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Стек C#, .NET, PostgreSQL, Redis, Kafka, gRPC, ClickHouse, S3 Вы будете Разрабатывать и поддерживать микросервисную архитектуру.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. As a Senior Software Engineer, you will bring deep technical expertise, creative problem-solving, and strong communication skills to the design and development of cloud platforms, developer tools, and full-stack applications. You will help drive architectural decisions, build and scale production services, improve developer workflows, and establish engineering best practices. You will also serve as a technical resource for other engineers and users, providing technical guidance, documentation, troubleshooting, setup assistance, and expertise for the systems and tools you help build. Responsibilities Design, build, and maintain scalable, secure, reliable, and cost-effective cloud services on AWS, with a focus on serverless and event-driven architectures. Architect and implement production AWS solutions using services such as Lambda, Step Functions, ECS, DynamoDB, S3, and related technologies. Design and develop web applications and services spanning front-end, back-end, APIs, databases, and cloud infrastructure. Integrate cloud services with internal and external systems using secure, reliable, and maintainable interfaces and engineering practices. Design for operational reliability, including robust error handling, monitoring, and recovery from failures. Diagnose production issues and identify performance, reliability, usability, and developer-experience improvements. Collaborate with engineers, users, and partner teams to understand requirements, evaluate technical tradeoffs, and deliver practical solutions. Contribute to technical documentation, engineering standards, code reviews, and architectural decisions. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience. 5+ years of professional software engineering experience in cloud platforms, backend systems, or related fields. Strong proficiency in Python, including software design, automated testing, and dependency management. Hands-on experience designing and implementing production systems on AWS. Experience with distributed, asynchronous, or event-driven system architectures. Demonstrated experience shipping and supporting at least one production cloud service. Experience with infrastructure as code (IaC), particularly Terraform. Experience designing and integrating REST APIs or other service-to-service interfaces. Experience debugging complex systems and diagnosing issues across multiple services and components. Strong written and verbal communication skills and the ability to collaborate effectively across teams. Desired Qualifications Experience with serverless and container-based AWS technologies such as Lambda, Step Functions, ECS/Fargate, DynamoDB, S3, API Gateway, SQS, SNS, or EventBridge. Experience with AWS security and identity concepts, including IAM, least-privilege access, secrets management, and service-to-service authentication. Experience with observability, tracing, monitoring, and debugging using tools such as Amazon CloudWatch and AWS CloudTrail. Experience designing CI/CD pipelines and automated deployment workflows. Experience developing full-stack web applications using technologies such as JavaScript/TypeScript, React, Node.js, Java, or SQL databases. Experience designing internal developer platforms, workflow systems, or developer-facing tools. Familiarity with Agile development methodologies such as Scrum. Familiarity with mobile application development, particularly Android or iOS. Familiarity with the PlayStation ecosystem. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $193,300 — $289,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

6+ лет в data engineering, опыт с банковскими данными обязательно. Сильный бэкграунд до AI: руками строил DWH или Lakehouse и знаешь, где всё ломается.

Поддерживать и развивать инфраструктуру дата‑платформы: HDFS, Spark, ClickHouse, Airflow и др. Запускать и эксплуатировать Ceph‑кластер с высокими требованиями к SLA.

Location: Lviv Workplace: remote ELEKS Software Engineering and Development Office is looking for a Trainee / Junior PHP Developer in our offices in Ukraine. Our project is a German event management and marketing platform that helps customers create events with different ticket categories, sell tickets, analyze event performance, and collect feedback from organizers. Our client works with large companies that organize conferences, trade fairs, and other corporate events. REQUIREMENTS Understanding of programming fundamentals and how software is built Basic knowledge of PHP 8.4 and object-oriented programming; hands-on PHP experience is a plus but not mandatory Openness to learning PHP with Laminas or writing backend code in Node.js Basic understanding of relational databases and SQL; familiarity with MySQL 8.4 or PostgreSQL 14 Basic understanding of REST APIs Familiarity with Git and Composer Some hands-on experience with AI tools for software development Ability to use AI thoughtfully: define tasks and acceptance criteria, review and test AI-generated output, and refine it where needed rather than copying it without verification Interest in a full-stack role and willingness to work across both backend and frontend development Upper-Intermediate level of English WOULD BE A PLUS Familiarity with TypeScript and Angular 21 Experience with PHP or another backend language Basic knowledge of Docker Familiarity with PHPUnit and test writing Interest in AWS services such as S3 or SQS Basic knowledge of NoSQL databases, such as DynamoDB Familiarity with Swagger/OpenAPI, Propel ORM, or microservices Experience working with third-party APIs, such as PayPal or Google Analytics RESPONSIBILITIES Conduct a simple range of programming tasks including analysis, coding, and debugging of complex program logic Conduct test procedures by using testing, and debugging programs Develop algorithms according to technical specifications or other requirements documentation Use standard algorithms in the applicable cases Write program code according to the defined application architecture Structure and format source code, comment and mark up the code, as well as name variables, functions, classes, data structures, and files according to the company conventions and industry best practices Track changes, compare source code in the defined version control system Agree task deadlines with Senior Developer or Technical Leader WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with a low level of bureaucracy

Задачи: разработка потоков подключения метаданных, автоматизация и шаблонизация подключения СУБД, создание Python-скриптов для генерации DDL/DML и Airflow DAG, оптимизация DAG для таблиц Iceberg, доработка витрины и ведение проектной документации. 🧩 Требования: глубокое знание PySpark и Airflow;

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Storage decides how fast agent sandboxes start and how safely they share data. Agents need a filesystem that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files. The Agent Infra team builds Agent Drive, the distributed filesystem that agent sandboxes mount over FUSE, and the storage underneath it. The work uses tiered caching, replication, content-addressed data, and Linux filesystem internals. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes and Agent Drive filesystem are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one, so storage is designed for many tenants from day one. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you care about page cache coherency, FUSE, replication protocols, and content-addressable storage, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior - Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency - Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching - Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation - Own the storage side of sandbox startup and resume performance - Build durable block storage for sandboxes alongside other Baseten storage teams - Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix - Contribute upstream to the open-source storage projects we build on REQUIREMENTS - Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code - Deep understanding of Linux filesystem and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency - Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production - Ability to debug correctness bugs that only show up under concurrency or partial failure - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with a distributed filesystem or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects - Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads) - Experience with snapshot, clone, and copy-on-write filesystem features - Experience operating multi-tenant storage with hard isolation requirements - Familiarity with Linux performance tooling such as eBPF, io_uring, perf, ftrace, and blktrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. WHAT YOU'LL DO - Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. - Build and improve services that support namespace provisioning, configuration, scalability, and reliability. - Develop data pipelines that process high-volume usage and operational data across multiple tenants. - Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. - Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. - Participate in code reviews, design discussions, incident response, and production debugging. - Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. - Improve developer and customer experience through automation, better tooling, and incremental product improvements. WHAT YOU'LL BRING - Experience building and operating production backend systems in a cloud environment. - Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. - Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. - Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. - Experience with databases, data pipelines, messaging systems, or object storage. - The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. - An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. - Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. - A commitment to correctness, maintainability, and leaving systems better than you found them. NICE TO HAVE - 3+ years of work experience - Experience with Go. - Experience with PostgreSQL, Redshift, Kinesis, Firehose - Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. - Familiarity with Kubernetes and cloud infrastructure. - Experience supporting on-call rotations, investigating incidents, or improving production observability. - Familiarity with Temporal concepts—or a strong interest in learning the platform. TECHNOLOGY STACK - Primary language: Go - Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse - Data processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core framework: Temporal You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Nearshore candidates preferred, with availability to work EST or Pacific Time hours Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery 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: 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: London, United Kingdom About the company Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.” Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications. We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands About the role Transak's Fiat/Payments team builds and operates the rails that move money between traditional banking systems and crypto — ACH, SEPA, Faster Payments, wires, virtual accounts, and card rails. As an SDE 3, you will own critical, high-throughput payment microservices end-to-end: design, build, scale, and operate systems that move real money for users across multiple currencies and jurisdictions, with US,UK/EU regulatory and global banking-partner requirements as a core part of the job. This is a senior individual-contributor role calibrated against SDE 3 / Senior Engineer, driving architecture decisions, mentoring engineers, and being the go-to owner for a payments domain, while staying hands-on in code daily. Key Responsibilities Payment Systems Ownership & Architecture Own payment microservices end-to-end — design, build, deploy, and operate Node.js services (orders, payment, reconciliation, virtual accounts, payout orchestration) handling real-time financial transactions at scale. Design for correctness and failure: idempotent, retry-safe, reconciliable systems where every transaction is traceable, auditable, and recoverable (partial failures, webhook replays, duplicate detection, distributed state machines). Architect for scale and resilience across a distributed microservices architecture; make service-boundary and build-vs-buy decisions; address root causes rather than symptoms. Banking & Partner Integrations Drive integrations with banking and payment partners (e.g. banking and card providers / risk providers) — API contracts, webhook handling, sandbox-to-production rollout, and reconciliation logic across multiple rails (ACH, SEPA, Faster Payments, wires). Work with Risk, Compliance on KYC, AML, and fraud-control touchpoints in the payment flow. Infrastructure, CI/CD & Operations Build and maintain CI/CD pipelines (Jenkins) — automated testing, blue/green or canary deployments, and rollback strategies for services that cannot tolerate downtime or data loss. Operate infrastructure on AWS (ECS/EKS, Lambda, SQS/SNS, RDS, CloudWatch); contribute to infra-as-code, monitoring, alerting, and on-call runbooks for payment-critical systems. Optimize the data layer: schema design and query performance in MongoDB, caching and rate-limiting strategies with Redis, and safe migration patterns for high-volume transactional collections. Participate in on-call for payment-critical services, including incident response and postmortems. Technical Leadership & Collaboration Lead technical roadmaps — break down large, ambiguous payments initiatives into shippable milestones; write design docs/RFCs; drive consensus across Engineering, Product, Risk, and Operations. Mentor and raise the bar — review code and designs, coach mid-level engineers, and help hire and grow the team. Uphold security and compliance best practices for handling PII/financial data in a regulated, PCI-DSS-adjacent environment. What We're Looking For 6+ years of professional software engineering experience, with a significant portion building backend/distributed systems; prior experience in fintech, payments, on-and-offramp provider, or banking infrastructure strongly preferred . Strong hands-on expertise in Node.js (TypeScript preferred) for performant, production-grade backend services. Deep experience with MongoDB — schema design, aggregation pipelines, indexing strategy, and performance tuning at scale. Proficiency with Redis — caching, distributed locks, rate limiting, and pub/sub patterns. Proven experience designing and operating microservices architectures , including inter-service communication (REST/gRPC/event-driven via SQS/Kafka,ELK,New relic, Mixpanel), service discovery, and API contract design. Solid understanding of CI/CD pipelines , with hands-on experience using Jenkins (pipeline-as-code, multi-stage builds, automated test gates). Working knowledge of AWS infrastructure — ECS/EKS/Lambda, VPC networking basics, IAM, S3, RDS, CloudWatch; infra-as-code (Terraform/CloudFormation) is a plus. Strong grasp of distributed systems fundamentals: idempotency, eventual consistency, retries/backoff, circuit breaking, and failure isolation. Track record of owning a service or domain end-to-end in production, including on-call responsibility. Excellent written communication — comfortable authoring design docs/RFCs and explaining trade-offs to engineers and non-technical stakeholders (Risk, Ops, external partners). Nice-To-Haves Experience with payment rails (ACH, SEPA, Faster Payments, SWIFT/wires) or card processing. Familiarity with banking partner integrations, webhook-driven reconciliation, or ledger/double-entry accounting systems. Exposure to KYC/AML/fraud tooling. Experience at a fintech/crypto-native company, payments processor, or Big Tech payments org. Prior experience operating in a regulated environment (FCA, EMI/PI licensing context), given the UK/EU banking scope of this role.

Location: Yerevan, Armenia Workplace: hybrid About Webb Fontaine Founded in 2002, Webb Fontaine is a global trade technology company headquartered in Dubai, with projects spanning the Middle East, Africa, Asia, South America and beyond. We partner with governments worldwide, providing cutting-edge solutions to boost their revenue by streamlining trade and logistics operations across the entire trade spectrum. At Webb Fontaine, we're crafting a legacy of innovation with a mission to transform the landscape of trade through technology. This wouldn’t be possible without our team of exceptional individuals who are at the core of our success. Build the technology powering international trade. We're looking for a Mid-Level Java Software Engineer to help build a modern, scalable platform supporting mission-critical Customs operations. You'll work on real distributed systems, grow your architectural skills alongside experienced engineers, and use modern AI tools to deliver reliable, maintainable software. Our Tech Stack Java 17+, Spring Boot, Apache Kafka, PostgreSQL, Oracle, Elasticsearch, Amazon S3, Kubernetes, and AI coding assistants. Key responsibilities Build and maintain scalable, reliable backend services using Java, Spring Boot, and event-driven architectures. Apply best practices in software design, testing, code reviews, and CI/CD. Troubleshoot production issues and optimize application performance. Use AI coding assistants and agents to accelerate development, generate tests, refactor code, and debug issues. Review and validate AI-generated code for correctness, security, and maintainability. Collaborate with the team. Travel to our project offices when necessary. Qualifications 3+ years of professional Java development experience, including Spring Boot. Solid knowledge of SQL databases, Kafka, microservices, and event-driven architecture. Understanding of JVM performance, multithreading, and concurrency. Experience with automated testing, CI/CD, and containerized applications. Practical experience with AI coding assistants such as Claude Code or Codex, with the ability to critically evaluate generated code. Strong analytical and problem-solving skills. Fluency in English . Availability and willingness to travel to project offices are mandatory. Nice-to-have qualifications Experience with AWS, GCP, or Azure. Kubernetes, Elasticsearch, or observability tools (Grafana, Prometheus). Experience with Customs, trade, or government systems. Benefits Equal opportunity advocacy: We promote equality, creating a diverse and inclusive environment. Competitive compensation: Enjoy a competitive salary that rewards your contributions. Health and Wellness: We provide comprehensive medical coverage. Global collaboration: Join a world-class team with a global presence and international clients. Investment in you: We invest in your growth and development, valuing our employees as top talent. Work-life balance: We support a healthy work-life balance for your well-being. Training support: We offer a comprehensive learning and development program. We offer benefits tailored to each location, considering the specific regulations and conditions of each country. These will be discussed with candidates during the selection process.

Ключевые требования: опыт с ClickHouse; Spark (стриминг, батч);

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі. Ми шукаємо розумного, технічно грамотного Python  developer  у Machine Learning Team. Video Department. Video Devices Division відповідає за повний цикл розробки відеопристроїв Ajax — від створення початкової концепції до запуску масового виробництва та подальшого масштабування. Команда зосереджена на створенні складних технологічних продуктів, що поєднують механічне проєктування, розробку апаратного забезпечення та інтеграцію низькорівневого програмного забезпечення для забезпечення стабільної роботи систем у режимі реального часу.Про роль Ми — Platform-команда, яка розбудовує інфраструктуру для ML-інженерів.Ми розробляємо пайплайни для збору та підготовки датасетів і тренування моделей,створюємо внутрішні сервіси для автоматизації роботи команди: тестування моделей на реальних пристроях, керування даними та їх перегляд і організовуємо сховище даних. Роль передбачає розвиток внутрішньої платформи, яка допомагає забезпечувати якість і оптимізувати процеси створення нових нейромоделей для камер. Вимоги: комерційний досвід роботи з Python 3 (від 3 року); розробка та впровадження автоматизованих пайплайнів; базове розуміння асинхронного та багатопотокового коду (asyncio, threading); базові знання Unix/Linux; розуміння Docker та контейнеризованих середовищ; досвід роботи з SQL; досвід роботи з Git; англійська на рівні розуміння технічної документації. Буде плюсом: досвід опрацювання великих обсягів даних; досвід роботи в ML-середовищі (розуміння етапів створення моделей); досвід роботи зі S3-сумісними сховищами; досвід роботи з Kubernetes. Задачі на проекті: організація сховища даних та інструментів для роботи з ним; автоматизація збору даних для тренування та збільшення їх обсягу; розробка та впровадження автоматизованих пайплайнів; розробка нових сервісів і підтримка наявних (FastAPI, React); робота з інфраструктурою проєкту: CI/CD (GitHub Actions), Kubernetes, AWS. Що ви отримаєте: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; місце у стрімко зростаючій компанії з вмотивованою професійною командою; конкурентну заробітну плату; медичне страхування; корпоративні заняття з англійської мови; можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; знижки від компаній-партнерів; знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.

Глубокие знания PHP, Symfony, React и TypeScript. Опыт с современными облачными технологиями.