Задачи: эксплуатация и развитие Kubernetes-инфраструктуры — инсталляция и сопровождение сторонних продуктов (базы данных, аналитические системы, интеграционные API и др.), поддержка бизнес-приложений в production, консультации команд по конфигурации и эксплуатации сервисов в k8s;
Location: Intellias
Meet your recruiter
Kateryna Zemetska
kateryna.zemetska@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Senior
Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine
Remote
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We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer.
What project we have for you
Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.
As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.
What you will do
Perform the end-to-end delivery of one or more priority data domains on Azure Databricks.
Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering.
Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies.
Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards.
Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD
Write automated tests and documentation
Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy.
What you need for this
6+ years of data engineering experience, with at least the last three years on Databricks in production.
Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles.
Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon.
Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns.
Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control.
CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent).
Fluent working English.
Nice to have
Active Databricks certifications
Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers
CDMP DAMA certification or equivalent data governance credential.
Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Databricks
Location: Milan
Build with us
Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.
We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver.
If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.
Your impact
The Infrastructure Governance team within the developer enablement domain sits at the heart of Mollie's infrastructure. We own and maintain Terraform as our IaC system and play a crucial role in ensuring our infrastructure is highly reliable and compliant with industry standards like PCI-DSS, sitting directly in the critical payment path and communication layer between external works and our platform. We also manage critical components that support all of Mollie’s infrastructure. That means what we build and maintain isn't just technical infrastructure; it's the foundation that keeps payments moving safely and reliably for hundreds of thousands of businesses across Europe.
As a Platform Engineer on this team, you'll be working on Mollie's Cloud Platform (MCP), our flavour of GCP, enabling product teams to create real value. Your work will span critical cloud infrastructure, automation, observability, and system reliability. You'll collaborate closely with system and software engineers, and interface with teams across compute, database engineering, edge, and networking. The impact is immediate and tangible: the systems you build and maintain keep Mollie's payments running.
This is a role for someone who cares about quality for engineers and non-engineers alike and who brings a genuine passion for automation, distributed systems, and getting things right at scale.
What you’ll ship
- Design, build and maintain critical cloud infrastructure on GCP including Load Balancers, VPC, CDN, cross-region routes, and API Gateway, that keeps Mollie's payment systems running reliably.
- Drive automation across the platform using Go and Python, reducing manual toil and building systems that scale without friction.
- Own and evolve infrastructure as code using Terraform, managing a broad set of infrastructure resources with consistency and confidence.
- Set up and maintain observability across team-owned projects, using tools like Datadog, Google Cloud Logging, and Sentry. So issues are caught early and resolved fast.
- Collaborate with stakeholders to define, set and maintain SLOs and SLAs that meet the needs of our business and our merchants.
- Ship new products and platform improvements alongside system and software engineers, balancing speed of delivery with a high bar for reliability and security.
What you’ll bring
- Extensive hands-on knowledge of GCP and public cloud infrastructure. You're comfortable owning critical systems at scale
- Solid experience with Terraform and infrastructure as code. You think in systems and know how to manage infrastructure with precision
- Strong Kubernetes experience, you understand how to run and operate containerised workloads in production environments
- Proficiency in Python, you can write automation and tooling that makes the platform easier to operate and extend
- A track record of working in environments where reliability and security aren't afterthoughts. You know how to balance shipping fast with keeping systems well-operated and monitored
- A passion for automation and distributed systems. You default to building scalable, repeatable solutions rather than one-off fixes
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you.
Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like.
AI at Mollie
We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us.
Please apply with your CV in English
Kindly note that relocation or visa support is not offered for this role.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
The PlayStation Store and Commerce platform sits at the center of how millions of players around the world discover, purchase, and engage with PlayStation content. Our Technical Operations organization is responsible for ensuring these experiences remain highly available, resilient, performant, and ready to support some of the largest entertainment launches in the world.
We are looking for a Senior Engineering Manager to lead our Discover Operations (Site Reliability Engineering - SRE) and Sustainability Engineering teams, combining SRE, operational excellence, and full-stack software engineering to improve both the day-to-day reliability and long-term sustainability of the PlayStation platform.
As Senior Engineering Manager, you will lead a team of Site Reliability and Software Engineers responsible for the reliability, resilience, and sustainability of critical services supporting the Discover experience across the PlayStation ecosystem and beyond.
Your teams will partner closely with product engineering, architecture, security, program management, and other technical operations teams to ensure our platforms are prepared for both everyday customer demand and major global business events.
This role goes beyond traditional production operations. You will help evolve how we operate our platforms, moving from reactive support toward proactive, data-driven, and increasingly adaptive operations leaning into the latest technology trends such as machine learning and AI.
You will also lead our Sustainability Engineering efforts, leading full-stack development teams to modernize and sustain critical customer experiences across PlayStation platforms while reducing operational complexity, technical debt, and long-term risk.
What You’ll Be Doing:
Own the reliability, availability, performance, and operational health of customer-facing PlayStation Store platforms, including Catalog, Entitlements, Search, and Storefront experiences.
Establish and evolve SRE practices across observability, SLOs, capacity, resilience, automation, incident management, and operational readiness.
Partner with development teams to build reliability and operability into the software lifecycle, improving production readiness and reducing operational risk.
Lead operational readiness for major launches, seasonal events, and high-traffic business moments, ensuring platforms are tested, scaled, monitored, and prepared.
Drive continuous improvement through incident learning, automation, and systemic remediation, reducing operational toil and improving platform resilience.
Lead Sustainability Engineering and modernization efforts, addressing technical debt, lifecycle management, and legacy technology retirement.
Leverage telemetry, operational data, and emerging AI/ML capabilities to identify risk and advance proactive, adaptive operations.
Develop engineering roadmaps balancing immediate operational needs with long-term reliability, modernization, and sustainability investments.
Recruit, mentor, and develop engineers and engineering leaders while fostering a culture of ownership, technical excellence, continuous improvement, and customer focus.
Build strong cross-functional partnerships and clearly communicate technical health, risk, priorities, and investment needs to engineering and senior leadership.
What We’re Looking For:
Significant experience leading software engineering, SRE, production engineering, or technical operations teams supporting large-scale distributed systems.
Demonstrated experience managing and developing high-performing teams, including line managers, senior, and staff-level engineers.
Strong understanding of SRE principles and practices, including availability, SLOs/SLIs, observability, incident management, capacity planning, resilience, and automation.
Experience operating high-volume, customer-facing platforms where reliability and performance directly impact customers and the business.
Strong technical background with the ability to engage with engineers and architects on system design, scalability, reliability, and operational tradeoffs.
Experience partnering with software development teams to improve operability, production readiness, and resilience throughout the software lifecycle.
Proven ability to lead through complex production incidents and drive systemic improvements through post-incident learning.
Experience developing and executing multi-quarter technical strategies and engineering roadmaps.
Strong communication and cross-functional leadership skills, with the ability to translate complex technical issues and risks for technical and executive audiences.
Experience with cloud-native technologies such as AWS, Kubernetes, Terraform, CI/CD platforms, and modern observability tooling.
Nice to Have:
Experience supporting commerce, e-commerce, payments, digital storefronts, or large-scale consumer platforms.
Experience leading modernization or Sustainability Engineering programs for mature or legacy platforms.
Experience designing or operating multi-region, highly available distributed architectures.
Familiarity with security, compliance, vulnerability, and operational risk management at scale.
Experience applying AI/ML, intelligent automation, or advanced analytics to operational engineering challenges.
Experience preparing platforms for major global events and unpredictable traffic patterns.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
— Описать инфраструктуру и зависимости сервисов, подготовить целевую архитектуру, план работ и оценку расходов. — Организовать изоляцию сред разработки, тестирования и production, сетевые доступы и управление секретами.
УдалённоseniorГеография найма не уточнена, офис: Москва
Задачи:
— Разработка и поддержка функционала мобильного приложения на React Native, веб-панелей на React с TypeScript и бэкенда на Go
— Использование AI-агента в IDE (VS Code) для написания, рефакторинга и отладки кода
— Интеграция фронтенда с REST API бэкенда
— Участие в код-ревью, написание понятного и поддерживаемого кода
— Деплой и мониторинг сервисов в облаке AWS
— Документирование выполненной работы и поддержание истории изменений в актуальном состоянии
Требования:
— Базовые знания нескольких технологий из стека: React Native, Go, React, TypeScript
— Знания AWS (EC2, ECS, S3, чтение логов)
— Уверенное владение VS Code
— Опыт работы с AI-агентами в IDE (Claude Code, Cursor, Copilot и др.)
— Навыки постановки задач агенту, проверки и доработки результатов
— Опыт работы с Git (commit, push, branch, pull request)
— Английский язык на уровне чтения технической документации
— Желание быстро обучаться и осваивать новые технологии
Будет плюсом:
— Знания PostgreSQL / SQL
— Опыт работы с Docker, CI/CD (GitHub Actions)
— Опыт работы с Terraform и инфраструктурой как код
— Понимание REST API, WebSocket
— Опыт публикации мобильных приложений в App Store / Google Play
Условия:
— Работа над современным проектом с AI-first процессом разработки
— Сильная команда и менторство
— Реальная зона ответственности с первого дня
— Зарплата от 6 000 000 сум в месяц на испытательный срок с возможным ростом до 8 000 000 сум
— Бонусы по результатам работы от 50 до 200 долларов после испытательного срока
— Опционы после квалификационного периода от 100 до 200 долларов
— Влияние на развитие быстрорастущей e-commerce платформы нового поколения
— Культура, ценящая любознательность, ответственность и инициативу
Location: Malta
The Wow
We are looking for an experienced DevOps Engineer to join our growing engineering team. As the DevOps Engineer Team Leader, you will be responsible for building, deploying, and continuously monitoring software projects using CI tools. You will also create and maintain infrastructure as code using Ansible and Terraform. In this role, you will have the opportunity to keep up to date with the latest technologies in the field and drive their adoption within the organization. Additionally, you will play a key role in helping to transform our organization towards an engineering culture.
Key Responsibilities
Lead and manage a team of DevOps engineers
Build, deploy, and continuously monitor software projects using CI tools
Create and maintain infrastructure as code using Ansible and Terraform
Keep up to date with the latest technologies in the field and drive their adoption within the organization
Help to transform the organization towards an engineering culture
Provide technical guidance and mentorship to team members
Collaborate with cross-functional teams to ensure the successful delivery of software projects
Requirements
5+ years of experience as a DevOps engineer
3+ years of experience leading and managing a team
Strong experience with CI/CD tools such as Jenkins, GitLab, or CircleCI
Proficiency with Ansible/Terraform for infrastructure as code
Experience with cloud infrastructure (e.g. AWS, GCP, Azure)
Nice to Have
Experience within the online gaming or iGaming industry.
Knowledge of security best practices and DevSecOps principles.
Experience managing high-availability, distributed systems.
Familiarity with GitOps workflows and modern cloud-native architectures.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: PL
Workplace: remote
Overview:
Infrastructure engineering with security embedded across the entire technology stack, including CI/CD, Kubernetes, cloud environments, secrets management, and access control.
Key responsibilities:
Core
Responsibilities
Integrate security checks into CI/CD pipelines, including dependency, container image, Infrastructure as Code (IaC), and secret scanning
Harden servers, Kubernetes clusters, and cloud environments in accordance with CIS benchmarks
Manage secrets, certificates, and the PKI lifecycle using Vault
Manage access control (SSO, IAM, least privilege) and conduct regular access reviews
Track and remediate vulnerabilities, coordinating patching activities across development and infrastructure teams
Support security incident investigations, incident response, audits, and compliance activities
Enforce Kubernetes runtime and policy security, including RBAC, network policies, Pod Security Standards (PSS), and Kyverno/OPA
Infrastructure
Responsibilities
Set up and maintain production and staging infrastructure, including updates and incident resolution
Improve infrastructure setup and maintenance processes
Support and develop GitLab CI pipelines
Contribute to the design of complex IT systems
Collaborate with product development teams and stakeholders
Handle monitoring events, including periodic day and night on-call duties
Required Experience:
3+years of experience as a System Engineer, SRE, or DevOps Engineer
Solid Linux administration and troubleshooting skills
Experience with configuration management tools such as Ansible, SaltStack, Terraform, or Pulumi
Experience with Kubernetes and Helm
Experience configuring GitLab CI/CD pipelines
Experience with Anti-DDoS solutions, WAF, and WAAP (Cloudflare, Fastly, Akamai, etc.)
Experience with monitoring tools (Prometheus stack, Zabbix)
Strong understanding of information security fundamentals, including least privilege, defense in depth, network security, and TLS/PKI
Experience with secrets management solutions such as HashiCorp Vault or similar
Strong problem-solving skills
Higher technical education
English level B1+ and strong command of Russian
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
We are seeking a Senior DevOps Engineer to join a global fintech organization, working remotely within UTC+2 to UTC+4 time zones. The role involves developing and managing existing infrastructure and CI/CD pipelines utilizing GitLab CI and ArgoCD, supporting application deployments across testing and production stages, and implementing monitoring and logging systems to assist in incident analysis. Candidates should have over seven years of experience in DevOps, with strong practical skills in AWS SDK, Kubernetes, Docker, and Terraform. Familiarity with Helm, GitOps, and monitoring solutions is required, along with solid knowledge of Linux, networking, and scripting in Shell or Python. Proficiency in English at the C1 level is necessary. Additional experience in DevSecOps, Ansible, or Go is considered advantageous.
УдалённоseniorWork format: Remote (UTC+2 to UTC+4) time zones
Location: Tbilisi, Georgia
Workplace: none
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
The HUB SRE team is responsible for the reliability of the most critical and high-load services in the market data delivery layer, which carries real-time and historical data from data feeds to clients.
We are migrating HUB services to Kubernetes with Argo CD/Helm and turning repeatable work into automation and self-service. It is a great time to join and help shape how we work.
Responsibilities
Build deep expertise in how HUB behaves as a system and engineer the risks away. This covers the data path, its dependencies, failure modes (shard loss, warm-ups, streaming lags, reconnect storms, cascading failures), performance bottlenecks and single points of failure.
Define SLIs based on what HUB clients actually experience, work with development teams to agree on SLOs, and build the dashboards that track them. The goal is to make reliability measurable and manageable.
Build and maintain HUB monitoring rules for every service: SLO-based alerts, alert routing by team and service labels, escalation paths, and requirements for metrics and logs. Get rid of noisy alerts and close monitoring blind spots.
Migrate HUB services to Kubernetes and Argo CD. This includes stateful streaming services that must not drop client connections: graceful draining, controlled reconnects, warm-up, readiness checks and local storage.
Join design reviews, run Production Readiness Reviews, review rollout changes for reliability impact.
Prepare and run disaster recovery drills for HUB
Take part in the weekly on-call rotation: respond to incidents, run blameless postmortems, see action items through and eliminate recurring causes.
Work with the code of HUB services to fix reliability issues together with dev teams, using AI-assisted tools.
What makes you the perfect fit
Proven experience as an SRE or Production Engineer running high-load production systems
A strong technical background in backend systems, Linux, networking and distributed systems.
Production experience with Kubernetes (probes, graceful shutdown, resource management, stateful workloads), Helm, and GitOps with Argo CD or similar.
Experience building observability: monitoring, alerting, distributed tracing and informative dashboards (Prometheus, Alertmanager, Grafana, OpenTelemetry)
A solid understanding of CI/CD and safe delivery for complex multi-service systems: staged rollouts, canary checks and automatic rollback
Hands-on incident management: on-call, structured response, blameless postmortems and systemic improvements after incidents
Excellent communication skills and the ability to influence other teams without formal authority
Will be a plus
Experience with real-time streaming and long-lived connections: graceful draining, mass reconnects, backpressure.
Performance engineering: profiling, load testing, bottleneck analysis.
Infrastructure-as-Code tools (Terraform, Ansible, Puppet).
Experience with Go.
Production experience with PostgreSQL, Kafka, ClickHouse.
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Bangalore
Workplace: hybrid
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
The Role
You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers.
Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer.
You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you.
What You'll Do
Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains.
Build backend data services and loaders in Go and Python.
Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries.
Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes.
Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform.
Investigate hard performance and reliability problems and see them through to resolution.
Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs.
Help set technical direction through architecture discussions, design reviews and code reviews.
Mentor engineers and help set strong engineering and operational practices.
What You Bring
5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on.
Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows.
Go for backend services. You have built and run high-throughput services or data loaders in Go in production.
ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning.
Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost.
Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency.
Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine.
An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.
Nice to Have
Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC.
Graph or distributed key-value stores: entity resolution or clustering on large graphs.
Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design.
Experience building platforms that serve multiple data sources, datasets or product teams.
AI-assisted development, and experience in fintech, compliance or AML.
How We Work
You'll join a small, senior team where everyone owns their work end to end.
We make decisions based on measured evidence, not opinion.
We keep design notes and runbooks next to the code.
We test at production scale and run blameless post-incident reviews.
We use AI coding tools every day, and we use judgement when reviewing what they produce.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: Poland
Workplace: remote
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:
The person in it owns the product direction and execution of the Engineering Platform, treats Creatio engineers as customers, and is measured by how reliable, self-service and automated the platform becomes, not by how well the backlog is groomed.
Responsibilities:
Platform reliability. Own SLOs for platform services. Turn incident and problem data into a preventative roadmap. Over time, incidents should become rarer, shorter, and less repetitive. We track the trend, shared with all the stakeholders.
Standards and golden paths. Define, with Tech Leads, the paved roads for new services, pipelines, environments and testing. Make the paved road the easiest option, then measure adoption. Guide teams on industry best practice. Retire custom (not optimal) setups.
Security posture of the platform. Own patch and vulnerability remediation SLAs for platform components. Make software updates a background process (automated updates, dependency bots, image rebuilds), not a periodic project.
Toil removed. Quantify manual work across provisioning, pipelines, ops requests, onboarding and patching. Eliminate it in order of impact, preferring self-service and automation over faster ticket handling.
DX measurements. Take the existing signals (build time, provisioning time, developer surveys) and build them into a coherent, published scorecard that Engineering leadership uses to steer investment.
Product Goals: Formalizing Product Goals, Deliverables breakdown and tracking, execution and adoption tracking.
Problem Management: cases review; Defining and prioritizing Problems.
Requirements:
Several years building or operating developer platforms, DevOps or SRE tooling in an organization of 20+ engineering teams, followed by a product, lead or staff-level role owning direction for such a platform.
A builder's background: has personally written and operated CI/CD pipelines, infrastructure-as-code and automation. Still reads code and pipeline definitions fluently, reviews designs, prototypes when needed, but chooses to delegate the build.
Working knowledge of: containers and Kubernetes; CI/CD systems (TeamCity, Jenkins, GitHub Actions or similar); IaC (Terraform, Ansible or similar); Windows and Linux automation; cloud and on-prem infrastructure; secure SDLC and vulnerability management.
Track record of eliminating manual work at scale: can describe a class of toil they removed, how they measured it and what the second-order effects were.
Practical experience applying AI tools and agents to engineering workflows, and a point of view on where they help and where they do not.
Product craft: discovery with internal users, outcome-based roadmaps, prioritisation under constraint, clear written decision records.
Influence without authority: has changed how engineers work across teams they did not manage.
English B2 or higher, written and spoken; clear, concise writing is essential.
Experience defining and operating Developer Experience and platform metrics (DORA, SPACE, DevEx frameworks) and using them to drive investment.
Experience with SLO-based reliability practice and blameless post-incident process.
Experience with policy-as-code, software supply chain security and automated dependency management.
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.
Сейчас мы расширяем штат и находимся в поиске DevOps инженера для поддержки и развития сервисов Дата-аналитики. предотвращать и устранять сбои в ИТ-системах;
Сейчас мы расширяем штат и находимся в поиске DevOps инженера для поддержки и развития сервисов Дата-аналитики
Инженерные и платформенные задачи (60–70% времени): проектировать и разрабатывать инструменты для управления парком баз данных — развивать управление инстансами в сторону Kubernetes-операторов вместо статического Terraform-кода, переработать систему наполнения дев-стендов, заниматься подготовкой и обезличиванием данных.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
Senior Cloud Security Engineer
Join our existing R&D Security team as Aidoc's first dedicated Cloud Security Engineer. You will shape cloud security standards, assess attack paths across AWS and Kubernetes, and turn findings into adopted controls with DevOps and workload owners. This is a hands-on role in security assessment, automation and verification, working alongside security leadership and SecOps.
We run AWS services, use Terraform and AWS CDK, and build through CI. Cloud security scanners provide AWS configuration visibility; runtime coverage across our compute environments needs assessment and expansion. Our scope also includes cloud connections to Aidoc applications deployed inside hospital networks.
Responsibilities
Assess AWS architecture and attack paths involving IAM role trust and permissions, networking, storage, encryption and secrets access. Recommend baselines and help engineering adopt controls appropriate to the workload.
Review Kubernetes security across access to the Kubernetes API, AWS access for workloads, admission controls, container settings and network isolation. Validate that controls work in the deployed environment.
Assess EC2 host and workload security and Lambda function security, including credential access and data protection. Review Lambda execution-role permissions and permissions to invoke functions as separate controls.
Review Terraform and AWS CDK changes, build preventive checks in CI, and verify deployed controls. Develop security automation in Python or shell and reusable guidance with infrastructure owners.
Assess cloud security scanner coverage and finding quality, validate exposures using configuration and runtime evidence, and define improvements with SecOps and DevOps. Drive agreed remediation and verify risk reduction.
Assess cloud-side access and connectivity for Aidoc applications in hospitals with AppSec, product teams and hospital IT. Help plan appropriate visibility for these deployments.
Plan control validation with engineering around clinical service availability. Track control adoption and recurring risks, support SecOps investigations, and provide technical evidence to Quality and Regulatory partners.
Requirements
5+ years of relevant experience in Cloud Security, Infrastructure Security, DevSecOps, DevOps or SRE, including hands-on production security improvements.
Built or substantially improved a cloud security practice: assessed risks, improved controls and coverage, gained engineering adoption, and verified remediation.
Strong practical AWS security across IAM, networking, storage, encryption, logging and workload access; ability to investigate and explain attack paths.
Hands-on production Kubernetes security experience, with sound Linux and networking fundamentals and an understanding of EC2 and serverless security boundaries.
Ability to review infrastructure as code in Terraform or AWS CDK, transfer that knowledge to the other framework, and build security automation and CI checks in Python or shell.
Clear communication in English and practical judgment about testing, staged rollout, rollback and verification of security changes.
Useful additional experience
Experience using cloud security scanners, Wiz, Upwind or comparable cloud and runtime security platforms to improve coverage and validate findings.
Policy as code, workload identity or security controls for build and deployment pipelines.
Customer-deployed software, hospital connectivity or other regulated environments with sensitive data.
Bring depth in AWS and Kubernetes and evidence that your security improvements reached production. You can learn about our specific tooling and healthcare domain here.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: India; Pakistan; Morocco; Taiwan; Vietnam
We are growing! We are currently looking to hire a
Data Engineer - Web Scraping
to work with us remotely on a
3 months contract.
Who we are:
Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of
data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.
The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.
We are passionate about delivering impact.
Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.
What you will be doing:
Maintain and manage website scraping configurations using Python.
Monitor scraping configurations for errors and potential crashes.
Oversee retrieved data to detect potential issues and blockages.
Coordinate with stakeholders to understand scraping task requirements and report issues.
Prepare and share periodic reports on scraping activities with stakeholders.
Develop necessary pipelines to ingest data into the Datalake and perform required transformations.
Requirements
What you will bring along:
Proven experience in data engineering with expertise in designing and implementing scalable data architectures.
Strong experience with ETL processes, data modeling, and data warehousing (Airflow & DBT preferred).
Expertise in database technologies, both relational (SQL) and NoSQL.
Knowledge of cloud platforms, particularly Azure.
Solid understanding of data security measures and compliance standards.
Excellent Python experience for data engineering and automation.
Strong collaboration skills to work closely with data scientists and analysts.
Ability to optimize data pipelines for performance and efficiency.
Ability to build, test, and maintain tasks and projects.
Experience with version control systems, such as Git.
Hands-on experience with Airflow and/or DBT.
Experience with Terraform for infrastructure management.
Minimum 2 years of experience in a similar role.
Strong academic background in a relevant field.
Fluent in English (French is a plus).
УдалённоIndia; Pakistan; Morocco; Taiwan; Vietnam
Milan; Kindly note that relocation or visa support is not offered for this role
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorTbilisi, Georgia; Relocation support and private health insurance
ГибридseniorBangalore; You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve