Senior Services Architect Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Join a team focused on transforming how Mastercard's payment systems are built, scaled, and operated. As a Senior Software Engineer, you will lead the design and development of cloud-ready applications, microservices, and distributed systems that support large-scale payment processing platforms while helping advance modernization, automation, and engineering excellence across the organization. In this role, you will contribute to software architecture decisions, drive technical design discussions, and partner with engineers to deliver scalable, resilient, and maintainable software solutions. You'll have the opportunity to solve complex technical challenges, mentor other engineers, and influence how software is designed, developed, tested, and supported across critical technology platforms. What You Will Do •Design software solutions and contribute to software architecture decisions that support scalability, maintainability, and operational excellence. •Translate complex product requirements into technical designs and implementation plans. •Lead development of modular, extensible, high-performance applications. •Design and implement comprehensive unit, functional, and integration testing strategies. •Analyze, optimize, and improve application performance, scal

Overview: Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets. You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership. This role is hybrid in our Toronto Office What You'll Do: Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure. LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts. Multi-channel session management: stateful user interactions that move seamlessly across channels. Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back. Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes. Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads. Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors. Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them. Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable. Partner with product and compliance stakeholders to encode domain rules into the system. Set engineering patterns for a growing team: code review, observability, incident habits. What You Have: 6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestratio

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The filesystem has emerged as the preferred runtime interface for agentic AI. AI agents use the filesystem for context, memory management, artifact (dashboard, code etc) authoring, version control, sandboxing, and interacting between systems and agents. It is the foundational layer to accelerate AI adoption As a Senior Software Engineer on the Files team, you will innovate at the intersection of storage, performance, and distributed systems, directly shaping our filesystem strategy to power next-generation agentic workloads. The Impact You’ll Have Design, build, and operate the the filesystem platform powering tens of thousands of data, AI and agentic workloads daily Push filesystem performance for the most demanding workloads — profiling and optimizing across the stack, from the API layer down to the Linux kernel Partner with teams across the platform to design and evolve next-generation compute and storage architectures Set the technical direction for how content is organized across Databricks, standardizing around filesystem primitives that apply to every product surface What We’re Looking For Bachelor's degree (or higher) in Computer Science or a related field 5+ years of production-level experience in Java, Scala, C++, Go, Rust, or a similar language 3+ years of experience developing large-scale distributed systems Experience with

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Customer Engineering Team Mixpanel's Customer Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value, and serve as the technical counterpart to our Sales organisation to deliver on that value. You will partner closely with Account Executives, Customer Value Architects, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers' organisations, help manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer's Mixpanel investment. About the Role Our Customer Engineers are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to senior executives. In your first month, you'll become a Mixpanel expert—both in features and functionality as well as implementation. You'll shadow customer calls and demos with current Customer Engineers and Account Executives while learning to articulate our value proposition, and be trained on Mixpanel's internal systems and tools. Within your first three months, you'll be directly involved in deal cycles with Account Executives. You'll lead the technical qualification for customer use cases and deliver customised demos for prospects and existing customers, working directly with leadership at the prospect's organisation to understand business chall

Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale. The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows. As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams. You will: Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform. Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems. Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management. Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities. Improve the reliability, scalability, security, and developer experience of services that run critical company workflows. Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response. Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders. Ideally, you have: 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems. Experience building and operating production systems with

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a System Software Architect, you will play a pivotal role in designing and developing innovative software solutions that drive efficiency and scalability across Intel's manufacturing processes. You will be responsible for architecting robust systems and frameworks that enhance operational performance while ensuring seamless integration with existing technologies. Your contributions will directly impact Intel's ability to deliver world-class semiconductor products efficiently and reliably. Business Group Intel Foundry Services is at the forefront of manufacturing excellence, delivering cutting-edge solutions to meet the complex demands of the semiconductor industry. The group focuses on pioneering advancements in manufacturing technologies, infrastructure optimization, and secure operations, enabling Intel to stay ahead in a fast-evolving landscape. By joining this team, you will contribute to Intel's broader mission of solving technological challenges and empowering innovation worldwide. Key Responsibilities: - Architect scalable and efficient system sof

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision

Joining Capco means becoming part of an innovative and dynamic consultancy firm, committed to fostering an inclusive environment where you are encouraged to #BeYourselfAtWork. We embrace individuality as a key factor in promoting diversity and inclusion, values that sit at the core of our success. We aim to attract a wide variety of talented professionals with different skills and experiences. If you require any adjustments to support your application process, please feel free to inform us at any stage. ABOUT CAPCO Capco is a global technology and business consultancy that is passionate about supporting clients in the financial services sector to grow and succeed in today's ever-changing world. We are: Experts in banking, capital markets, payments and asset and wealth management. Trusted advisors in core banking, securities and wealth management transformation, regulatory change, risk management and technology modernization. A company dedicated to continuous development and excited to welcome top talent to help us drive innovation and deliver lasting results. A business built on agility, collaboration, and entrepreneurial spirit. THE ROLE We are looking for an experienced Senior Business Analyst to help shape the strategic transformation of our Financial Crime Compliance (FCC) and Market Conduct & Trade Surveillance (MCTS) capabilities within Legal & Compliance. Working at the intersection of compliance, business, technology, architecture and data, you will shape strategic target states, assess current capabilities and translate business and control objectives into prioritised transformation roadmaps and actionable requirements. You will facilitate complex cross-functional decisions and provide clear recommendations to senior management. You will act as the senior business-analysis and transformation lead for selected FCC and MCTS initiatives, shaping target states and roadmaps while working in close partnership with Compliance, Technology, Architectu

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We’re looking for a Senior Collaboration Platform Engineer to help us design, deploy, administer, and continuously improve Zoom Workplace and Microsoft 365 platforms across our global organization. In this role, you’ll work across platform engineering, automation, identity and endpoint services, and AI-enabled technologies. We’re investing in modern capabilities that improve reliability, reduce manual work, and create better experiences for employees. You’ll also have the opportunity to contribute to technical standards and future platform roadmaps. Key Responsibilities Collaborate with engineering and technology teams on architecture, standards, technical roadmaps, and engineering practices for Zoom and Microsoft 365 collaboration services. Engineer and administer Zoom Workplace, including licensing, policy controls, managed domains, governance, reporting, utilization analysis, and capacity planning. Integrate services with Microsoft Entra ID, Active Directory, SSO, MFA, Microsoft 365, room technologies, and approved enterprise platforms. Build and maintain automation for deployment, configuration management, repor

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

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. The Solution Lifecycle team is looking for a curious, growth-minded Senior Software Engineer II to work on building the next generation of our platform while tackling meaningful distributed systems challenges alongside a talented engineering team. You will collaborate closely with product managers and fellow engineers through code reviews and architectural discussions, and you will have the opportunity to mentor other engineers. You will also work on the core infrastructure of Smartsheet, focusing on the reliability, stability, and scale of our foundational systems. This role is a great fit for someone with a strong background of hands-on development, experience in working on Infrastructure as Code (IaC) and has solid technical leadership experience. This team practices mob programming for the majority of the workday. We operate through collective code ownership, meaning you'll be collaborating in real-time with teammates most of the time—not working solo on isolated tasks. We focus on building high-quality software while adhering to rigorous operational best practices. If you are passionate about continuous learning and ready to dive into the core foundation of our platform, we want to hear from you. You Will: Build Next-Generation Backend Services: Design and build scalable back-end services for Smartsheet's next-generation applications, solving complex distributed systems challenges while partnering closely with product management and other key stakeholders. Contribute to Core Infrastructure: Help build and maintain t

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t