Manager, Software Development

Jobgether; United States; Remote; USD 104,000 - 118,000; Full time

Benefits offered by this job

Health coverage

RRSP matching

Life insurance

Paid time off

Holiday break

Meeting-free Fridays

Collaborative culture

Professional growth

Innovation-focused environment

Inclusive workplace

Job summary

Jobgether is seeking an experienced engineering leader to guide a distributed team building scalable data platforms, web crawling, and AI workflows. You will translate product needs into a technical roadmap, mentor engineers, and drive high-quality software delivery in a fast-paced environment.

You will own architecture, ensure reliability, and collaborate with Product, Sales, and Customer Success to deliver value to customers while fostering a culture of learning and accountability.

Qualifications

• Seven+ years in software development with data-intensive systems.
• Two+ years leading software teams and mentoring engineers.
• Bachelor's degree in CS or equivalent experience.
• Strong Java or similar language production services experience.
• Experience with distributed architectures and event-driven tech.
• Cloud platforms and containerization experience; modern CI/CD.
• Familiarity with search technologies and data integration.
• Experience with Agile development and Jira/Confluence.

Responsibilities

• Lead and develop the engineering team with clear goals and feedback.
• Define technical strategy for web crawling, data ingestion and matching.
• Oversee Java-based REST services and large-scale data pipelines.
• Drive AI applications and agentic workflows with evaluation criteria.
• Translate customer needs into a technical roadmap with stakeholders.
• Monitor performance, availability, and cost; manage incidents.
• Participate in architecture reviews and code reviews to uphold standards.
• Evaluate new technologies to improve productivity and quality.
• Use metrics to guide decisions and drive continuous improvement.
• Collaborate with Product, Customer Success, Sales and leadership.

Skills

Leadership

Distributed systems

AI/ML knowledge

Communication

Analytics

People leadership

Agile

Collaboration

Data-driven decisions

Product alignment

Education

Bachelor's degree in CS or related field

Tools

Elasticsearch

Kafka

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

REST APIs

Job description

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.