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Join us in shaping the future of work through AI.About The TeamThe AI and ML Infrastructure team is part of Slack’s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration.AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack.

[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Mid-Senior level] At Squarespace, we empower millions of creators—from artists to entrepreneurs—to build a brand and transact with their customers in an impactful and beautiful online presence. automated testing, code reviews, and writing beautiful, readable code).Who We're Looking For3+ years of development experience in Java, Python, Go or another Object-oriented language.

The ideal candidate will have a minimum of10 years of experience in RPGdevelopment, along with expertise in theVAI System 2000platform, database administration, and reporting/analytics. Experience with VAI Warehouse Management Systems and analytics reporting is a plus.

[Applicants: Be among the first 25 applicants | Industry: Banking | Type: Full-time | Level: Mid-Senior level] Requisition ID: 250017Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.The RoleThis role will be within the Scotiabank Global Credit Cards team, working with Credit Cards and Unsecure lending team who provide core banking capabilities, API & Event Enablement, Leadership in Delivery, supporting Canadian Banking Regulatory and Compliance initiatives, performing development, design and deployment.Reporting to the Senior Manager Development, the Mainframe COBOL Developer will lead multiple development projects and be responsible for supporting application solutions for multiple Canadian business lines. If you require technical assistance, please click here.

[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Mid-Senior level] About The JobAlignerrconnects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.PositionSenior Rust Full-Stack Engineer — AI Data & InfrastructureType:Contract, RemoteCommitment:20–40 hours/weekCompensation:Competitive, hourly (based on experience)Role ResponsibilitiesDesign, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlImprove reliability, performance, and safety across existing Rust codebasesCollaborate with data, research, and engineering teams to support model training and evaluation workflowsIdentify bottlenecks and edge cases in data and system behavior, and implement scalable fixesParticipate in synchronous reviews to iterate on system design and implementation decisionsQualificationsMust-HaveNative or fluent English speaker3-5+ years of professional experience writing production Rust.Strong command of Rust lifetimes, ownership mechanics, and idiomatic error handling patterns to ensure pipeline reliability.Experience building I/O-bound data pipelines and implementing robust retry/backoff logic for production systems.Clear written and verbal communication skills.Ability to commit 20–40 hours per week.PreferredPrior experience with data annotation, data quality, or evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with distributed systems or developer toolingApplication ProcessSubmit your resumeComplete a short technical screeningProject matching and onboarding

[Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] What You’ll DoDesign, implement, test, and operate production systems in a complex trading environment.Own the correctness, reliability, and operability of the features you build.Actively surface and resolve ambiguity in requirements, product logic, and system behavior.Write clear, maintainable code with a strong bias toward simplicity and correctness.Participate in incident response and follow through with durable fixes and improvements.Collaborate closely with peers through code reviews, design discussions, and shared problem-solving.What We’re Looking ForStrong engineering fundamentals and sound judgment in complex systems.A demonstrated bias toward correctness, reliability, and production ownership.Comfort reasoning about non-trivial business logic, stateful systems, and edge cases.Consistent self-directed productivity in ambiguous or loosely scoped work.Clear, collaborative communication and a strong team-oriented mindset.Nice to HaveExperience with trading systems, exchanges, or other high-stakes domains.Production experience with Go (Golang) or performance-sensitive backend systems.Prior ownership of services in production, including on-call or incident response.This Role Is Not a Fit IfYou prefer narrowly scoped tasks with fully specified requirements.You avoid production ownership or incident responsibility.You optimize primarily for speed or novelty over correctness and clarity.You are uncomfortable working in systems with significant complexity and real-world consequences.

[Applicants: Over 200 applicants | Industry: Software Development | Type: Full-time | Level: Mid-Senior level] About Glover LabsGlover Labs is building the infrastructure layer for enterprise legacy modernization. You'll work across our agent coordination layer, backend infrastructure, and integration surfaces — designing the systems that orchestrate AI agents, manage living documentation, and connect to enterprise codebases and workflows.This is a high-ownership role for someone who thinks in terms of what AI-native systems make possible, not just what traditional software can do.

[Industry: Technology, Information and Internet, Software Development, and Technology, Information and Media | Type: Full-time | Level: Mid-Senior level] DescriptionWe are looking for a Frontend Engineer with strong expertise in React.js, HTML5, CSS3, and JavaScript to join our team. In this role, you will collaborate closely with designers and backend developers to translate design concepts into responsive, high-quality user interfaces and contribute to enhancing the overall user experience.

[Applicants: Be among the first 25 applicants | Industry: Technology, Information and Internet | Type: Contract | Level: Mid-Senior level] About The JobAlignerrconnects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.PositionSenior Rust Full-Stack Engineer — AI Data & InfrastructureType:Contract, RemoteCommitment:20–40 hours/weekCompensation:Competitive, hourly (based on experience)Role ResponsibilitiesDesign, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflowsDevelop full-stack tooling and backend services for large-scale data annotation, validation, and quality controlImprove reliability, performance, and safety across existing Rust codebasesCollaborate with data, research, and engineering teams to support model training and evaluation workflowsIdentify bottlenecks and edge cases in data and system behavior, and implement scalable fixesParticipate in synchronous reviews to iterate on system design and implementation decisionsQualificationsMust-HaveNative or fluent English speaker3-5+ years of professional experience writing production Rust.Strong command of Rust lifetimes, ownership mechanics, and idiomatic error handling patterns to ensure pipeline reliability.Experience building I/O-bound data pipelines and implementing robust retry/backoff logic for production systems.Clear written and verbal communication skills.Ability to commit 20–40 hours per week.PreferredPrior experience with data annotation, data quality, or evaluation systemsFamiliarity with AI/ML workflows, model training, or benchmarking pipelinesExperience with distributed systems or developer toolingApplication ProcessSubmit your resumeComplete a short technical screeningProject matching and onboarding

The ideal candidate will possess deep experience in software engineering, securities processing, financial services, and AI-based development, and will be actively involved in designing, developing, and delivering technology solutions while also providing vision and direction for the team. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments.

Our applications deliver strategic technology vision, technical expertise, implementation and support services. Leverage modern technologies to address business needs.Translate banking business requirements into technical solutions.