Jobgether
Manager, Software Development
- Compensation
- Not disclosed
- Location
- Canada
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- 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
- 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 result
- 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
- 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
- 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.
Full description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Software Development based in Canada.
Take the lead in building and scaling innovative software solutions that transform how organizations access, analyze, and act on media intelligence. In this role, you will manage a team of software developers while shaping the technical strategy for high-performance, data-intensive applications. You will oversee the development of reliable Java-based services, distributed data pipelines, and AI-powered applications, including production-grade agentic workflows. Working closely with Product, Customer Success, Sales, and other business stakeholders, you will translate customer needs into scalable technical solutions. You will champion engineering excellence, continuous improvement, and data-driven decision-making while ensuring system reliability and operational efficiency. This opportunity combines hands-on technical leadership with team development in a collaborative, fully remote environment focused on innovation and meaningful business impact.
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.