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Location: Commercial Point, OH $750 Sign-On Bonus | Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits What the Role Is At Babylist, we help families prepare for one of the biggest moments of their lives — and our Commercial Point Fulfillment Center is where that promise becomes real. As a Forklift Operator , you're a core part of making that happen. You'll move product accurately and safely across our distribution center, working alongside a team that genuinely looks out for each other. This is a role where skilled, dependable people are valued — and rewarded for it. The schedule for this role is Friday through Sunday 6:00am - 6:30pm at our Fulfillment Center located in Commercial Point, OH. About Pay At Babylist we believe in competitive starting pay and a clear, structured scale that rewards performance and tenure. You'll always know how your pay grows. Starting pay for this role is $22.50 per hour. You'll earn a raise every 3 months through your first 18 months with no waiting on an annual review to see your pay move. Sign-On Bonus Earn a $750 sign-on bonus, paid on your first payday after 90 days of employment. You must be actively employed on the payment date to receive the payment. Shift Differential Weekend shift: additional $1.75 per hour Holidays Observed The Fulfillment Center is closed on the following days for the weekend shift in 2026: Christmas Day New Year's Day (2027) All shifts receive 4 floating holidays in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be. Who You Are Certified and experienced on multiple lift types — you're comfortable on a Reach Truck, Cherry Picker, Stand-Up Forklift, and Sit-Down Forklift (3+ years on each) Safety is non-negotiable for you — you follow protocols because you understand why they exist, not because someone's watching Steady and dependable — your team counts on you to show up, stay on task, and keep things moving even when volume spikes Adaptable across zones and tasks — shifting priorities don't throw you; you read the floor and adjust A real teammate — you communicate clearly, flag issues early, and help others hit the shared goal How You Will Make an Impact Move, locate, stack, and count materials throughout the distribution center using the full range of lift equipment Load and unload trailers safely — keeping outbound on schedule and inbound organized Support both inbound and outbound operations with accurate, timely material handling Perform pre-shift equipment inspections and flag maintenance needs before they become problems Keep your work area clean, organized, and hazard-free — every shift, not just when audited Step in to support other warehouse functions when the floor needs it Physical Requirements Stand and walk for extended periods (up to 10–12 hours per shift) with scheduled breaks Walk the floor extensively, averaging 10,000+ steps per day Lift and move items up to 20 lbs regularly throughout the shift Frequent pushing, pulling, bending, twisting, and repetitive motion Who We Are At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day. Our Ways of Working Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families. Why You Will Love Working At Babylist Our Culture Work hard, then recharge — we respect your time on and off the clock Strong management team that supports you and your team The work you do helps millions of families every day We use smart technology to make the job easier and more efficient Growth & Development Clear paths to move up — we promote from within and your performance matters We use data to improve how we work and invest in the people doing it Pay & Benefits Competitive pay $750 sign-on bonus, paid after 90 days of employment Company-paid medical, dental, and vision insurance 401(k) with company match and flexible spending accounts Paid parental leave and PTO Important Notices Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity AI is part of how we work at Babylist — and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.

Location: Yerevan, Armenia About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain. (REQ ID: 2997)

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Systems Engineer, Data and Integrations to join our Systems Engineering team and own the data that runs Fivetran's business. In this role, you will learn the data models behind our sales, billing, and customer operations, design how data should be structured to support those processes, and build the transformations and pipelines that move data reliably between our internal systems. This position sits at the crossroads of data engineering, data modeling, and business process, ensuring our internal data is accurate, well-structured, and ready to scale. You will partner closely with our Systems and Analytics Engineering teams, as well as Sales Operations, Finance, and other business partner teams. This is a full-time position based out of our Novi Sad, Serbia office. Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with Salesforce at the center of our sales and billing data. Our current integration stack includes Celigo and Fivetran itself. Working knowledge of one or more of our business applications, with a desire to keep learning, is necessary. You should also be fluent in SQL and strong in a general purpose programming language such as Python or Typescript. A data engineering background is strongly preferred, with proficiency in data modeling, ETL/ELT development, data quality testing, and data validation. Help us bring established data engineering practices to internal business systems! What You’ll Do Learn the data models behind Fivetran's sales, billing, and product operations, and document how business concepts map to data in our core systems. Design target data models and field mappings when consolidating or migrating data between systems. Build, test, and execute the SQL and Python transformations that reshape and load business data, including bulk migrations and ongoing pipelines. Define and enforce standards for data quality, data modeling, and governance across internal systems. Validate data before and after migrations and pipeline changes, reconciling record counts, values, and business rules with stakeholders. Build monitoring, alerting, and data quality checks that give end-to-end visibility into data freshness and accuracy. Work with business partner teams to understand their processes and translate requirements into data models and transformations. Investigate and resolve data issues raised by other teams, often requiring root cause analysis across multiple systems. Skills We’re Looking For 5+ years of experience in Data Engineering or Analytics Engineering roles, with a focus on modeling and transforming business data. Strong SQL proficiency is required, including complex transformations and data reconciliation. Proficiency in a general purpose programming language is required. Working knowledge of business applications such as Salesforce, Netsuite, Coupa, Workday, and Zendesk. Experience with ETL/ELT development and data quality testing. Ability to learn a business domain quickly and align data modeling decisions with business requirements. Strong communication and collaboration skills with both technical and non-technical colleagues. Bonus Skills Experience with dbt or a similar transformation framework. Hands-on experience with the Salesforce data model, ideally including a data migration, org merge, or major re-implementation. Familiarity with iPaaS platforms and reverse ETL tools, their capabilities, and tradeoffs. By stepping into this role, you'll own the quality, structure, and reliability of the data that powers Fivetran's key business processes! Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). (REQ ID: 2997)

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, y ou will also be responsible to: Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. Work on runtime-level components operating under high concurrency and throughput. Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. Improve execution engine for custom third-party code (isolation, performance, feature extensions). Modernize runtime components with focus on modularity, structured architecture, and observability. Improve trigger configuration and execution across webhooks and polling mechanisms. Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. Own initiatives end-to-end, from design to rollout and production support. Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills Strong experience in building scalable distributed backend applications (7+ years). Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. Good understanding of network protocols and stacks. Good understanding of DB technologies: classic databases and modern no-SQL. Knowledge of basic data structures and algorithms and how they are used is a must. Multilingual programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust. Excellent debugging, analytical, problem solving, and social skills. BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience. Readiness to work remotely with teams distributed across the world and timezones. Nice to Haves Background in network programming. Background in application, data security. Deep knowledge of physical DB design. Experience of working with Docker and other isolation technologies. Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud). Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc). Experience in building/deploying data processing pipelines is a plus. Experience of working with third-party REST APIs at scale (request throttling, batch processing etc). Location: Remote — We are hiring candidates based in Germany, Armenia, Georgia, Portugal, Poland, the Netherlands, Serbia, Armenia, Georgia, Greece, and Spain. (REQ ID: 2997)

10+ лет в продукте и 3+ года на руководящей позиции (Head of Product / CPO) с командой от 50 человек.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Running the Engine Behind 200M+ Daily Ad Decisions Behind every ad decision at adjoe is a system designed to operate at massive scale, serving more than 770 million mobile users every year. The Demand API Integrations team owns the systems that connect our platform to the global adtech ecosystem, handling over 5.5 billion API requests daily across installs, events, views, clicks, and postbacks from Mobile Measurement Partners. We operate a dedicated A/B testing environment against live traffic to validate system behavior under real-world conditions, allowing us to evaluate advertiser integrations, benchmark partner performance, and verify attribution accuracy end-to-end before deploying globally. We integrate TensorFlow-based ML models to predict user engagement and purchase likelihood, directly influencing real-time ad distribution. To meet our strict 100ms latency constraint, we prioritize efficient model serving, low-latency data access, and deliberate system design. Your Mission & Who We Are Looking For - High-Scale Backend Product Leadership: You will own the roadmap and backlog for the campaign distribution engine that serves over 200 million daily mobile users, balancing rapid business feature requests with long-term platform integrity. We are looking for someone with 5+ years of experience as a Product Lead (preferably in B2B SaaS) managing backend-heavy, high-load systems who can navigate ambiguity and drive product delivery end-to-end. - Technical & Data Fluency: You will partner daily with software engineers, BI analysts, and data scientists to translate business objectives into functional requirements, assess feasibility, and leverage ML models for campaign optimization. You understand APIs and database architectures (like Druid) well enough to evaluate technical trade-offs, debate implementation details directly with engineers, and translate complex mechanics for commercial stakeholders. - Hypothesis-Driven Experimentation: You will maximize publisher revenue and campaign matching efficiency by validating product hypotheses before spending engineering capacity. We need a product leader who systematically defines success metrics, runs and evaluates A/B tests, and uses quantitative performance data to either iterate on winning logic or cut underperforming initiatives early. - People Management & Team Growth: You will lead the Demand Integrations product function, running regular 1-on-1s, driving career planning, and hiring new talent to scale the team. We are looking for an experienced people manager who mentors team members in product thinking, delivery accountability, and commercial ownership. - Hands-On AI Prototyping: You will accelerate product discovery and requirements definition by building functional proof-of-concepts yourself rather than waiting on dev cycles. You must be fluent enough with modern AI tooling to independently build and demonstrate a working prototype of a feature. - Pluses (Technical & AdTech Background): Direct experience in the AdTech ecosystem or a formal technical background gives you a head start in understanding our external partner integrations, auction dynamics, and high-throughput data pipelines. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally. - Go Big. Own commercial initiatives that move revenue and expand adjoe's market position. - Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately. - Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low. - Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices. - Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do. We welcome applications from people who will contribute to the diversity of our company.

Location: Kyiv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for a new team member to join our System devisions as Java Developer. The System Division is responsible for building and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for multiple platforms, ensuring that all system components work together as a unified ecosystem. The division works with Java, Kotlin, Swift, C, C++, and Python. It includes embedded, cloud, mobile, and desktop engineers who ensure the stable operation of Ajax as a single digital platform. Required skills: 5+ years of commercial experience in backend development with Java in an enterprise environment. Strong understanding of Java Concurrency and hands-on experience with concurrent programming in production systems. Solid understanding of SOA, microservices and event-driven architecture. Practical experience with cloud computing platforms. Experience building and supporting high-load, scalable and highly available systems; Hands-on experience with messaging brokers. Strong understanding of modern backend infrastructure, NoSQL, key-value databases and in-memory storage solutions. Practical experience with Kubernetes. Experience with Git, Gradle or othet CI/CD tools. Strong knowledge of unit testing and automated testing approaches   Would be a plus: experience with these technologies: Redis, Netty, Akka, NATS, AWS, Kafka, MongoDB, gRPC. Practical experience with Kotlin. Desire to grow into a team leadership role. What you will do:   design and develop core backend services and data pipelines for the product line. Build clean, maintainable, and production-ready code with a strong focus on quality. Contribute to backend architecture, drive technical decisions and document solutions for reliable deployment and operations. Ensure proper test coverage with unit and integration tests. Take ownership of performance, scalability and cost efficiency within your domain. Maintain production reliability through monitoring, alerting, dashboards, and runbooks. Investigate and resolve production issues, including deep-dive analysis of complex cases. Work in a strong engineering culture with testing, continuous delivery and DevOps practices. Collaborate closely with product and engineering teams to deliver new features and improve existing services.   We offer:   The opportunity to suggest and implement your own ideas that directly influence the product and its mass production A place in a fast-growing company with a motivated and professional team Competitive salary Medical insurance English classes The opportunity to participate in Ajax’s internal beta-testing program for security systems  Discounts from partner companies Discounts on Ajax products

Основные задачи: Проектирование и развитие архитектуры frontend-приложений.

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production. Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#. Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail. Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation. Performance work below the application layer: profiling, memory, and concurrency tuning. Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew. You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where. Standards you set for reliability, reviews, and design documents outlive the project they started on. Engineers you mentor ship reliable services without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Limassol, LIMASSOL, Cyprus Spotware Systems is seeking a highly skilled Senior DevOps Engineer with extensive experience in supporting Java-based product environments . This role is ideal for someone who blends deep infrastructure knowledge with automation expertise, has a solid understanding of modern DevOps practices, and thrives in complex, distributed systems. You will be instrumental in ensuring scalability, reliability, and security across our production environments. Responsibilities Design, build, and maintain CI/CD pipelines using GitLab CI and Jenkins. Automate infrastructure and application deployments with Ansible . Manage Kubernetes clusters, including CNIs, networking, and troubleshooting. Deploy and manage services using Helm and helm-file . Implement and maintain monitoring and observability stacks (Prometheus, Grafana, Loki, VictoriaMetrics, ELK). Set up distributed tracing with OpenTelemetry . Profile applications and systems using tools like perf, pprof, and Java heap dump analyzers. Ensure security best practices across CI/CD, secrets management (Vault, Sealed Secrets), and static code analysis (SonarQube). Optimize containerization workflows, focusing on image layering, distroless builds, and runtime management (containerd, CRI-O). Manage networking in Kubernetes: Services, Ingress, NetworkPolicies, DNS, and external load balancer integrations. Troubleshoot complex networking issues using tcpdump, traceroute, Netstat, and other diagnostic tools. Contribute to infrastructure as code (Terraform, where applicable). Develop and maintain scripts and tools in Go, Python, Bash, and Groovy . Support and optimize Java-based microservices in production. Requirements 3+ years of experience in DevOps or SRE roles. Proven expertise with Helm , helm-file , and Ansible in production. Strong background supporting Java-based microservices . Hands-on experience with GitLab CI and Jenkins pipelines. Deep knowledge of Kubernetes (core components, CNIs, networking). Strong understanding of Linux systems in production. Experience with monitoring and observability: Prometheus, Grafana, Loki, VictoriaMetrics, VictoriaLogs . Familiarity with distributed tracing using OpenTelemetry. Experience with secrets management (Vault, Sealed Secrets). Strong troubleshooting skills with networking (TCP/UDP, DNS, load balancing, ingress controllers) . Competency in Go, Python, and Bash scripting. Understanding of microservices architecture , event-driven architecture and the CAP theorem . Proven ability to support incident response and on-call rotations. Nice to Have Experience with Infrastructure as Code (Terraform) . Familiarity with Service Meshes (Istio, Linkerd). Knowledge of advanced networking (eBPF, Calico, Cilium, IPVS). Experience with profiling tools and JVM troubleshooting (Eclipse MAT, jmap). Exposure to CI/CD security best practices and static analysis tools like SonarQube. Working Conditions Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance. Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years. You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows. WHAT YOU'LL DO - Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts - Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity - Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity - Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud - Own the fleet's source of truth for hardware, software, and the physical environment - Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA - Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure - Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it WHAT WE'RE LOOKING FOR - Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation - Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management - Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions - Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail - Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt - Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP) - Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it - Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up NICE-TO-HAVES - Operating bare metal fleets at a scale of thousands of hosts - Experience on a bare metal or datacenter build-out from its early days - Running a hybrid environment, or moving workloads between public cloud and owned hardware - DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS - Building reconcilers or state machines for physical infrastructure - Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale - Building internal platforms or APIs used by other infrastructure teams - Based near our colocation sites, or able to visit them regularly If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for an experienced Senior Developer who combines strong React frontend skills with robust Python/Django backend expertise. This role offers the opportunity to work on cutting-edge solutions that are transforming the real estate technology sector. The ideal candidate will help build and optimize full-stack applications that enhance the apartment leasing experience for property managers and renters alike. Our client values proactive team members who are eager to dive deep into the multifamily real estate domain, understand the unique challenges of property management, and actively contribute to solving complex business problems. You’ll be expected to go beyond just coding to truly understand the client’s field, engage with their business challenges, and take ownership of delivering solutions that make a real impact. DataArt is seeking a talented Senior Full-Stack Developer with strong React and Python expertise to join our team for an exciting project with our client, a leading proptech company that is revolutionizing the apartment rental process through innovative technology solutions. Our client provides AI-powered leasing automation, renter communication tools, and operational intelligence for multifamily property management companies. They are at the forefront of digital transformation in real estate, helping property managers streamline operations, enhance renter experiences, and make data-driven decisions through cutting-edge technology that automates routine tasks and provides actionable insights. Design responsive and user friendly web applications using React.js and modern JavaScript Build and maintain backend services using Python and Django Create reusable React components and implement state management solutions Develop and optimize RESTful APIs and microservices architecture Ensure integration between frontend and backend systems Collaborate with UX UI designers to implement accessible interfaces Optimize application performance for fast load times and smooth user interactions Identify opportunities for product improvement and innovation Analyze the property management domain to understand user needs and pain points Ensure code quality, performance, and security practices across the full stack 5 plus years of professional experience in full-stack development Experience with React.js, including hooks, Context API, and modern React patterns Proficiency in JavaScript, TypeScript, HTML5, CSS3, and responsive design Experience with Python and Django for backend development Experience with state management libraries such as Redux, MobX, or Context API Understanding of RESTful service architecture and API design Experience with frontend build tools such as Webpack, Vite, or similar tools Familiarity with frontend testing frameworks such as Jest and React Testing Library Experience with Git and CI CD pipelines Ability to solve technical problems with attention to detail Ability to understand business context and domain specifics Communication skills for working in a distributed team environment English proficiency at B2 level or higher Experience with LLM API providers such as OpenAI and Anthropic Knowledge of LangSmith or similar AI ML observability tools Experience in the PropTech or Real Estate industry Knowledge of cloud platforms such as AWS, Azure, or GCP Experience with containerization using Docker and Kubernetes Familiarity with GraphQL Experience with Next.js or other React frameworks Knowledge of UI UX design principles and tools such as Figma and Sketch Experience working with stakeholders to gather requirements and translate them into technical solutions

Location: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.

Location: Farmers Branch, TX Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. At LG we make products and services that make lives better, easier, and happier through increased functionality and fun. Put simply, we offer the latest innovations to make "Life Good" - from home appliances, consumer electronics, vehicle components and mobile communications to business innovations in digital signage, air conditioning, solar and LED lighting. As a global leader, we strive for greatness in product leadership, market leadership and people leadership to realize our growth strategies. Job Summary The Area Technical Specialist will serve as a key technical resource and liaison for HVAC Contractors, Distributors, and Manufacturer Representatives. Responsibilities include providing expert technical guidance via phone and email, resolving escalated system issues, technical training, and ensuring customer satisfaction utilizing case management. This role involves interpreting wiring schematics, troubleshooting Variable Refrigerant Flow (VRF) systems, and conducting critical software and hardware updates. The Area Technical Specialist will also coordinate jobsite visits, be directly responsible for regional success of assigned customer service champions and assist in the development of training materials. A strong ability to network and foster relationships with staff and partners is essential. Support for all residential and commercial products are required. The Opportunity Develop regional service support strategies & actions through the LG Preferred Service Champion Program. Manage all aftermarket support activities within assigned region. Interface with building owners, general contractors, and service champions on technical matters. Provide direct technical guidance via phone, email, and case support for HVAC Contractors, Distributors, Manufacturer and Applied Reps to facilitate timely resolution of system issues and ensure customer satisfaction. Read, understand, and interpret wiring schematics and refrigerant circuit diagrams to convey information to customers. Coordinate with Technical Support, Escalation Lead, Engineering and Controls team members to provide direction and resolve escalated technical field issues. Arrange for and facilitate supervised technical assistance for HVAC Contractors, Distributors, Manufacturer and Applied Reps for unresolved technical issues. Interact directly with HVAC Contractors, Distributors, Manufacturer and Applied Reps for coordination of jobsite visits. Utilize and instruct HVAC Contractors, Distributors, Manufacturer and Applied Reps in proper utilization of LG proprietary software for the purpose of assessing equipment selection, application, and troubleshooting. Review and analyze application of Variable Refrigerant Flow (VRF) Commercial & Residential & Light Commercial (RLC) Systems which includes load verification duties as needed. Perform critical software and hardware service updates to equipment in inventory or in the field as required. Schedule and conduct onsite service, training, and installation support of all LG HVAC equipment for LG Sales channel partners. Research and provide accurate technical information for use in the development of technical training material. Generate and conduct technical training sessions in both classroom and jobsite settings. Conduct technical review and guidance for factory literature and distribution of technical service bulletins. Support aftermarket rework projects as needed. Network with regional sales staff fostering technical relationships within respective coverage regions. Review extended warranty submissions within KPI target of (5) days ensuring equipment entered for extended warranty is optimally functional and operating correctly. Qualifications HVAC Vocational Diploma, Bachelor, or Associates Degree preferred. Minimum 15-20 years’ experience in the HVAC field or in a technical support role. Minimum of 3-5 years' experience supporting LG VRF & RLC systems in a technical support role. Capable of managing regions and assigned service champions. Proven experience setting goals and executing service support strategies. Demonstrated proficiency in LG product line technical knowledge. Proficiency in documentation creation and dispersion. Able to travel up to 75%. Excellent communication skills and interpersonal skills to interact effectively with diverse client group. Ability to troubleshoot in depth service issues via phone and onsite. Expertise in reading, analyzing and interpreting technical business periodicals, professional journals and technical procedures with the ability to edit and modify. Ability to write reports and business correspondence. Well-developed planning, organization, analytical, and decision-making skills. Proficient computer skills using all Microsoft Suite Programs. Recruiting Range $65,000 — $85,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States (Remote) Workplace: Remote SUMMARY   Infrastructure Foundations builds and operates the multi-cloud platform underneath Temporal Cloud, turning the complexity of AWS, Google Cloud (GCP), and Azure into one cohesive platform the rest of Temporal builds on. Every cell we run is provisioned, managed, and safely changed by systems this team owns. When a customer's workflow runs, it runs on our work. We are heading into the next stage: Kubernetes-based infrastructure platforms built for the next orders of magnitude of growth.   We are looking for a Staff Software Engineer to design and build the next version of that platform. You will own a significant multi-component system, from the APIs other teams build on to how infrastructure state is modeled, changed, and recovered, and coordinate the engineers building its parts. You will stay close enough to the code to prove decisions out, build the capability roadmap for this area with the engineering manager, and lead through design reviews and the hardest incidents.   What makes this team different - Real multi-cloud, not multi-cloud on a slide. We run across AWS, GCP, and Azure and keep extending the platform to new providers. The abstractions you design are the ones every new cloud plugs into. - We build Temporal Cloud with Temporal. Cell creation, component deployment, and cloud provisioning run as Temporal workflows. You will shape how Temporal runs its own infrastructure on Temporal. - A platform transformation, not maintenance. HA/DR for our control infrastructure, a declarative model for the whole platform, and a deployment control plane, all designed while a live platform keeps running. - Everything sits on top of it. Nearly every team at Temporal depends on what we build, so the standards you set for this platform shape how those teams ship.   Responsibilities   - Multi-cloud architecture: Design the abstraction model that makes AWS, GCP, and Azure read as one platform. Decide where provider differences in IAM, networking, quotas, and failure modes get absorbed, and how new regions and providers plug in. - Own a significant system: Design and build the multi-component platform end to end, and coordinate the engineers working on its parts. Make the system-level tradeoffs between conflicting requirements, and make them explicit. - Declarative infrastructure model: Define how components are described, versioned, and reconciled across Kubernetes workloads and supporting cloud resources. Set the approach for reproducible environments, drift visibility, and safe reconciliation. - Deployment control plane: Design the shared inventory, dependency awareness, rollout sequencing, and approvals that let many teams change production safely. Keep orchestration and safety policy cohesive while integrating with the frameworks that execute deployments. - Reliability by design: Spot architectural flaws before they cost us performance or reliability. Make bounded blast radius, progressive rollouts, observability, load and failure testing, and recovery part of every design. Stay cool in the hardest incidents, then bring what we learn back into the platform. - Roadmap and judgment: Build the capability roadmap for this area with the engineering manager. Scope big ideas down into well-understood pieces, evaluate the viability of requests from other teams, and weigh technical and business risk when the path isn't clear. - Raise the bar: Define the team's development process and operational best practices. Coach Senior engineers and invest in their growth, lead design reviews, and catch the critical PRs, as a keeper of standards who is seen as a value-add, not a blocker. Help hire the engineers who will build this with you. - Cross-team collaboration: Work with Traffic, Control Plane, Developer Productivity, Security, and service owners. Communicate complex designs clearly, influence toward the right course of action, and earn adoption through useful abstractions and dependable operations. Own compatibility and migration as the platform evolves.   Qualifications - 10+ years building software, including significant time designing and operating distributed infrastructure in production. - Production infrastructure experience on at least two of AWS, GCP, and Azure, including building, operationalizing, and scaling Kubernetes-based platforms across them. - Deep Kubernetes knowledge: scheduling, controllers and reconciliation, resource management, isolation, and upgrade safety. - A record of designing and building a significant multi-component system and coordinating other engineers to deliver it, ideally through a substantial infrastructure transition while production kept running. - Proficiency across a diverse set of technologies, with strong coding skills in Go or another systems language. You still write meaningful code. - Excellent written and verbal communication. You can explain complex systems, make tradeoffs explicit, and drive alignment with engineering and leadership. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience.   Required Skills - Multi-cloud platform thinking: reusable abstractions that account for provider differences and stay secure, observable, and maintainable. - Kubernetes architecture and operations judgment, especially recovery under failure. - System-level tradeoffs and good judgment in ambiguous situations, balancing foundational work, customer needs, and unplanned operational demands. - Raising the bar through design reviews, code reviews, coaching, and clear technical writing.   Preferred Experience   - All three providers. Building and operating infrastructure across AWS, GCP, and Azure, especially bringing a new provider onto an existing platform. - Building Kubernetes controllers and operators, including cloud resource controllers like Crossplane or AWS Controllers for Kubernetes (ACK). - Upstream open source contributions or maintainer experience in Kubernetes, CNCF, or similar infrastructure projects (conference talks are a bonus). - Deployment control planes, progressive delivery, dependency-aware rollouts, and safe migrations of production infrastructure. - Automating lifecycle management, such as patching and upgrades, for cloud native software across a large fleet. - Infrastructure services in Go and durable workflow orchestration using Temporal.   Tech you'll work with - Languages: Go (primary) - Infrastructure: Kubernetes (EKS, GKE, AKS), Karpenter, Helm, Terraform, and Temporal (we dogfood extensively) - Cloud providers: AWS, GCP, Azure 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: Ireland What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Channel Account Management Location: Remote Ireland Compensation Range: €54,600 base with an on target earnings of €91,000 base plus equity What You’ll Do: Channel Account Managers are part of a team at Huntress who play a critical role in driving revenue through engagement, expansion, and retention across our partner base. This role is critical in expanding our relationships with our partners while helping them deliver cybersecurity to their customers through the Huntress platform. As an individual contributor, your primary measures of success will be net dollar retention, gross dollar retention, partner loyalty, and satisfaction. This is a high-impact, high-visibility sales role that reports to the Manager of Channel Account Management. Its success will be measured by expansion and retention metrics. Responsibilities: Achieve and exceed quota based on both expansion metrics and renewal rates Work with partners to be a trusted advisor delivering solutions that increase customer satisfaction, grow partner adoption, and deliver exceptional quality service Maintain and reinforce Huntress’ culture Build and maintain strong relationships with multiple contacts within assigned partner organizations What You Bring To The Team: 2+ years of experience in Account Management, Customer or Partner success, Channel or Direct Sales roles, ideally focused on mid-market and below Strong knowledge of the MSP space, preferably related to the cybersecurity industry Experience with Salesforce or other similar CRM platforms Passionate about working in the partner community, being an advocate for them, and providing meaningful cybersecurity solutions Strong bias to action and ability to get things done efficiently and effectively What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set-up allowance (€480) Generous personal leave entitlements Digital monthly reimbursement (€111) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: United Kingdom What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to:  Manager, Channel Account Management Location: Remote UK Compensation Range: £49,200 base salary with an on target earnings of £82,000 base plus equity What You’ll Do: Channel Account Managers are part of a team at Huntress who play a critical role in driving revenue through engagement, expansion, and retention across our partner base. This role is critical in expanding our relationships with our partners while helping them deliver cybersecurity to their customers through the Huntress platform. As an individual contributor, your primary measures of success will be net dollar retention, gross dollar retention, partner loyalty, and satisfaction. This is a high-impact, high-visibility sales role that reports to the Manager of Channel Account Management. Its success will be measured by expansion and retention metrics. Responsibilities: Achieve and exceed quota based on both expansion metrics and renewal rates Work with partners to be a trusted advisor delivering solutions that increase customer satisfaction, grow partner adoption, and deliver exceptional quality service Maintain and reinforce Huntress’ culture Build and maintain strong relationships with multiple contacts within assigned partner organizations What You Bring To The Team: 2+ years of experience in Account Management, Customer or Partner success, Channel or Direct Sales roles, ideally focused on mid-market and below Strong knowledge of the MSP space, preferably related to the cybersecurity industry Experience with Salesforce or other similar CRM platforms Passionate about working in the partner community, being an advocate for them, and providing meaningful cybersecurity solutions Strong bias to action and ability to get things done efficiently and effectively What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set up reimbursement (£398) Generous personal leave entitlements Digital monthly reimbursement (£92) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote