Senior Software Developer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $125k - $150k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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Mindbridge

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2004

🤝 B2B

💼 Consulting

🏢 Enterprise

B2B • Consulting • Enterprise

Mindbridge is one of the fastest-growing business process outsourcing (BPO) companies, providing end-to-end customer experience and back-office services that combine automation, analytics and human teams. They offer omnichannel CX management (chat, voice, email), 24/7 multilingual support, B2B sales, content moderation, creative design and animation, financial & accounting services including KYC and screening, document digitization, market surveys and analytics. Mindbridge serves tech and disruptive companies across fintech, telecom, ride-hailing, food delivery, social media and startups, operating in 25+ languages across EU, MENA, APAC and North America and handling large daily volumes (60k+ emails, 25k+ chats, 110k+ calls, 20k+ surveys).

📋 Description

• Own technical delivery and subsystem-level design for initiatives spanning services, data pipelines, APIs, analytical workloads, AI/agent services, and cloud infrastructure • Help shape standards and technical decisions affecting multiple teams within broader architectural strategy • Decompose requirements, drive design and implementation, mentor engineers, and improve production operations • Partner with Product, Data Science, UX/Design, Security, Infrastructure, Implementation/Professional Services, Customer Success, and other customer-facing teams • Lead technical design and delivery of large, cross-functional initiatives • Design and evolve scalable, secure, maintainable systems for high-volume financial data ingestion and analysis, workflow orchestration, AI/agent capabilities, and enterprise integrations • Build and extend platform capabilities supporting AI/agent configuration, insight generation, explanation agents, and orchestration patterns • Identify technical risks, bottlenecks, reliability gaps, and architectural opportunities; recommend improvements • Contribute hands-on through design, code review, critical-path development, debugging, and production readiness • Improve engineering excellence through design reviews, coding standards, documentation, testing, observability, incident response, and operational discipline • Work through production incidents, root cause analysis, remediation, and long-term reliability improvements • Evaluate technologies and practices that improve product quality, analytical performance, developer productivity, and operational resilience • Contribute to platform standards for API design, data modeling, asynchronous processing, CI/CD, security, and observability

🎯 Requirements

• 5+ years of professional software engineering experience • Significant experience building and operating enterprise SaaS, data-intensive, or large-scale distributed systems • Experience implementing ambiguous team initiatives, influencing without formal authority, and owning outcomes across multiple subsystems or architectural layers • Strong experience designing secure, reliable, multi-tenant SaaS systems with attention to data isolation, access control, auditability, scalability, and operational supportability • Hands-on experience with data-intensive systems, including ingestion pipelines, ETL/ELT, batch or streaming processing, analytical workflows, data validation, and warehouse/lakehouse integrations • Strong fundamentals in API design, service integration, data modeling, performance optimization, asynchronous processing, and distributed systems trade-offs • Working knowledge of production AI/ML systems, prompt orchestration, RAG, or agent workflow patterns • Experience with relational and/or analytical database technologies • Working knowledge of cloud-native engineering practices, cloud platforms, containerized workloads, CI/CD, infrastructure automation, observability, and production operations • Ability to collaborate effectively with Product, Data Science, UX/Design, Security, Infrastructure, Customer Success, and other stakeholders • Strong written and verbal communication skills • Experience working in Agile, cross-functional engineering environments • Must fulfill requirements necessary to obtain and clear a full background check • Preferred: experience in fintech, audit, accounting, risk, compliance, or regulated/high-trust enterprise environments • Preferred: proficiency with Java/Spring Boot, Python, or comparable backend/data engineering frameworks • Preferred: experience with Azure, Microsoft Data Factory, Microsoft Fabric, Power BI, Databricks, Snowflake, lakehouse architectures, Apache Iceberg, Delta Lake, Infrastructure as Code, Kubernetes, observability platforms, SRE practices, incident management, React, customer-facing APIs, SDKs, developer tooling, or enterprise integration platforms

🏖️ Benefits

• May be eligible for bonus awards