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Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems. You will own systems end-to-end—from schema design and API architecture to deployment, observability, and operational excellence. The work is highly dynamic, and you will operate in a fast-paced environment where we continuously evolve the platform to support enormous growth in traffic, data, and global usage. You’ll collaborate across engineering, SRE, Product, and Design while acting as a technical leader who simplifies complexity, elevates engineering quality, and improves a globally critical developer platform. If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you. _______________________________________________________________________ RESPONSIBILITIES DISTRIBUTED SYSTEMS & BACKEND ENGINEERING - Architect, build, and operate high-scale distributed systems powering Docker Hub’s registry platform—spanning artifact storage, metadata services, indexing workflows, and performance-critical APIs. - Lead the design and implementation of backend services with a strong emphasis on scalability, correctness, resilience, and performance. - Drive major initiatives around multi-region replication, caching strategies, request-path optimization, and core registry reliability. DATA INFRASTRUCTURE & STORAGE - Design, optimize, operate the data and storage layers - for both Relational and NoSql as well as object storage and related technologies. - Develop schemas and data models to support high-throughput, large-volume workloads. - Own systems end-to-end—from storage-layer behavior to API design, deployment workflows, and production monitoring. OPERATIONS, OBSERVABILITY & SCALE - Improve the performance and reliability of one of the world’s largest repositories of container images. - Develop and enhance observability through metrics, traces, alerting, and dashboards. - Lead improvements to deployment and operational tooling (e.g., Argo CD, GitHub Actions). - Participate in on-call rotations as part of supporting critical production services. LEADERSHIP & COLLABORATION - Mentor engineers and lead design and architecture reviews. - Partner with Product, Design, SRE, and Platform teams to deliver high-impact projects. - Engage with open-source communities, cloud-native partners, and the broader ecosystem. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures. - Strong production experience with Golang, including designing and operating large Go-based services in cloud environments. - Strong production experience with Kubernetes, including operating services at scale. - Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production. - Experience building and operating cloud-based services (AWS preferred). - Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent. - Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability. - Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience NICE TO HAVE - Experience with OCI registries, artifact stores, or large-scale content distribution systems. - Familiarity with search/indexing systems or metadata-rich architectures. - Contributions to cloud-native or open-source ecosystems. WHAT WE’RE LOOKING FOR - An engineer with deep experience in distributed systems and large-scale storage - Someone who thrives in a fast-paced environment and consistently optimizes for reliability, automation, and performance. - A technical leader who takes ownership of complex systems and drives long-term architectural direction. - An engineer energised by the challenges of operating a global developer platform at massive scale. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Mapbox Germany Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. Experience with Reinforcement Learning. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 hr per week - Location/Hybrid Policy: Remote (from any city in Germany) WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Collaborate across teams to drive reliability, security, and compliance throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality. WHAT YOU HAVE  - 5+ years of experience in Site Reliability Engineering or similar roles supporting production environments - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.). - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence COMPENSATION RANGE $200,000 - $260,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.  This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. WHAT YOU’LL DO - Design, implement, and manage monitoring, alerting, and infrastructure resources (compute, storage, networking) across 50+ global regions - Lead incident management processes, including postmortems, root cause analyses, and driving actionable improvements - Automate operational tasks and workflows, building tools and processes for capacity planning, graceful rollouts, and safe data access to maintain high reliability and reduce manual intervention - Establish best practices for security, compliance, and reliability and collaborate across teams to drive these principles throughout the software lifecycle - Optimize infrastructure costs through strategic capacity planning and build-versus-buy decisions while maintaining system performance, reliability, and functionality - Provide technical mentorship and leadership, promoting best practices and fostering team growth WHAT YOU HAVE  - 10+ years of experience in Site Reliability Engineering or similar roles supporting production environments, with proven ability to mentor and guide technical teams - Expertise in infrastructure as code(IaC) tools (Pulumi, Terraform, CloudFormation, etc.) - Deep familiarity with observability tools (Datadog, Sentry, etc.) and incident response practices (PagerDuty, IncidentIO, etc.) - Proficiency with cloud infrastructure platforms (Azure, GCP, AWS, etc.) - Strong programming skills (Python, Bash, Go, or similar languages) - Proven track record of diagnosing complex system problems and implementing durable solutions - Solid understanding of CI/CD, Kubernetes, containerization, networking, databases, and cloud security principles - Excellent problem-solving skills, meticulous attention to detail, and a commitment to operational excellence COMPENSATION RANGE $238,000 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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

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

Location: Baku; Almaty; Georgia; Istanbul; Serbia Workplace: onsite About the job   About Us   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com .     About You   We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide. The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence. If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you. Responsibilities Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success. Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team. Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making. Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices. Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap. Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management. Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation. Qualifications & Skills 10+ years of experience in software development, including 5+ years in engineering leadership roles. Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments. Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices. Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics. Experience managing distributed teams and scaling organizations across multiple geographies. Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike. Sharp decision-making and problem-solving ability in high-stakes environments. Fluent in English (written and verbal). Willingness and ability to relocate to Baku, Azerbaijan. Nice to Have Experience in the gaming, fintech, or platform-as-a-service industries. Familiarity with payments infrastructure, user-facing APIs, or developer tools. Master's degree in Computer Science, Engineering, or related field. Certifications in cloud technologies, Agile practices, or technical leadership. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.   Explore more opportunities at: https://xsolla.com/careers   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Home based - Worldwide This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into new industries like telco, finance, health care and media we design and develop new open source solutions to meet their needs. We believe that Engineering Managers should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result. The role of a Cloud Field Engineering Manager at Canonical The Field Engineering team is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc.  The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process. A Cloud Field Engineering Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals. Location: This role will be home based, managing a team in your time zone. What your day will look like Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services Solve customer problems by promoting our technologies and being a trusted advisor Work remotely in a single major time zone Coach, mentor, and offer career development feedback Identify and measure team health indicators Implement disciplined engineering processes Represent your team and product to stakeholders, partners, and customers Develop and evangelise great engineering and organisational practices Plan and manage progress on agreed goals and projects Be an active part of the leadership team, collaborating with other leaders What we are looking for in you Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. Practical knowledge of Linux and networking Experience in technical presales You are a dynamic person who loves to jump in new projects and interact with people Excellent verbal and written communication skills in English Passion and a track record of developing and growing people Experience in leading, coaching and mentoring engineers Organised and able to ensure your team delivers timely, high quality results An exceptional academic track record from high school and, preferably, university as well Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings. Additional skills that you might also bring Second language - Spanish or French preferred Python knowledge Experience collaborating with external partners Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan; Ahmedabad, India; Delhi, India; Bangalore, India; Pondicherry, India; Mirpur, Bangladesh; Bangkok, Thailand; uttara, Bangladesh; Manila, Philippines; Quezon City, Philippines; Taguig, Philippines Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Engineer (Adobe AEP) to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities ●       Build and maintain ingestion pipelines into AEP (batch, streaming, APIs). ●       Map and transform source data (CRM, billing, OCS, channels) into XDM schemas. ●       Ensure data quality, deduplication, and reconciliation across datasets. ●       Optimize data pipelines for performance, scale, and cost efficiency. ●       Support debugging of ingestion issues and coordinate fixes with Adobe/vendor teams. ●       Document data pipelines, mappings, and transformation logic for sustainability. Skills & Qualifications ●       Strong SQL, Python/Scala, and ETL/ELT development skills. ●       Hands-on experience with APIs, JSON, Kafka, and cloud data platforms (AWS, Azure, GCP). ●       Familiarity with Adobe AEP XDM schemas and Identity Service. ●       Strong problem-solving and debugging ability. ●       Experience in data quality frameworks and reconciliation processes.

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan; Ahmedabad, India; Delhi, India; Bangalore, India; Pondicherry, India; Mirpur, Bangladesh; Bangkok, Thailand; uttara, Bangladesh; Manila, Philippines; Quezon City, Philippines; Taguig, Philippines Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Architect (Adobe AEP) to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities ●       Define overall AEP data architecture, schemas (XDM), and identity strategy. ●       Design and oversee ingestion pipelines (batch, streaming, APIs). ●       Ensure data quality, scalability, and governance across datasets. ●       Define retention, privacy, and consent management frameworks. ●       Document architecture and provide standards for long-term use. ●       Act as SME during workshops and solution design sessions. Skills & Qualifications ●       Proven expertise in Adobe AEP data architecture. ●       Strong experience in data modeling, governance, and lineage. ●       Proficiency with cloud data platforms (AWS, Azure, GCP). ●       Knowledge of XDM schemas, APIs, and identity services.

Location: United States Workplace: Remote ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—adding new capabilities that connect and extend Postgres and ClickHouse for modern data workloads. We’re hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and operations as these services scale globally. You’ll be at the center of how we run and evolve our next-generation data platform—building the automation, observability, and operational rigor that ensure a fast, secure, and dependable customer experience. This is a hands-on, high-impact role where you’ll write code, shape architecture, and enable the broader engineering team to deliver with confidence and velocity. WHAT YOU’LL DO - Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling. - Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure. - Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments. - Contribute Go-based tooling and services that improve automation, observability, and developer experience. - Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments. - Drive incident management and postmortem practices that strengthen reliability and learning loops. - Collaborate cross-functionally with platform, networking, and product teams to improve service operability. - Mentor and enable engineers, helping the team scale effectively as customer adoption grows. ABOUT YOU - Experience: 7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems. - Database Operations: Solid understanding of Postgres operations, scaling, and performance tuning. - Cloud Expertise: Deep hands-on experience across AWS, with exposure to GCP and Azure; comfortable navigating multi-cloud topologies. - Automation Skills: Proficient with Terraform, Kubernetes, and container-based infrastructure. - Programming: Strong Go development skills (or willingness to write and own production Go code). - Observability: Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents. - Reliability Focus: Deep understanding of SLOs, incident response, and continuous improvement in service reliability. - Mindset: You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems. WHY JOIN US - Build and operate the foundation for ClickHouse’s Postgres integration / extension, spanning multiple CSPs. - Work on a small, elite team where ownership, reliability, and speed are core values. - Shape the operational practices and automation that will define how ClickHouse runs databases in the cloud. - Write production code, influence architecture, and mentor others — all while scaling a high-impact platform from the ground up. - Be part of a company redefining performance, simplicity, and developer experience in data infrastructure.     #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—adding new capabilities that connect and extend Postgres and ClickHouse for modern data workloads. We’re hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and operations as these services scale globally. You’ll be at the center of how we run and evolve our next-generation data platform—building the automation, observability, and operational rigor that ensure a fast, secure, and dependable customer experience. This is a hands-on, high-impact role where you’ll write code, shape architecture, and enable the broader engineering team to deliver with confidence and velocity. WHAT YOU’LL DO - Lead reliability and operations for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling. - Design and implement automation for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure. - Develop infrastructure-as-code using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments. - Contribute Go-based tooling and services that improve automation, observability, and developer experience. - Own observability and monitoring, ensuring robust alerting, metrics, and tracing across environments. - Drive incident management and postmortem practices that strengthen reliability and learning loops. - Collaborate cross-functionally with platform, networking, and product teams to improve service operability. - Mentor and enable engineers, helping the team scale effectively as customer adoption grows. ABOUT YOU - Experience: 7+ years in SRE, DevOps, or infrastructure engineering, with a track record of running distributed, production-grade systems. - Database Operations: Solid understanding of Postgres operations, scaling, and performance tuning. - Cloud Expertise: Deep hands-on experience across AWS, with exposure to GCP and Azure; comfortable navigating multi-cloud topologies. - Automation Skills: Proficient with Terraform, Kubernetes, and container-based infrastructure. - Programming: Strong Go development skills (or willingness to write and own production Go code). - Observability: Familiar with tools like Prometheus, Grafana, Loki, OpenTelemetry, or equivalents. - Reliability Focus: Deep understanding of SLOs, incident response, and continuous improvement in service reliability. - Mindset: You operate with a founder’s mentality — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems. WHY JOIN US - Build and operate the foundation for ClickHouse’s Postgres integration / extension, spanning multiple CSPs. - Work on a small, elite team where ownership, reliability, and speed are core values. - Shape the operational practices and automation that will define how ClickHouse runs databases in the cloud. - Write production code, influence architecture, and mentor others — all while scaling a high-impact platform from the ground up. - Be part of a company redefining performance, simplicity, and developer experience in data infrastructure.     #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Insurance) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading insurance carriers and reinsurers. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across property & casualty, life & health, and reinsurance organizations. You'll leverage deep insurance sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into underwriting, claims, actuarial, and policy administration workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for insurance decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across insurance carriers and reinsurers, and running the strategies to win them. By driving deployment of Anthropic's emerging products into insurance enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across property & casualty, life & health, and reinsurance organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Chief Actuaries, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate insurance-specific needs — underwriting, claims, actuarial, policy administration — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in insurance, with demonstrated success covering carrier or reinsurance organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within insurance Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large insurance carriers or reinsurers Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of insurance organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of insurance procurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As a Forward Deployed Product Engineer, you'll embed directly with the largest brands in home services — learning how their businesses actually run, then designing and shipping the AI systems that run their front lines. This isn't a solutions role where you hand off specs and stop coding: you own the build end-to-end, from the first customer conversation to a live deployment handling real call volume. And because you have the deepest view of what customers actually encounter, what you learn in the field feeds directly into our core product roadmap. Recent recognition: - How a chance encounter in Texas sparked a $1 billion Kleiner Perkins-backed AI startup | Fortune (2026) https://fortune.com/2026/04/27/avoca-ai-agents-missed-calls-hvac-plumbing-roofing-kleiner-perkins-chen-shrivastava-braswell/ - Should you join: Avoca | Next Play (2026) https://nextplayso.substack.com/p/should-you-join-avoca - Brody Pennell Partners with Avoca to Take On the Full Customer Experience | Yahoo Finance (2026) https://finance.yahoo.com/small-business/articles/brody-pennell-partners-avoca-full-133000847.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAHeUirkv4HWbM90y3rZrET7lZnVIDsrXfVrtcXP2PwMzvm8L3xhB0_N_G4YT5_vNHIn-7gI9gBBQ5WadJmI9jsbSzwiQ0WR4YuztRxHi9vUWZZe8PRbjwLUSaEtaxVT_mZ7TVuTJrGqzpohDYQ1hNhmTWGQJyRW5pR0BV5zMYuYp   WHAT YOU’LL DO - Embed with customers to deeply understand how their business runs, then design and deploy AI voice agents that work from day one. - Build production integrations into customer CRM/FSM systems (APIs, webhooks, and data flows) plus the monitoring and feedback loops that keep them healthy. - Translate messy, real-world business requirements into clean technical architecture and shipped code. - Spot patterns across deployments and turn them into reusable tooling and product improvements that scale beyond a single customer. - Operate with high autonomy in high-stakes, ambiguous environments. - Serve as the on-site technical presence for strategic accounts. WHAT YOU’LL BRING - 3+ years of software engineering experience with strong full-stack or backend fundamentals. We are open to hiring mid-level, senior-level and staff-level candidates for this role. - Computer Science, Computer Engineering, Electrical Engineering degree or equivalent experience. - Proficient | Advanced in TypeScript/JavaScript (Next.js, React, Node/Fastify); comfortable with PostgreSQL and AWS; ships production-grade code. - Excel at communicating complex technical concepts to non-technical stakeholders. - Thrives in fast-paced, ambiguous settings — has delivered systems in dynamic environments with shifting priorities. - Eagerness to work in person with us in NYC full time, with travel to customer sites for key deployments. - Bonus: LLMs, prompt engineering, AI agent frameworks, vector databases, or voice/telephony infrastructure — and an eye for how LLM systems shape user experience. - Bonus: direct customer-facing experience — working with clients to scope, implement, or roll out features. YOUR FIRST 6 MONTHS - Month 1: Onboard into our TypeScript/voice-AI stack, shadow a live deployment, and ship your first production changes to a customer integration. - Month 3: Own the technical build on a strategic account end-to-end — scoping the integration, standing up the agent, and validating it against customer-agreed success criteria. - Month 6: Be the technical owner at go-live for a flagship account, on-site when it counts, with reusable tools or product improvements you've built now running across other deployments.   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits - Standing desks and workspace accommodations available on request - All core tools and software provided WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker’s AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. Our flagship product, the MCP Gateway, empowers developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production. We’re defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments. We’re looking for a Principal Backend Engineer who thrives at the intersection of AI, security, and developer experience. You’ll lead the technical direction of the Gateway and related services, collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use. This is a high-velocity, high-ownership environment: you’ll ship fast, iterate constantly, and help shape the future of secure agent-based development. _______________________________________________________________________ RESPONSIBILITIES - Define the technical solution for a new product - Help shape the product with peers in Product and Design - Mentor other technical team members - Be the technical point of contact for the team - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Technical leadership across multiple teams or domains, with a proven ability to drive architectural vision, set technical direction, and influence long-term product strategy. - Exceptional product and platform mindset—you think beyond implementation details to how technology shapes developer and business outcomes. - Expertise in designing and evolving large-scale, cloud-native systems, with deep knowledge of distributed computing, service-oriented architecture, and performance optimization. - Demonstrated experience building secure, resilient, and high-throughput backend services, with a strong grasp of reliability engineering principles (SLOs, observability, incident response). - Fluency in Go (preferred) or another modern systems language (Rust, Java, C++, etc.), with the ability to lead technical design reviews and mentor others in language-specific best practices. - Strong grasp of software engineering fundamentals—CI/CD, testing strategy, source control, and deployment automation—applied in complex, multi-service environments. - Proven track record of technical mentorship and cross-functional collaboration, enabling teams to deliver high-impact, high-quality software efficiently. - Deep experience with major cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tooling. - Ownership mentality with a bias for action and iterative delivery, balancing short-term impact with long-term architectural health. - Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. - Comfortable operating autonomously in distributed, remote-first teams, and leading through influence rather than authority. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. BONUS - Experience with Kubernetes, Docker, and microservices architecture - Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Meet team members - Build context about the problem space and prior art - Provide feedback on current exploration and propose next steps in line with Product and Design FIRST 90 DAYS - Work with Product and Design on defining the product - Attend customer calls - Meet people across the company - Help grow the team by participating in hiring loops ONE YEAR OUTLOOK - Bring the product to market Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $198K – $319K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Delhi, India; Ahmedabad, India; Pondicherry, India; Bangalore, India; Mirpur, Bangladesh; Cebu City, Philippines; Davao City, Philippines; Iloilo City, Philippines; Manila, Philippines; Makati, Philippines; Quezon City, Philippines; Taguig, Philippines Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Oracle ERP/Fusion Technical to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Job Overview: Responsible for the design, development, and maintenance of web applications using the .NET Core and Angular frameworks. Work across the entire application lifecycle, from front-end user interfaces to back-end services, ensuring the delivery of high-performance and scalable solutions. The ideal candidate will be a proactive, collaborative team player who thrives in a fast-paced environment and is passionate about delivering quality software solutions. Key Responsibilities: • Design and develop web applications using Angular for front-end development and .NET Core for back-end services. • Write efficient, maintainable, and scalable code across the full stack, ensuring a seamless user experience. • Develop RESTful APIs and ensure secure, high-performance communication between the front-end and back-end. • Build responsive, dynamic, and user-friendly web interfaces using Angular, React, HTML5, CSS3, JavaScript, and TypeScript. • Implement and manage reusable components, modular UI development, and ensure cross browser compatibility. • Collaborate with UI/UX designers to ensure high-quality user experience. • Develop robust and scalable back-end services using .NET Core and C#. • Create and maintain SQL databases, ensuring optimized queries and data management. • Integrate third-party services and APIs into the application architecture. • Write unit tests, perform integration testing, and debug both front-end and back-end code to ensure the integrity of the system. • Work closely with QA engineers to ensure smooth deployment and high application quality. • Participate in code reviews and contribute to continuous improvement of development practices. • Collaborate with cross-functional teams (e.g., product owners, designers, QA) in an Agile environment. • Participate in sprint planning, daily stand-ups, retrospectives, and backlog refinement meetings. • Break down complex problems into tasks, estimate timelines, and ensure timely delivery of features. • Use Git for version control, branching, and merging to ensure code quality and seamless collaboration. • Work with DevOps engineers to deploy applications using CI/CD pipelines to environments (e.g., Azure DevOps, Jenkins). • Identify performance bottlenecks and optimize applications for speed and scalability. • Monitor application performance and implement improvements where necessary, including database optimization and code refactoring. • Ensure security best practices in both front-end and back-end development, implementing measures to protect against vulnerabilities (e.g., OWASP, cross-site scripting, SQL injection). • Follow industry best practices for software development, including documentation, design patterns, and code refactoring. Key Skills and Qualifications: • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field. • Experience: o 4+ years of experience as a Full Stack Developer, working with .NET Core and Angular. o Proven experience in C#, ASP.NET Core, Entity Framework Core, and SQL. o Strong front-end development experience using Angular, JavaScript/TypeScript, HTML5, and CSS3. • Technical Skills: o Proficient in building RESTful services and APIs using .NET Core. o Experience with Angular 14+, RxJS, NgRx (or similar state management tools). o Solid understanding of database design, querying (SQL Server, MySQL), and ORM tools like Entity Framework Core. o Familiarity with front-end build tools such as Webpack, Angular CLI, and npm. o Experience with version control tools like Git and CI/CD practices. o Knowledge of cloud platforms (e.g., Azure, AWS), containerization (e.g., Docker), and microservices architecture is a plus. • Soft Skills: o Strong problem-solving abilities with attention to detail. o Excellent communication skills to collaborate with cross-functional teams and translate technical information to non-technical stakeholders. o Ability to work independently as well as part of a team in a fast-paced, agile environment.