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Location: Chicago, Austin DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Container Infrastructure team provides scalable on-premises and cloud-based container orchestration services for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We’re looking to expand our Container Infrastructure team. In this role you work closely with other teams and trading desks to ensure the performance and reliability of our Kubernetes platform. The platform is large: hundreds of clusters, thousands of nodes, and dozens of components. Common day-two tasks include development of new components, monitoring costs, and ensuring compute consumption for each desk is optimized. As a member of this team you will help administer the platform, engage with internal customers and infrastructure stakeholders to ensure the platform remains reliable, performant, and cost-effective. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Work with different business units to ensure a successful onboarding and deployment of applications into DRW’s Kubernetes platform. Relentlessly automate repetitive manual tasks. Provide exceptional customer service to our platform’s users. Solve complex problems, build new features/components, get to work every day with exceptionally talented and curious coworkers. Your background: Experience working with or administering Kubernetes Clusters. Knowledge of networking, storage, and containerization fundamentals. Familiarity with AWS and/or Google Cloud Platform. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics. You are eager to learn, collaborate, and find solutions under interesting constraints. Bonus points if you have: Experience with common Kubernetes operators (Flux, Fluentbit, Fluentd, Prometheus, etc.). Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $220,000 to $280,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: EU Remote; Bangalore Workplace: Remote ABOUT THE ROLE We are looking for an experienced software engineer to design, build, and evolve scalable, reliable backend infrastructure that powers Cyberhaven's data security platform. You will work on technically challenging problems involving distributed systems, asynchronous processing, high-throughput data pipelines, storage systems, and cloud-native infrastructure. Our team builds and operates core platform services that process large volumes of data across distributed environments. We focus on scalability, reliability, performance, and efficient resource utilization while continuously evolving our architecture to support new capabilities and growing workloads. This is a hands-on engineering role with significant architectural ownership and opportunities to influence technical direction across the platform. We value engineers who understand how complex systems behave under load, reason about failure scenarios, and make pragmatic engineering trade-offs. WHAT YOU’LL DO - Design, build, and evolve scalable distributed backend systems and high-throughput data processing pipelines. - Develop reliable, high-performance services with a strong focus on concurrency, efficiency, and fault tolerance. - Design and improve event-driven architectures, asynchronous workflows, and distributed coordination mechanisms. - Solve complex engineering challenges involving consistency, retries, idempotency, deduplication, backpressure, and failure recovery. - Make architectural decisions involving distributed storage, messaging systems, and data processing strategies. - Identify and eliminate performance bottlenecks, improving throughput, latency, resource utilization, and infrastructure cost efficiency. - Drive architectural improvements and modernization of existing systems while maintaining production stability. - Own critical services end-to-end, from technical design and implementation to deployment, monitoring, and production operations. - Lead technical design discussions, evaluate architectural trade-offs, and establish engineering best practices. - Collaborate across engineering teams to define technical direction, develop platform capabilities, and solve complex cross-service challenges. WHO YOU ARE - Strong software engineering experience designing, building, and operating complex production backend systems. - Deep understanding of distributed systems fundamentals, concurrency, asynchronous processing, consistency, and fault tolerance. - Strong proficiency in Go, or comparable backend programming experience with the ability to become productive in Go. - Experience designing and operating systems using messaging technologies such as Kafka, Google Cloud Pub/Sub, or AWS SQS. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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. Affirm is building the next generation of customer identity and authentication. This role is a hands-on, mid-engineering position inside Information Security, contributing to core CIAM capabilities that protect customers and support growth. You will help build and maintain backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work with experienced engineers and partner teams to deliver scoped identity features with strong security fundamentals, reliability, and operational rigor. What you’ll do Build and ship customer-facing authentication features—from smoother login experiences to MFA, step-up authentication, and device binding—with mentorship from experienced engineers. Develop backend services and APIs in Python or Kotlin, turning product requirements into working software that helps customers access their accounts securely. Work with modern identity technologies such as Okta, Auth0, and ForgeRock, writing custom code and integrations that connect identity capabilities to web, mobile, and partner applications. Take scoped features through the software development lifecycle: contribute to design, write readable code and automated tests, participate in code reviews, and deploy to production with support from the team. Solve real engineering problems by debugging services, improving reliability, and using logs and metrics to understand how your code behaves in production. Collaborate with engineering and product partners, learn secure development practices, and grow your software engineering skills while building expertise in authentication. What we look for We’re looking for a Mid-Level Software Engineer with solid engineering fundamentals, a passion for authentication, and an eagerness to learn customer identity and access management. You do not need extensive authentication or CIAM experience—we value your ability to build software, solve problems, and grow in the space. Demonstrated ability to write, test, and debug software in Python, Kotlin, or a similar language through coursework, internships, personal projects, open source, or professional work. No fixed minimum years of experience required. Foundational understanding of backend development, including APIs, data structures, databases, and version control. Genuine curiosity about how authentication works and motivation to build secure, reliable customer experiences. Prior experience with identity protocols or CIAM platforms is a plus, not a requirement. A practical problem-solving approach, willingness to ask questions, and openness to learning through mentorship and code review. Clear communication and the ability to collaborate with engineering, product, and security teammates. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - L Equity Grade - 6 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 base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000 USA base pay range (all other U.S. states) per year: $146,000 - $206,000 #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: 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. Affirm is building the next generation of customer identity and authentication. This role is a hands-on, mid-engineering position inside Information Security, contributing to core CIAM capabilities that protect customers and support growth. You will help build and maintain backend services that power registration, login, authorization, and account lifecycle flows across B2C and B2B experiences. You will work with experienced engineers and partner teams to deliver scoped identity features with strong security fundamentals, reliability, and operational rigor. What you’ll do Build and ship customer-facing authentication features—from smoother login experiences to MFA, step-up authentication, and device binding—with mentorship from experienced engineers. Develop backend services and APIs in Python or Kotlin, turning product requirements into working software that helps customers access their accounts securely. Work with modern identity technologies such as Okta, Auth0, and ForgeRock, writing custom code and integrations that connect identity capabilities to web, mobile, and partner applications. Take scoped features through the software development lifecycle: contribute to design, write readable code and automated tests, participate in code reviews, and deploy to production with support from the team. Solve real engineering problems by debugging services, improving reliability, and using logs and metrics to understand how your code behaves in production. Collaborate with engineering and product partners, learn secure development practices, and grow your software engineering skills while building expertise in authentication. What we look for We’re looking for a Mid-Level Software Engineer with solid engineering fundamentals, a passion for authentication, and an eagerness to learn customer identity and access management. You do not need extensive authentication or CIAM experience—we value your ability to build software, solve problems, and grow in the space. Demonstrated ability to write, test, and debug software in Python, Kotlin, or a similar language through coursework, internships, personal projects, open source, or professional work. No fixed minimum years of experience required. Foundational understanding of backend development, including APIs, data structures, databases, and version control. Genuine curiosity about how authentication works and motivation to build secure, reliable customer experiences. Prior experience with identity protocols or CIAM platforms is a plus, not a requirement. A practical problem-solving approach, willingness to ask questions, and openness to learning through mentorship and code review. Clear communication and the ability to collaborate with engineering, product, and security teammates. Base Pay Grade - L Equity Grade - Canada 5 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: $133,000 - $183,000 $CAD. 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: New York City Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in North America. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across North America. What You’ll Do - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia’s platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value. - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp. We’d love to hear from you if you have - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer’s use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English. We’d be particularly excited if - You have previous experience as an AE. - You have experience with video AI. Location We're looking for someone based in NYC for this role, who can commit to 2+ days a week in-office. Compensation We’re hiring Solutions Engineers across a range of experience levels and expect to pay between $171,609 and $222,502 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: Austin Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in North America. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across North America. What You’ll Do - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia’s platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value. - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp. We’d love to hear from you if you have - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer’s use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English. We’d be particularly excited if - You have previous experience as an AE. - You have experience with video AI. Location We're looking for someone based in Austin for this role, who can commit to 2+ days a week in-office. Compensation We’re hiring Solutions Engineers across a range of experience levels and expect to pay between $155,621 and $211,197 OTE (on-target earnings), split 70% base / 30% variable, with the variable portion paid quarterly.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and merchants every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s (& Doordash’s) growth at scale. We’re looking for a Staff Software Engineer to join our Event Streaming Systems team. This is a hybrid role. In this role, you’ll provide technical leadership for the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. You’ll help define the long-term direction of our messaging and streaming platforms, lead high-impact technical initiatives across teams, and raise the reliability, scalability and operational excellence bar for Tier-0 infrastructure. What You’ll Be Doing You’ll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions (internally called EventBus), messaging platform capabilities, and future streaming technologies. The team also partners closely with Database Reliability, Storage, SRE, Data Platform and Core Infrastructure teams to ensure our most critical data and messaging systems remain reliable, operable and cost-efficient at global scale. These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale. Here’s what your day-to-day might look like: Define and drive the technical vision and roadmap for our event streaming and messaging platforms, balancing reliability, scalability, cost, operability and developer experience. Lead team-level and cross-team initiatives for Kafka, EventBus and related streaming infrastructure, from ambiguous problem definition through architecture, delivery, rollout and adoption. Act as a trusted technical advisor for Kafka, messaging, storage-adjacent and DBRE-related platform decisions across Deliveroo, DoorDash and Wolt. Design durable, extensible systems and platform capabilities that can be leveraged by other engineers and teams, reducing duplicated effort and operational risk. Lead the resolution of complex distributed systems problems, including reliability incidents, performance bottlenecks, capacity constraints, data-safety risks and production-operability gaps. Raise the operational excellence bar for Tier-0 infrastructure through observability, automation, incident response, runbooks, operational readiness and continuous improvement. Proactively build alignment with partner teams, including EventBus, Storage, DBRE, SRE, Data Platform and Core Infrastructure, shaping joint goals and mitigating cross-org delivery risks. Mentor and grow engineers through technical guidance, design, feedback, code review, incident review facilitation and knowledge-sharing across the engineering community. Evaluate emerging streaming, storage and automation technologies, including AI-enabled operational tooling where appropriate, and champion pragmatic adoption where they can materially improve quality, velocity or efficiency. What You’ll Need to Thrive Our ideal candidate will bring deep expertise in several of these areas and the judgment to lead others through ambiguity: Significant experience building, operating and evolving distributed systems in production, ideally for platform or infrastructure teams supporting critical workloads. Deep hands-on experience with Kafka or comparable event streaming systems as a platform, infrastructure service or business-critical production dependency. Strong technical leadership skills, with a track record of defining technical direction, shaping roadmaps and leading multi-engineer or cross-team initiatives. Ability to make and own technical decisions in ambiguous situations, using data, operational signals, customer needs and long-term system health to guide tradeoffs. Strong coding ability in Java, Go, Python or similar languages, with a focus on reliable, maintainable, observable and scalable production systems. Experience improving production reliability through automation, observability, capacity management, incident response, operational readiness and sustainable on-call practices. Strong distributed systems fundamentals, including Linux, networking, storage, JVM-based systems, fault tolerance, backpressure, capacity planning and performance tuning. A force-multiplier mindset: you create leverage through reusable technical foundations, clear documentation, strong engineering practices, mentoring and removing single points of failure. Strong communication and stakeholder management skills, with the ability to influence platform, infrastructure, product and reliability teams without relying on authority. Nice to have Experience contributing to Kafka or related open source distributed systems. Experience with Redpanda, WarpStream, AutoMQ, Pulsar or similar streaming technologies. Experience with JVM tuning, diskless streaming architectures or multi-region event streaming platforms. Experience operating Tier-0 infrastructure at large scale, including incident leadership and post-incident improvement programs. Experience with database reliability, storage systems, data platforms or DBRE practices in addition to event streaming. Experience using automation or AI-assisted operational tooling to improve reliability, developer experience or incident response quality. Why Join Us? At Deliveroo (Doordash), you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale. Work on complex, always-on infrastructure that impacts millions every day. 🌱 See your impact, fast. Shape the direction of foundational platforms used by teams across Deliveroo, DoorDash and Wolt. 🧠 Grow through challenge and ownership. Lead ambiguous, high-impact technical problems with strong support from peers and leaders. 🌎 A culture built for builders. High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create. Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom Workplace: remote We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 80 200 gross Final benefits may vary depending on the location.

Location: Lviv Workplace: remote ELEKS Software Engineering and Development Office is looking for a Trainee / Junior PHP Developer in our offices in Ukraine. Our project is a German event management and marketing platform that helps customers create events with different ticket categories, sell tickets, analyze event performance, and collect feedback from organizers. Our client works with large companies that organize conferences, trade fairs, and other corporate events. REQUIREMENTS Understanding of programming fundamentals and how software is built Basic knowledge of PHP 8.4 and object-oriented programming; hands-on PHP experience is a plus but not mandatory Openness to learning PHP with Laminas or writing backend code in Node.js Basic understanding of relational databases and SQL; familiarity with MySQL 8.4 or PostgreSQL 14 Basic understanding of REST APIs Familiarity with Git and Composer Some hands-on experience with AI tools for software development Ability to use AI thoughtfully: define tasks and acceptance criteria, review and test AI-generated output, and refine it where needed rather than copying it without verification Interest in a full-stack role and willingness to work across both backend and frontend development Upper-Intermediate level of English WOULD BE A PLUS Familiarity with TypeScript and Angular 21 Experience with PHP or another backend language Basic knowledge of Docker Familiarity with PHPUnit and test writing Interest in AWS services such as S3 or SQS Basic knowledge of NoSQL databases, such as DynamoDB Familiarity with Swagger/OpenAPI, Propel ORM, or microservices Experience working with third-party APIs, such as PayPal or Google Analytics RESPONSIBILITIES Conduct a simple range of programming tasks including analysis, coding, and debugging of complex program logic Conduct test procedures by using testing, and debugging programs Develop algorithms according to technical specifications or other requirements documentation Use standard algorithms in the applicable cases Write program code according to the defined application architecture Structure and format source code, comment and mark up the code, as well as name variables, functions, classes, data structures, and files according to the company conventions and industry best practices Track changes, compare source code in the defined version control system Agree task deadlines with Senior Developer or Technical Leader WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with a low level of bureaucracy

Location: Remote, Canada; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Engineering Manager, Gitaly at GitLab, you'll guide a deeply technical team focused on building, maintaining, and providing expertise on Gitaly, GitLab's Git data storage tier. The team's work spans development of Gitaly, support for teams across GitLab, new tooling, scalability improvements, new data formats, and ongoing maintenance of the Gitaly codebase. This role is a good fit for you if you can guide senior and staff engineers through complex, long-horizon technical work while building a culture of technical rigor, clear accountability, and ownership. You'll help the team balance roadmap delivery with GitLab product and infrastructure priorities, especially as much of the team's work is centered on scaling Git storage and adjacent foundational work. Clear written communication and thoughtful technical judgment are central to how this team succeeds. Project areas include: Scaling Git storage Gitaly-related infrastructure and foundational performance work What you’ll do Manage a team of senior and staff engineers working on Gitaly and Gitaly-related infrastructure. Build a team culture where technical rigor, clear accountability, and ownership are the norm. Drive execution on complex, long-horizon work across performance, scalability, maintainability, and core Gitaly architecture. Guide the team in balancing roadmap delivery with GitLab product and infrastructure priorities. Support your engineers' growth through feedback, mentoring, career development, and stretch opportunities. Foster strong written communication and asynchronous alignment across a fully distributed team. Partner with teams like Git and other stakeholders who rely on Gitaly expertise for performance, feature design, and roadmap clarity. Represent the team credibly with cross-functional partners and in stakeholder conversations about Gitaly direction, performance, and scalability. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience managing engineering teams with direct reports, including hiring, performance management, and career development. A management philosophy centered on building engineer agency and ownership, with credibility grounded in consistency, follow-through, and technical judgment. Proven ability to guide highly specialized engineers through ambiguity, structured debate, high-stakes technical tradeoffs, and the realities of operating a service that is critical to GitLab. Strong written communication and remote, asynchronous collaboration skills across distributed, multi-timezone teams. You're comfortable moving work forward in documents, issue threads, and asynchronous reviews, not just in meetings. A track record of delivering under pressure on ambiguous, long-horizon technical projects with clear outcomes, and of reasoning from fundamentals about maintainability, technical debt, and long-term platform viability. Hands-on background in version control systems, distributed systems, storage engines, or other low-level infrastructure domains, with the ability to engage credibly with systems code and architecture, ideally in Go or similarly performance-sensitive environments. About the team On the Gitaly team, we build, maintain, and provide expertise on Gitaly, GitLab's Git data storage tier. Our core work includes development of Gitaly, supporting teams across GitLab, and ensuring the long-term viability of the project. We are a deeply technical team that balances long-running technical work with practical delivery. Strong collaboration with partner teams is central to how we succeed. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a high-ownership Mobile Engineer to join our team in Singapore. In this role, you will build, optimize, and scale consumer-facing mobile experiences that drive core growth across global markets—from acquisition and activation to trading conversion. We operate as an AI-native engineering team : we expect engineers to leverage modern agentic workflows (like Claude Code, Codex, and automated developer tooling) to build scalable features rapidly and craft next-generation engineering systems. While deep native Android proficiency is required, you will think holistically about the entire mobile lifecycle, taking end-to-end product ownership and collaborating across platform boundaries. What You'll Be Doing Drive Growth & User Experience: Design, build, and optimize high-impact mobile features focused on improving user acquisition, activation, trading conversion, and overall mobile user experience across global markets. Take End-to-End Ownership: Partner directly with Product Managers, Designers, Data Analysts, and Backend Engineers to define product requirements, tie technical execution directly to business metrics, and see features through from ideation to production impact. Pioneer AI-Native Workflows: Actively integrate modern AI engineering tools (e.g., Claude Code, Codex) into your daily routine. Help design and institutionalize automated, AI-powered development workflows, testing suites, and internal developer tooling beyond simple code generation. Shape Shared Mobile Architecture: Deliver robust native Android features while thinking beyond a single platform—contributing to shared mobile architectural standards, unified client-side design patterns, and cross-platform infrastructure. Iterate with Data & Rigor: Instrument robust event tracking, execute rigorous A/B experiments, analyze user behavior data, and iterate rapidly to drive sustained conversion improvements. Uphold Engineering Excellence: Write clean, modular, and resilient code. Maintain high standards for automated testing, performance tuning, crash-free session rates, and secure release governance. What We Look For In You Native Android Foundations: Solid software engineering fundamentals with production experience building, optimizing, and maintaining scalable native Android applications (Kotlin, modern Jetpack libraries, Clean Architecture). AI-Native Mindset: Active practitioner of modern AI coding assistants and agents (e.g., Claude Code, Codex, Cursor). A genuine drive to automate repetitive tasks and build AI-augmented developer workflows. Business & Product Ownership: Understanding user needs, business metrics, and taking end-to-end ownership of features and outcomes. Cross-Platform Vision: Ability to think beyond a single platform and contribute to shared mobile architecture. Experimentation & Execution: Hands-on experience or familiarity with mobile analytics, A/B testing methodologies, feature flagging, and rapid conversion optimization. Nice-To-Haves Experience in Fintech, Crypto, high-frequency trading platforms, or high-growth consumer apps. Experience maintaining or contributing to shared mobile frameworks, multiplatform architectures (e.g., Kotlin Multiplatform), or design systems. Experience building or maintaining modern mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, custom Gradle plugins). Proficiency in speaking, reading, and writing in both English and Mandarin to collaborate seamlessly with distributed product and engineering teams across global offices. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team builds innovative cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Senior Staff Software Engineer to shape our engineering strategy, lead complex initiatives across multiple teams, and drive architectural excellence across the organization. This role is ideal for a highly experienced technical leader who combines deep engineering expertise, strong architectural judgment, and the ability to translate complex business challenges into scalable technical solutions. This is a full-time, hybrid position requiring 1 day per week in the office to support close cross-functional collaboration. Day in the Life: Architect and deliver strategic engineering initiatives spanning multiple squads, coordinating parallel execution across engineers and AI agents. Own multi-squad systems architecture and establish technical direction, ensuring solutions are scalable, secure, reliable, and cost-effective. Solve complex, organization-wide engineering challenges and drive architectural improvements that benefit multiple teams. Lead critical technical escalations and complex system incidents, driving effective recovery and long-term reliability improvements. Shape AI adoption strategies across engineering teams, including AI-assisted development, automated incident response, and production safeguards. Partner with engineering leaders, Product, and business stakeholders to translate ambiguous business problems into technical strategies that support organizational goals. Establish engineering best practices, mentor technical leads, and raise engineering standards through influence and collaboration. Who You Are: 10 to 12+ years of experience building, architecting, and scaling complex production software systems. Deep expertise in at least one mainstream programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to work across different technology stacks. Excellent computer science fundamentals, problem-solving skills, and architectural design capabilities. Proven experience owning complex systems and driving technical architecture and initiatives across multiple engineering teams. Strong understanding of distributed systems, system scalability, security, performance, and architectural trade-offs. Demonstrated ability to lead high-impact engineering projects, manage critical technical escalations, and make sound decisions under pressure. Strong strategic thinking and communication skills, with the ability to influence engineering direction and align technical decisions with business objectives. Proven ability to mentor senior engineers and technical leads while building ownership and technical capabilities across teams. Experience driving engineering improvements, technical standards, and organizational adoption of new technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience implementing AI-assisted engineering workflows, agent-driven development, or AI-powered incident management. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: Hybrid setup/WFH schedule Monthly salary paid directly to your bank account Health insurance coverage Flexible paid time off (PTO) Flexible working hours Observance of Singapore public holidays Company-provided work device CPF contributions and tax processing handled by Workstream Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Shanghai and Chengdu Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, and NUS, with broad industry experience from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team builds innovative cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We're looking for an experienced Senior Staff Software Engineer to shape our engineering strategy, lead complex initiatives across multiple teams, and drive architectural excellence across the organization. This role is ideal for a highly experienced technical leader who combines deep engineering expertise, strong architectural judgment, and the ability to translate complex business challenges into scalable technical solutions. This is a full-time, hybrid position requiring 1 day per week in the office to support close cross-functional collaboration. Day in the Life: Architect and deliver strategic engineering initiatives spanning multiple squads, coordinating parallel execution across engineers and AI agents. Own multi-squad systems architecture and establish technical direction, ensuring solutions are scalable, secure, reliable, and cost-effective. Solve complex, organization-wide engineering challenges and drive architectural improvements that benefit multiple teams. Lead critical technical escalations and complex system incidents, driving effective recovery and long-term reliability improvements. Shape AI adoption strategies across engineering teams, including AI-assisted development, automated incident response, and production safeguards. Partner with engineering leaders, Product, and business stakeholders to translate ambiguous business problems into technical strategies that support organizational goals. Establish engineering best practices, mentor technical leads, and raise engineering standards through influence and collaboration. Who You Are: 10 to 12+ years of experience building, architecting, and scaling complex production software systems. Deep expertise in at least one mainstream programming language (JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, etc.), with the ability to work across different technology stacks. Excellent computer science fundamentals, problem-solving skills, and architectural design capabilities. Proven experience owning complex systems and driving technical architecture and initiatives across multiple engineering teams. Strong understanding of distributed systems, system scalability, security, performance, and architectural trade-offs. Demonstrated ability to lead high-impact engineering projects, manage critical technical escalations, and make sound decisions under pressure. Strong strategic thinking and communication skills, with the ability to influence engineering direction and align technical decisions with business objectives. Proven ability to mentor senior engineers and technical leads while building ownership and technical capabilities across teams. Experience driving engineering improvements, technical standards, and organizational adoption of new technologies. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Nice to Have: Experience with Ruby on Rails or Node.js. Experience with both is a plus. Familiarity with React, TypeScript, PostgreSQL, MongoDB, and Redis. Experience with AWS, Terraform, microservices, and distributed systems. Experience implementing AI-assisted engineering workflows, agent-driven development, or AI-powered incident management. Experience working with globally distributed engineering teams across multiple time zones. What We Offer: A mission-driven and value-based company dedicated to empowering deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup Work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage In-office amenities and stocked kitchen Flexible PTO Hybrid Office/WFH schedule Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Mumbai, Maharashtra, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Senior Full-Stack Engineer Location: Mumbai, India Employment Type: Full-time Experience Level: 5+ years of professional software engineering experience Work Model: Hybrid, with three days per week in the Mumbai office Why Join the Team? You will build and support applications used by asset management clients, including a private equity dashboard and related enterprise software. This is a hands-on role with ownership of complex features and application changes from requirements and design through deployment and production support. You will work across the Python backend, React frontend, APIs, integrations, and database layer while making sound engineering trade-offs and delivering maintainable software. You will also have the opportunity to use AI-enhanced development tools such as Claude and Codex across design, implementation, testing, debugging, and code review. As a Senior Full-Stack Engineer, You Will Build Full-Stack Features Design and deliver production features using Python and React, taking ownership of complex implementation decisions. Develop Backend Services Build and maintain Python backend applications, services, and APIs. Build User Interfaces Develop responsive and usable web applications with React. Own Delivery End to End Translate requirements into technical designs, identify dependencies, and drive delivery through testing, release, deployment, and production support. Build Enterprise Integrations Implement integrations across APIs, relational databases, and enterprise systems. Support Production Applications Investigate issues, contribute to root cause analysis, support deployments, and help maintain reliable production applications. Maintain Engineering Quality Write automated tests, participate in code reviews, maintain clear technical documentation, and take ownership of code quality, security, and correctness. The Anti-Sell Hands-on engineering: This is not a role for someone who primarily coordinates work or implements specifications without owning the underlying problem. You will be expected to design, build, test, deploy, and support production software. Full-stack ownership: You should be comfortable working across Python backend services, React applications, APIs, databases, authentication, testing, and deployment. Independent judgment: You will be expected to evaluate trade-offs, diagnose complex problems, ask the right questions, and move work forward with minimal direction. AI-assisted development with accountability: You may use Claude, Codex, and other AI development tools, but you remain responsible for evaluating their output and ensuring the resulting code is secure, correct, maintainable, and production-ready. Our Senior Full-Stack Engineers Typically Have Production full-stack experience: A track record of delivering production full-stack applications and taking technical ownership of complex features. Python backend expertise: Hands-on experience building backend applications, services, and APIs with Python. React experience: Hands-on experience building and maintaining production web interfaces with React. Enterprise application fundamentals: Experience with authentication, application design, testing, deployment, SQL, data modeling, and relational databases. Integration and cloud experience: Experience integrating applications with APIs and enterprise systems, deploying applications on a cloud platform, and supporting production systems. AI-enhanced software development: Practical experience using Claude, Codex, or similar tools across the software development lifecycle, with the judgment to evaluate AI-generated code and maintain ownership of quality, security, and correctness. Clear communication: The ability to collaborate effectively with engineers, business stakeholders, and cross-functional teams. Candidates whose experience is limited to prototypes, isolated frontend work, or work without production ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience building and testing AI agents that combine large language models with tools or APIs to support multi-step workflows. Experience evaluating agent outputs and handling failures. Experience building software for financial technology, asset management, or other enterprise environments. Demonstrated interest in financial technology and solving complex engineering challenges. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. WHAT YOU'LL DO - Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. - Build and improve services that support namespace provisioning, configuration, scalability, and reliability. - Develop data pipelines that process high-volume usage and operational data across multiple tenants. - Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. - Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. - Participate in code reviews, design discussions, incident response, and production debugging. - Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. - Improve developer and customer experience through automation, better tooling, and incremental product improvements. WHAT YOU'LL BRING - Experience building and operating production backend systems in a cloud environment. - Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. - Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. - Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. - Experience with databases, data pipelines, messaging systems, or object storage. - The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. - An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. - Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. - A commitment to correctness, maintainability, and leaving systems better than you found them. NICE TO HAVE - 3+ years of work experience - Experience with Go. - Experience with PostgreSQL, Redshift, Kinesis, Firehose - Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. - Familiarity with Kubernetes and cloud infrastructure. - Experience supporting on-call rotations, investigating incidents, or improving production observability. - Familiarity with Temporal concepts—or a strong interest in learning the platform. TECHNOLOGY STACK - Primary language: Go - Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse - Data processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core framework: Temporal You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.