Founded in 2003, Mariner has a team of over 200 people serving our clients across four business lines. We believe in technologies that make working lives smarter and easier. For more than fifteen years, we have delivered solutions that help telecom operations people make better decisions. We firmly believe analytics and automation should be used in a positive, human-centered way; empowering knowledge workers to achieve higher-value outcomes in their working lives, while helping service providers compete on the global stage.
We are the largest privately held consultancy in Atlantic Canada, Mariner has one of the deepest pools of IT, Cybersecurity, Change Management, and technical expertise in Atlantic Canada, serving clients across the public sector, utilities, healthcare, financial, and ICT industries.
We are seeking full stack software developers/engineers with a strong interest in machine learning, artificial intelligence, and data analytics platforms. The ideal candidate is not only interested in building great software that can make people’s lives better, but is also excited about DevOps tools to improve/automate the software build process.
Using common open source and commercial technologies, you will design, develop, and support automation solutions for a suite of Mariner’s products and services.
Utilize automated CI/CD deployment and DevOps tools.
Strive to deliver high-quality, bug-free software.
Maintain tidy source-control and documentation practices for your work.
Embrace Agile philosophy; you will attend and actively participate in regular team scrums and sprint review/planning activities.
Bachelor’s Degree in Computer Science/Engineering.
Minimum 3 years’ experience as Software Developer.
Experience with Machine Learning processes and technologies (e.g. Tensorflow, SciKit, Pytorch)
Experience developing applications for a SaaS offering (on AWS, Azure, etc)
Advanced knowledge and experience in:Java, Python, SQL and Shell ScriptingJBOSS(Wildfly), HTML5 and Mobile development frameworksNoSQL database technologies (e.g. Cassandra, Redis)SQL database technologies (PostgreSQL, Oracle)Message processing (e.g. Kafka, ActiveMQ)Streaming technologies (e.g. Kafka Streams, Spark)Docker and Kubernetes container management and orchestrationConfiguration management (e.g. Helm, Ansible, YAML)Design and implementation of MicroservicesLinux
Knowledge of the following would be an asset:Commercial and opensource AIOPs platforms and tools (ELK, Splunk, NewRelic, Druid, etc.)Business Automation Platforms (jBPM, Camunda, etc)Business Rules Engine (e.g. Drools)