Back End Engineer Jobs

Toast is driven by building a platform that helps our customers adapt, take control, and get back to what they do best: building the businesses they love. From independent operators to global enterprise chains with thousands of locations, Toast powers the full guest and operator experience - point of sale, kitchen display, online ordering, analytics, and beyond. International expansion is a critical growth engine for Toast's future. Outside the US, we currently operate in Canada, UK, Ireland, and Australia and are actively growing our product platform in these markets. As we gain market share, we are increasing our up-market product investment into Mid-Market (MM). Our goal is to be able to win and retain larger and more complex restaurant and hospitality operators. As part of this team’s mission you will get close to customers to fully understand the nuances of each of their unique needs, to ensure your contributions are making a meaningful impact to their business. A day in the life (Responsibilities) Design, build and maintain high performing, flexible, and scalable solutions that help restaurants operate their business effectively Ship features end-to-end, from design through rollout, monitoring for success and iterating based on real-world use Be an awesome teammate who's all in on collaboration and collective success Collaborate closely with Product, Design and Engineering stakeholders Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 3+ years of backend/full-stack experience, delivering products that drive impact Ability to read and integrate with frontend applications; showing curiosity to work across the stack when needed Excited about AI-assisted development and LLM-based agents (Claude Code or similar), and interested in pioneering new workfl

About Toast: Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need. We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked. This is measurable, revenue-attached work. Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked. We're a small team with a large surface area, and we're early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks. You'll ship experiments into production, read the results, and decide what comes next, and you'll build the shared services that make each launch faster than the last. You'll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data. About this roll* Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes. Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild. Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and prov

Senior Software Engineer, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? As a Senior Backend Engineer on the Toast International team, you’ll play a pivotal role in engineering the platform that powers the next generation of guest reservations, dynamic floor management, and table operations across global markets like the UK, Europe, and Canada. You will lead the design and execution of core backend services—building scalable backend systems, robust integrations, data processing pipelines, and core platform capabilities. You’ll collaborate closely with engineering teams in North America and Europe, product managers, and designers to win high-value full-service restaurants worldwide. About this roll* (Responsibilities) Architect, implement, and scale distributed backend microservices (Java / Kotlin / AWS) powering reservations and guest management. Build core transactional and payment capabilities for the platform. Design robust integrations with third-party aggregators and partners and two-way POS synchronization. Implement tiering, entitlements, and usage metering services across freemium waitlists and premium subscription tiers. Partner cross-functionally with Mobile, Web/Frontend, Product Management, and UX to deliver seamless end-to-end features. Drive high standards of code quality, observability, test automation (unit, integration, and contract tests), and operational excellence. Mentor team members, participate in technical design reviews, and leverage modern AI development workflows to accelerate velocity and code quality. Do you have the right ingredients*? (Requirements) 5+ years of software engineering experience building scalable, distributed backend microservices in production. Deep proficiency in Java or Kot

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Experience Level: Engineer / Senior Engineer / Principal Engineer (E1–E5) As an NFI Engineer at Micron, you will support the debug and root cause analysis of NAND-related issues across a wide range of end products, including SSDs, UFS and other NAND-based storage solutions. Working closely with Product Development, System Engineering, Firmware, Quality, and Failure Analysis teams, you will investigate complex issues involving NAND devices, firmware interactions, media management, controller interfaces, and system behavior. You will analyze system logs, characterization data, protocol traces, electrical measurements, and failure analysis results to identify root causes and drive corrective actions. The role involves supporting product qualification and sustaining activities, identifying NAND design marginalities and defectivity-related issues, improving product robustness, and developing automation or AI-assisted workflows to improve debug efficiency and accelerate issue resolution. In addition, you will leverage AI-assisted tools, data analytics, and automation solutions to accelerate debug activities, improve root cause turnaround time, and enhance engineering productivity. Engineers are encouraged to explore innovative approaches using AI technolog

Location(s): US (remote), Boston (hybrid), or New York (hybrid) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a Staff Software Engineer to join the Voice AI Team. On the Voice AI Team, our mission is to build and operate the voice platform that powers Toast and to ship novel applications on top of it that create real value across Toast's customer base. This is a greenfield space where the platform and its use cases are being defined together, and the work you do here will be foundational to how Toast uses voice AI for years to come. As a Software Engineer on this team, you'll take ownership of significant projects end-to-end: designing systems, driving execution across the team, and making the technical decisions that shape how the platform grows. You'll work closely with product, engineering, and stakeholders across Toast to turn ambiguous problems into reliable, scalable systems. About this roll* (Responsibilities) Design, build, deploy, and maintain highly resilient and scalable backend services, applications, and core platform components supporting Toast's Voice AI platform used across teams Conceive and lead complex, cross-cutting projects from design through production, owning outcomes and driving alignment across stakeholders and across a broad range of stakeholders Shape the technical direction on your team and beyond by making architectural decisions, defining patterns, and reducing complexity for the engineers and teams that depend on your work Build and evolve integrations with AI platforms and internal Toast systems, making pragmatic tradeoffs between speed, reliability, and long-term scalability Establish and implement patterns for observability, monitoring, and evaluation frameworks for AI-powered systems, using production data to understand and continuously improve system behavior Set a

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As the OCT (Operations Central Team) MTE Materials Cash Cost Leader at Micron Technology, you will drive material cost reduction for Front End manufacturing. You will lead Value Engineering (VE), alternate sourcing, consumption optimization, and materials strategy to deliver year-on-year Cost per Gigabit improvement. This role combines technical expertise and strategic leadership, with broad cross-functional impact across the network. You will work closely with Cost teams, Global Procurement, CPEE, Technology Development, Fab teams, and suppliers. Key materials include Chemicals, Film & Gas, Photo, and CMP. Responsibilities: Drive Materials Cost Strategy and Goals Define and guide short- and long-term materials cost strategies aligned with manufacturing priorities and business goals Lead initiatives across multiple functions to identify, prioritize, and deliver cost reduction opportunities with measurable results Provide technical leadership in handling expenditures related to materials, guiding priorities and decisions across sites Define program scope, goals, timelines, and resources with collaborators Establish and improve methodologies, governance, and tools to scale and sustain cost

About the Role Together.ai is looking for a Senior Software Engineer to join the Customer Insights team. Customer Insights owns the customer-facing visibility layer of Together's Cloud — the systems that help customers understand what's happening in their environment, trace back what happened and why, and act on it with confidence. Every time a customer needs to understand their own activity — what happened, who did it, when, and whether it needs attention — they rely on the systems we build. Whether it's a developer inspecting recent activity, an enterprise team auditing their organization, or an operator diagnosing an anomaly, we make that visibility clear and trustworthy: simple for everyday cases, robust enough for complex organizational needs. We're turning today's fragmented visibility patterns into coherent product and platform foundations, and building toward a next generation of insight tooling that summarizes activity, explains anomalies, and correlates signals across surfaces — for both human operators and autonomous agents. You'll take ambiguous problems and turn them into a clear technical direction. You'll set the technical approach for significant pieces of the system, weigh in on architecture beyond your immediate area, and help less experienced engineers navigate unfamiliar problem spaces. You'll have real autonomy over how problems get solved, paired with a team that reviews, debates, and learns in the open. Responsibilities Design and ship core features of Together's Customer Insights platform — the systems customers rely on to see, trace, and act on their own activity. Drive the technical design for new capabilities, including proposing architecture, writing design docs, and getting buy-in across teams. Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and stream processing systems. Own significant areas of the system end-to-end —

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely. What you’ll do Embed & deploy Tackle greenfield problems alongside internal teams and customers — scope ambiguous needs and build agents from scratch that fit how they actually work. Own deployments end-to-end: discovery, build, integration, activation, and the tuning that earns trust and adoption. Lead pilots and demos, drive adoption, and clear blockers before they stall a rollout. Build agentic systems Architect agentic systems — reasoning, planning, tool use, memory, multi-agent coordination — that run real workflows with guardrails. Build safe tool-use infrastructure across APIs, databases, and services, with permissioning, sandboxing, and human-in-the-loop. Ship SDKs, patterns, and reusable blueprints so internal teams build and deploy agents fast. Make it reliable Design and run rigorous evals: measure quality, catch regressions, and feed results back into the system. Build observability, tracing, and guardrails that prove agents are safe and keep them safe as models and data drift. Own the multi-model inference your agents depend on (text, voice, code, vision) — latency, throughput, and cost. Lead Set technical direction and standards for agentic systems; mentor engineers and partn

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities Drive Cost and/or Max Out goals • Understand short-term and long-term Cost, Max Out goals within Front End and ensure alignment to corporate business goals. Initiate and drive cross-functional programs to achieve corporate business goals • Facilitate the definition of program scope, goals, deliverables, timeline and resource requirements in collaboration with sponsors and stakeholders • Manage the definition, refinement, and implementation of core methodologies and tools for business process including reporting • Drive delivery of IPP Goals Performance Deliver tactical support and program management • Establish structure and manage program dependencies, prioritize programs, track program milestone and deliverables • Enable program success through subject matter expertise • Deliver program proposals and regular progress reports • Identify potential roadblocks, develop and execute resolution plans • Facilitate regular meeting cadence with key business partners • Engage with ke

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Be open to >50% onsite work in a secured space. Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. Deploy and maintain Scale software at customer sites. Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Unders

Education Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience Extensive knowledge of Wealth Management, architecture, modules and hands on experience of front to back implementation of Wealth Management Suite Minimum 8 years of experience in Wealth Management Must have good experience of handling Trade Life Cycle Must have experience in implementing End to End solution in Wealth Management Must have good experience in API integration. Technical Skills Should have development experience in SQL-languages with understanding of SQL-databases Excellent understanding of the Asset Management and Investment Banking Experience in Business Analysis and System Implementation with extensive experience in Trading platforms Working knowledge of industry related protocols including FIX, EMSX and TSOX Experience in Wealth Management and Trading systems including Advent, SAXO, SWIFT, Bloomberg, Reuters General understanding of event driven systems Functional Skills Experience in Banking, Financial and Fintech experience in an enterprise environment preferred Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology Effectively research and benchmark technology against other best in class technologies Focus on quality of the deliverables to ensure long term stability of the system Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure they achieve various performance targets on NVIDIA platforms. In this role, you will augment NVIDIA's performance and benchmark teams with a dedicated CSP-facing focus. You will drive work streams with CSP engineering teams to build shared understanding of platform performance characteristics, gather and incorporate their workload-specific feedback into NVIDIA's optimization priorities, and validate that performance targets are met in customer-representative configurations. Your cross-CSP visibility enables you to identify patterns and drive systemic improvements in documentation, configuration guidance, and tooling. What you'll be doing: Drive performance characterization work streams with engineering teams of key CSP/hyperscale customers — ensuring they understand platform performance expectations, profiling methodology, and tuning options for their specific workloads Gather and synthesize CSP performance feedback — identify gaps between expected and actual throughput, and champion optimization priorities back into NVIDIA's CUDA, NCCL, driver, and firmware teams Ensure key open-source performance and stress tools (e.g., STREAM, GPU Burn, GPU BLAST) are updated and validated for the latest NVIDIA rack-scale systems, GPU architectures, and CPU platforms — so customers and internal teams have reliable baseline measurements from day one Work closely with CSPs to ensure their own performance and validation tooling reflects the latest GPU capabilities, memory hierarchy changes, and platform-specific tuning parameters Conduct cross-CSP performance comparison and pattern analysis — identify configuration, software, or workload differences that explai

Location: 3360 Wolfedale Road, Mississauga, ON (5 days a week on-site) Term: January–April 2027 (4 months), with the potential to extend through August 2027 Schedule: Full-time, Monday to Friday (8:30am-4:30pm) Pay: $26–$30 per hour About Clutch: We’re on a mission to reinvent the way people buy, sell, and own cars. Are you game? Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse thousands of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning. Named five years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, New Brunswick, Nova Scotia, British Columbia, and Prince Edward Island. Clutch is backed by several world-class investors, including Altos Ventures, Canaan Partners, BMO Capital, iA Financial, and FJ Labs. To learn more, visit clutch.ca. What you'll work on On an assembly line, every unit is the same. In our reconditioning facility, no two cars are the same. One car needs brakes and a detail; the next needs suspension work, bodywork and a part we have to order. Building standard work, staffing models and layouts around that kind of variation is the engineering problem you'll be working on. As a Production Development Engineering Intern, you'll own one main project, start to finish, and support one or two smaller ones. You'll agree on the main project and its target with your manager by the end of week two. Projects we expect to have this term include: Standardized work. Time-study a process within our production areas (I

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer’s workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Staff Engineer at Altana, that’s the work and you’ll lead others doing it. You’ll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You’ll measure your work in customer outcomes, not commits. You Will Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product bets your team is willing to ship behind. Partner with the product team to decide what to build, not just how . Form hypotheses about customer value, design the smallest experiment that could prove them out, and learn fast. Push back on briefs that aren’t grounded in evidence. Take new product surfaces from 0 to 1. Pitch, prototype, ship, and drive adoption with real users. You are as fluent in “did this land?” as you are in “is this maintainable?” Build AI‑native by default . LLMs, agents, evals, re

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer’s workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Senior Engineer at Altana, that’s the work and you’ll lead others doing it. You’ll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You’ll measure your work in customer outcomes, not commits. You Will Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product bets your team is willing to ship behind. Partner with the product team to decide what to build, not just how . Form hypotheses about customer value, design the smallest experiment that could prove them out, and learn fast. Push back on briefs that aren’t grounded in evidence. Take new product surfaces from 0 to 1. Pitch, prototype, ship, and drive adoption with real users. You are as fluent in “did this land?” as you are in “is this maintainable?” Build AI‑native by default . LLMs, agents, evals, r