Senior DevOps Engineer
Company Description
WhizAI is a rapidly growing startup at the forefront of the evolution of augmented analytics, empowering business users to interact with their data and drive better, smarter, and faster decisions. Our engineers and product development teams lead the industry in practical applications for guided and embedded analytics, natural language processing and generation, causal inference and artificial intelligence (AI), and machine learning (ML). But, it takes an entire team to transform an industry. Join us if you want to work hard, collaborate with super-smart people in an open culture, laugh a lot, and challenge yourself and learn new things!
Job Description
As Senior DevOps Engineer at WhizAI you will:
- Manage infrastructure in private and public clouds (AWS, Azure & GCP)
- Design, implement, and manage Jenkins CI/CD pipelines and data pipelines.
- Deploy & Monitor application on premise and in Customer data centres
- Integrate the WhizAI platform with external enterprise data sources like Databases, Data Warehouses, Analytical Stores, Hadoop and ERP/CRM systems.
- Implement DevOps solutions and automation processes using industry-standard tools and technologies.
- Apply Infrastructure as Code (IaC) practices using tools like Terraform, CloudFormation, or similar technologies.
- Assume responsibility for accomplishing personal and team goals and mentor junior members of the team.
Key Skills
- Bachelor’s degree in computer science or similar degree
- Minimum 8+ years’ experience working as DevOps Engineer
- Excellent knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Good knowledge of Kubernetes with one Cloud Platform flavor (EKS, AKS, etc.)
- Strong understanding of DevOps best practices, including CI/CD (Jenkins) methodologies and tools.
- Prior experience with Unix and Linux operating systems and virtualized environments is a plus.
- GitOps(ArgoCD) experience would be a plus.
- Proficiency in shell scripting and/or Python programming.
- Sound knowledge of networking and VPN configurations.
- Experience and knowledge of Helm Charts is must
- Good understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana).
- Familiarity with MLOps practices is an advantage.
- CKA (Certified Kubernetes Administrator) and CKAD (Certified Kubernetes Application Developer) certifications are preferred but not mandatory.
Company Culture:
It takes an entire team to transform an industry. At WhizAI, we ask a lot of our employees, which is why we give so much in return. In addition to a competitive salary, we offer many perks, including:
- Performance-based high annual increment percentage
- Post reimbursement for relocation/travel
- Flexible working hours
- Hybrid work model
- Family medical coverage including parents
- Liberal leave policies
- Referral bonuses
- Casual dress code
- Daily refreshments
- Quarterly budget for team building activities
At WhizAI we foster a growth mindset to enable you to achieve more while contributing to the success of WhizAI. We also invest in your professional success so that you’re able to move forward in your career with a richer sense of who you are and how you want to move forward.
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