Вакансии

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. At Halter, data is the lifeblood of everything we build. Every second, collars stream behavioural, location, and health signals from cows in paddocks across the globe. Pair that with remote sensing, grazing data and pasture cover, and you have the foundation for helping farmers make smarter decisions every single day. But that's only one piece. Internally, we rely on production data from our manufacturing floor, field performance data from collars in the wild, and product analytics to shape how we build and scale. ABOUT THE ROLE We're looking for a Data Engineer with strong backend instincts to join our Data Engineering team to build the pipelines that make all of this work together. Day-to-day you'll partner closely with our machine learning, product, and platform teams to design systems that are reliable, observable, and ready for what's next. Whether it's optimising ingestion for billions of daily events, building robust transformation layers, connecting disparate data sources into a coherent whole, or ensuring data quality at scale you'll own problems end-to-end. If you want your work to have a tangible impact on how the world farms, this is the role for you. WHAT YOU’LL BE RESPONSIBLE FOR - Design, build, and maintain scalable data pipelines that move data reliably from source to insight. - Own data modelling decisions: clean schemas, sensible abstractions, and infrastructure that scales with the business. - Work closely with machine learning, product, and platform teams to ensure data is accessible, accurate, and ready when they need it. - Apply AI tools (like Claude Code or Cursor) to improve velocity while keeping pipelines easy to understand and evolve.Champion data quality by building validation, monitoring, and alerting so issues surface before they cause problems downstream. - Help define and evolve data practices and standards across the organisation, balancing pragmatic delivery with long-term maintainability. - Support and mentor other engineers through design conversations, code reviews, and generous context sharing. - Stay hands-on, helping shape not just the plumbing, but the data products that drive decisions.Contribute to the reliability and freshness of our data systems, especially when things get tricky at scale. - Help evolve our testing strategies, CI/CD workflows, and infrastructure patterns for data. WHO WE’RE LOOKING FOR - You have strong experience building and maintaining data pipelines for mission-critical systems, with a solid grasp of batch and streaming patterns.You have a confident understanding of data engineering best practices: modelling, transformation, orchestration, and quality assurance. - You're familiar with cloud infrastructure, ideally AWS. We use Athena, S3, Kinesis, SQS, and SNS, but experience with similar tools translates well. - You understand how to build systems that are observable, testable, and easy to debug - You're a product-minded engineer. You care about why we're building something, not just how. - You embrace ambiguity. At Halter, the problems worth solving rarely come with a clear spec. You're comfortable navigating uncertainty and making pragmatic calls. - You're deeply curious and motivated by impact. Bonus points if you're genuinely interested in agriculture, but what matters most is that you want your work to matter. - You're a highly effective collaborator. You lift the people around you through clear communication, generous knowledge sharing, and a low ego. - Importantly, we're looking for someone who is passionate about what they do and eager to learn. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you’ll work on Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient: QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads Prevent, detect and recover from silent data corruption across memory, networking and storage Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems Experience developing high-performance, low-latency software components Understanding of core dumps, flame graphs and sanitizer-enabled builds Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: Experience designing and developing production-grade distributed storage systems and/or databases Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming Understanding of NVMe, conventional HDD and SMR HDD internals Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA Experience with Kubernetes and Grafana Experience responding to production incidents Knowledge of availability and durability calculations For Senior candidates , we offer hybrid working or the flexibility to work remotely within EU. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Разработка и развитие backend-сервисов на Node.js / TypeScript (NestJS). — Проектирование и реализация API и межсервисных взаимодействий. — Работа с асинхронными сценариями (RabbitMQ). — Использование Redis для кэширования и pub/sub. — Работа с базами данных MySQL, MongoDB, DynamoDB. — Работа с облачной инфраструктурой AWS (эксплуатация и развитие backend-сервисов). — Деплой и эксплуатация сервисов в Kubernetes. — Участие в code review и технических обсуждениях. — Взаимодействие с QA, iOS, Android и Design командами. Требования: — Опыт Backend-разработки от 6 лет (не фриланс). — Опыт Backend-разработки highload сервисов от 2 лет. — Опыт работы с Node.js от 5 лет в продуктовых компаниях. — Опыт работы с TypeScript и NestJS от 4 лет. — Опыт работы от 1 года с гибридным хранилищем: MySQL, Redis, MongoDB, DynamoDB – каждая БД под свою задачу. — Опыт работы с контейнеризацией и оркестрацией: Kubernetes. — Опыт работы с AWS: EKS, RDS, DynamoDB, S3. — Опыт с распределёнными системами: очереди, консистентность, отказоустойчивость. — Опыт использования LLM для работы обязательно. Условия: — Полностью удаленный формат работы (fully remote). — Гибкий график работы. — Оплачиваемый отпуск 28 календарных дней. — 100% оплата больничного. — Работа в продуктовой IT-компании.

Задачи: — Разработка бэкенд и полных стековых решений с использованием Node.js, NestJS, ExpressJS — Участие в outsource и outstaff проектах компании — Активное участие в обсуждении технических решений — Оптимизация, рефакторинг и покрытие тестами уже существующего кода — Проведение code-review вместе с другими коллегами — Осуществление деплоя frontend-составляющей проектов Требования: — Опыт коммерческой разработки от трех лет — Знание Node, Express, Nest — Опыт работы с SQL, MongoDB, PostgreSQL, MySQL, Redis — Знание Supabase, Firebase, JWT — Опыт с Sequelize, Prisma — Знание RabbitMQ, Kafka — Навыки работы с Bash, Linux, Docker, Nginx, Apache — Опыт работы со Swagger — Знание CI/CD, Jenkins — Работа с файловой системой, S3-хранилища — Понимание Multithreading — Владение JavaScript, TypeScript — Навыки работы по agile/scrum — Владение английским языком на уровне B2, русским — свободно — Навыки построения архитектуры проекта Условия: — Удаленная работа с гибким графиком — Своевременная зарплата 1 раз в месяц — Расчет исходя из почасовой ставки специалиста — Возможности для профессионального роста

Задачи: — Разработка и проектирование backend на Python с FastAPI и Django — Разбираться с legacy-сервисами (рефакторинг и распил на микросервисы — 50% времени) — Писать новые фичи (другая 50%) — Проектировать архитектуру — Проводить code review Требования к кандидату: — 5+ лет в backend на Python, уверенное владение Django (DRF) и FastAPI — Опыт проектирования REST API, WebSocket/SSE — Знание async/многопоточности (asyncio/gevent, Celery) — Работа с блокировками/транзакциями, архитектурой данных (нормализация/денормализация) — Глубокое SQL (PostgreSQL/ClickHouse: индексы, партиционирование, views) — Опыт с SQLAlchemy, S3, Redis/RabbitMQ/Celery — Docker, Git, CI/CD (GitLab), приёмочные тесты (pytest) — Понимание микросервисной архитектуры, интеграций (API, брокеры, cron) — Будет плюсом: Настройка серверов (nginx/apache), базовый JS/TS/HTML/CSS (для понимания фронта), Kubernetes, Kafka Условия: — Оформление по ТК РФ — Полная занятость (full-time) — Работа в удаленном формате (MSK timezone)

Location: Paris, Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Remote, US- Chicago MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, creative, and entrepreneurial Sr Regional Sales Manager to drive MinIO’s next stage of growth in the Central Chicago (Chicago/Twin Cities) region. This is a role for a proven seller who can combine technical depth in storage, data infrastructure, data lake/lakehouse, AI/ML, and HPC environments with the ability to close complex $250K+ enterprise deals. The ideal candidate has experience competing against legacy storage solutions, thrives in a startup environment, and brings a mix of creativity, persistence, and technical credibility to win transformative deals. What You Will Do Drive New Business Acquisition : Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals Technical & Vision Selling : Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC not just incremental improvements. Translate technical capabilities into compelling business value. Close Complex Deals : Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+ Compete & Win Against Legacy Software : Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads. Educate & Influence : Teach prospects about AI infrastructure optimization and data architecture modernization, leading them beyond product comparisons to strategic transformation. Quantify Value : Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification. Partner-First Territory Strategy : Build and execute partner-led co-selling strategies, working with channel and alliance partners to expand territory coverage and accelerate deals. Cross-Functional Collaboration : Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful POCs, and create a seamless customer experience. Forecasting & Planning : Maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth. Your Skills and Experience Enterprise Sales Expertise : 7+ years of enterprise sales experience with consistent quota attainment ($1.5M+) and average deal sizes of $250K+. Technical Acumen : Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. Able to engage technical stakeholders and translate technical concepts into business impact. Partner-Led Approach : History of building co-selling strategies with channel and alliance partners to scale market presence. Vision & Thought Leadership : Skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights. Competitive Selling : Proven ability to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition. Startup Experience : Demonstrated success in fast-paced, entrepreneurial environments where creativity and adaptability are essential. Challenger Mindset : Skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities. Network & Territory Expertise : Deep relationships within the territory, including decision makers and influencers who can be leveraged to accelerate business. Communication & Influence : Exceptional presentation, negotiation, and relationship-building skills with both technical and executive stakeholders. Education : BA/BS in computer science, engineering, business, or related field; MBA preferred. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. What your day-to-day will look like: Identify, prioritize and execute tasks in the software development life cycle. Work with business to iterate over software requirements. Develop tools and applications by producing clean, efficient code. Automate tasks through appropriate tools and scripting. Analyze and debug systems. Perform validation and verification testing in a test-driven manner Review the work of others, and invite others to review your work. Collaborate with internal teams and vendors to fix and improve products. Ensure software is up-to-date with latest technologies. Work with distributed computing systems like Apache Hudi and Trino for big data processing. What qualifications we’re looking for: Experience with distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies. Experience with distributed storage systems like ADLS, HDFS, S3, DLT  etc. Familiarity with Hadoop, Spark, Databricks or other distributed computing systems. Understanding of data partitioning and sharding techniques. Knowledge of distributed computing principles and how they apply to large-scale data processing. Experience in writing clean code that performs well at scale using languages such as Python, Java etc. Knowledge of relational databases (e.g. Microsoft SQL Server, MySQL). Solid experience writing RESTful API endpoints. Absolutely love TDD and have working knowledge of it. Proficient in GIT. Experience using system and performance monitoring tools (e.g. New Relic, DataDog). Excellent organization, critical-thinking and personal leadership skills Self-starter with the ability to deliver with minimal supervision. Being okay with the uncomfortable feeling that comes from learning new things. Team player. Analytical mind with problem-solving aptitude. Proven experience as a great Engineer. BSc/BA in Computer Science or a related degree . Bonus points for: Experience with distributed computing Experience writing code/scripts in Python Experience with Spring Boot. Nice to have React, Selenium automation and cloud experience. Experience with Docker, Kubernetes and Istio. Experience with Ansible. Experience with Jenkins CI/CD pipeline. Linux and IP networking knowledge. Experience with AWS/Azure cloud services or equivalent. Experience with SAML, OAuth and OpenID Connect. Experience working on a SaaS product. Experience with Service Oriented Architecture. Knowledge of scripting languages such as Python, Bash or Groovy. On-call experience with production grade systems. Has mentored others in a professional setting. Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset. #LI-AJ1 #LI-hybrid #LI-AV1 #LI-hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,100-162,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Poland; Romania; Czechia Our team is developing a set of services that support the company's operational activities, starting with the gaming platform itself, back-offices, and data analytics. The product is being developed by a small team of experienced professionals. We work extensively with databases and distributed systems, discuss and implement architectural solutions, and conduct RND procedures to check the performance of certain solutions. We are looking for a team member who will work as part of the DevOps Team and collaborate closely with cross-functional teams to maintain and improve the current delivery workflow. Requirements Experience in DevOps or related roles for 4+ years, ideally gained within a fast-paced technology environment; Proficiency in Helm Chart development; Familiarity with IAAC (Terraform) for backend infrastructure; Familiarity with GitOps best practises; Familiarity with AWS Services; Experience with configuration management tools; Knowledge of CI/CD pipelines and best practices; Experience with the continuous integration system (Jenkins, GitHub actions); Ability to troubleshoot complex issues and implement effective solutions; Excellent communication skills and the ability to work collaboratively in a team environment; Willingness to learn new technologies and adapt to evolving project requirements; Experience in Kubernetes (Self Hosted); Experience with ArgoCD and its' ecosystem; 2+ years of Python experience; Scripting language skills will be a plus (Bash, etc); Languages: English (B1), Ukrainian (Proficient). Responsibilities Collaborating with the team to develop Helm Charts for our applications; Contributing to the Terraform backend team's codebase, ensuring efficient and scalable infrastructure; Configuring our development, testing and production applications to ensure optimal performance and reliability; Managing releases, ensuring smooth deployments; Overseeing continuous integration processes, including auto tests, quality checks, security checks, and more; Streamlining and optimizing Jenkins pipelines for efficiency and reliability. Technologies Python (Flask/FastApi, Celery, SQLAlchemy); PostgreSQL; Cassandra; Redis; KeyDB; GIT, CI/CD (Jenkins); Docker; Kubernetes; Helm; ArgoCD; Terraform; AWS Services (S3, SQS, SNS, Firehose, Glue); ELK Stack; Grafana; Prometheus/VictoriaMetrics. Benefits Why Join Us? 🎰 Be part of the international iGaming industry – Work with a top European solution provider and shape the future of online gaming; 💕 A Collaborative Culture – Join a supportive and understanding team; 💰 Competitive salary and bonus system – Enjoy additional rewards on top of your base salary; 📆 Unlimited vacation & sick leave – Because we prioritize your well-being; 📈 Professional Development – Access a dedicated budget for self-development and learning; 🏥 Healthcare coverage – Available for employees in Ukraine and compensation across the EU; 🫂 Mental health support – Free consultations with a corporate psychologist; 🇬🇧 Language learning support – We cover the cost of foreign language courses; 🎁 Celebrating Your Milestones – Special gifts for life’s important moments; ⏳ Flexible working hours – Start your day anytime between 9:00-11:00 AM; 🏢 Flexible Work Arrangements – Choose between remote, office, or hybrid work; 🖥 Modern Tech Setup – Get the tools you need to perform at your best; 🚚 Supported Relocation Opportunities – Explore opportunities to relocate to one of our company hubs with financial assistance.

Location: Global - Remote What you’ll be doing Work with a team of DevOps and DBA professionals; covering Saturday, Sunday and Monday (5 days in total with flexibility in your days off) as a Weekend SRE Improve existing infrastructure and processes across the countries we’re deployed in, as well as streamlining processes to deploy to new countries in the future Continuously improve Kubernetes platform stability and efficiency, with a focus on optimising resource utilisation, reducing costs, and streamlining environment provisioning through GitOps-first practices Monitor and maintain cloud infrastructure through autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM) Own weekend on-call operations, triaging and responding to production incidents, performing root cause analysis, and driving post-incident reviews Design and manage alert pipelines to ensure actionable signal quality, with attention to preventing alert fatigue, waterfall alerting, and notification flooding Define and maintain SLIs and SLOs for critical services, and use them to drive reliability improvements and on-call prioritisation Take ownership and responsibility for our cloud operation activities Liaise with external security agencies for annual audits as well as perform our own internal security sweeps Aid in reconfiguring existing architecture to allow for rapid deployments to new countries Mentoring less experienced team members What you’ll bring 3+ years DevOps / platform engineering experience Must be based in Europe or Asia or LatAM Experience independently leading the planning and deployment of a project Experienced with cloud platforms, especially AWS, including solid knowledge of how to utilise cloud resources to fulfil the demand from other teams and production Strong understanding of Kubernetes and container orchestration, with experience in EKS and GitOps tooling such as ArgoCD and Helm being highly valued Experience with Infrastructure-as-Code, particularly Terraform Proficiency in scripting and automation with Bash, Python, or Golang; experience with Rust is a plus Hands-on experience with observability stacks covering metrics, logs, distributed traces, and profiling, for example Prometheus, Loki, Tempo, Pyroscope, and OpenTelemetry Experience with real user monitoring (RUM), with familiarity in Grafana Faro or OpenTelemetry SDK instrumentation being a plus Proven on-call and incident response experience, comfortable triaging production issues under pressure, leading post-mortems, and driving follow-up actions Ability to design and maintain alert frameworks that minimise noise, prevent alert fatigue, and avoid waterfall alerting patterns Experience defining SLIs and SLOs and using them to inform reliability work Familiarity with service mesh concepts is a plus, as we are actively evaluating Cilium-based service mesh in non-production environments Solid networking knowledge, especially the TCP / IP stack and HTTP protocol Experience handling high HTTP request volumes and designing systems for high availability and high traffic environments A strong understanding of cache, including CDN, HTTP cache, Redis / Memcached Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimisation, JVM optimisation would be highly advantageous Our stack Languages: Java / Spring Boot, Node.js, Python, JavaScript Database: Aurora MySQL & PostgreSQL, MongoDB, MySQL Community Cache: ElastiCache, Redis, Valkey Messaging: Apache RocketMQ, AutoMQ, Kafka Networking & Proxy: Nginx, Kong, Cilium, eBPF Orchestration & GitOps: Docker, Kubernetes (EKS), ArgoCD, Helm Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3 CI/CD: Jenkins, GitHub Actions Metrics: Prometheus, Mimir, Grafana, Alertmanager Logs: Loki, Vector Traces: Tempo, OpenTelemetry, Alloy Profiling: Pyroscope RUM: Grafana Faro, OpenTelemetry SDK Infrastructure as Code: Terraform CDN & Edge: Cloudflare, AWS CloudFront AWS CloudWatch What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Online assessment via Hackerrank Remote video interview with 3 x Team Members (45 mins each, not separate days) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. #LI-remote

Location: Pondicherry, India; Ahmedabad, India; Delhi, India; Bangalore, India Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Data Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: ● Design, develop, and maintain data ingestion pipelines using Kafka Connect and Debezium for real-time and batch data integration. ● Ingest data from MySQL and PostgreSQL databases into AWS S3, Google Cloud Storage (GCS), and BigQuery. ● Implement best practices for data modeling, schema evolution, and efficient partitioning in the Bronze Layer. ● Ensure reliability, scalability, and monitoring of Kafka Connect clusters and connectors. ● Collaborate with cross-functional teams to understand source systems and downstream data requirements. ● Optimize data ingestion processes for performance and cost efficiency. ● Contribute to automation and deployment scripts using Python and cloud-native tools. ● Stay updated with emerging data lake technologies such as Apache Hudi or Apache Iceberg. Required Skills and Qualifications: ● 5+ years of hands-on experience as a Data Engineer or similar role. ● Strong experience with Apache Kafka and Kafka Connect (sink and source connectors). ● Experience with Debezium for change data capture (CDC) from RDBMS. ● Proficiency in working with MySQL and PostgreSQL. ● Hands-on experience with AWS S3, GCP BigQuery, and GCS. ● Proficiency in Python for automation, data handling, and scripting. ● Understanding of data lake architectures and ingestion patterns. ● Solid understanding of ETL/ELT pipelines, data quality, and observability practices. Good to Have: ● Experience with containerization (Docker, Kubernetes). ● Familiarity with workflow orchestration tools (Airflow, Dagster, etc.). ● Exposure to infrastructure-as-code tools (Terraform, CloudFormation). ● Familiarity with data versioning and table

Location: Warsaw, Poland Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior JavaScript Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. What You Will Do: Work on specific problem spaces critical to the client’s needs, with opportunities to switch teams as both you and our fast-paced business evolve. Utilize cloud technologies, primarily AWS , to develop, deploy, and scale services. Participate in the full project lifecycle _ from concept and design to deployment and ongoing maintenance - ensuring timely and high-quality delivery. Collaborate closely with cross-functional teams across the client’s organization to align on integrations and optimize overall system architecture. Drive a strong engineering culture focused on code quality, best practices, innovation, and continuous improvement . Proactively identify, troubleshoot, and mitigate potential issues in distributed and financial systems . Work in small, autonomous teams with short release cycles and a strong sense of ownership. Who You Are: Proficient in JavaScript , with strong hands-on experience in backend development using Node.js (e.g., Express, NestJS, or similar frameworks). Experienced with PostgreSQL and designing, architecting, and building reliable, scalable backend systems. Comfortable working with cloud technologies , particularly AWS (e.g., EC2, Lambda, S3, RDS, etc.). Familiar with distributed systems and financial-domain challenges, with the ability to anticipate and address potential issues early. A strong communicator who can effectively collaborate with engineers, product managers, and other stakeholders across teams. Fluent in verbal and written English , with the ability to clearly explain technical concepts.

Location: Remote – Europe or East Coast North America About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. Job Description: We are seeking a talented Support Engineer to join our team and provide exceptional technical support for our industry-leading data labeling software. As a Support Engineer, you will play a crucial role in ensuring the seamless operation of our platform and assisting our clients in resolving any technical issues they encounter. You will work closely with our product and engineering teams to deliver prompt and effective solutions, contributing to the overall success of our product. As our team scales, this role will play a critical part in advancing our support maturity—improving processes, strengthening our ability to deliver proactive support, and contributing to internal tooling and automation. Responsibilities: Provide technical support to clients via email and support tickets, addressing inquiries related to the installation, configuration, and usage of Label Studio. Diagnose and troubleshoot software issues reported by clients, utilizing debugging tools and logs to identify root causes and implement timely resolutions. Collaborate closely with Product, Engineering, and Customer Success to drive issue resolution. Create internal and external documentation to improve support quality and self-service. Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows. Provide structured, high-quality customer updates throughout investigations. Requirements: 3–5 years in technical support or support engineering for a SaaS or developer-focused product. Strong debugging skills across cloud environments, APIs, browser issues, and containerized systems. Proficiency in Python or Javascript programming language for scripting and automation tasks. Strong understanding of cloud computing platforms, particularly AWS (Amazon Web Services), including services such as EC2, S3, Lambda, and IAM. Familiarity with machine learning concepts and frameworks, with experience working with ML models preferred. Excellent problem-solving skills and ability to analyze complex technical issues. Exceptional communication skills, both written and verbal, with a customer-centric approach. Ability to thrive in a fast-paced environment, managing multiple priorities effectively and meeting tight deadlines. Strong teamwork and collaboration skills, with the ability to work cross-functionally with engineering, product management, and customer success teams. Preferred Qualifications: Experience with Kubernetes, container orchestration, or infrastructure debugging. Knowledge of ML/AI workflows or data labeling pipelines. Familiarity with Agile development methodologies. Familiarity with REST APIs and integrating with external services. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range for the United States is $75,000 to $90,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

Location: Colombia; Ukraine; Poland; Brazil; Argentina; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights. You will partner with cross-functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high-quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision-making. WHAT YOU WILL DO Data Architecture and Platform Development - Design, build, and optimize scalable data infrastructure for risk and compliance workloads - Develop batch and streaming pipelines using modern big data technologies - Implement robust ETL and ELT workflows across diverse structured and unstructured data sources Cloud Data Engineering - Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools - Build high-throughput, low-latency systems that support real-time or near-real-time decision making Collaboration and Delivery - Partner with data scientists, analysts, and engineering teams to deliver reliable and well-documented datasets - Translate business requirements into technical specifications and scalable data solutions - Mentor team members and contribute to best practices and reusable frameworks within Solvd Automation and Continuous Improvement - Streamline reporting, analytics, and data preparation processes - Replace manual workflows with automated, repeatable systems - Support ongoing performance tuning, monitoring, and platform optimization BASIC QUALIFICATIONS - Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar - 3 or more years of hands-on experience in data engineering or related fields - Strong proficiency in SQL and data modeling for analytics and warehousing - Experience building ETL or ELT pipelines at scale - Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR - Knowledge of distributed systems and data storage principles - Basic scripting skills in Python or Scala - Familiarity with machine learning concepts PREFERRED QUALIFICATIONS - Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda - Experience working with non-relational data stores such as document, key-value, column-family, or graph databases - Experience collaborating with cross-functional risk, compliance, or analytics teams - Strong understanding of data governance, quality, and security best practices When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Krakow Workplace: hybrid ELEKS Software Engineering and Development Office is looking for a Senior Data Engineer in Poland, Croatia or Ukraine.    ABOUT PROJECT We're growing our team at ELEKS in partnership with a company, the UK’s largest renewable power generator, primarily using sustainable biomass and hydroelectric power. REQUIREMENTS Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years Hands-on experience with Databricks 2+ years Experience with Python Experience with Power BI is nice to have Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.) Knowledge of the Energy industry (e.g. energy trading, utilities, power systems etc.) would be a plus Experience with Geospatial data would be a plus At least an Upper-Intermediate level of English RESPONSIBILITIES Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination WHAT WILL YOU GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with a low level of bureaucracy ABOUT ELEKS ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991. Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Data Architect to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Role Summary: The Data Architect will design and govern the complete data ecosystem for the ValueX platform — including data ingestion, processing, modeling, storage, orchestration, and governance. They will define the data architecture blueprint supporting the system’s core modules. 1. Customer Segmentation 2. Business Decisioning & Offer Assignment Engine 3. Real-Time Offer Orchestration Module (ROOM) 4. ML/AI Model Management & Simulation Engine The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning — with a focus on performance, cost optimization, and maintainability. Key Responsibilities: Data Architecture & Design Define the end-to-end data architecture across batch, streaming, and real-time layers. Design Customer 360 and Offer 360 data models, including feature store and historical layers. Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration. Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations. Set up data versioning and lineage frameworks to track data provenance Data Ingestion & Integration Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs. Define patterns for real-time event ingestion (recharge, offer purchase, balance check). Standardize data access through APIs or data products for downstream modules. Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io , KNIME). Data Management & Governance Define and enforce data quality, lineage, catalog, and access policies. Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen). Set up data validation and DQ frameworks (Great Expectations, Deequ). Govern data partitioning, schema evolution, retention, and archiving strategies. Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies). Scalability, Cost & Performance Design for high performance and cost-efficient scalability (25M → 50M → 75M customers). Optimize compute/storage balance across environments (Dev, UAT, Prod). Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction). Monitor and manage query performance, cluster sizing, and job orchestration costs. Collaboration & Governance Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment. Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry). Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx). Provide best practices and design patterns for model deployment, retraining, and data lifecycle management. 10+ years in Data Architecture and Data Platform Design Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management. ETL/ELT & Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory. Streaming & Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow) Storage & Compute-Delta Lake, Parquet, Iceberg, Snowflake Data Quality & Governance-Great Expectations, Deequ, DataHub, Collibra Programming & Scripting-Python, SQL, PySpark, YAML API & Integration Design-REST, GraphQL, Kafka Connect, JSON schema Security & Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance Preferred (Nice-to-Have) Telecom industry experience (recharge, balance, offer, churn, usage data). Experience integrating with Adobe Experience Platform (AEP) or Pricefx. Knowledge of DecisionRules.io , KNIME, or n8n for workflow orchestration. Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker). Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation. Educational Background Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.

Location: London, United Kingdom Workplace: hybrid About The Role: At Paysend, we operate a complex hybrid infrastructure supporting a global fintech platform. We are looking for a System Administrator to join our Infrastructure team and help maintain and support our systems across on-premises and cloud environments. You will work across Linux, AWS, networking, automation, monitoring, and security, while also supporting hardware and software, managing user access and permissions, and carrying out system upgrades, patching, and troubleshooting. This role is about hands-on infrastructure work, keeping systems stable and secure, and continuously improving how our systems are managed and supported. What You'll Do (Responsibilities): Deploy and manage software, user access, and system configurations across a hybrid infrastructure, leveraging automation to ensure consistency, security, and scalability Administer and maintain Linux-based systems across on-premises and cloud environments (~70% of the environment), including provisioning, patching, performance tuning, and troubleshooting Support Windows environments (~30%), including core services such as Active Directory, DNS, RDS, and Group Policy Design, deploy, and manage infrastructure in AWS (primary cloud) including EC2, VPC, IAM, S3, and CloudWatch Support and maintain infrastructure in GCP environments (Compute Engine, Cloud Storage, IAM), as part of a multi-cloud setup Build and maintain infrastructure as code using Terraform and automate configuration management using Ansible Develop and maintain automation scripts using Bash, Python, or PowerShell Manage virtualisation platforms (VMware, EC2, Compute Engine) and support both physical and virtual servers (HP Proliant, HP MSA) Administer and maintain storage systems including SAN/NAS and cloud storage (S3, EBS, Google Cloud Storage, Filestore) Configure and troubleshoot networking components across cloud and on-prem environments, including VPCs, VPNs, load balancers, DNS, and firewalls Work with enterprise networking and security equipment (Cisco, Arista, Fortinet, Palo Alto, Juniper, Forcepoint) Implement and maintain monitoring and observability solutions (CloudWatch, Prometheus, Grafana, Zabbix) to ensure system health and performance Ensure backup, disaster recovery, and data protection strategies are in place and operational (Veeam, AWS Backup, GCP Backup and DR) Enforce security best practices, IAM policies, and compliance standards across hybrid and multi-cloud infrastructure Collaborate with DevOps, Security, Monitoring, and DBA teams to ensure reliable and scalable system operations Maintain clear and up-to-date documentation of systems, processes, and configurations (CMDB) What You’ll Need To Be Successful In This Role: Strong hands-on experience with Linux system administration in production environments Experience managing hybrid infrastructure (on-premises + cloud) Proven experience with AWS (EC2, VPC, IAM, S3, CloudWatch) Hands-on experience with Terraform and/or Ansible for infrastructure automation Solid understanding of networking fundamentals (TCP/IP, DNS, VPNs, load balancing) Experience working with physical and virtual servers, including provisioning and troubleshooting Experience with virtualisation platforms (VMware, EC2, Compute Engine) Scripting experience using Bash, Python, or PowerShell Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Zabbix) Strong understanding of security best practices, IAM, and access control Experience with backup and disaster recovery solutions (Veeam, AWS Backup, GCP Backup,DR) Great to have: Experience working with GCP (Compute Engine, Cloud Storage, IAM) in a multi-cloud environment Experience with Azure Experience with Windows systems (Active Directory, DNS, RDS) Familiarity with container platforms (EKS, GKE) Experience with CI/CD tools (GitLab CI/CD, Packer) Experience with storage technologies (SAN, NAS, cloud storage platforms) Exposure to network/security appliances (Cisco, Fortinet, Palo Alto, Juniper) Familiarity with web and infrastructure services (IIS, NTP, Certificate Authority, file services) Experience supporting MDM solutions (Intune, Jamf) Familiarity with OpenSearch, Cloudflare, or similar tools Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.