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Location: Georgian office; Yerevan, Yerevan, Armenia About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Requirements 6+ years of professional software engineering experience. Strong hands-on experience with Node.js, TypeScript, and React.js , with a backend focus. Practical experience with Agentic Development and AI-assisted development tools. Solid experience with AWS cloud services. Strong understanding of microservices architecture , REST APIs, and distributed systems. Experience with SQL/NoSQL databases, CI/CD, and automated testing. Ability to independently design, develop, and deliver scalable software solutions. We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by labor legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.com

Location: USA 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. We are looking for a Senior / Staff Data Engineer to build what the Agent Assist provider calls: the Bedrock Knowledge Base configuration, the OpenSearch Serverless collection, the versioned retrieval API, and the quality dashboard. You’ll own the retrieval workstream end to end, paired with the ingestion engineer, with technical direction from the Solution Architect. This role carries the most technical risk in the engagement — entitlement filtering is a severity-one commitment. The mission: ship a retrieval API that returns the right passages, with citations, only to callers entitled to see them, at a latency and cost the client accepts, and that the client can version and operate after week 10. WHAT YOU’LL DO - Stand up the Bedrock Knowledge Base and OpenSearch Serverless vector collection in the client’s account from infrastructure code, with the embedding model, chunking strategy, and metadata fields the architect specified. - Implement hybrid retrieval — vector plus keyword — with metadata filtering by taxonomy, source, status, and review date; tune top-k, score thresholds, and reranking against the golden question suite. - Build the retrieval API on API Gateway and Lambda per the Integration Blueprint — versioned paths, authentication for the Agent Assist provider, per-client rate limits and usage metrics, structured error responses, and a citation payload with source URL, title, section, and last modified date. - Enforce entitlement at query time by filtering on permission metadata the ingestion pipeline captures — no restricted passage is ever returned to an unentitled caller. - Provide the Bedrock retrieve-and-generate reference endpoint used for pilot validation in weeks 7–9. - Build the quality dashboard — relevance, grounding, and citation scores trended per run; permission test results; freshness lag per source; API latency and error rate; OpenSearch capacity. - Support the contact center pilot in weeks 7–9 — capture retrieval misses, tune, and re-run the suite before each change ships. - Write the retrieval and API runbooks including model change, re-embedding, and index rebuild procedures with cost implications. - Pair with client platform owners in weeks 9–10 and hand over on the transition readiness checklist. REQUIRED SKILLS & EXPERIENCE - 4+ years as a software or ML engineer, with at least one RAG or enterprise search system delivered to production and measured with an evaluation suite — not just demos. - Hands-on with Amazon Bedrock — Knowledge Bases, Retrieve and RetrieveAndGenerate APIs, embedding models — and Amazon OpenSearch Serverless vector search including hybrid queries and metadata filters. - Python, with experience shipping Lambda-based APIs behind API Gateway including auth, versioning, and throttling. - Infrastructure-as-code with Terraform or AWS CDK and CI for deployment into a client-owned account. - Practical understanding of chunking, embedding model selection, reranking, and the trade-offs between relevance, latency, and cost. - Experience building operational dashboards in CloudWatch or an equivalent tool. PREFERRED QUALIFICATIONS - AWS Certified Generative AI Developer Professional or AWS Certified Machine Learning Engineer Associate. - Experience with RAG evaluation frameworks and metrics — faithfulness, context precision and recall, citation accuracy. - Experience integrating with a contact center Agent Assist product as an API provider. - Familiarity with Bedrock Guardrails and permission-aware retrieval patterns over Microsoft 365 content. 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: Hong Kong Office Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. Responsibilities: Own IT in the Region: Act as the sole on-site IT engineer for our Hong Kong office and the go-to IT contact for all employees across APAC. You'll work closely with the global IT team, but day-to-day decisions in the region are yours. Be the First Responder: Serve as the primary point of contact for all incoming IT support requests from APAC employees via our ticketing system, email, chat channels, or walk-ups. Provide remote support to colleagues in other APAC locations. Triage & Troubleshoot: Diagnose and resolve hardware, software, and basic network issues independently. Know when to fix it on the spot and when to escalate complex issues to the global System Administration team, often across time zones. Manage the User Lifecycle: Execute onboarding and offboarding processes for APAC staff. Create accounts in Active Directory/Google Workspace/MFA, configure workstations, and set up secure access. Deploy & Maintain Hardware: Prepare, image, and deploy both Windows and Apple-based devices, including shipping and remote setup for employees outside Hong Kong. Help procure and maintain office tech, including monitors, docking stations, conference room AV equipment, and office cable management. Manage Local Vendors: Own communication, coordination, and procurement with hardware, software, ISP, and facilities-related IT vendors across the region. Office Access: Maintain and support our office access systems used by employees and visitors. Office Infrastructure: Maintain the local network and server/communications room, including the systems which reside there. Educate, Document & Automate: Write clear, simple "How-To" guides for our internal knowledge base (in English) to help users solve common problems on their own. Support the automation of recurring tasks. Relevant experience: The Essentials: 4+ years of experience in an IT Helpdesk or customer-facing technical support role. Independent Operator: Proven ability to work autonomously with minimal supervision. Experience as the sole IT person supporting an office is highly desirable. Languages: Fluent English and Cantonese are required. Mandarin is a strong plus. Customer-First Mindset: Excellent communication skills and the patience to explain technical concepts to non-technical staff in a multicultural environment. Core Tech Experience: Strong hands-on experience troubleshooting and administering Windows, macOS, Google Workspace, MS Office, and related tools. Experience with AI-assisted automation. Admin Basics: Familiarity with user, group, and policy management in Active Directory and Google Admin console. Hardware & Network Fundamentals: A strong understanding of laptop hardware, peripherals, and network concepts (Wi-Fi, VPNs, IP addressing, basic switching). Bonus Points: Experience supporting users across multiple countries or time zones in APAC. Experience working in and administering IT Service Management tools like ManageEngine and Atlassian Jira. Basic familiarity with PowerShell and scripting. Familiarity with ITIL. Relevant IT certifications. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: USA 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. We are looking for a Senior Data Engineer to build the four source connectors and ingestion pipeline that turns raw knowledge content into a governed, permission-tagged corpus in S3 and Amazon Bedrock Knowledge Bases. You’ll own the ingestion workstream end to end inside an architecture set by the Solution Architect, working paired with the retrieval engineer so no deliverable sits with one person. The mission: get every in-scope item from four source systems into the index with its metadata, permissions, and lineage intact — on a sync schedule the client can tune, with retirement propagating on the next run. WHAT YOU’LL DO - Build the iKNOW connector against Oracle B2C Service knowledge APIs — full inventory extract, then incremental sync by modified date with article status and answer version captured. - Build SharePoint, OneDrive, and Teams connectors on Microsoft Graph — site and drive enumeration, delta queries for incremental change, and capture of sharing and group membership as permission metadata on every item. - Build the Sitecore connector against its content APIs for public web content in scope. - Implement the ingestion pipeline — landing in S3 with per-source prefix convention, document conversion and text extraction, deduplication by content hash, metadata enrichment from taxonomy, and Bedrock Knowledge Base data source sync with chunking parameters set by the architect. - Produce inventory extracts for content disposition reviews and counts that feed the end-of-Phase-1 re-baselining. - Implement retirement handling — items marked retired or deleted at source are removed from the index on the next sync. - Handle throttling and backoff for Oracle and Microsoft APIs, idempotent re-runs, and failure isolation per source so one connector’s outage does not stall the others. - Instrument every pipeline stage with CloudWatch metrics and write the ingestion runbooks. - Pair with client IT during weeks 7–10 so they can run, re-run, and extend the pipelines after transition. REQUIRED SKILLS & EXPERIENCE - 4+ years building data pipelines in production, at least 2 of them on AWS with Python. - Hands-on with Microsoft Graph API for SharePoint and Teams content — delta queries, permissions, and throttling — or equivalent enterprise content platform experience. - Experience landing unstructured content (HTML, Office documents, PDF, chat transcripts) into S3 and preparing it for search or vector indexing. - Working knowledge of Amazon Bedrock Knowledge Bases data sources and sync behavior, or a comparable vector ingestion path on OpenSearch. - Infrastructure-as-code experience with Terraform or AWS CDK and CI for pipeline deployment into a client-owned account. - Comfortable working from a shared backlog in client repositories with documentation written as the work is done. PREFERRED QUALIFICATIONS - AWS Certified Data Engineer Associate. - Prior integration with Oracle B2C Service or another Oracle Service Cloud product. - Prior integration with Sitecore XM or XP content APIs. - Experience with AWS Glue, Step Functions, or EventBridge for orchestration, and with document parsing libraries for Office and PDF formats. 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: USA 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. We are looking for a Senior AI Quality & Evaluation Engineer to own the independent proof that retrieval works and that permissions hold. You’ll build and run the golden question suite, negative entitlement tests, and drift alarms that serve as acceptance gates — so the engineers who built the system are not grading their own work. This is a 50% allocation role across weeks 3–10, drawn from a Quality Engineering or GRC background, reporting to the POD Lead and working day-to-day with the retrieval engineer. WHAT YOU’LL DO - Build the golden question suite from top contact drivers and needs workshops — question, expected source, expected passage, and acceptance thresholds for relevance, grounding, and citation accuracy, versioned alongside the content it tests. - Build the negative entitlement test set — queries issued under unentitled identities that must return no restricted passage, with any failure raised as a severity-one alarm. - Build freshness and retirement tests — source-modified-to-index-available lag per item against the agreed threshold, and verification that retired items disappear on the next sync. - Automate the harness to run on schedule and after every content, configuration, or model change — publishing scores to the quality dashboard with trend lines and regression alarms. - Define the QA gate content analysts apply to remediated content. - Run the suite before every pilot change in weeks 7–9 and report misses with root cause — content, chunking, ranking, or permissions — to the right owner. - Write the evaluation runbook and train client stewards and platform owners to add questions, re-run the suite, and interpret regressions. REQUIRED SKILLS & EXPERIENCE - 3+ years in software quality engineering or test automation with Python, including building test harnesses that run in CI on a schedule. - Hands-on evaluation of a search or RAG system in production — writing ground truth sets, scoring relevance and grounding, and tracking drift over time. - Experience designing security-focused negative tests — authorization, entitlement, data exposure — and reporting them at the severity a client security team expects. - Ability to work in AWS — invoking Bedrock and OpenSearch APIs, reading CloudWatch, deploying a scheduled job with infrastructure code. - Clear written reporting; the suite’s output is read by client stewards, not only engineers. PREFERRED QUALIFICATIONS - AWS Certified AI Practitioner or Machine Learning Engineer Associate. - Experience with RAG evaluation libraries and LLM-as-judge scoring with human calibration. - Contact center or knowledge management domain exposure. - Familiarity with SOC 2 or ISO 27001 evidence 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: Minsk; Tbilisi Workplace: hybrid National Retail Solutions (NRS), a wholly owned subsidiary of IDT Corporation, helps independent retailers compete with large chains and online merchants. Our point-of-sale systems, store management tools, consumer ordering apps, web storefronts, and loyalty programs serve nearly 40,000 stores across the United States. We are fundamentally modernizing our AWS platform: infrastructure as code throughout, elastic capacity, strong security controls, comprehensive observability, and automated, controlled delivery. Join our talented team of DevOps engineers to shape the architecture, establish engineering standards, and drive incremental migrations while keeping production fully reliable. An AI-first mindset and strong software engineering ability are essential. You are comfortable diving into unfamiliar repositories and following problems across application code, infrastructure, and production behavior. We are looking for a high-performing engineer who sets a high bar, takes initiative, and sees difficult problems through. You uncover weaknesses, deliver measurable improvements, and take pride in building systems others can depend on. You hold yourself accountable for how your work performs in production. What You Will Do Build infrastructure as code. Manage infrastructure, networking, access controls, and supporting services through reusable, reviewed code. Enforce policies, detect configuration drift, and replace ad hoc changes with repeatable workflows and controlled emergency access. Make compute elastic and efficient. Automate scaling and dynamic rightsizing, improve cost visibility, and partner with developers to remove constraints on scaling. Own the lifecycle of golden AWS images (AMIs), including building, scanning, patching, validation, and rollout. Build and operate Docker workloads. Partner with developers to containerize suitable services. Standardize Dockerfiles, automate image builds and scanning, manage image lifecycles, and troubleshoot containers in production. Implement security with SecOps. Translate policy into least-privilege IAM, tightly scoped security groups, network segmentation, account isolation, secure credentials and secrets, encryption, and access auditing. Embed security into delivery. Own scanning platforms and pipeline integrations for code, dependencies, secrets, infrastructure, and images. Catch issues before merge wherever practical and enforce deployment gates. Coordinate vulnerability remediation, deadlines, and documented exceptions with SecOps and developers, owning infrastructure fixes. Automate and control releases. Build CI/CD pipelines with appropriate approvals, policy checks, protected environments, traceable releases, and dependable rollback. Establish release standards with development teams and adopt progressive deployment approaches where useful. Provide dependable environments. Automate provisioning and teardown of ephemeral environments and maintain staging, pre-production, and load-testing infrastructure. Support developer-owned load and performance tests through capacity analysis, infrastructure measurements, and tuning. Make systems observable. Establish metrics, structured and centralized logs, traces, and dashboards. Build actionable alerts for failures, emerging trends, anomalies, and capacity risks across infrastructure and customer-facing transactions. Apply AI to engineering and operations. Use assistants and agents with repositories, cloud APIs, and operational data to investigate issues, analyze trends, recommend improvements, and implement solutions. Review outputs critically and validate changes before rollout. Improve reliability and recovery. Help define reliability targets, test restoration and recovery procedures, share on-call responsibility, and lead infrastructure-related investigations with developers and support teams. Turn incident findings into lasting improvements. Build tooling and support platform adoption. Develop tested internal tools, services, APIs, and self-service capabilities. Maintain useful documentation, runbooks, and clear service ownership. Help teams migrate to the new platform and retire legacy infrastructure. Location and Working Hours This role is open to candidates based in Belarus or Georgia, with at least four hours of overlap with the business day in New York (US Eastern Time). The role includes participation in a shared on-call rotation . What You Bring Experience: 5 or more years in DevOps, platform engineering, site reliability engineering, or software engineering, with meaningful ownership of production systems. Software engineering: Demonstrated ability to design, write, review, test, and maintain code, with strong skills in a language such as Python, JavaScript, or Go, plus shell scripting. Previous experience in a software development role is a strong advantage. AI-first approach: Demonstrated use of AI assistants and agents to deliver engineering and operational improvements. You can delegate substantial work to AI agents, critically evaluate their output, and independently validate results. AWS: Strong production AWS experience across compute, Auto Scaling, load balancing, networking, IAM, and managed databases. IaC: Strong infrastructure-as-code experience with tools such as Terraform, CloudFormation, or Pulumi, including bringing existing infrastructure under consistent, version-controlled management. Docker: Strong hands-on experience with Dockerfiles, multi-stage builds, image optimization, container networking, configuration and secrets handling, and runtime troubleshooting. Golden images: Experience building and maintaining golden AWS images (AMIs), including automated configuration, patching, validation, and rollout. CI/CD: Experience designing and maintaining pipelines with automated builds, security checks, deployment approvals, and reliable rollback. Systems and troubleshooting: Strong Linux and networking fundamentals, with experience diagnosing production problems using metrics, logs, and traces. Security: Hands-on experience implementing cloud access controls, integrating security scanning into development workflows, and remediating infrastructure vulnerabilities in partnership with security teams. Databases and Data Stores: Experience supporting relational, document, and in-memory data stores—such as Amazon RDS, MongoDB, Redis, or similar technologies—with a focus on performance, reliability, and recovery. Engineering judgment: Sound judgment about scaling, failure handling, security, performance, and cost. Collaboration: Strong collaboration skills across software engineering, SecOps, QA, and support teams. You build productive working relationships, communicate tradeoffs clearly, and work through problems together. You make it easier for others to build, release, and operate software safely, and take shared responsibility for resolving issues across team boundaries. Incident response: Experience handling production incidents, communicating clearly under pressure, and following through on corrective work. Communication Skills: Strong written and spoken English. You explain complex technical issues clearly and coordinate effectively across teams in everyday work and during incidents. We value depth of understanding over familiarity with every named tool. Software engineering ability, effective use of AI, and ownership of production outcomes are core requirements Nice to Have: Experience modernizing established platforms through incremental migrations Container orchestration with ECS or Kubernetes Analytics databases such as ClickHouse or streaming services such as Amazon Kinesis High-volume, transaction-heavy systems Developer self-service platforms or progressive delivery Our benefits: Remote b2b (Georgia) or hybrid / remote (Belarus) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Responsibilities: — Design, build, and deploy production machine learning pipelines for energy market forecasting and grid analytics. — Collaborate with power systems engineers and analysts to deliver insights to clients. Requirements: — Experience with machine learning, time series forecasting, data pipelines, LLM, statistics, predictive analytics, grid optimization, agent-based modeling, weather forecasting, feature engineering, and energy markets. — Proficiency in Python and model deployment. Benefits: — Remote work. — Salary range $159,000 - $195,000 per year.

Location: Georgia On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. Production Snowflake: SQL, loading and unloading, and cost management Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL AI-first habits: you already use coding agents daily and look for what to automate Fluent English and based in Georgia Nice to have: MLflow and feature stores Airflow or Databricks Workflows Kafka or Spark Structured Streaming Terraform DBT Scala for Spark Reading Java Time-based splits and preventing data leakage in training sets Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Espoo Workplace: Hybrid Software Engineer - SAR Processing Platform Role highlights: Job title: Software Engineer Location: Espoo, Finland Department: SAR Processing Platform Reports to: Team Lead SAR Processing Platform Employment type: Permanent Workplace model: Hybrid - 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Software Engineer, you’ll help build and run the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, covering how incoming data is validated, scheduled and processed, how products are cataloged and delivered, and the tools operators use to run it. The platform runs in the cloud and on on-premises clusters at customer sites, and you’ll work daily with SAR processing engineers, other engineering teams across the platform, DevOps, product and delivery. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Build and maintain the backend services that schedule, process and catalog satellite data - Write and tune the processing workflows: resource sizing, reliability and integration of new processor versions - Keep production healthy: debug failed or stuck jobs from logs, metrics and the database, and turn recurring incidents into fixes or tooling - Ship through automated, version-controlled deployments to test, staging, production and on-prem environments, and roll out new processor versions and products with the SAR processing engineers using gradual rollouts and quality gates - Write tests, documentation and runbooks, and review teammates’ code What we’re looking for Must haves: - 2 to 5 years of backend software engineering experience, with solid Go and working Python, and willingness to read and occasionally change Rust - Hands-on Kubernetes and Docker as a developer: you have deployed, debugged and sized workloads yourself, not only used a cluster someone else ran - PostgreSQL (schema design, migrations, query debugging) and AWS fundamentals (S3, IAM, EKS or equivalent) - Experience running software in production, including incident debugging and postmortems - Pragmatic use of AI/LLM tools in daily development, fluent English, and comfort asking and answering questions in a distributed team Nice to haves: - Argo Workflows, Airflow or similar; NATS or Kafka; any Rust experience - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or any large-file scientific data pipeline - Helm, Flux, Terraform; Prometheus, Grafana, OpenTelemetry Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid Senior Software Engineer - SAR Processing Platform Role highlights: Job title: Senior Software Engineer - SAR Processing Platform Location: Espoo, Finland Department: SAR Processing Platform Reports to: SAR Processing Platform Team Lead Employment type: Permanent Workplace model: Hybrid : 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Software Engineer, you’ll shape the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, running in the cloud and on on-premises clusters at customer sites, and you’ll help decide where it goes next. The hard problems are scheduling and routing under cost and latency constraints, data integrity across a multi-step pipeline, safe rollouts across many environments, and keeping a system that processes every ICEYE image reliable with a small team. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Own the design of the orchestration layer (scheduling rules, routing between processors, failure handling and resource planning) and build and maintain the backend services and processing workflows behind it. Write the design, argue it with production data, and land it in stages. - Lead incident response for processing incidents, run cross-team root-cause work with the SAR processing and other engineering teams, and make sure postmortem actions close. - Drive platform-wide changes across repositories and environments: multi-release rollouts across cloud and on-prem clusters, migrations that never lose data on first rollout, gradual rollouts and quality gates. Harden access to the platform with least-privilege access to data stores, audit logging across services, and access reviews with Security Engineering. - Review designs and code, pair on hard debugging, and raise the bar on tests, documentation and runbooks. Represent the platform toward SAR processing, other engineering teams, product, DevOps and on-prem customers: turn requests into prioritized work with a business case, and push back with data when needed. What we’re looking for Must haves: - 5+ years of backend software engineering, including building and operating distributed systems in production, with strong Go plus strong Python or Rust - Deep hands-on Kubernetes experience (resource management, scheduling, node pools and autoscaling, Helm), plus AWS (S3, IAM, EKS) and Terraform - PostgreSQL at depth (performance, zero-downtime migrations, query design) and experience with event-driven and batch pipelines: idempotency, at-least-once delivery, backpressure, large objects in S3 - A track record of running production (incident lead, reliability improvements you can quantify) and strong written design communication: you can lay out options, back a choice with data and get a team to agree. Fluent English, a collaborative mindset in a distributed team, and pragmatic use of AI/LLM tools in daily development Nice to haves: - Argo Workflows or another workflow engine at scale; NATS or Kafka; Rust for data-intensive tooling - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or SAR specifically; on-premises Kubernetes (RKE2 or similar) and restricted deployments - GitOps and observability (Flux and Helm; Prometheus, Grafana, OpenTelemetry); security work such as IAM reviews, audit logging and pentest remediation Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Санкт-Петербург Основная задача деятельности департамента - управление развитием Цифровой платформы для Сбера , обеспечение стандартов сопровождения и надёжности Платформы банка. Мы обеспечиваем сопровождение общих ИТ сервисов для бизнес блоков и функциональных блоков банка, совершенствуем производственные процессы и управляем инженерной трансформацией. Обязанности ### Твои задачи: * сопровождение АС в промышленной эксплуатации (PROD/ПСИ/ИФТ), поддержание SLA * мониторинг, реагирование на алерты, расследование и устранение инцидентов * проведение релизов и изменений: деплой, конфигурирование, откат версий * управление ресурсами кластера: capacity planning, квоты, лимиты, стоимость владения * ведение документации: runbooks, инструкции по аварийному восстановлению, схемы взаимодействия * периодическое дежурство по графику * внедрение улучшений: автоматизация рутинных операций, устранение повторных инцидентов. Требования ### Мы ожидаем, что у тебя есть: * опыт сопровождения промышленных систем от 3 лет * опыт эксплуатации систем с требованиями к отказоустойчивости и конфиденциальности (банковский/финансовый/госсектор — преимущество) * linux (RHEL-семейство; опыт с Astra Linux / RED OS — преимущество): опытный пользователь * сети: TCP/IP, DNS, TLS/сертификаты. **Будет плюсом:** * уверенное знание архитектуры Kubernetes/openshift: Pod, Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap/Secret, RBAC, NetworkPolicy * основы CI/CD: GitLab CI и/или Jenkins, GitOps-инструменты (ArgoCD/Flux) — понимание и сопровождение пайплайнов * prometheus, Grafana, Alertmanager: настройка дашбордов, метрик RED/USE, правил алертинга * bash и/или Python для скриптов сопровождения и автоматизации рутины; * kafka, Redis — сопровождение смежных компонентов * ITIL-процессы (инциденты, проблемы, изменения), опыт работы в ITSM-системе. Условия ### Работа в Сбере - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Remote - United States 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 Token Factory is hiring a Product Manager for new model launches. We bring the newest state-of-the-art models to production, often on day-0 as a launch partner to frontier and emerging AI labs. Reporting into the product organization, you’ll own end-to-end delivery and work with engineering, billing, legal, marketing and our partners to ensure timely and quality model launches on the platform. You’re welcome to work remotely from the United States Your responsibilities will include: Own end-to-end execution of new model launches on Token Factory, from intake and kickoff to public release and post-launch activities. Ensuring every model launches on time and with quality. Coordinate across engineering, billing, legal and marketing to ensure all deliverables that each launch depends on are ready, such as: model metadata, serving configuration, pricing, licensing and GTM communications. Responsible for the quality of every model release through hands-on QA validation of inference, configuration and metadata and third-party integrations. You drive remediation of any gaps or defects identified to ensure model launch quality. Act as the operational point of contact for model partners during a launch, aligning scope, timing, access to model assets and post-launch follow-up so that day-0 launches land cleanly. Keep stakeholders informed with regular status updates, and report on post-launch traction and economic performance. Maintain and improve model launch operating procedures: runbooks, intake criteria, templates and onboarding materials and acceptance gates. Run retrospectives to gather insights and opportunities that feed back into that process-improvement loop. Coordinate issues, escalations and questions for upcoming and recently launched models, including support escalations, known issues and duty coordination for model problems. We expect you to have: 5+ years in a product, engineering or similar role shipping software, AI or other developer-facing products/services. Ability to navigate technical and procedural friction across time zones and team boundaries, to support, communicate or escalate as needed. Effective communication skills: provide concise status updates, work with internal stakeholders and external partners, run weekly meetings and write clear documentation. Understanding of how models are served and consumed: architectures, serving configuration, quantization, GPU hardware and the OpenAI API schema standard. Adept with AI agents and skills. You’ll set up workflows with existing tools to retrieve data, run checks and keep internal operations moving. You understand how to use AI safely and effectively, verify its output, and recognize when a non-AI approach is the right decision. Technical fluency to work with APIs, read configuration and template files, familiarity with Git and CI/CD pipelines and modern software delivery practices. It would be an added bonus if you have: Software development experience. Experience with LLM inference serving: engines, quantization, benchmarking. Understanding of Kubernetes, Helm charts and autoscaling. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD 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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide. Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation. Within Helix, you’ll join the AdExperience squad—a focused team of Senior Product Managers, QA/Release Engineers, and five exceptional Senior Engineers specialized in backend and mobile SDK development. Together, you will push the boundaries of iOS SDK architecture and champion modern, agentic AI workflows to set new industry standards. ROLE We’re looking for a visionary and talented Senior iOS Engineer to join our dynamic, passionate, and committed to excellence team at the forefront of advertising technology! As a Senior iOS Engineer, you will drive the development of cutting-edge SDKs, influencing the experience of millions of users across diverse devices. A pivotal member of our engineering team, you will help shape the direction of our iOS technical efforts while serving as a high-impact, hands-on individual contributor. - Technical Vision & Code Standards: Guide the technical direction for our iOS projects. Drive innovation, establish architectural best practices, and ensure the highest standards of code craftsmanship across our codebase. - AI Usage & Agentic Workflows: Raise the bar in AI adoption across the team—actively integrating agentic workflows, LLMs, and AI-driven automation tools to solve complex challenges and elevate developer productivity. - Code Excellence: Craft robust, maintainable, and high-performance code that sets industry benchmarks as a senior hands-on individual contributor. - Collaborative Code Reviews: Actively participate in thorough code reviews, fostering a culture of continuous technical improvement and knowledge sharing within the engineering team. - Architectural Decisions: Make critical decisions regarding the architecture and technical stack of our iOS SDKs and applications to ensure long-term stability and scalability. - Quality Assurance: Guarantee the enduring quality and reliability of our iOS projects through rigorous testing, performance profiling, and continuous integration practices. PROFILE - 6/7+ years of experience in mobile software development. - 5 years minimum in Swift. - Strong proficiency and proactive mindset towards leveraging AI technologies (e.g., agentic AI, LLMs, AI coding assistants) to enhance software development efficiency and code quality. - Excellent problem-solving, critical thinking, and communication skills. - Demonstrated ability to make critical technical decisions independently. - Extensive experience in writing robust, maintainable, and high-performance Swift code. - Writing efficient unit tests, integration tests, and UI tests. - In-depth knowledge of iOS development tools, frameworks (SwiftUI, Combine, and CoreData), and best practices (MVVM, Protocols, Delegates). - Excellent level of spoken English. NICE TO HAVE - Previous experience in the AdTech industry or in mobile ads integration. - Experience with SDK development and a deep understanding of the challenges and opportunities in this space. - Experience in Objective-C, Kotlin, Node. - Practical experience setting up or customizing AI developer agents and automated AI workflows. - Experience in optimizing App performance, reducing memory footprint, and decreasing package size. - Experience in deploying iOS frameworks on CocoaPods. - Experience in deploying iOS applications with CircleCI and Fastlane. - Working knowledge of remote APIs, concurrency, layouts, transitions, animations. OUR STACK ⧫ Xcode ⧫ Swift ⧫ Objective-C ⧫ SwiftUI ⧫ Combine ⧫ CoreData ⧫ GitHub ⧫ CocoaPods ⧫ CircleCI ⧫ AWS ⧫ AI Coding Tools & Agentic Workflows BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. IN THIS ROLE, YOU WILL - Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. - Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. - Solve challenging engineering problems involving system architecture, performance, scalability, reliability, and operational efficiency. - Make thoughtful architectural decisions, evaluating tradeoffs between performance, complexity, maintainability, and long-term scalability. - Proactively identify technical challenges and opportunities for improvement, including problems without clearly defined requirements or established solutions. - Stay hands-on with engineering, contributing production-quality code, reviewing designs, and helping resolve complex technical issues. - Collaborate with engineers and technical leaders across teams to influence technical direction, establish engineering standards, and drive improvements. - Share technical knowledge, mentor other engineers, and help strengthen engineering practices across the organization. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving difficult technical problems where the solution isn't immediately obvious. - Like designing and building systems that operate reliably at scale. - Thrive on taking ownership of complex engineering challenges, from initial design through production. - Balance hands-on engineering with technical leadership and enjoy influencing decisions without formal authority. - Think critically about architectural tradeoffs and favor pragmatic, maintainable solutions over unnecessary complexity. - Take initiative in identifying important problems rather than waiting for projects to be assigned. - Enjoy collaborating with talented engineers, sharing knowledge, and raising the bar for engineering quality. - Find satisfaction in shipping meaningful improvements and seeing the impact of your work in production. QUALIFICATIONS - 8+ years of software engineering experience, with a strong background in designing, building, and operating distributed systems or infrastructure. - Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Go, Java, or a comparable language. - Experience designing and implementing technically complex systems, with a track record of delivering meaningful engineering outcomes. - Hands-on experience with cloud infrastructure and services, such as AWS, GCP, or Azure. - Demonstrated ability to independently own complex technical projects, navigate ambiguity, and drive solutions from design through production. - Deep technical experience in one or more of the following areas: - Cloud Infrastructure: Kubernetes, container orchestration, Terraform, infrastructure as code, networking, or service discovery. - Distributed Systems: Distributed architectures, fault tolerance, consistency, replication, or high-availability systems. - Data Infrastructure: Kafka, real-time streaming, distributed storage, OLAP/OLTP databases, or large-scale data processing. - Infrastructure Reliability: Observability, performance optimization, capacity planning, incident response, or production operations. - Developer Infrastructure: CI/CD systems, build and deployment infrastructure, developer environments, or internal developer platforms. - Strong architectural judgment, with the ability to evaluate technical tradeoffs and design systems for reliability, performance, and long-term maintainability. - Ability to communicate complex technical concepts clearly, collaborate effectively, and influence technical decisions across engineering teams. - Experience improving engineering practices, sharing technical knowledge, or helping other engineers grow. We recognize that strong engineers come from different backgrounds. You don't need experience in every technology or domain listed above. We're interested in candidates who bring meaningful technical depth, strong engineering judgment, and a track record of solving challenging problems. The base salary range that Sentry reasonably expects to pay for this position is $240,000 to $400,000, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote - Canada Narvar is Growing! We're looking for a leader to own the machine learning systems behind post-purchase commerce — identity, fraud, and the intelligence layer that agentic AI runs on. Hundreds of millions of consumers interact with Narvar every year, across 20B+ orders and 1,300+ retail brands. That data powers three systems: Graphite , our identity resolution engine that ties fragmented consumer data into a single verified identity across retailers; IRIS , our fraud and returns-abuse detection engine built on top of it. You'll own the ML organization behind all of it — the models, the platform they run on, and the people who build them. This is a role for someone who wants a system with real consequences: fraud decisions that move retailer margin, identity resolution that agents make automated decisions on, and an adversary on the other side who adapts every quarter. For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote. Day-to-day Own the ML charter across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence — strategy, roadmap, and delivery Build and grow a high-performing, globally distributed team of ML engineers; hire, coach, and develop senior ICs and managers Set the technical bar for how models get built, evaluated, deployed, and monitored — and hold the org to it Push identity resolution coverage, precision, and profile classification accuracy against a measured, frozen-holdout baseline — not against vibes Own IRIS model performance end-to-end: detection rate, false-positive rate, label quality, and the feedback loops that keep both honest as fraud patterns shift Build the ML platform layer — feature stores, training pipelines, model registry, online serving, drift and performance monitoring — so model velocity isn't bottlenecked on infrastructure Partner with the AI engineering team so identity and risk signals are first-class inputs to NAVI's agent decisions Work directly with Product, Engineering, Security, and Customer Success to translate messy retailer problems into ML problems worth solving — and to say no to the ones that aren't Own build-vs-buy and data-partner decisions (third-party identity data, enrichment providers), including the economics Communicate model performance, risk, and tradeoffs credibly to executives, retailers, and the board What We're Looking For We care more about judgment and ownership than credentials. You're likely a strong fit if you: Have 12+ years in engineering with 5+ years managing ML or data teams, including managing managers or senior ICs Are an engineer at heart — you can still read a training pipeline, review a feature spec, and tell when an eval is measuring the wrong thing Have shipped ML systems that make consequential automated decisions in production, and have owned them after launch — drift, retraining, incidents, and all Have deep experience with at least one of: entity resolution / identity graphs , fraud and abuse detection , risk scoring , or anomaly detection at scale Understand what makes ML different from software: labels are noisy and delayed, systems fail silently, offline metrics lie, and last quarter's model is fighting last quarter's adversary Have opinions about evaluation — precision/recall tradeoffs on heavily imbalanced data, holdout hygiene, feedback loops where the model's own decisions contaminate future labels Have built or scaled ML infrastructure: feature pipelines, training orchestration, online model serving with real latency budgets, monitoring and alerting Are fluent in Python and comfortable in a modern data stack (Spark, Airflow or equivalent, streaming, cloud data warehouses — we run on GCP) Have hired well, retained well, and can point to engineers whose careers got better on your watch Excel in a fast-paced environment with a flat structure — you set direction by earning trust, not by mandate Have a BS/MS in computer science, statistics, or an equivalent background Bonus points These aren't hard requirements, but strong indicators: You've worked on identity resolution or graph systems against third-party consumer data (credit bureau, telecom, or similar), including the matching logic and confidence scoring underneath You've operated adversarial ML systems where attackers actively adapt to your detection You've built real-time inference paths where identity or risk has to be resolved inside a request budget You've worked in retail, payments, fintech, insurance, or marketplace trust & safety You've partnered closely with LLM/agent teams and understand how structured ML signals ground agentic decisions You've navigated privacy, consent, and data-governance constraints on consumer identity data You've done 0→1 — stood up a function, a platform, or a data partnership from nothing You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking Why ML at Narvar? Because the data is genuinely rare and the problems are genuinely hard. The dataset is a moat. Cross-retailer visibility across 20B+ orders means we can see coordinated fraud patterns no single retailer can — a returns abuser hitting five brands looks like a good customer at each one. The problem is adversarial and unsolved. Returns fraud and policy abuse are growing faster than retail itself, and the counterparty adapts. There is no off-the-shelf answer. The stakes are measurable. Fraud loss, false-positive cost, identity coverage, resolution rate. Not vanity metrics. It feeds something bigger. As AI shopping agents enter commerce, every agent will need a trust layer for returns, claims, and delivery promises. Identity and risk are that layer — and you'd own it. The work is greenfield enough to matter. Real-time resolution, cold-start modeling, historical backfill, new data partnerships — these are decisions still being made, not legacy you inherit. Why Narvar (from an engineer's perspective)? Real scale, real customers, real consequences Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across Canada. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Salary Range $240,000 — $260,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Java Engineer Principal Colombia Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization Develop and maintain advanced SQL queries and data workflows to support business and platform requirements Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable Develop and maintain robust APIs for internal and external consumers Work with AWS cloud services to design and support reliable, scalable backend systems Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity Implement and maintain automated testing strategies (unit and integration) Contribute to and maintain GitHub Actions pipelines Ensure system reliability through monitoring, logging, and observability best practices Collaborate effectively in a distributed team, communicating progress, risks, and dependencies Take ownership of features end-to-end, from design through deployment and production support What you need for this Mandatory 9+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, and Docker 5+ years of hands-on experience with AWS core services and cloud-native application development. 4+ years of experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms. Strong experience with microservices, MVC, and event-driven architectures Strong experience with JPA / Hibernate Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning Solid test automation experience using JUnit and Cucumber Hands-on experience with GitHub Actions and/or similar CI/CD tools Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English Ability to provide full overlap with US Central Time (CT) on business days On-call support: Willingness to provide off-hours or weekend production support when required Nice to Have Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets. Experience processing, enriching, or analyzing event and telemetry data at scale. Experience with AWS CloudFormation. Experience with jOOQ and Flyway. Experience with BigQuery or Databricks. Experience with Spring Cloud. Experience working with geospatial data (PostGIS). Experience supporting large-scale data platforms, reporting systems, or business analytics products. Experience working with distributed data processing or data pipeline technologies. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AWS ETL Java RESTful SpringBoot

Location: Home-based, Mauritius Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Are you ready to be at the heart of a global fintech leader? Checkout.com http://Checkout.com is seeking a forward-thinking and technically curious Operations Center Engineer I to join our cutting-edge Global Operations Center. This is not your typical support role. You will be a vital part of the team that ensures the stability, performance, and security of the core infrastructure that powers our global platform. Forget waiting for things to break. As an Operations Center Engineer, you will proactively monitor our complex hybrid environment, identify potential issues before they impact our services, and contribute to the automation that keeps us running at peak performance. You will gain hands-on experience with industry-leading technologies like AWS, Cisco networking, and Terraform, making a tangible impact on a global scale. If you are a problem-solver with a passion for cloud and infrastructure technologies, we want you on our team. What You Will Be Doing: - Proactive Monitoring & Incident Management: Serve as a first responder for alerts from our sophisticated monitoring systems, analyzing and troubleshooting issues across our cloud (AWS) and on-premise (Cisco) infrastructure. - Infrastructure Operations: Take ownership of incidents, working with senior engineers to resolve complex technical issues and prevent recurrence. - Automation & Efficiency: Utilize and contribute to our Infrastructure-as-Code practices, with opportunities to work with tools like Terraform to automate responses and deployments. - Collaborative Problem-Solving: Work closely with Engineering, Security, and Application Support teams to ensure swift resolution of any service-impacting events. - Process Improvement: Adhere to and help refine our ITSM and operational processes, ensuring we maintain the highest standards of service delivery and availability within our SLAs. - Global Impact: Communicate effectively with stakeholders across the business during incidents and provide clear, concise updates. About You: - A degree in IT, Computer Science, Engineering, or a related field is a strong asset. - While we welcome promising fresh graduates, 1-2 years of experience in a Systems, Network, Security, or NOC role would be an advantage. - Foundational knowledge of cloud technologies is essential; hands-on experience or certifications in AWS are highly desirable. - Familiarity with Cisco environments is a plus. - Exposure to or a strong desire to learn Infrastructure-as-Code principles and tools like Terraform. - Familiarity with monitoring tools (e.g., Datadog, Grafana, Prometheus, Nagios) and their role in a proactive operational environment. - Excellent troubleshooting skills across Windows and Mac OS environments. - A collaborative, can-do attitude with strong communication skills and the ability to perform under pressure. - A deep-seated curiosity and eagerness to learn and grow in a fast-paced, global technology company. - Flexibility to work on a 24/7 shift rotation, including weekends and public holidays, to ensure continuous global operations. Join us at Checkout.com http://Checkout.com to build the future of commerce. If you are ready to launch your career in a forward-looking operational role and move beyond traditional support, apply now! Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Responsibilities: — Design, build and maintain backend services in Go with clean, idiomatic, and readable code — Design gRPC and REST APIs, maintain stable contracts, and version them when changes occur — Write efficient PostgreSQL queries, design schemas, and create safe, reversible migrations — Properly use goroutines, channels, and context to avoid leaks and ensure correct timeouts and cancellations — Handle errors explicitly, including retries and idempotency for repeatable calls — Write unit and integration tests covering business logic and failure cases — Implement structured logging, metrics, and health checks for problem diagnosis — Ensure service security by validating input, authenticating callers, and keeping secrets out of code and logs — Profile and optimize CPU, memory, and database load as needed — Write concise technical documentation for owned APIs and services — Review teammates' pull requests to maintain code consistency Requirements: — 1–3 years of commercial backend development experience in Go — Experience building or maintaining at least one production service in Go (REST or gRPC) — Proficiency with PostgreSQL including queries, indexes, and migrations — Experience using Docker and writing Dockerfiles — Basic Kubernetes knowledge is a plus — Experience integrating third-party APIs, preferably payments or webhooks — Familiarity with Git and pull requests in a team environment — Required skills include Go concurrency primitives (goroutines, channels, context), error handling, REST API design, gRPC and Protobuf knowledge, PostgreSQL SQL queries and migrations, Docker, Git, unit testing in Go, HTTP basics including JWT authentication, and Linux basics Nice to have: — Kubernetes basics (pods, deployments, logs via kubectl) — Experience with payment providers (Click, Payme, Uzum) or webhooks — Experience with message queues such as RabbitMQ, Kafka, or NATS — Redis — CI/CD with GitHub Actions — Monitoring tools like Prometheus or Grafana — Experience with Helm, ArgoCD, or other GitOps tools — Experience with HashiCorp Vault or other secrets managers — Experience with IoT or hardware integrations (barriers, cameras, ANPR) — Experience with payment providers and fiscal requirements — Networking experience including tunnels, VPNs (IPsec), and load balancers — Some knowledge of C#/.NET Soft Skills: — Takes responsibility for results beyond just completing tasks — Proactively asks for help when stuck — Communicates clearly about progress and blockers — Accepts code review feedback calmly — Learns new tools quickly — Pays attention to detail, especially in payment logic — Works well in a small team Candidate Assessment Process: 1. CV review including GitHub within 3 working days 2. Short call (20–30 minutes) discussing experience and role 3. Technical interview (60–120 minutes) covering Go basics, concurrency, PostgreSQL, REST/gRPC, and a live coding task 4. Final interview (30 minutes) with team lead discussing work style and offer Apply https://hh.uz/vacancy/139299572