipelines for time-series forecasting and sensor/telemetry data processing.
• Collaborate with Data Engineers and Analytics Engineers on data preparation, feature engineering, and model integration.
• Integrate model outputs, risk scores, and predictive insights into operational dashboards and business applications.
• Establish and maintain MLOps processes, including model deployment, monitoring, retraining, and drift detection.
• Research and evaluate new AI/ML approaches, tools, and technologies to improve predictive capabilities and business outcomes.
• Work closely with business and technical stakeholders to translate complex analytical results into actionable recommendations.

Requirements:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and hands-on experience with Pandas, NumPy, Scikit-Learn, SciPy, and related ML libraries.
• Proven experience with time-series forecasting and predictive modeling techniques (ARIMA, Prophet, XGBoost, LSTM/RNN, etc.).
• Experience working with telemetry, IoT, sensor, or equipment performance data.
• Hands-on experience with Azure Machine Learning, Databricks, MLflow, or similar MLOps platforms.
• Strong SQL skills and experience working with both relational and non-relational databases.
• Experience building and deploying production-ready ML solutions.
• Strong analytical and problem-solving skills with the ability to translate technical insights into business value.

Nice to have:

• Master's or PhD degree in Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Experience in mining, manufacturing, heavy industry, utilities, or other asset-intensive domains.
• Knowledge of Operational Technology (OT) environments and reliability engineering concepts.
• Experience with enterprise asset management systems such as SAP PM or IBM Maximo.
• Familiarity with reliability methodologies such as RCM or FMEA.
• Experience with real-time data processing and anomaly detection on streaming platforms (Kafka, Azure Stream Analytics, etc.).

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

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: In this role, you will directly influence product growth and monetization by improving Recommendation Systems for gifts and coins. You’ll work end-to-end on ML solutions — from defining the Data Science roadmap and running experiments to deploying production-ready models — while collaborating closely with Product Managers, Analysts, and Engineers. The role offers a combination of hands-on machine learning, recommendation systems, MLOps, and strategic ownership in a fast-paced product environment where your work will have visible business impact.

In this role, you will

• Create, develop, and improve machine learning models to enhance business performance and product effectiveness
• Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements
• Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency
• Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments
• Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure
• Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

It’s all about you

• 4+ of Machine learning and deep learning on tabular data, Recommendation systems. 
• 4+ years of software development experience in Python with experience working with ML and DL
• Experience in designing a data science roadmap and the leading technical execution of the project
• Experience with Cloud development AWS/GCP
• Experience of deploy API models on Dev/Prod environment
• Practical understanding of A/B tests process
• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
• Extensive SQL knowledge

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity recovery support allowance 
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical Interview
• Final Interview
• Reference check
• Offer

Шукаємо у команду Senior DevOps / SRE Engineer (Remote).

Якщо ви маєте бажання працювати в невеликому колективі разом із сильною командою, радо розглянемо ваш відгук! Ми шукаємо не лише сильного DevOps Engineer, а й інженера із досвідом Site Reliability Engineering (SRE), який готовий брати на себе технічне лідерство, ділитися знаннями та допомагати розвиватися іншим членам команди. Націлені на довгострокову співпрацю з компенсацією, що базуватиметься на вашому досвіді роботи.
 

Завантаженість: повна зайнятість — 40 год/тиждень. Робота віддалена. Оплата погодинна.
 

Стек технологій:

- Scripting: Bash | Python | Makefile

- Containers and Orchestration: Kubernetes | Docker | GKE

- Infrastructure as Code (IaC): Terraform | Ansible

- CI/CD & Automation: GitHub Actions | CircleCI | TravisCI

- Cloud Providers & IaaS: AWS | GCP | Azure | Hetzner

- Databases: SQL | NoSQL (PostgreSQL, Redis…)

- Authorization and Security: OpenSSL

- Observability and Monitoring: Prometheus | Grafana | ELK Stack (Elasticsearch, Logstash, Kibana)

- Operating Systems: Linux
 

Site Reliability Engineering (SRE):
- SLI / SLO / SLA | Incident Response | Root Cause Analysis (RCA) | - High Availability | Capacity Planning | Disaster Recovery | 
- Performance Optimization | Reliability Engineering | 
 

Буде плюсом:

- Infrastructure Management: Developing and implementing infrastructure, configuration, and code branching strategies.

- Quality Assurance & Testing: Conducting integration, regression, UI/UX, API, load/stress, and other types of testing.

- Bug Tracking & Issue Management: Identifying, documenting, and tracking software defects and bugs.

- Performance & Optimization: Monitoring and analyzing quality metrics to identify areas for improvement.

- Automated Testing: Experience with automated testing frameworks such as Selenium, Appium, JMeter, etc.

Mentoring & Leadership:
- Досвід менторингу Junior/Middle інженерів, проведення code review, технічних обговорень, knowledge sharing та допомоги команді у професійному розвитку.
 

Вимоги до кандидата:

- Досвід роботи DevOps Engineer та практичний досвід Site Reliability Engineering (SRE)
- Досвід побудови та підтримки високодоступних production-систем із високими вимогами до reliability.

- Досвід роботи з Kubernetes у production-середовищі

- Розуміння принципів високої доступності, масштабування та відмовостійкості систем

- Досвід побудови та підтримки CI/CD процесів

- Англійська мова — Intermediate+

- Уміння слідувати code conventions

- Здатність навчатися

- Здатність наполегливо працювати

- Критичне мислення

- Витривалість

- Спроможність лаконічно та чітко пояснювати свою думку

- Бажання ділитися знаннями, проводити менторинг та допомагати розвиватися іншим членам команди

- Відданість нашим проєктам

- Прозорість
 

Що отримаєте:

- Віддалені умови роботи

- Удосконалення навичок планування та продуктивності

- Робота у вимогливому, але дружньому середовищі серед A-гравців

- Регулярний зворотний зв'язок і допомога в плануванні вашого навчального процесу та кар'єрного зростання

- Незалежність від місцевого ринку та долучення до глобальної економіки

- Підвищення рівня володіння англійською мовою

- Корпоративні навчання, технічні воркшопи та тренінги для постійного підвищення кваліфікації

DevSecOps Engineer (Senior)

Location: Remote
 

About the Role

We are looking for a highly skilled and strategic Senior DevSecOps Engineer to lead our security operations and infrastructure automation initiatives. In this role, you will bridge the gap between development, security, and operations, ensuring our on-premise environment remains secure, resilient, and efficient.

You will act as a subject matter expert, leveraging cutting-edge tools like CrowdStrike to automate threat detection and response, while maintaining robust perimeter security via Cloudflare.

Key Responsibilities

• Implementation and automation of security tools in the CI/CD process (SAST, DAST, SCA).
• Analysis of vulnerabilities in code, infrastructure and containers.
• Development and configuration of security monitoring systems, incident response.
• Monitoring and improving the security level of on-prem infrastructures.
• Interaction with developers, DevOps and security teams to implement secure practices.
• Active participation in the processes of IAM configuration, management of certificates, secrets and access policies.
• Conducting internal security audits, participation in external (e.g. penetration) tests.

Requirements

Must-have:

• Experience: 5+ years of experience in DevSecOps, Security Engineering, or a related field, with at least 2 years in a Senior role.
• Tooling Expertise: Deep hands-on experience with the following specific tools:
• Baremetal/on-premise infrastructure
• Docker (Docker Swarm is a strong plus)
• Gitlab CI 
• CrowdStrike
• Cloudflare
• ELK.
• SIEM Proficiency: Proven experience deploying and tuning SIEM solutions (e.g., Splunk, Elastic Security, Datadog, or similar).
• Infrastructure: Strong background in managing on-premise infrastructure (physical servers, data centers, virtualization, networking).
• Scripting: Proficiency in Python, Go, or Bash for automation and tooling.
   

Nice-to-have:

• Experience with Kubernetes and such tools as Wiz.io and Torq.
• Previous involvement in high-load, regulated, or 24/7 production environments (e.g., iGaming, FinTech, telecom or similar).

We offer

• Fully remote work opportunity
• Enhanced leave benefits:
• 20 days of paid vacation
• 5 paid days off
• 14 paid sick leaves
• Company clubs & communities
• Celebration gifts for personal milestones
• Corporate online events, raffles & challenges
• Corporate English program
• Corporate yoga classes
• Team-building activities
• Coworking compensation
• Training and development programs (internal & external).

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

• Mandatory Skills Description:

  • Readiness to work until 8.00 pm CET (no need to do overtimes)
  • Overall years of experience required 8+ (at least 1+ year in a Lead/Architect position)
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).
  • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
  • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
  • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
  • Experience integrating metadata and governance processes into cloud-based data platforms
  • Certification in Azure, Databricks, or other relevant technologies is an added advantage
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH

Want to work on technologies used by data platforms at a global scale?

We’re looking for Senior and Middle+ Java Engineers to join a long-term cloud data infrastructure project focused on modern Data Lakehouse technologies, distributed systems, and open-source development.

You’ll be building integrations between data processing frameworks and cloud services, improving compatibility across the ecosystem, and contributing to technologies that power large-scale analytics platforms. If you enjoy solving complex backend challenges and working close to the open-source community, this role is for you.

What you’ll be working on

• Develop new features for large-scale data infrastructure components.
• Build integrations between distributed data processing frameworks and cloud storage services.
• Improve compatibility across modern data processing engines.
• Contribute to high-quality, production-grade backend services.
• Participate in architecture discussions and technical design.
• Collaborate with engineers across international teams and contribute to engineering best practices.

Tech stack

Must have

• Java
• Python (working proficiency)
• Experience with at least one of: Apache Flink, Spark, Kafka, or Apache Beam
• Understanding of Data Lake / Lakehouse architecture
• Experience with Google Cloud Platform (BigLake, GCS, KMS, or related services)

Nice to have

• Apache Iceberg
• Open Source contributions
• Experience with distributed systems
• Cross-system integration experience

What we’re looking for

• Strong commercial experience with Java backend development.
• Experience building data-intensive or distributed backend systems.
• Solid understanding of cloud-native architectures.
• Experience working with modern data processing technologies.
• Strong problem-solving skills and ownership mindset.
• Good communication skills and ability to work in a distributed international team.

What we offer

• Paid vacation and sick leave
• 11 official public holidays per year
• Personal Career Development Plan (CDP)
• Challenging engineering projects with modern cloud technologies
• Paid external training, conferences, and professional certifications
• Internal tech talks, workshops, and English classes
• Employee support program (healthcare, legal assistance, partner discounts)
• Corporate library with paper and e-books

If you’re excited about distributed systems, cloud data platforms, and building software that makes an impact beyond a single product, let’s talk!

Apply now or send us a message – we’d love to share more details about the project and see if it’s the right fit for you.

Acropolium, together with its international partner in the energy industry, is looking for an experienced Data Engineer to join a project focused on GDPR compliance and enterprise data lifecycle management.

You will become part of the agile Unlocking & Deletion team, responsible for developing and maintaining an end-to-end data deletion process across multiple enterprise systems. The team builds and enhances the GDPR Orchestrator, ensuring secure, compliant, and automated deletion workflows in accordance with GDPR requirements.

Project Details

• Industry: Energy
• Start Date: August 1, 2026
• End Date: December 31, 2026 (extension possible)
• Location: 100% Remote
• Workload: Full-time
• Languages: German (B2+) and English (B2+)

Responsibilities

• Develop and enhance the GDPR Orchestrator using Apache Airflow and Azure Data Factory
• Integrate new enterprise systems into the end-to-end data deletion process
• Implement new GDPR-compliant deletion scenarios across existing systems
• Optimize data deletion workflows and overall process efficiency
• Reduce technical debt and improve maintainability
• Advise the team on enhancements related to Snowflake and data selection strategies
• Collaborate with technical and business stakeholders to deliver reliable data solutions

Requirements

• Strong commercial experience with Azure Data Factory
• Strong experience with Apache Airflow
• Advanced SQL skills
• Solid understanding of Data Warehousing concepts
• Experience designing and optimizing ETL/ELT pipelines
• Good communication and stakeholder management skills
• Self-driven, organized, and proactive working style
• German – B2 or higher
• English – B2 or higher

Nice to Have

• Experience with Snowflake
• Experience with GDPR compliance and data deletion processes
• Experience working with enterprise data platforms
• Knowledge of cloud-based data architectures

Our Hiring Process

• Intro Call with Recruiter
• Technical Interview
• Client Interview
• Offer Stage

What We Offer
Culture & People-First Approach

• 💙 On average, team members stay at Acropolium for more than 5 years
• 🤝 Strong internal communication & empathy — we're human-first, KPI-second
• 👨‍👩‍👧‍👦 Family values & social engagement are encouraged
• 👋 Warm onboarding and supportive team environment
• 🗣️ Open communication, feedback culture, and support for individual growth

Employee Well-being & Development
 

• 🎖️ Ongoing care and support for employees serving in the military
• 📚 Learning culture with internal knowledge sharing and support for external courses
• 🧭 Personal Development Plans (PDPs) to support long-term career growth