Cloud + Security

Required Skills

· Proficient in AWS Cloud platform with good exposure and background in major services such as EC2, EKS, RDS, S3, EMR and more

· Experience in Security architecture/engineering areas and most of this experience should be in large firms in a Senior role.

· Hands-on AWS skills including some basic Python programming experience.

· Well versed in AWS security tools ( Security Hub, Guard Duty, AWS Config, AWS Inspector)

· Deep understanding of various open source and commercial scanning tools

· Proven experience in presenting Security related topics to leadership

· Ability to network with other engineering and security groups in organizations.

· Senior security person who has broader knowledge of various cloud security areas and has architecture and engineering background to address the challenges he/she is expected to face.

· Architecting and implementing secure cloud infrastructure

· Identifying and mitigating security risks

· Monitoring and analyzing security events

· Collaborating with developers and security teams

MLOps

Required skills:

· Proficient in constructing and managing MLOps and DevOps - CI/CD pipelines effectively.

· Utilizes Kubernetes for the orchestration and administration of machine learning workloads.

· Familiarity with MLOps Frameworks, including but not limited to Kubeflow, MLFlow, DataRobot, Airflow, etc.

· Demonstrated expertise in Docker and Kubernetes, including practical experience with OpenShift.

· Competent in programming languages such as Python, Go, Ruby, or Bash.

· Possesses a sound grasp of Linux systems.

· Knowledgeable in various machine learning frameworks, including scikit-learn, Keras, PyTorch, Tensorflow, and others.

· Proficient in software development and skilled in test automation.

· Strong fluency in English and excellent communication skills, coupled with the ability to collaborate effectively within a team.

Cloud + Ops

Required Skills

· Building and maintaining cloud infrastructure: Sculpting virtual machines, storage systems, and networks with Infrastructure as Code (IaC) tools like Terraform and Ansible.

· Automating the mundane: Scripting wizard, writing Python, Bash, or Ruby spells to automate routine tasks and banish manual tedium

· Keeping the cloud healthy: Monitoring performance metrics, diagnosing issues, and keeping the infrastructure humming smoothly.

· Orchestrating deployments: You'll be the conductor of the release orchestra, using CI/CD pipelines to seamlessly deploy applications and updates to the cloud.

· Security first: You'll be a vigilant guardian, implementing security best practices and keeping the cloud fortress protected from threats

· Deep understanding of cloud platforms: AWS, Azure, or GCP – you'll be a cloud native, speaking their languages fluently.

AI + Ops

Required Skills

· Enterprise Solution or Data Architectural experience and consulting experience

· Data Integration Tools and Technologies

· Data Modelling and Data Visualization Tools and Technologies like - GenAI Lang Chain, Hugging Face Machine Learning Scikit-learn, H2O,

· Azure Machine Learning, Tensorflow, Keras or in other cloud / scalable technologies

· Statistical Modeling expertise and understanding of data curation ( Ex GLM, GAMLSS )

· Programming Python (inc. Numpy, Pandas), R, Bash, SQL

· Cloud GCP, Azure, AWS Big Data Tools Hadoop, Spark, Spark Streaming, SparkR, HiveSQL/NoSQL DataStore Terdata, HBase, MongoDB, BigQuery, SnowFlake Other tools Azure DevOps, Docker, Azure Repo, Bitbucket, Github, PowerBI Visualization Matplotlib, Seaborn