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Ripple is looking for a Senior Software Engineer NET C# to build payment features and modernize payment services.

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: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a QA Engineer to join a team supporting an AI platform/product team. This role requires a more technical profile than a traditional QA position, with a strong focus on backend systems, API testing, and close collaboration with engineering teams. The ideal candidate has solid quality assurance experience, strong technical capabilities, and preferably a background in software development or SDET practices. This individual will help ensure the quality, reliability, and performance of AI platform services within a rapidly evolving AI environment. Beyond technical expertise, this person is an effective communicator who works well with developers and cross-functional teams, asks for support when needed, adapts quickly to change, and takes initiative to solve problems and improve processes. They thrive in collaborative environments and are motivated to contribute to the success of innovative AI-powered products. Design, develop, and maintain automated test suites using TypeScript and Playwright Create and execute functional, regression, smoke, and end-to-end tests Collaborate with developers and product teams to define test scenarios and acceptance criteria Identify, document, and track defects with clear reproduction steps Maintain and improve test frameworks, test data, and automation best practices Contribute to CI/CD integration for automated test execution Support release validation and quality assurance activities Review application changes and assess test impact Work closely with the team to improve test coverage, reliability, and execution efficiency Strong hands-on experience in QA Automation with TypeScript and Playwright. Experience designing and maintaining automated end-to-end and regression test suites. Solid understanding of software testing principles, QA processes, and defect management. Experience working with web applications, APIs, and modern frontend technologies. Ability to collaborate with developers, product owners, and other team members in an Agile environment. Experience with test framework maintenance, test data management, and CI/CD integration. Strong analytical and problem-solving skills with attention to detail. Good communication skills and ability to document test results and issues clearly. Experience with API testing tools or frameworks Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Familiarity with performance or accessibility testing Experience in data, analytics, or BI-related products Experience with test reporting tools and quality dashboards

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.

Location: Australia; Hong Kong The Global Security Operations Engineer is a senior technical role responsible for strengthening the firm's ability to detect, investigate, respond to, and recover from cybersecurity threats across its global environment. Working as part of the Global Security operations team, the successful candidate will lead complex security investigations, develop and optimize threat detection capabilities, and implement automation to improve the effectiveness and efficiency of security operations. The role combines hands-on incident response with proactive security engineering, helping the firm move from reactive alert management toward an increasingly automated, intelligence-led security operating model. Operating within a geographically distributed organization, the successful candidate will work closely with global and regional technology and security teams, provide technical leadership during significant incidents, and contribute to the continuous improvement of security capabilities. Based in APAC, the role will provide critical regional coverage as part of a coordinated global security operations function. Responsibilities Advanced Investigation and Incident Response Serve as a senior escalation point for security incidents, assuming ownership of complex, ambiguous, and high-severity events that exceed first-line triage capability. Conduct detailed investigations to establish initial access vectors, attacker activities and objectives, scope of compromise, and dwell time, documenting findings to an appropriate evidentiary standard. Perform root cause analysis on confirmed incidents and near misses, identifying underlying security control or process failures rather than simply addressing immediate symptoms. Act as technical lead during significant incidents across containment, eradication, and recovery, coordinating activities across global and regional teams. Conduct host and network forensics and malware triage, engaging specialist forensic providers where investigations exceed internal capabilities. Translate technical findings into clear statements of business risk for leadership and drive post-incident corrective actions through to closure. Investigate identity-based attacks, account compromise, unauthorized access, and suspicious activity across cloud platforms and enterprise applications, including Microsoft 365 and Entra ID. Participate in an on-call rotation and provide out-of-hours escalation support during serious incidents, and undertake additional projects and activities as required. Security Automation & Detection Engineering Design, build, tune, and maintain detection content mapped to the MITRE ATT&CK framework, identifying and reporting coverage gaps against threat actor tactics, techniques, and procedures relevant to the firm. Reduce false-positive volume and analyst alert fatigue through systematic tuning, suppression logic, and automated alert enrichment. Operationalize threat intelligence by translating reporting and indicators of compromise into actionable detections, threat-hunting hypotheses, and preventive controls. Design, develop, and maintain automated response playbooks, including Logic Apps, automation rules, and SOAR workflows, to reduce mean time to detect and respond. Write and maintain queries, scripts, and code (KQL, PowerShell, Python, or equivalent) supporting detection, enrichment, automated triage, and reporting. Integrate security tooling and data sources through APIs and connectors, including onboarding new log sources with appropriate parsing, normalization, and validation. Continuously assess and improve security monitoring, detection, and response capabilities, identifying opportunities to strengthen coverage, reduce operational complexity, and improve effectiveness through automation and technology optimization. Identify opportunities to apply AI-assisted investigation, alert triage, and security automation capabilities to improve detection effectiveness, reduce manual effort, and accelerate incident response. Conduct proactive threat hunting to identify suspicious activity, validate detection effectiveness, and uncover threats that may evade existing security controls. Requirements This is a hands-on technical role requiring demonstrated depth in security operations, sound technical judgment, and the ability to work with limited supervision. We value analytical rigor, curiosity, initiative, and a willingness to share knowledge and develop others as highly as any individual technology or certification. Compulsory Requirements: 5+ years of experience in security operations, incident response, or detection engineering, including demonstrable experience working in a Security Operations Center (SOC). Proven experience leading complex technical investigations end to end, from escalation through root cause analysis to documented remediation. Deep, hands-on expertise with modern SIEM and endpoint detection and response (EDR) platforms, including authoring and optimizing detection logic, conducting investigations, and managing data onboarding. Strong practical automation and scripting abilities, including KQL and at least one of PowerShell or Python, with demonstrated experience developing and operating automation in production. Experience designing and maintaining automated response playbooks using Logic Apps, automation rules, or comparable SOAR capabilities. Advanced knowledge of the MITRE ATT&CK framework, Cyber Kill Chain analysis, and established incident response methodologies, such as PICERL. Strong working knowledge of TCP/IP and networking, Windows and Linux operating systems, Active Directory, Entra cloud identity and authentication, and security operations across cloud and hybrid environments. Experience with host and network forensics, malware triage, and the analysis of malicious email headers, links, and attachments. Strong written and verbal communication skills, including the ability to communicate technical findings and security risks to both technical and nontechnical audiences. Ability to work independently and collaborate effectively with geographically dispersed teams, with flexibility to provide out-of-hours support during significant security incidents. Occasional travel to support global cybersecurity operations and incident response may be required Preferred Requirements: Bachelor's degree in Information Security, Information Technology, Computer Science, or a related discipline, or equivalent professional experience. Industry certifications such as GCIH, GCIA, GCFA, GREM, OSCP, CySA+, SC-200, AZ-500, or CISSP. Hands-on experience with Microsoft security technologies, including Microsoft Sentinel, Microsoft Defender XDR, Microsoft Entra ID, and Microsoft Azure. Experience operating within a global, federated, or shared-services model, ideally in professional services or another highly regulated sector. Familiarity with ISO 27001, the NIST Cybersecurity Framework, or comparable control frameworks Benefits Benefits are aligned with the respective location. The above is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.

Location: Thessaloniki, Greece As a Software Engineer at Alumil , you will join the Digital Customer Solutions team, helping to support and improve the software tools we provide to our clients. You'll be involved in maintaining current applications, fixing bugs, and gradually working on new development projects under the guidance of more experienced team members. You’ll collaborate closely with other engineers and departments, learn how to understand user needs, and help turn those needs into working software solutions. Also, you will work closely with cross-functional teams to deliver high-quality software that meets user needs and exceeds expectations. You will play a critical role in designing, developing, and maintaining software solutions that enhance our operational efficiency. Let's take a closer look into your daily tasks: Craft, test, and uphold cutting-edge software applications and systems Work alongside product and project teams to gather insights and define software requirements Identify and troubleshoot software defects and challenges Adopt and promote best practices in coding and documentation Engage in discussions regarding system architecture and design Create software solutions tailored to the needs of our parent company and its subsidiaries Compile deliverables along with user instructions Conduct thorough testing to ensure application accuracy Your impact Your contributions will support the quality and performance of Alumil’s digital products. As you grow in your role, you’ll help us offer better technology solutions to our clients and the wider engineering industry. This is a great opportunity to build your skills, work in a supportive team, and be part of a company that values innovation and continuous learning. ▶️ Are you passionate about developing applications from concept to completion to improve business services and enhance the way your colleagues and clients work? If so, you're in the right place! Requirements A degree in Information Technology, Computer Science, or a related field Previous experience in developing applications using Angular and Node.js Understanding of web services (e.g., JSON, XML, REST) Professional experience with databases (e.g., MySQL, SQL Server, Oracle) Team player with effective communication skills Flexibility, critical thinking and problem-solving Good knowledge of English Benefits Provision of private life & health insurance Annual performance bonus Work equipment & tools Annual customized training plan Hybrid working model About us At ALUMIL we are building excellence every day. Alumil has more than 30 years of experience in the production of architectural aluminium systems and 3.000 employees. We are one of the most advanced companies globally owning state-of-the art production lines in our 12 factories in Europe. Alumil, is a family-owned business that also embraces all of its employees like family. Our culture’s primary focus is on integrity, team spirit, initiative, loyalty and “meraki” (spirited work). ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure Engineering team enables Reddit to deliver Reliability, Performance, and Efficiency, with a single opinionated technology stack. We empower Reddit developers by delivering a reliable, scalable, and automated foundation - unifying compute, seamless deployments, robust storage, and high-performance messaging to maximize developer velocity and system resilience. This centralized role hires across several high-impact teams, including: Messaging: Delivers a reliable, performant, and efficient platform to support asynchronous communication across all products and services at Reddit. Site Defense: Builds platforms that detect and mitigate bots, scraping, and abusive traffic while preserving a reliable experience for legitimate users across Reddit. Infrastructure Security: Builds platforms for service identity, secrets management, and secure access that make Reddit’s infrastructure secure by default. What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Engineering: Design, build, and evaluate A/B experiments. Work with tools like BigQuery, HEX, or Firebase to analyze user behavior, conversion funnels, and retention loops to make data-backed engineering decisions. API & System Performance: Build and maintain scalable APIs (GraphQL, REST, gRPC) and distributed backend services optimized for client consumption and consumer UI performance. Technical Rigor & Modern Tooling: Establish engineering best practices, improve developer workflows, mentor teammates, and use modern, AI-integrated tools to ship high-quality products efficiently. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities Who you might be: 3+ years of experience building internet-scale software, preferably with a focus on distributed systems infrastructure or infrastructure security. Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java Experience with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP) Hands-on experience implementing features, optimizations, and bug fixes to distributed messaging systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. Degree in Computer Science or equivalent technical field. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,000 — $229,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. How would you like to influence the most successful gaming platform of all time by validating the very technology our developers use to build extraordinary games? Role Summary: Sony Interactive Entertainment (PlayStation) is seeking a Software Development Engineer in Test (SDET) to provide hands-on engineering excellence across our SDK ecosystem. This role focuses on building tools and infrastructure for analyzing the quality of the PlayStation SDK and related technology. While this is the primary domain, there are opportunities to expand into 3D graphics, spatial audio, artificial intelligence, and the fully integrated PlayStation game development environment. We are looking for someone who wants to directly impact PlayStation technology by developing tools and automated systems that deeply analyze SDK components and platform capabilities. You will help strengthen and evolve our testing infrastructure, raise the technical bar for quality engineering, and drive confidence in every release. If you’re passionate about solving complex system-level challenges and influencing technology used by people around the world, we want to hear from you, come help us power the future of PlayStation! What You'll Be Doing: - Crafting and improving automated test cases, sample applications, testing tools and frameworks for SDK libraries and low level software (C++) - Build and improve test infrastructure using Python and Groovy to simplify building, testing, and demonstrating PlayStation® sample applications. - Monitor test infrastructure, analyze automation failures, improve reliability, and optimize runtime performance. - Partner closely with software production and offshore teams to compose robust test plans, validation strategies, and documentation. - Define scalable, maintainable automation and infrastructure patterns that support long-term platform growth. - Contribute to architectural discussions for test systems spanning C++, embedded firmware (C), and Python-based infrastructure. - Identify technical risks early and drive mitigation strategies to protect release confidence. What We're Looking For: - Excellent interpersonal skills, including presenting technical direction to both engineers and executives. - Strong programming proficiency in Python & C++, as well as PyTest and GTest frameworks. - Self-directed, committed to producing strong results, and passionate about high-quality automation. - Experience building, running, and debugging software in both Windows & Linux environments. - Deep understanding of automation trade-offs and architectural design decisions. Nice-to-Have: - Exposure to Android platform, including SDK, tooling and architecture - Prior experience with PlayStation SDK development is helpful. - Familiarity with Unity, Unreal Engine or other game engine technology. - Containerization technology such as Docker and Kubernetes. - Proven experience leading complex debugging efforts. 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. 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 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. 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: Canada What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Santa Clara Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. About the Role We are looking for a HR Business Partner (HRBP) to serve as a strategic partner to our Engineering organization. This role sits at the intersection of business strategy and people strategy, working directly with senior engineering leaders (VPs, Directors, and Engineering Managers) to build high-performing teams, shape organizational design, and drive talent, culture, and change initiatives that scale with a fast-moving technology organization. This role requires deep credibility with technical audiences and a strong point of view on what great engineering culture looks like. What You'll Do Serve as a trusted strategic advisor to Engineering senior leadership, providing coaching and counsel on organizational design, workforce planning, leadership effectiveness, and team dynamics. Partner with engineering leaders to translate business and technical roadmaps into people strategies, including org design, span of control, and role architecture as the organization scales. Lead full-cycle talent management for the client group: performance management, calibration, succession planning, promotion processes, and career development frameworks tailored to engineering career ladders (IC and management tracks). Use data and analytics (attrition, engagement, hiring velocity, promotion equity, span of control) to diagnose organizational health and recommend proactive interventions. Partner closely with Talent Acquisition to inform hiring strategy, headcount planning, and workforce composition for engineering. Lead or co-lead org design and change management efforts tied to reorganizations, M&A integration, or rapid scaling. Coach engineering managers and directors on leadership skills, difficult conversations, team performance, and conflict resolution. Drive compensation planning cycles (merit, equity refresh, promotions) in partnership with Total Rewards, ensuring internal equity and market competitiveness for technical roles. Own employee relations matters within the client group, ensuring fair, consistent, and legally sound resolution of issues. Champion diversity, equity, and inclusion initiatives specific to the challenges of building diverse technical teams. Partner cross-functionally (Talent Acquisition, L&D, Legal) to design and deliver programs that meet the unique needs of engineering. Act as a culture carrier, helping engineering leaders build and reinforce an environment of technical excellence, psychological safety, and inclusion. What We're Looking For 7–10+ years of progressive HR Business Partner experience, with a significant portion spent directly supporting Engineering, R&D, or other highly technical client groups. Proven experience operating at a senior level, partnering directly with VP- and Director-level engineering leaders. Deep understanding of engineering organizational structures, career ladders (IC vs. management tracks), and the specific talent dynamics of technical hiring and retention. Strong track record leading org design, workforce planning, and change management in a fast-paced, high-growth, or scaling technology environment. Excellent coaching skills with the credibility and presence to influence senior technical leaders. Data-driven approach to HR — comfortable building and interpreting people analytics dashboards to inform decisions. Sound judgment and experience navigating complex employee relations issues; working knowledge of employment law. Experience leading or contributing to compensation cycles, including equity compensation, for technical roles. Exceptional communication, influencing, and relationship-building skills across all levels of the organization. Bachelor's degree required; advanced degree (MBA, HR, Organizational Psychology) or SHRM-SCP/SPHR certification a plus. The base pay range for this role is between $210,000 and $265,000. Base pay will depend on your skills, qualifications, experience. This is a regular, in office full-time position with Forward.  We are currently in office two days per week (Tuesday/Thursday) Location : Santa Clara, California

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As a Senior Security Operations Engineer you will: - Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues - Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default cloud controls - Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by paving the secure path using infrastructure-as-code modules and reusable code libraries - Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamlining authentication/authorization to ensure unified access control across the board - Deploy, integrate and operationalize security platforms and services including but not limited to SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling - Respond to security incidents and harden environments post-incidents. - Support control monitoring and remediation for compliance initiatives - Gather and analyze security metrics to address security issues with cross-team dependencies - Partner empathetically with engineering teams to understand their needs and deliver practical, scalable security solutions without creating unnecessary friction. You may be a good fit if: - 5+ years previous experience in SecOps, DevSecOps, Cloud Security, Threat Detection & Response or software development with a strong focus on security engineering. - You’re a hands-on security engineer interested in automating controls and building scalable solutions rather than relying on manual processes. - You have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environments - Familiarity with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI) - Have practical experience with one or more of : infrastructure automation, network segmentation, system hardening, container and cloud security concepts, and security observability - You have experience with multiple languages such as Golang and/or Python - Are comfortable navigating ambiguity, making informed decisions with incomplete information, and adapting your approach as requirements evolve. - You employ a flexible and constructive approach when solving problems - You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available - You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco Workplace: Hybrid 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 In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: New York Workplace: Hybrid 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 In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: Stamford, Connecticut, United States About the Role iCapital is seeking an Assistant Vice President Python Developer to join the growing Core Operations Technology team. This individual will have foundational experience in Python programming and a passion for building scalable, high-performance applications. This roles collaborates with senior developers and cross-functional teams to design, develop, test, and maintain software solutions. Responsibilities Develop, test, and maintain Python-based applications and scripts. Write clean, efficient, and well-documented code following best practices. Debug and resolve issues in existing code. Collaborate with team members on code reviews, design discussions, and agile development processes. Participate in the development of REST APIs, web services, and data processing pipelines. Assist in writing unit tests and automated test cases to ensure quality and performance. Support the integration of third-party libraries and APIs. Maintain version control using Git and follow CI/CD practices. Work with Lambda functions for serverless computing tasks. Manage and interact with AWS S3 buckets for file storage and retrieval. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Bachelor's degree in computer science, software engineering, or a related field or equivalent relevant experience 5-7 years of Python development experience, including Python, web scraping tools (Playwright, Selenium), REST APIs, JSON, and Git Working knowledge of SQL and databases (PostgreSQL, MySQL), Linux and Unix environments, and web frameworks such as Flask or Django Experience with AWS services, including Lambda, S3, and serverless application development; familiar with Azure or GCP is a plus Exposure to testing frameworks such as pytest and unittest, Docker, front-end technologies (HTML, CSS, JavaScript), and Agile methodologies Strong analytical, problem-solving, communication, and collaboration skills, with attention to detail and a commitment to quality Benefits The base salary range for this role is $110,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site   ABOUT THE ROLE We are looking for a Robotics Prototype Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the assembly, integration, testing, and validation of advanced humanoid robotic systems. You will work hands-on with robotic hands, arms, end-effectors, actuators, sensors, and complex electromechanical assemblies, helping bring new robotic designs from engineering concepts to functional prototypes. Working closely with our Mechanical, Electrical, Embedded Software, and Controls teams, you will support prototype builds, troubleshoot hardware issues, perform calibration, and contribute to continuous design improvements. This opportunity is ideal for an early-career or intermediate engineer who enjoys practical engineering challenges, wants to strengthen their robotics expertise, and is excited to learn from a highly experienced multidisciplinary engineering team.   WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including dexterous hands, arms, actuators, and precision mechanisms. - Gain practical experience in robotic assembly, sensor integration, calibration, and hardware troubleshooting. - Collaborate with experienced robotics engineers across mechanical, electrical, embedded software, and controls disciplines. - Contribute directly to prototype development, testing, and continuous design improvements. - Build valuable experience in a fast-moving robotics R&D environment, working on real humanoid robots.   WHAT YOU’LL DO - Assemble and integrate robotic prototypes and electromechanical systems, including robotic hands, arms, end-effectors, actuators, sensors, and mechanical assemblies. - Support prototype builds, hardware integration, and system commissioning, following engineering drawings, schematics, and assembly instructions. - Perform functional testing, troubleshooting, and validation of robotic components and assemblies. - Assist with sensor calibration and actuator commissioning, ensuring components operate according to engineering requirements. - Work closely with Mechanical, Electrical, Embedded Software, and Controls engineers to identify and resolve hardware integration issues. - Support rapid prototyping and design iterations, including mechanical adjustments, wiring modifications, component replacement, and testing. - Perform basic electrical and mechanical troubleshooting, using appropriate laboratory equipment and diagnostic tools. - Record test results, assembly observations, technical issues, and corrective actions, maintaining accurate engineering documentation. - Support routine maintenance, repairs, and upgrades of robotic prototypes and subassemblies. - Provide practical feedback to engineering teams to improve assembly processes, component reliability, and prototype performance. - Maintain an organized and safe working environment, including proper handling of specialized tools, equipment, and sensitive robotic components. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics, mechatronics, electromechanical assembly, hardware prototyping, or a related technical field. - Bachelor's degree or technical diploma in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience. - Hands-on experience assembling, testing, or troubleshooting mechanical and electrical systems. - Understanding of electromechanical components, including motors, actuators, sensors, wiring, and mechanical assemblies. - Ability to read and follow mechanical drawings, electrical schematics, wiring diagrams, and technical instructions. - Experience with soldering, wiring, connectors, cable assembly, or other precision assembly techniques. - Familiarity with basic electrical and mechanical testing equipment, such as multimeters, power supplies, and precision measurement tools. - Basic understanding of sensor integration, calibration, or actuator operation. - Strong practical problem-solving skills and a willingness to learn new technologies and engineering methods. - Good attention to detail when working with precision components and complex assemblies. - Ability to work effectively in a collaborative, fast-paced engineering environment.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Automation Test Engineer (Python) Senior United States Office APPLY NOW REFER A FRIEND We are looking for a QA Engineer to support validation and quality assurance activities for an IVI software platform. The engineer will work closely with development, systems, requirements, and integration teams to ensure software quality throughout the software development lifecycle. The role includes test planning and execution, requirements traceability, defect management, and verification of infotainment features across software and hardware environments. This includes hands-on testing on test benches, HIL/Labcar systems, integration rigs, and target hardware, ensuring that IVI functionality meets quality, performance, and reliability requirements while aligning with automotive development processes and standards. What project we have for you Join a team developing and validating a next-generation In-Vehicle Infotainment (IVI) platform for a leading automotive OEM. The project focuses on connected vehicle services, multimedia, navigation, and user experience features. You will support software validation across cloud, bench, Labcar, and target hardware environments, ensuring high quality, reliability, and compliance with automotive development standards. What you will do Review and analyze software requirements, user stories, and acceptance criteria. Develop and maintain test plans, test cases, and test execution reports. Execute functional, integration, regression, and end-to-end testing activities. Verify traceability between requirements, test cases, and defects. Identify, document, and track software defects through resolution. Collaborate with developers, product owners, and systems engineers to ensure product quality. Support release validation and software verification activities. Participate in Agile ceremonies and quality planning sessions. Contribute to continuous improvement of QA processes, tools, and methodologies. Support compliance with automotive software development standards and processes. What you need for this 8+ years of experience in Software Quality Assurance or Software Testing. Experience in automotive software, infotainment, HMI, connected vehicle, Android Automotive, or embedded systems projects. Strong understanding of Software Development Life Cycle (SDLC) and Agile methodologies. Hands-on experience in creating and executing test cases, test plans, and test reports. Experience with API, integration, and system-level testing. Knowledge of requirements management and traceability practices. Experience with requirements management tools such as Codebeamer or similar. Experience with cloud platforms, preferably AWS, and validation of cloud-based applications and services. Experience with test automation frameworks and scripting, such as Python, Selenium, Robot Framework, Appium, Playwright, or similar tools. Familiarity with CI/CD pipelines and tools such as GitHub Actions, or GitLab CI. Strong analytical, troubleshooting, and communication skills. Bachelor’s degree in Computer Science, Engineering, or a related field. Preferred Qualifications Experience supporting software releases in large-scale automotive programs. Knowledge of ISO 26262 and functional safety concepts. Experience working in distributed, cross-functional global teams. ISTQB certification or equivalent. Working knowledge of ASPICE and automotive software development processes. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Android Automotive Python Selenium