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Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We're looking for an Infrastructure Security Engineer to secure complex multicloud infrastructure, which runs mostly on Kubernetes. You'll join the security team as a hands-on engineer who builds, not just reviews: security processes, automating checks and working side by side with a team of skilled professionals. InDrive is an AI-friendly company. We use AI tools in daily engineering work and encourage you to use them to automate security operations, speed up reviews and build better tooling. Key Responsibilities Build, maintain and evolve the security of our multicloud environment, Kubernetes clusters and CI/CD systems. Build and maintain vulnerability management processes using commercial and open-source tools, and help engineering teams drive remediation. Contribute to the architectural design of infrastructure services, bringing security expertise across the full lifecycle, from design to production. Run regular security assessments and hardening reviews, and turn findings into secure baselines and guardrails. Automate security checks and operations with code, and use AI-assisted tooling where it makes the team faster. Work with SIEM and monitoring to improve detection coverage for cloud and Kubernetes workloads. Take part in incident response for cloud and Kubernetes environments. Skills, Knowledge and Expertise 3+ years of hands-on experience in infrastructure security, including vulnerability management across cloud and on-prem environments. Strong proficiency with cloud platforms (AWS or GCP) and with Kubernetes: applying security best practices for a high-load production infrastructure. Strong knowledge of IaC tools (Terraform, Terragrunt, Ansible), GitOps (ArgoCD), and CI/CD pipeline security (e.g. GitHub Actions). Understanding of risk based approach to vulnerability management and Cybersecurity in general Automation skills in Python or Bash. Understanding of Zero Trust principles and experience securing remote access with ZTNA solutions. Experience with SIEM solutions. Good written and spoken English. Nice to have Certifications: CKS (Certified Kubernetes Security Specialist) and/or AWS Certified Security – Specialty. Experience with Kubernetes security tooling: policy engines, runtime security and network policies. Hands-on experience with AWS native security services (GuardDuty, Security Hub, IAM Access Analyzer, CloudTrail). Hands-on incident response experience in cloud or Kubernetes environments. Familiarity with secret management tools (e.g. HashiCorp Vault, AWS Secrets Manager). Experience using LLMs or AI agents to automate security workflows Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 80 000 EUR gross Final benefits may vary depending on the location.

Block Earner is looking for a Senior Backend Engineer to design, build, secure, and operate Java backend services on AWS.

Location: London, England About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you’ll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality. Day-to-day in this role you’ll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Arlington, VA, United States Job Title Cyber Virtualization Engineer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Arlington, VA Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description SITE 525 is seeking a highly skilled Cyber Virtualization Engineer to support the development and sustainment of advanced cyber training environments. This role involves hands-on engineering of secure, scalable, and AI-enabled virtual ranges that emulate realistic, adversarial network conditions across IT and OT domains. These environments are used for cyber mission rehearsals, red/blue/gray team operations, and full-spectrum cybersecurity exercises. Must be willing to travel up to 25%. Responsible for designing, deploying, and maintaining advanced virtualized training environments that replicate realistic, large-scale, and adversarial network conditions. This position focuses on engineering and integrating dynamic, hypervisor-driven platforms and virtualization technologies to support cyber mission rehearsals, red/blue/gray team operations, and full-spectrum training exercises. Key Duties Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures. Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments. Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines. Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges. Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response. Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures. Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments. Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls. Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments. Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations. Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments. Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation. Relevant Technologies & Tools: Virtualization & Hypervisors: VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack Virtual Infrastructure Management: VM lifecycle management, snapshotting, cloning, orchestration frameworks Cloud & Containerization: Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments Networking & SDN: Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools Automation & IaC: Infrastructure-as-Code (Terraform, Ansible, Packer, Helm, Nomad ), CI/CD integration for infrastructure Performance & Observability: Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation Security in Virtualized Environments: Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges Cyber Range Engineering: Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation Traffic Simulation & User Emulation: Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents Compliance & Assurance: NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls Monitoring & Control Interfaces: Custom dashboards for exercise operations, centralized scenario orchestration Requirements Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field. 5+ years of experience in cyber engineering, network operations, or cyber range development. Top Secret security clearance. Proficiency in virtualization, containerization, and cloud technologies. Experience with offensive and defensive cybersecurity tools and frameworks. Familiarity with AI/ML integration in cyber environments. Strong scripting and automation skills (e.g., Python, Bash, PowerShell). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Knowledge of OT systems and protocols. Security certifications (e.g., CISSP, CEH, OSCP) are a plus. Compensation Competitive Hourly Pay Benefits Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Edinburgh, IN, United States Senior Systems Engineer About SITE 525 SITE 525 is at the forefront of delivering cutting-edge training solutions for information maneuver specialists. Our mission is to empower the warfighter with realistic, high-fidelity training environments that simulate the challenges of modern information warfare. SITE 525 is looking for a Senior Systems Engineer to join our team support the Cybertropolis Technology Environment Platform (CTEP). The CTEP provides a one-of-a-kind platform for DoD and Joint, Interagency, Intergovernmental, and Multinational (JIIM) partners to conduct training or Research, Development, Testing & Experimentation (RDT&E) in a wide variety of emerging technology areas, but primarily related to cyberspace and cyber-electromagnetic (CEMA) operations. This position may require the employee to travel within the CONUS and to keep a flexible 40-hour week. This role sits at Camp Atterbury in Indiana and is contingent upon award. Responsibilities: Manage, maintain, troubleshoot, and restore hardware, operating systems, applications, and software including updates, security patches, and backups. Engineer, build, and configure computer networks including routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, SANs utilizing bare metal systems as well as virtualized systems (VMware). Collaborates with others to develop the best way to tackle complex technological infrastructure, security, or development problems. Participates in architecture and software development activities. Tier 2 engineering and administration support for customer events, as required. Working in ambiguous environment and collaborating across multiple areas. Required Qualifications: Windows and Linux enterprise systems engineering and administration experience. Experience working with a wide variety of technology including but not limited to:  Cellular systems, camera systems, Industrial Control Systems, Internet of Things (IoT) devices, building management systems, and radio frequency (RF) communications devices. Meet IAT Level 2 requirements of DoD 8570.1M by holding one of the following: CCNA Security CySA+ ** GICSP GSEC Security+ CE CND or SSCP. Bachelor’s degree in a technical discipline or equivalent experience in network operations Hold or be able to acquire an interim Top Secret clearance within 30 days of hire. Maintain active Top Secret/SCI Security Clearance. Preferred Qualifications: Operational experience in Cyberspace Operations and/or Information Warfare Cellular and Industrial Control Systems engineering and administration experience. Experience with containers and container orchestration services, automation, provisioning, and imaging, with products such as Ansible, Terraform, Kubernetes, Chef, FOG Projects, etc. Exercise design, test and evaluation, modeling, and simulations, as well as research and development familiarity. Computer Skills: Working knowledge of Microsoft Office (Word, Excel, and PowerPoint). Cloud, physical, and virtual network engineering experience required. Experience with hypervisors such as VMware, CypherPath, KVM, etc. Benefits eligibility may vary based on project site or contract but typical benefits are listed below.

Location: Armenia, Remote/Armenia Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Portugal, Remote/Portugal Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Spain, Remote/Spain Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Belgrade, Remote/Serbia Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Kazakhstan, Remote/Kazakhstan Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performance, implement changes, and apply new patches and versions when required. Optimize queries for performance. Collaborate with development teams to optimize database usage. Set up and maintain database replication, clustering, mirroring, and other high availability strategies. Use and understand tools like PgBouncer and modern monitoring systems. Stay up to date with the latest database technologies and best practices. What you’ll bring: Proven hands-on experience with PostgreSQL (required), including setup, replication, upgrades, monitoring, and performance tuning. Ability to write and optimize complex SQL queries. Experience with backup and recovery strategies, including Point-in-Time Recovery (PITR). Strong understanding of database design, documentation, and development best practices. Experience with ClickHouse is a plus. Working knowledge of scripting/programming languages such as Bash, Python, or Go. Experience managing DBaaS solutions on cloud platforms (GCP or AWS is a plus). Experience migrating large databases across cloud platforms. Familiarity with modern DevOps practices, including Kubernetes, Terraform, and Helm. Experience with real-time data streaming technologies such as Debezium or Flink. Relevant certifications or formal training in database management are a plus. Strong problem-solving skills and excellent communication abilities. Professional proficiency in English (B2 level or higher). What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Location: Berlin, Germany About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you’ll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality. Day-to-day in this role you’ll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career pat 🛠️ THE STACK Python services on FastAPI, async SQLAlchemy and PydanticAI, Temporal for durable execution, PostgreSQL, MCP, Daytona sandboxes, various LLM model providers, Terraform on AWS, React with Vite. Our main backend is a Flask monolith. We deploy daily and believe in distributed ownership: you build it, you own it. 🤖 THE AGENTIC PLATFORM AREA In 2027, we expect to run more AI agents than we have employees. Agents already do real work at Alan. They answer members' health questions, resolve support requests, read medical documents, detect fraud, automate operational tasks, and write a large share of our code. But every team building an agent ends up solving the same hard problems again: how to call models safely with health data, how to give an agent tools and the right permissions, how to know whether a prompt change made it better or worse, how to debug what it did. The result: several agent frameworks and evaluation stacks, each with its own security and compliance story. The Agentic Platform area was created to fix that. Our mission: make it cheap, fast and safe for every Alaner or crew to build, run and improve agentic products and workflows. We own the environment agents run in (infrastructure, runtime, evaluation, observability, skills lifecycle), with security, privacy and compliance by design, and the generalist products on top: Hopper and the Agent Studio. Product teams and all Alaners own their agents, skills, and their outcomes. We give them the paved road. Two crews, one team: - Hopper is every Alaner's AI companion. Five months after it started, 80% of Alaners use it, 3k sessions are created each day, and about 30% of our pull requests are opened from it (watch how we built it https://www.youtube.com/watch?v=hAu7Ngfd0ys). - AI Product Platform builds the shared blocks every AI product at Alan runs on. For instance, our ops teams now build agents autonomously on our Ops AI Platform (read how https://medium.com/alan/how-we-bootstrapped-an-ai-agents-platform-for-operations-at-alan-fefd87ed6314, watch the talk https://www.youtube.com/watch?v=_pg1ij8k5Rw). 🧩 PROBLEMS YOU'LL ONLY FIND HERE Run agents at scale - 🧠 One runtime for every AI product. A shared agent framework, from a single model call to multi-agent workflows with live streaming, and one gateway to every model: routing, failover across providers, quotas and cost per use case built in. - ⏳ Agent sessions that last for hours. Durable sessions, started from the web, Slack, Linear or GitHub, that survive pod restarts and deploys, and pick up exactly where they left off. - 📦 Sandboxes at scale. An isolated environment for every agent session and every evaluation, on an infrastructure compliant with sensitive data, with negligible boot overhead. Make agents trustworthy and proactive - 🔌 One tool gateway to the whole company. An MCP gateway that connects agents to internal tools and data, external services, computer use, managing identity and credentials. - 🔐 Agents safely acting on critical data. We give each agent no more than the access it needs. Every tool call goes through identity, permissions, confirmations and audit. No sensitive data leaks. - 🧪 Evals you can replay in time. Re-run an agent or skill against production as it was at a past point in time, on real data, safely isolated. Anyone can ship knowing their change is an improvement rather than a regression. - 🔁 Agents and skills that proactively fix themselves. Every run is traced, and every human correction, failed tool call or escalation becomes a prioritized fix that Hopper can apply. Put agents in everyone's hands - 📚 Skills as a product. A registry where Alaners and teams publish, share and version their skills, so that nothing needs to be repeated twice. - ✨ AI that non-engineers can own. Alaners who ship code through Hopper, Operators or Sales who build their own agents or skills in our Studio and operate them from their day-to-day tools. - ⏰ Automations and artifacts. Agents that run on a schedule or on an event, and build the dashboards and hosted sites that become the go-to places for collaboration. ⭐ IS IT YOU WE’RE LOOKING FOR? What you'll do - Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality - Work closely with the people who use what you build: Alaners, product teams, ops - Own reliability, cost and security in production - Mentor engineers, contribute to our product and engineering culture, and help build the team Experience we value - 3+ years in software engineering, with solid backend fundamentals - Platform-leaning or product-leaning: both are welcome. Depth in at least one of: distributed systems and runtimes, evaluation and data quality, security and authorization, product UX - A good sense of user and developer experience, whatever you build - You built products, platforms or infrastructure used by other people - Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus; ML or MLOps experience is a plus Mindset we value - You measure success by adoption, not by what is available - You make concrete tradeoffs between speed, reliability, cost, security and user experience - You simplify complexity with clear abstractions and maintainable code - You care about whether people can understand and verify what an AI system did - You keep up with the latest AI technology and know the open-source AI ecosystem - Self-directed, pragmatic, humble, collaborative, enthusiastic about learning and teaching - Excited about AI changing who can build, investigate and automate work Above all, we look for high potential and curiosity: make sure to show us this when you apply. Everything else is a bonus. You should be fluent in English (no French required). 🌍 HOW WE WORK - Location: you must be legally eligible to work in France, Belgium, or Spain. - Remote work: we offer remote work flexibility, but we value in-person collaboration. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents.   IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Poland; Warszawa, Польща On behalf of CloudTech Client #1 , SD Solutions is looking for a talented Senior DevOps Engineer - MSP to design, build, deploy, and maintain complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. As a Senior DevOps Engineer, you will be responsible for architecting, maintaining, and evolving AWS cloud infrastructures, implementing and optimizing monitoring and alerting, troubleshooting issues, and developing automation to improve efficiency and reliability across environments. At AllCloud, our DevOps Engineers work with the latest and most advanced technologies. Some of the stacks we master daily for our customers include AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big Data, IoT, and more - all while occasionally enjoying a game of 8-Ball or Nintendo Switch to keep things fun and collaborative. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Design and implement tailor-made cloud architectures based on customer needs. Manage multiple customer environments while adhering to industry best practices. Act as a trusted technical advisor to customers, ensuring alignment with business goals. Deploy advanced cloud services and automation solutions. Implement and maintain infrastructure automation and configuration management tools. Maintain a continuous feedback loop with customers to ensure deliveries meet expectations. Debug, troubleshoot, and resolve complex technical issues. Design, set up, and maintain large-scale monitoring and logging solutions. Requirements: 3+ years of hands-on experience with cloud providers (e.g., AWS, GCP). 3+ years of professional IT experience, with a strong Linux and networking background. Proven experience in a customer-facing role. Experience with security products (e.g., Firewalls, Web Gateways, Proxies). Strong experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.). Familiarity with Agile methodology. Proficiency in scripting with at least two languages: Python, Java, Bash, or PowerShell. Demonstrated creative troubleshooting and problem-solving skills. Fast learner with the ability to adapt to new technologies and domains. Strong foundations in Git and GitFlow methodologies. Experience with CI/CD platforms (Jenkins, CircleCI, CodePipeline, etc.). Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK, Serverless Framework). Knowledge of serverless architectures . Advantages: Experience with system monitoring platforms (Datadog, Prometheus). Experience with centralized logging platforms (ELK / OpenSearch). Familiarity with GitOps methodologies (ArgoCD, Flux). Strong information security orientation. AWS certifications (Associate, Professional, or Specialty). Experience managing production-grade environments. Knowledge of AWS security tools and best practices (Security Hub, AWS Config, WAF, Shield, etc.). Familiarity with AWS Landing Zone and multi-account strategy. CKA / CKAD certifications. Eligible for or holding a security clearance. About the company: A global professional services company specializing in cloud enablement and digital transformation. An accredited partner at the highest tier with leading cloud, CRM, and data platform providers, the company helps organizations connect front and back offices through cloud adoption, data strategy, and analytics — delivering end-to-end managed services and consulting. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: European Union What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote