Manager, Software Development

Accountabilities • Lead and develop the engineering team: Manage, mentor, and support software developers by establishing clear goals, providing constructive feedback, encouraging professional growth, and fostering a culture of accountability, collaboration, and technical excellence.

• Define technical strategy and architecture: Establish the architectural direction for web crawling, data collection, ingestion, and mention-matching systems, ensuring solutions support evolving product requirements and business objectives.

• Build scalable distributed systems: Oversee the design, development, deployment, and maintenance of Java-based RESTful services and distributed data pipelines that process large volumes of information reliably in high-availability production environments.

• Drive AI and agentic workflow development: Lead the development of production-ready AI applications and agentic workflows, establishing evaluation frameworks and measurable criteria to assess the accuracy, effectiveness, and reliability of AI agents.

• Align engineering with business priorities: Collaborate with Product Owners and cross-functional partners to translate customer requirements, market opportunities, and business goals into a clear technical roadmap and actionable development priorities.

• Ensure system performance and reliability: Monitor scalability, availability, performance, and cost efficiency while overseeing incident response, on-call procedures, root-cause investigations, and corrective actions for production issues.

• Maintain technical involvement: Participate in architecture discussions, design reviews, code reviews, and hands-on troubleshooting to maintain high engineering standards and help resolve complex technical challenges.

• Improve development practices and tools: Evaluate and introduce new technologies, AI techniques, and engineering tools that improve team productivity, development quality, and operational efficiency.

• Measure and optimize performance: Use engineering metrics, system performance indicators, and delivery outcomes to guide decisions, identify improvement opportunities, and support continuous team development.

• Collaborate across the organization: Work closely with Product, Customer Success, Sales, Account Management, Content Partnerships, and leadership to ensure engineering initiatives deliver meaningful customer value.

Requirements

• Software development experience: At least seven years of professional software development experience, including hands-on work with web crawling, data ingestion, large-scale data pipelines, or similar data-intensive systems.

• Leadership experience: At least two years of experience managing or leading software development teams, with a demonstrated ability to support employee growth, establish priorities, and deliver results.

• Education: A bachelor's degree in Computer Science or a related discipline, or equivalent professional experience.

• Programming expertise: Strong technical proficiency in Java or a comparable type-safe programming language, with experience building and maintaining production-grade software services.

• Distributed systems: Experience designing and operating distributed architectures, including message queues, event-driven systems, or streaming technologies such as Kafka.

• Cloud and DevOps knowledge: Familiarity with cloud infrastructure platforms such as AWS, Google Cloud Platform, or Microsoft Azure, as well as containerization technologies like Docker and Kubernetes and modern CI/CD practices.

• Search and data technologies: Experience with search platforms such as Elasticsearch or Solr, Boolean query logic, large-scale data processing, and systems that collect, organize, or match information from multiple sources.

• API and integration experience: Familiarity with REST APIs, third-party data providers, and the technical considerations involved in integrating external data into production systems.

• AI and machine learning knowledge: Experience with natural language processing, large language models (LLMs), entity recognition, sentiment analysis, or AI evaluation methods is an advantage.

• Agile delivery practices: Experience working in Agile development environments and using project collaboration tools such as Jira and Confluence.

• Communication and collaboration: Excellent verbal and written communication skills, including the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.

• Analytical and data-driven mindset: Ability to use metrics and performance indicators to assess engineering outcomes, guide decisions, and identify opportunities for improvement.

• People-centered leadership: A leadership style that balances delivery expectations with team well-being, professional development, collaboration, and sustainable performance.

• Industry experience: Background in public relations technology, media intelligence, media monitoring, social listening, or news distribution is considered an asset.

• Continuous improvement: A proactive approach to exploring new technologies, refining engineering practices, and adapting to evolving business and technical requirements.

Benefits

• Competitive annual salary: CAD $145,000–$165,000, depending on experience, skills, and internal equity.

• Fully remote work: Flexibility to work remotely within Canada.

• Health coverage: Medical, dental, and vision benefits.

• Retirement savings: RRSP matching to support long-term financial planning.

• Financial protection: Life insurance coverage.

• Employee well-being: Access to an Employee Assistance Program (EAP).

• Paid time off: Paid vacation, personal days, and sick leave.

• Additional holiday break: A week off between Christmas and New Year's.

• Meeting-free Fridays: Dedicated time for focused work, productivity, and uninterrupted development.

• Collaborative culture: Access to tools and practices that support effective communication and teamwork in a remote environment.

• Professional growth: Career development and progression opportunities to expand your technical expertise and leadership capabilities.

• Innovation-focused environment: Opportunities to shape AI-powered applications, distributed systems, and modern media intelligence technology.

• Inclusive workplace: A commitment to creating a respectful, supportive environment that welcomes diverse backgrounds and perspectives.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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