DevOps Engineer

Posted on
github
Type
FULLTIME
Company
kognition
Published
Updated
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Job Title: DevOps Engineer

Company: Kognition AI

Dept./Group: Engineering

Employment Terms: Contract to hire (3-6 months) for Full-Time

Position reports to: Chief Technology Officer

Number of Direct Reports: 0-3

Compensation: Market salary rate + equity incentives + full benefits upon hiring

Position Summary (Purpose of job):
Kognition is an enterprise AI software company that develops an interoperability infrastructure for smart buildings and smart cities. Kognition’s AI-powered policy engine automates complex business operations in real-time. We are looking for a full stack senior software engineer to join our dynamic and rapidly growing R&D team. We look at software development as a craft that requires deliberate practice, curiosity, and passion. If you work hard, have an innovative mindset, and love building great software, we should talk!
As a DevOps Engineer, you will be a key part of our research and development and operations team that builds and operates our core products. You will design, develop, deploy, document, test, and debug our on-prem and cloud Kubernetes infrastructure. You will work as part of a high-powered team, in an agile fashion, towards an end goal of making the world smarter, safer and more secure.
Key Responsibilities:

Analyze, design, and plan complex software solutions – – 20%
Lead programming effort – – 40%
Performs complex bug verification, testing, and program support for various products – – 30%
Provide technical assistance, mentorship and guidance to junior software developers – – 10%

Minimum Job Qualifications:

Education/Training: Bachelors or Masters degree; Computer Science, Engineering, Management Information Systems, or related

Business Experience:

5+ years experience in IT operations, software engineering

Critical Skills:

Strong application design skills and understanding of AWS cloud services and Kubernetes
Thorough understanding and experience working with scripts and scripting languages (e.g. Bash, Python)
Experience working with containers and container orchestration systems and specifically Kubernetes.
Experience writing and deploying Helm charts on Kubernetes
Experience developing highly available, highly scalable web applications
Experience with real-time pub/sub, flow, and streaming frameworks (e.g. Kafka, NiFi)
Experience with NoSQL databases (e.g. MongoDB, Cassandra, CouchDB) and replication
Experience working with various testing methodologies, including test-driven development (TDD), behavior-driven development (BDD), and unit testing
Experience with performance- monitoring and tuning of complex applications
Experience deploying, managing, and configuring applications both on-prem and in-cloud (AWS, Google Cloud, Azure)
Solid understanding of the Software Development Life Cycle in Agile environment (e.g. Kanban, Scrum)

Desired Skills:

Experience with machine vision (i.e. openCV)
Experience with web based video processing, video analytics, media compression and encoding (i.e. Gstreamer, ffmpeg)
Experience working with deep net frameworks (e.g. Tensorflow, Torch, mxnet, gluon)
Experience working with native code in non-native languages (e.g. JNA, JNI, DllImport)
Security industry experience

Additional Specialized Knowledge/Skills:

Passion for cutting-edge software design and development
Highly motivated and self-directed
Excellent written and oral communication skills
Keen attention to detail
Proven analytical, evaluative, and problem-solving abilities
Ability to effectively prioritize and execute tasks in a high-pressure environment
Exceptional customer service orientation
Extensive experience working in a team-oriented, collaborative environment
Willingness to mentor and train junior developers
Willingness to support resolution of escalated technical support issues
Willingness to travel to client locations is preferred

Work Location During Pandemic:

Fully remote

Post-Pandemic Location:

Position will be located in our Philadelphia, PA office after the pandemic is over
WFH flexibility with a focus on in-office availability (post-pandemic)
General Office- travel less than 10%.

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