Backend Engineer

• Designing and building the core infrastructure that connects services across Canva's backend engineering org
• Leading a major migration of how our backend services communicate, working closely with partner engineering teams & leaders
• Driving support for more languages and frameworks so more teams can build natively on our platform
• Owning the reliability, performance and correctness of systems that sit in the critical path for the whole engineering org
• Mentoring engineers and helping raise the technical bar across the team

Staff Software Engineer – API Platform

• support the development of real-time perception capabilities for Shield AI's autonomous systems.
• designing, developing, and integrating advanced computer vision algorithms into high-performance C++ software pipelines.
• focus on building custom perception capabilities from the ground up, with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
• increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.
• translate research concepts into deployable software and work on bespoke algorithms rather than relying only on existing libraries.
• support the development of geometry-based computer vision pipelines, including applications such as camera modelling, intrinsic and extrinsic calibration, image-to-world projection, geolocation from imagery, visual registration, and multi-sensor spatial alignment.
• familiarity with photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and deployment of geometry algorithms into real-time C++ systems.

Staff Engineer, Computer Vision, C++

• Support the development of real-time perception capabilities for Shield AI's autonomous systems.
• Design, develop, and integrate advanced computer vision algorithms into high-performance C++ software pipelines.
• Build custom perception capabilities from the ground up with an emphasis on real-time performance, reliability, and deployment in edge compute environments.
• Increase the team's capacity and technical depth in real-time computer vision, image processing, and applied machine learning.
• Translate research concepts into deployable software, comfortable working on bespoke algorithms rather than relying only on existing libraries.
• Develop tracking and spatial perception pipelines for applications such as visual localization, motion estimation, scene reconstruction, landmark tracking, map building, and perception-assisted navigation.

Senior Staff Engineer, Computer Vision, C++

• Support the development of real-time perception capabilities for Shield AI's autonomous systems.
• Design, develop, and integrate advanced computer vision algorithms into high-performance C++ software pipelines.
• Build custom perception capabilities from the ground up, focusing on real-time performance, reliability, and deployment in edge compute environments.
• Translate research concepts into deployable software while working on bespoke algorithms.
• Support the development and integration of learned perception models into real-time computer vision pipelines.
• Improve model performance across varied conditions and work with datasets to enhance robustness.

Senior Engineer, Computer Vision, C++

• - Leading the successful delivery of technology projects within large enterprise customers.
• - Building strong relationships with business and technology stakeholders at all levels.
• - Managing and ownership of project outcomes, delivery risks, priorities and client expectations.
• - Providing leadership, coaching and mentoring to consultants and development teams.
• - Working hands-on across the Microsoft technology stack, contributing to solution design and development.
• - Collaborating with clients to understand business challenges and shape technology solutions.
• - Driving best practices across architecture, engineering, delivery and quality assurance.
• - Supporting pre-sales, solution shaping and technical leadership activities where required.

Lead Consultant – .NET, Cloud

• Build backend services, APIs and workflows for the AI Neobank app.
• Support products across insurance, payments, wallet, savings, investing, travel and financial services.
• Design reliable systems for user accounts, transactions, partner integrations, reconciliation, notifications and operations.
• Work with product and mobile teams to ship customer-facing journeys quickly.
• Integrate with banks, payment gateways, insurers, data providers and other partners.
• Improve system reliability, observability, security and performance.
• Build systems that are practical, auditable and ready for regulated financial products.

Backend Software Engineer – AI Neobank App

• Build backend services and APIs for onboarding, accounts, payments, cards, transfers, rewards, travel, FX, KYC and risk flows.
• Design reliable systems that can support real customer transactions, operational workflows and future financial products.
• Integrate with internal systems, financial partners, payment providers, AI services and third-party platforms.
• Own backend quality across reliability, security, latency, observability, data integrity and incident handling.
• Work with product, frontend, mobile and AI teams to launch features quickly and safely.
• Improve existing systems by simplifying flows, removing manual work and automating repeatable processes.

Backend Developer

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload
• Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements
• Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
• Provide guidance on how to resolve customer-specific technical challenges
• Support other members of the Services Delivery team develop their expertise
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Technical Architect, AI/ML

Technical Architect – AI/ML

• A D365 F&O Technical Architect is responsible for designing, developing, and implementing technical solutions within D365 F&O platform
• Act as a key technical leader in defining overall architecture and ensuring efficient, scalable, and customized solutions for complex business processes
• Leverage deep understanding of the platform's capabilities and best practices to guide development teams and deliver successful implementations
• Define technical architecture for D365 F&O implementations, including data integration, system integrations, and application development strategies
• Analyze business requirements and translate them into technical specifications for development teams
• Evaluate and recommend appropriate development tools, frameworks, and technologies within the D365 F&O ecosystem
• Lead the development of custom solutions, extensions, and integrations within the D365 F&O platform, including X++ coding, workflows, and data entities
• Ensure code quality and adherence to best practices for maintainability and performance optimization
• Review and guide development activities to ensure alignment with technical architecture and project goals
• Design and implement integrations between D365 F&O and other systems using APIs, data connectors, and integration tools
• Manage data mapping and transformation processes to ensure data integrity across systems
• Identify and address performance bottlenecks in D365 F&O systems through code optimization, database tuning, and system configuration adjustments
• Monitor system performance and implement necessary performance improvements
• Provide technical guidance and mentorship to development teams, ensuring they understand the D365 F&O platform capabilities and best practices
• Collaborate with functional consultants to bridge the gap between business requirements and technical implementation

ERP Technical Architect

• Build backend services, APIs and workflows for the finance super app.
• Support products across insurance, payments, wallet, savings, investing, travel and financial services.
• Design reliable systems for user accounts, transactions, partner integrations, reconciliation, notifications and operations.
• Work with product and mobile teams to ship customer-facing journeys quickly.
• Integrate with banks, payment gateways, insurers, data providers and other partners.
• Improve system reliability, observability, security and performance.
• Build systems that are practical, auditable and ready for regulated financial products.

Backend Software Engineer – Finance Super App

• Design, develop, and maintain automated solutions supporting database operations including provisioning, deployment, monitoring, and maintenance
• Administer Microsoft SQL Server environments to ensure availability, performance, security, and integrity of enterprise data platforms
• Monitor and optimise database performance through query tuning, indexing strategies, and capacity planning
• Implement automation within CI/CD pipelines to enable consistent and repeatable database deployments
• Collaborate across engineering, data, and infrastructure teams to deliver integrated, reliable, and secure database solutions

Database Engineer – Microsoft SQL

• Design, build and operate large-scale search across front end and back end, in a stack of React, TypeScript, Golang, PostgreSQL and OpenSearch running on AWS.
• Own the search relevance and retrieval-quality. Define how relevance is measured, then drive it up through ranking, query pipelines, and tuning.
• Lead search architecture: indexing strategy, hybrid retrieval (combining lexical text search with semantic/vector search), embeddings, and ranking, including the trade-offs each involves.
• Build AI-native applications, connecting retrieval to LLM-powered experiences (e.g. RAG), and stay at the bleeding edge of agentic coding tools.
• Provide technical leadership guiding search architecture, execution, and cross-functional collaboration to deliver impactful outcomes.
• Own search feature delivery end-to-end: breaking down requirements with stakeholders, partnering with Product and Design, supporting other engineers, and ensuring successful delivery.
• Articulate effort-vs-impact trade-offs, including build-vs-buy decisions.
• Keep search operable at scale, performance, observability, and cost as data volume grows.
• Drive high-performance team outcomes by setting rigorous engineering standards, mentoring peers, and improving team practices for quality, velocity, and collaboration.
• Demonstrate SafetyCulture's values (Think Customer; Open, Honest, Always; Better as a Team; Be Bold, Bring Action).

Senior/Staff Backend Engineer – Search

• Support Red Hat's customers on various network related issues for Red Hat Enterprise Linux (RHEL) and products on hybrid cloud solutions
• Diagnose and troubleshoot complex technical problems across different components like Packet loss, bonding and teaming, IPv4 and IPv6, Control Groups, firewall (iptables)
• Build on expertise by going through intensive onboarding, including Red Hat Enterprise Linux (RHEL) Certifications
• Constantly work on skills to keep up with technology trends and new products and features in Red Hat's portfolio
• Consult customer cases with in-house support engineers and developers to promote creative solutions
• Contribute to the global Red Hat knowledge management system
• Collaborate with colleagues on side projects and contribute to the success of the global team
• Manage workload to ensure all customer issues are handled and managed to resolution

Software Maintenance Engineer – Technical Support, Linux, Kubernetes, Mandarin

• Serve as the primary pre-sales technical leader and subject matter expert, guiding technical relationships between clients, sales teams, and core Product/Engineering teams
• Lead deep-dive discovery and scoping sessions to assess client needs; create detailed technical design specifications and build rapid-prototype mini-applications to demonstrate platform feasibility
• Design, configure, and deliver high-impact platform demonstrations that seamlessly articulate complex technical workflows into clear business narratives for executive stakeholders
• Scope, configure, and lead customers through rigorous Proof of Value (PoV) trials with minimal supervision, meticulously managing evaluations against defined success metrics
• Provide advanced guidance on Zendesk’s platform architecture, integration capabilities (APIs, webhooks), and cloud ecosystem patterns (AWS and cloud technologies)
• Act as a trusted advisor to evaluate existing customer service operations and advise clients on generative AI best practices to optimize efficiency, scale, and long-term customer satisfaction
• Translate validated technical solution scoping, dependencies, and architecture requirements directly into Statements of Work (SOW), ensuring a flawless handover to Post-Sales Implementation teams.

Platform Architect

• You will need a real commitment to working with customers and product people to deliver well engineered solutions that you are proud of, which are a joy to inherit, maintain and extend.
• This role requires strong engineering skills, the discipline to think critically and independently, with a willingness to engage in new ideas and unfamiliar technical challenges.
• You will also need to be able to discuss system and software design reasoning with an open mind, based on customer and product considerations.
• You'll be joining a team of experienced engineers and will find the conversations you have are underpinned by deep levels of technical knowledge, curiosity and a satisfaction of learning from similar minds.
• You will also enjoy the company of a strong product team and together you will discover and unpack the needs, goals and frustrations of our customers in order to deliver high quality and valuable solutions that we are proud of and they love to use.
• You’re empowered not only to step up to lead, but to also step up to follow: You won’t be forced to accept things the way they are, but you will need the insight and maturity to determine when best to have backbone, or when to disagree and commit with the team.
• Hiring is also a collective decision by the people you talk to in the process.

Senior Back End Software Development Engineer

• Articulate the benefits of a GitLab DevSecOps transformation project to prospective clients, working directly with Engagement Managers and the sales team
• Provide support to PS Engagement Managers during the scoping and creation of the customer statement of work (SOW)
• Lead technical discovery sessions with customers, partners and GitLab PSEs to understand their business goals, technical constraints and requirements
• Provide technical expertise and consultative advice during the planning stages of a customer engagement
• Own the design, development, implementation, and support of GitLab-related Professional Services engagements
• Coordinate and oversee functional implementation activities for internal and partner consultants, developers, and customer points of contact (POC) on large-scale enterprise projects
• Provide technical leadership to the Professional Service Engineering team during the delivery of services engagements
• Ensure that the deliverable accurately meets the defined expectations of the customer, ensuring that proper testing is implemented and performance requirements are closely monitored by working with the customer
• Work closely with the customer project team (specifically the Project Manager) to ensure accurate task-level articulation of the work required
• Mentor PS and partner consultants to provide guidance regarding ‘Best Practices,’ communication, and implementation strategies; provide input to PS training materials and presentations and other collateral in the form of documentation and delivery kits
• Develop case studies, presentations, design documentation, best-practice methodologies and internal process development
• Liaise with and support other functional groups within GitLab – including (but not limited to) training, development, support, product, engineering
• Stay up to date on new features, and fixes within the monthly GitLab product releases and disseminate key information to the PSE team
• Hold enablement sessions for PS or other team members to learn how to use or how to sell particular service offerings
• Assist Regional Delivery Managers with Technical Vetting of Partner Consultants, New hire candidates, SOW staffing assessments

Technical Architect

• Work collaboratively with a team of highly experienced developers from around the world.
• Manage engineering team and spend time on actual coding.
• Apply new concepts quickly to C++ code, design, and algorithms.

Lead C++ Software Engineer

• Design and deliver cloud-native solutions on AWS
• Lead the transformation of legacy systems to modern architecture
• Collaborate with engineering teams to ensure high-quality software delivery
• Set technical direction and uplift engineering standards across the chapter

Staff Software Engineer – Full Stack, Typescript, Next.js, Node.js, GraphQL API

• Design, build, and maintain core services that consume and orchestrate AI-based integrations.
• Develop scalable, reliable, and secure systems to support automation and generative AI workflows.
• Collaborate closely with teams developing services to ensure smooth integration and performance.
• Solve complex engineering problems around AI reliability, context management, and data flow.
• Prototype and optimise AI-driven features that work within known limitations of generative models.
• Participate in architectural planning, service design, and API definition.
• Continuously improve system robustness, observability, and developer experience.

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