Senior Software Architect Jobs

About the Role: The team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to user acquisition and growth, including but not limited to user registration, onboarding, SEO, and account management. As part of this team, you will work closely with Product and Design to develop cutting-edge, experiment-driven features that enhance the user experience. In addition to front-end development, you’ll be responsible for building the underlying technical architecture to ensure performance and scalability, while proactively exploring engineering-driven features and experiments that can drive user growth. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Work with product management and other stakeholders (Backend, Product, and UI/UX) to iterate on new growth-related features, including registration, onboarding, and SEO. Lead the technical architecture and implementation of scalable and resilient applications that run on multiple platforms, such as web, mobile web, and smart TV devices. Lead and drive innovation in building experiment-driven features that push the boundaries of user experience in streaming. Consistently ship features and improvements across Web and OTT apps with minimal guidance, collaborating with cross-functional teams to deliver high-impact updates. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure. Take ownership of the codebase and proactively identify opportunities for refactoring and development process improvement. Mentor and collaborate with fellow engineers, sharing technical expertise and contributi

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Senior Software Engineer - Risk Location: Bengaluru (Onsite) Impact You’ll architect and build the next-generation risk solutions for FalconX and its clients. FalconX is the institutional gateway to digital asset markets. FalconX processes more than $1T+ in trading volume across spot and derivative instruments, has financed $2.5B+ in loan originations and is the 1st CFTC-registered swap dealer focused on cryptocurrency derivatives. You will evolve FalconX’s risk technology to be best-in-class. You will work on cutting-edge technology with the right balance of speed, accuracy and reliability. Well-reputed financial institutions and crypto firms will trust and rely on your solutions for their day-to-day work. You will help unlock increased business potential and opportunities for FalconX and our clients. Responsibilities Develop, maintain and enhance FalconX’s proprietary risk management tools, infrastructure, risk data, and processes. Architect and build scalable, robust, performant risk solutions for institutional customers and internal teams. Work closely with multiple members of the risk team to develop, maintain and improve the risk management stack. Coach and mentor teammates on supporting and maintaining FalconX’s risk solutions. Requirements Degree in Compu

*Max Notice period: 30 Days **Work Location: Bengaluru or Chennai 8+ years of demonstrated experience in implementation, support, or upgrade of Oracle HCM suite of products with at-least 3 years Implementation, support or upgrade experience on Oracle SaaS HCM Products – Core HR, Absence, Payroll, Workforce Compensation, Learning, Recruitment, Talent Management and knowledge on Oracle Integration Cloud. Hands-on Configuration experience on: HCM Extracts, HCM Data Loader (HDL), Payroll Batch Loader (PBL), Workflow, BI Publisher, Fast Formula, Personalization and PL/SQL Should have good knowledge on Fusion Cloud architecture, setup manager and activities. Has hands-on functional/product and technical experience; and worked with L1/L2/L3 level support; and/or equivalent knowledge. Ability to relate the product functionality to business processes, and thus offer implementation advice to business stakeholders on how to meet their various business scenarios. Should have the ability to read and decipher software Log and Trace files, as well as act upon the finding to determine a problem resolution. Work with users to trouble shoot and resolve issues, answers business questions, provides data analysis. Should be able to understand business process flow and perform functional testing as per business requirement with appropriate test scripts. Conduct training and knowledge sessions. Knowledge of external data integration services to load data into Oracle Fusion Applications from external sources, such as legacy systems and third-party applications or EPM Suite of applications. Should have knowledge of localizations. Knowledge on Security setup. Experience in one of the following areas is seen as an advantage: XML, Java, J2EE and Oracle ADF and/or SOA and Web Services Other: Exhibit effective analytical skills & organizational skills Good command over spoken & written English Interact directly with business users and follows through on all assignments and takes ow

*Max notice period - 30 Days Technical Skills: Customize and extend Oracle Fusion modules. Experience on development of SaaS extensions using Oracle Visual Builder Cloud Service (VBCS) or Application Composer, Process Cloud Service (PCS) Knowledge on Oracle Financial Modules AP, GL- Familiar with tables, API's and interfaces. Should have expertise in Oracle Fusion Cloud tools such as FBDI, ADFdi, Application Security, Workflows, BPM Workflows, Page Customizations & Extensions, FSR, BI Publisher, OTBI, Alerts etc. Understanding of REST services Understanding on Oracle Cloud Infrastructure, Architecture and Network Topology Understand how to integrate multiple systems with Oracle Fusion using various integration patterns and technologies and OIC Basic skills in Shell scripting Additional knowledge on APEX. Expertise in SQL, PLSQL, Oracle Reports, WEBADI, Oracle Workflow, XML Publisher, and Oracle Application Framework. Expertise in Oracle Forms would be an added advantage Expertise in Github, CICD, Automation Testing would be an added advantage Good debugging skills using above mentioned technical tools. Should have experience in development/support/implementation of CEMLIs. Functional Skills Should have understanding of high-level functionalities of following modules General Ledger Payables Assets Expenses Procurement 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.

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Location- Chennai Team: Engineering Enablement Group As a Senior Software Engineer in our Engineering Enablement Group, you will lead the re-design and evolution of our Mobile Branding framework — the system that enables customers to create custom-branded versions of the Appian mobile application for both iOS and Android. You will drive the architectural modernization of the end-to-end branding pipeline, from the customer-facing Forum application and provisioning tools to the backend build service running on Mac EC2 runners in AWS. By leveraging modern microservices, CI/CD automation, and cloud-native infrastructure, you will transform the current system into a more reliable, scalable, and maintainable platform that reduces manual intervention and accelerates customer delivery. We are looking for a technical leader who can bridge the gap between complex Ruby/Bash-based tooling, Appian process models, and AWS infrastructure to deliver a seamless mobile branding experience. Primary Qualifications: 6-9 Strong working experience with Android and iOS frameworks and mobile application development workflows. Familiarity with mobile build systems (Fastlane, Xcode, Gradle) and code-signing workflows. Experience with proficiency in Python, with experience in Ruby, Bash, or Go being a plus. Advanced experience with AWS infrastructure (S3, Lambda, EC2) and CI/CD pipeline design. Strong end-to-end knowledge of pipeline creation, deployment automation, and infrastructure-as-code (Terraform). Familiarity with monitoring, observability, and performanc

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Software Engineer (Senior) – Platform Engineering & AI-Powered Process Automation Location: Chennai, India | Work Model: On-site Architect the foundational systems powering the next generation of global software execution. In this role, you will build high-performance, reusable platform services and modern developer tooling that directly elevate developer velocity and scale enterprise software globally. About the Team The Platform Engineering, Foundations & Enablement team builds the bedrock of Appian’s technical ecosystem. By delivering resilient shared services, automated developer tooling, and core frameworks, this team enables engineering organizations to build scalable enterprise solutions and accelerates Appian’s growth in the AI-Powered Process Automation market. The Opportunity Top-tier engineers join Appian to tackle deep distributed systems challenges at massive enterprise scale. This role gives you direct ownership over the core platform architecture and internal developer tools that power critical workflows worldwide. If you want to eliminate engineering friction, set architecture standards, and shape high-concurrency systems using cutting-edge enterprise tech, this opportunity offers high visibility and immediate technical influence. What You’ll Do Architect and construct high-performance, resilient platform features, robust APIs , and shared frameworks to power mission-critical operations. Execute technical spikes to clear architectural runways, ensuring system stability, modularity, and seamless long-term scalability. Elevate engine

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support the software build and release process Deploy and maintain services with Kub

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

About the job Build the debugger that helps developers unlock more from Graphcore AI processors. As a Senior Software Engineer in our Debugger team, you will help define and implement Graphcore’s next-generation debugging capability. Your work will support developers building and optimising workloads on our advanced AI processors. You will adapt and expand debugger functionality, resolving complex issues across software and hardware boundaries. The tools you build will help internal and external users understand behaviour, improve performance and move faster. You will work closely with software, firmware, hardware, partner and customer teams. This role offers rare depth across processor architecture, toolchains and real developer workflows. The team and culture Work happens close to the technology, with engineers expected to investigate deeply, speak up and take ownership. The team uses Agile ways of working to keep progress visible and decisions moving. You will collaborate across software, firmware and hardware teams to identify debug feature opportunities. Decisions are shaped by technical evidence, user needs and the judgement of engineers closest to the problem. What we’re looking for · Experience using debuggers to resolve complex program issues. · Strong low-level programming skills in C, C++ or Rust. · Strong understanding of processor architectures. · Ability to communicate clearly across software, firmware and hardware teams. · A proactive, self-driven approach to improving product quality and functionality. · Familiarity with compiler toolchains, debugging protocols, Python, IDE development or PyTorch. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Generous leave: Take time to rest, recharge and enjoy

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte