Вакансии

– Сильный production-опыт с Kubernetes: upgrades, workload identity, network policies, autoscaling и расследование инцидентов.

Bleap is looking for a Software Engineer Security to own cloud, infrastructure, access, and onchain security.

Bleap is looking for a Software Engineer Java to build payment integrations and APIs for mobile and web applications.

Location: Armenia; Czech Republic; Spain; Hungary; Albania; Serbia; Poland; Portugal; Italy; Romania; Slovakia Workplace: Remote Location: Valencia, Spain, or Brindisi, Italy, or fully remote within Southern & Eastern Europe (teleworking up to 5 days per week) Start date: ASAP Languages: Professional proficiency in English required; Spanish is a plus Industry: Virtualization / IT Infrastructure / IT Services Duration: Long Term ABOUT THE OPPORTUNITY Pragmatike is hiring a Storage and Backup Engineer to provide engineering expertise and operational support to Storage and Backup infrastructure either within the organization or for partner entities. The role combines architecture, design, implementation, and day-to-day administration, with responsibility for onboarding new services, adapting solutions to evolving technologies and customer needs, and ensuring reliable, secure, and recoverable infrastructure The ideal candidate is an experienced Storage and Backup Engineer with at least 8 years of handson experience in supporting, designing, managing and optimizing enterprise storage and backup environments. The candidate will work under the guidance of the Team Lead, Infrastructure Operations, and collaborate with other support teams. The candidate is expected to demonstrate strong problem-solving skills, a proactive approach to service improvements and the ability to work independently while supporting a team-oriented environment. WHAT YOU’LL DO - Design and implement enterprise storage and backup architectures aligned with business, availability, recovery, capacity, and security requirements. - Administer and maintain storage arrays, SAN fabrics, and backup platforms, including daily health checks, storage provisioning, host integration, backup client configuration, schedules, retention policies, and replication. - Plan and execute installations, upgrades, migrations, capacity expansions, and proof-ofconcept deployments, including testing, validation, and rollback procedures. • Monitor and analyze system health, performance, capacity, and backup success; resolve bottlenecks and implement improvements. - Resolve incidents, problems, and service requests; provide Tier 3 support, lead root-cause analysis, and implement corrective and preventive actions. - Perform restores and recovery tests, and support disaster-recovery exercises to validate data protection and recovery capabilities. - Apply security controls, hardening standards, and approved configuration changes in accordance with established policies and change-management procedures. - Collaborate with vendors and internal teams on maintenance, upgrades, interoperability, and complex issue resolution. - Develop and maintain tools and scripts to automate storage and backup provisioning, monitoring, reporting, and routine operations. - Deliver storage and backup projects for the organization and its partner entities, including technical assessments, business cases, project proposals, and operational handover. - Maintain technical designs, configuration records, runbooks, and recovery procedures; share knowledge and promote best practices within the team. - Participate in standby/on-call duties, planned maintenance, and other service-coverage arrangements when required. WHAT WE’RE LOOKING FOR - Minimum 8+ years of relevant IT work experience in managing and configuring enterprise Storage and Backup environments and related services in a complex heterogenous environment - Extensive hands-on experience in the administration and troubleshooting of block and file storage systems across multiple vendor platforms (e.g., NetApp, Dell PowerStore, Dell ECS systems) - Excellent knowledge in the installation and administration of Enterprise Backup systems (e.g., DELL Avamar, PPDM, Data Domain, Veeam B&R and other market leaders in backup solutions) - Expert-level troubleshooting and problem resolution for storage and backup infrastructures. - Solid understanding and knowledge of storage technologies (Cisco/Brocade Fabric switches, VSANs, WWPNs, NPIV, multipathing, Fibre channel, iSCSI) - Strong understanding of data protection, disaster recovery, and best practices in backup and storage management. - Good understanding and knowledge of networking technologies - Working Experience in shell scripting and automation tools (e.g., Python, Ansible, Terraform) - Ability to work under pressure with minimum supervision - Customer-centric approach to delivery and problem solving - Good knowledge of ITIL service management methodology NICE TO HAVE - Experience with Hyper Converged Infrastructure or Software Defined Storage solutions is an advantage - Good presentation skills and ability to convey complex technical information to nontechnical audience - Experience with service reporting and business analytics - Experience with cloud storage solutions (e.g., AWS S3, Azure Blob Storage) - Experience with virtualization technologies (e.g., VMware, Hyper-V) - Industry-recognized certifications in Storage, Backup, or Cloud Technologies. - Certifications in any programming language or scripting framework (e.g., Python, Ansible, PowerShell). - ITIL, ISO20000, PRINCE2 certifications WORKING CONDITIONS - Teleworking: up to 5 days per week - On-call: one week per month (rotation depends on the number of team members) - Overtime must be pre-approved by the client Team Leader - Overtime rates: 125% of the daily rate Monday to Saturday, and 150% on Sundays and client public holidays - Stand-by availability for on-call services is included in the daily rate - Interventions during an on-call period are billed at the overtime rates above - Overtime and on-call interventions may alternatively be compensated with time off, if mutually agreed by both parties Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 — $190,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Workplace: remote Requirements 5+ years of hands-on data engineering experience, including delivery and support of production data solutions Practical experience with both Snowflake and Databricks Strong SQL and Python skills, including hands-on experience with PySpark Experience using dbt to develop, test, and maintain data transformations Experience designing and deploying cloud data solutions, preferably on Azure Strong data modelling skills, including dimensional modelling and an understanding of Data Vault 2.0 concepts Experience with Git, code reviews, automated testing, and CI/CD Ability to investigate data quality issues and troubleshoot pipeline failures and performance problems Experience working directly with clients or multiple stakeholder groups Ability to work effectively in agile and startup environments, adapting to changing priorities and evolving requirements Strong critical thinking and problem-solving skills, with the ability to challenge assumptions, evaluate alternatives, and make evidence-based decisions Ability to work independently, clarify ambiguous requirements, and take ownership of delivery Nice to have Experience with change data capture, streaming, or event-driven processing Experience with infrastructure as code, such as Terraform Experience with AWS in addition to Azure Snowflake or Databricks certifications Experience mentoring engineers or leading technical delivery Familiarity with BI tools such as Power BI, Tableau, or Looker Responsibilities Work with client stakeholders to understand business needs, assess existing systems, and define technical requirements Contribute to solution design, explaining technical options, trade-offs, and implementation effort Design, build, and maintain production ETL/ELT pipelines integrating databases, APIs, and file-based sources Develop data models and transformation workflows that support analytics and business processes Implement incremental loading, data validation, error handling, monitoring, and recovery mechanisms Improve pipeline performance and manage compute and storage costs Apply data security and governance practices, including access control and protection of sensitive data Use version control, code reviews, automated testing, and CI/CD to deliver maintainable solutions Create technical documentation and support knowledge transfer to client teams Support project estimation and planning, raise delivery risks, and mentor other engineers We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

помогать с развёртыванием и поддержкой dev/test/prod окружений. контейнеризировать и деплоить приложения.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Advanced Customer Engineer-Level 1 provides the second level of expertise and service to ensure all the Reltio customers get the best possible experience. This position requires an understanding of the Reltio application stack from the front end to the database layers and analysis of break-fix cases and the ability to efficiently investigate and resolve complex issues. Job Duties and Responsibilities: Develop and implement algorithms/techniques for solving problems in a high-volume and high-availability environment. Take complete ownership of knowledge of Reltio Platform features, components, and integrations. Build and implement scalable and accurate monitoring and metric tools and frameworks. Analyze customer needs and software requirements to determine configuration accuracy in solving issues and incidents. Provide quality technical support assistance, resulting in high customer satisfaction. Monitor performance, stability, and consistency of the Platform to facilitate the delivery of well-rounded decision-making in connection with product development and delivery. Resolve customer technical issues through collaboration, reproduction, UI/API/performance debugging, and troubleshooting. Remain abreast of technological advancements to identify cutting-edge and new pragmatic approaches to building sustainable solutions, including applying pragmatic approaches to deliver solutions and fixes to critical customer-facing obstacles. Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues. Learn and keep up-to-date on the latest product functionality, dependencies, underlying architecture, and their operational impact. Gain an understanding of MDM, NoSQL, Data structures, Service architecture, and System design through documentation. Collaborate with support, product management, and core engineering team members to obtain information on project limitations, capabilities, performance requirements, and interfaces. Represent Reltio in Customer meetings as an Engineering expert to provide clear and deep knowledge of customer issues and impacts. Share and develop best practices with team members to enhance the quality and efficiency of customer support and contribute to the knowledge base. Identify opportunities for continuous improvements to Reltio cloud-based platforms (AWS, CGP, and Azure). Participate in a 24x7 on-call rotation and provide after-hours support for critical customer and platform issues. Respond to high-priority incidents within established service level objectives. Support weekend shifts or /on a rotational and/or business-required basis. Other duties and responsibilities as assigned. Skills You Must Have: Bachelor of Science degree  in computer science or equivalent with 5+  years of experience. 2+ years developing on large-scale enterprise systems. Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis. Understanding of API design principles, authentication mechanisms, and integration. Knowledge of web UI development with JavaScript frameworks. Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology. Experience with NoSQL databases and distributed indexes. Understanding of performance and profiling techniques of complex systems. Hands-on  analytical and troubleshooting skills. 2 years of experience developing Master Data Management (MDM) software with several full life cycle implementations in Reltio Cloud. 2 years of experience with enterprise-focused applications including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, Reltio Cloud. 2 years of experience configuring & validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud. 1 year of experience in using version-controlling software including Bitbucket, VSS, SVN for storing and promoting the code. Skills That Are Nice to Have: Bachelor of Science degree  in computer science or equivalent experience. Object oriented programming and designs, Data Structures and Algorithms. Experience in data management, master data management, analytics, and big data platforms and technologies. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Experiences team builds the product surfaces that make the Affirm Card feel simple and trustworthy. We own the cardholder journey from the moment a card is ordered to every time it's used. Our work spans the full stack: customer-facing web and mobile experiences and the backend services behind them. You'll work closely with product, design, risk, and operations partners to turn customer pain points into shipped improvements, and use data to measure their impact. You'll own features end to end, from shaping the problem to launching and monitoring in production, and you'll help raise the bar on reliability and on-call health. AI is central to how we work. We use it to build faster, to improve the quality of what we ship, and to create smarter, more helpful customer experiences. We lead from the front on adopting it, while holding a high bar on security and craft. A card is a high-trust product, so speed never comes at the expense of quality. If you want to help change how people plan their purchases, with a customer-first mindset and an eye for both speed and craft, we'd love to meet you. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For This is a full stack role. You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have a total of 8+ years of experience as a software engineer. You are proficient in developing web apps using declarative UI frameworks like React Native or React or Vue. You are proficient in designing, developing and launching systems at scale. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. You think AI first and an adopter of latest technologies. You identify trends and safely apply them to the work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Experiences team builds the product surfaces that make the Affirm Card feel simple and trustworthy. We own the cardholder journey from the moment a card is ordered to every time it's used. Our work spans the full stack: customer-facing web and mobile experiences and the backend services behind them. You'll work closely with product, design, risk, and operations partners to turn customer pain points into shipped improvements, and use data to measure their impact. You'll own features end to end, from shaping the problem to launching and monitoring in production, and you'll help raise the bar on reliability and on-call health. AI is central to how we work. We use it to build faster, to improve the quality of what we ship, and to create smarter, more helpful customer experiences. We lead from the front on adopting it, while holding a high bar on security and craft. A card is a high-trust product, so speed never comes at the expense of quality. If you want to help change how people plan their purchases, with a customer-first mindset and an eye for both speed and craft, we'd love to meet you. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For This is a full stack role. You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. You have a total of 8+ years of experience as a software engineer. You are proficient in developing web apps using declarative UI frameworks like React Native or React or Vue. You are proficient in designing, developing and launching systems at scale. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. You think AI first and an adopter of latest technologies. You identify trends and safely apply them to the work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Agtonomy is looking for a Robot Operations Engineer to investigate field issues, monitor robotic fleets, automate operations, manage configurations, and support autonomous tractor site launches.

Anthropic is looking for a Manager Enterprise Sales Asset and Wealth Management to lead enterprise sales and scale AI adoption across asset and wealth management institutions.

Location: Romania; Croatia; Serbia; Bulgaria; South Africa Own AI and systems for a scaling CPA firm. Automate workflows, integrate APIs, build real AI capacity gains. $3,500-4,000 USD/month | Full-time | Overlap to 2pm ET Craig Cody & Company is a US-based CPA firm headquartered in New York, working with a large base of agency clients. We support over 70 agency clients, many of them connected to AMI (Agency Management Institute), on their accounting and tax work. The firm is almost entirely remote with around 30 people: CPAs across the US in the Carolinas, Texas, California and Washington State, a small admin and bookkeeping team in the Philippines, and team members in the UK. Hiring remotely and internationally is something we are already very comfortable with. Compared to most small CPA firms, we lean heavily into technology. The attitude here is simple: let's spend the money, let's get the tech, let's use it. We are not a hierarchy, we are pretty flat, and we are nice people, so no one is snapping at anybody. Core IT is handled by an MSP provider we have worked with for around 15 years. We're looking for an AI & Systems Specialist to help the firm take advantage of AI and better integrate the systems we already use, so we can increase capacity and efficiency across the business. You will become the internal go-to owner of the firm's systems, working alongside our long-standing MSP provider to implement and evolve an AI strategy, likely built around a locally hosted AI model. Here is what you will be doing: 🔗 Tie together our core systems (Karbon practice management, QuickBooks Online, HubSpot and CCH Axcess tax software) using APIs where available. 🤖 Implement AI into existing processes, for example drafting account-manager email replies by pulling from recorded client calls, email threads, notes and Karbon data. ⚙️ Automate recurring workflows, such as pulling data out of QuickBooks Online for tasks done for every client. 📄 Support AI-assisted first-pass review of tax returns, for example working with XML output from CCH Axcess rather than 100-plus page PDFs. 🖥️ Stand up and manage AI infrastructure flexibly, including local AI (a Mac Studio is on order) and cloud environments such as AWS, depending on data sensitivity. 🛠️ Interact with our existing MSP provider (2 to 3 people) on IT matters. 💬 Sit down with team members, such as our HR and Admin lead, to understand their processes and identify where AI and automation can help. This is a full-time role. You will need to overlap with US hours, working until around 2pm US Eastern. Requirements To be successful in this role, you need: ✅ Strong experience integrating SaaS systems via APIs and building automations. ✅ Hands-on AI implementation experience, using the right model or tool for the job (local versus cloud, sensitive versus non-sensitive data). You don't need to be a hardcore developer: building with AI and low-code tools is fine, as long as you understand the technology well enough to judge the right approach. ✅ Solid working knowledge of local AI setups and cloud environments, with proficiency in AWS. ✅ Excellent spoken and written English, and the ability to explain things in plain terms and train non-technical team members. You will translate business problems into technical solutions. ✅ To be willing and able to overlap with US hours, up to around 2pm US Eastern. ✅ Your own laptop and a reliable high-speed internet connection. Brownie points for: ⭐ Experience or interest in the accounting and finance world (interest matters more to us than direct experience). ⭐ Familiarity with any of our core tools: Karbon, QuickBooks Online, HubSpot, CCH Axcess. You will fit in well here if you are a self-starter who doesn’t need hand-holding. You bring us ideas, we approve them, and you run with them. When we suggest doing something one way and there’s a better way, you tell us why. Some of what we want may not be technically possible yet, and we’d rather hear that early. You build trust with non-technical colleagues rather than being seen as just the techy person. We are looking for someone who is long-term minded and excited to grow with a fast-moving firm at the forefront of AI in accounting. Benefits What’s in it for you? 💰 $3,500 to $4,000 USD per month.* 📄 Full-time independent contractor position. 🌍 Fully remote, with flexibility on location as long as you overlap with US Eastern hours until around 2pm ET. 🏖️ 2 weeks of paid vacation. 🤒 5 sick days. 🎄 Christmas week and July 4th week off with pay. 📅 5 local holidays. *Please note that this is a gross salary and that you are responsible for any tax-related procedures in your country of residence. We kindly ask you to apply only if you are happy to work remotely as an independent contractor. This is our typical hiring process - occasionally, it may include extra steps. For this role, JobRack is partnering with the company to find their next hire. We’ll handle all the screening and testing, so they see only the best-fit candidates - like you! 🔍 How to shine • Read the role details carefully. • Submit a thoughtful, high-quality application. • Stay responsive - we’ll keep you updated at every stage. ✨ Important notes • Apply only through JobRack; please don’t contact the company directly. • We expect a respectful hiring experience - any disrespect means instant disqualification. • This is a full-time, primary role (no freelancing or second jobs). ❓ New to remote work? Check out our handy FAQ: jobrack.eu/jobseeker-faq

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Location: London, UK We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role. This is a hybrid position requiring onsite presence at the client’s London office three days per week. Duration: 12+ months Design, develop, and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features using SQL and cloud data platforms. Contribute to CI/CD, automated testing, and code reviews. Apply AI-assisted development practices where they improve speed and quality. 5+ years of hands-on experience in production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL skills and experience with cloud platforms (AWS preferred). Experience with API design and integration, automated testing, CI/CD, and Git. Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders. Ability and willingness to work on-site at the client’s London office three days per week. Experience with fixed-income ETFs, portfolio management, or investment analytics. Experience with Aladdin, BNY, or comparable investment platforms. Experience with Snowflake, Redshift, Databricks, or BigQuery. Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.