Total 3 job vacancies by SAIRAM TECHNOLOGIES PTY LTD

Full job description
Devops/Cloud Engineer

Opportunity

Stable and secure permanent full-time role Competitive salary and benefits Flexibility + access to professional development Immediate start $70k - $85k p.a plus Superannuation.

About Us

We are an IT consulting and services company focusing on Data Analysis, Data visualisation, Big Data and Cloud services based in Victoria.

Role Description

As a Cloud engineer, you work closely with product delivery teams by deploying , administering, monitoring, and improving their services, using standard operational processes capabilities; including disaster recovery, high-system availability, on-demand scalable solutions, infrastructure monitoring, continuous deployment capabilities, etc.

Key Responsibilities:

You are someone with:

3+ years of relevant professional experience in a large, diverse, server environment
Intermediate/advanced knowledge of VMware vRealize Automation (or similar).
Experience implementing AWS and Azure services in a variety of distributed computing environments
Knowledge of IP networking, VPN's, DNS, load balancing and firewalling.
In depth knowledge of public cloud providers like AWS, Azure, GCP or other major vendors of public cloud
An advanced degree or training in the area of specialisation such as AWS or Azure architect is preferred
Technical proficiency including systems experience, strong troubleshooting and problem solving skills, and issue management in a multi-platform environment
Strong knowledge of emerging IT technology solutions, industry trends, and progressive operations methodology
Intermediate/advanced knowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3, & VPC).
Intermediate/advanced knowledge of the primary Azure services (Azure VM`s, AAD, Key Vault, Azure DNS, Blob Storage, ASR & VNet)
Expert knowledge of virtualization technologies such as VMWare and Hyper-V.
Knowledge of big data and analytics solutions, and Hadoop environments
Knowledge of Microsoft IIS, Domains, Active Directory
Familiarity with DNS and Ip management tools such as Infoblox
Preferred Skills:

Experience with Cloud platforms such as: AWS, Azure and GCP
Experience in API management including tools such as Postman
Experience with DevOps / Continuous Integration frameworks with configuration management tools such as Puppet (Chef, Salt, Docker also relevant).
Experienced with automation and orchestration concepts/skills
Knowledge of ITIL Practises and project management methodology
Operating Systems: Windows and/or Linux
Infrastructure as Code: Terraform, ARM Templates, Cloud Formation, AWS CDK, Serverless Framework and Pulumi
Automation and Scripting: Bash, PowerShell, JavaScript, Python, C#
Build / Release Tools: GitHub, Azure DevOps, Bitbucket and TeamCity
Databases: MS SQL, Cosmos, PostgreSQL
Serverless: AWS Lambda, Azure Functions
Containers: Docker, Kubernetes
Configuration Management: Ansible, PowerShell DSC
Job Type: Full-time

Salary: $70,000.00 – $85,000.00 per year

Benefits:

Hybrid
Schedule:

8 hour shift
Ability to commute/relocate:

Melbourne VIC: Reliably commute or planning to relocate before starting work (Preferred)
Work Authorisation:

Australia (Preferred)
Date Posted: 15 Oct 2024

Job Types: Full-time, Permanent

Pay: $70,000.00 – $85,000.00 per year

Benefits:

Professional development assistance
Work from home
Schedule:

8 hour shift
Monday to Friday
Supplementary Pay:

Overtime pay
Education:

Bachelor Degree (Preferred)
Experience:

Data Engineer: 5 years (Preferred)
Work Location: Hybrid remote in Alfredton, VIC 3350

Data Engineer

Opportunity

Stable and secure permanent full-time role Competitive salary and benefits Flexibility + access to professional development Immediate start $70k - $85k p.a plus Superannuation.

About Us

We are an IT consulting and services company focusing on Data Analysis, Data visualisation, Big Data and Cloud services based in Victoria.

Role Description

We have an opportunity for a Data Engineer to work on a large, greenfield data project in a large environment. You will be working closely with the business and other stakeholders as you develop a business-critical analytics and data platform.

Key Responsibilities:

As a Data Engineer, you will have to:

Build data lakes, data pipelines, big data solutions and data warehousing solutions.
Develop and deploy key cloud based infrastructure and maintain data pipelines.
Excellent working experience in Python and SQL.
Excellent working experience of AWS Redshift.
Experience with Dockers and kubernetes.
Experience with AWS including any or all of EC2, S3, IAM, EKS and RDS.
Good understanding of Data Warehousing/ETL concepts.
Experience with CI/CD tools.
Translate business requirements into efficient technical design.
Collaborate with cross-functional teams and work with different stakeholders.
Work with the Lead Data Engineer to manage and maintain a global data warehouse environment/ETL framework and database integrations
Problem analysis, process improvements and efficient issue resolution
Design and implement technology best practices, guidelines, and repeatable operational processes.
Skills and Experience:

To meet the challenges of this role, you will ideally be a bachelor's degree qualified in computer Science, engineering, or related field and possess the following skills and experience:

5+ years of experience in building cloud data infrastructure that can scale with ease, depending on traffic
Experience with Cloud platforms such as: AWS, Azure and GCP
Experience with DevOps / Continuous Integration frameworks with configuration management tools such as Puppet (Chef, Salt, Docker also relevant).
Experienced with automation and orchestration concepts/skills.
Good knowledge of data management, data governance, and data storage principles.
Proficiency in Pyspark for data processing and analytics.
Work closely with functional teams to design and implement a Customer Data Platform (CDP) on Cloud.
Ensure data solutions adhere to best practices in security, scalability, and performance.
Develop, manage, and maintain ETL frameworks, data modelling and analysis using Kimball dimensional modelling methodology
Ability to work both individually and collaboratively and enjoy taking ownership of a project
Infrastructure as Code: Terraform, ARM Templates, Cloud Formation, AWS CDK, Serverless Framework and Pulumi
Build / Release Tools: GitHub, Azure DevOps, Bitbucket and TeamCity
Containers: Docker, Kubernetes
Project Management Capabilities (scrum, agile, and waterfall) and good communication skills.
Job Type: Full-time

Salary: $70,000.00 – $85,000.00 per year

Benefits:

Hybrid
Schedule:

8 hour shift
Ability to commute/relocate:

Melbourne VIC: Reliably commute or planning to relocate before starting work (Preferred)
Work Authorisation:

Australia (Preferred)
Date Posted: 15 Oct 2024

Job Types: Full-time, Permanent

Pay: $70,000.00 – $85,000.00 per year

Benefits:

Professional development assistance
Work from home
Schedule:

8 hour shift
Monday to Friday
Supplementary Pay:

Overtime pay
Education:

Bachelor Degree (Preferred)
Experience:

Data Engineer: 5 years (Preferred)
Work Location: Hybrid remote in Alfredton, VIC 3350

Opportunity

Stable and secure permanent full-time role Competitive salary and benefits Flexibility + access to professional development Immediate start $70k - $85k p.a plus Superannuation.

About Us

We are an IT consulting and services company focusing on Data Analysis, Data visualisation, Big Data, Machine learning, Web development and Cloud services based in Victoria.

Role Description

We are looking for an exceptional software engineer with a focus on Machine Learning and Artificial Intelligence. This position will join our Machine Learning (ML) team, and play a key role in the development, and implementation of cutting-edge machine learning software solutions.

Key Responsibilities:

Python Development: Write high-quality, production-level Python code.
ML Knowledge: Utilise Python ML packages in your work, develop and implement best practice ML model management and governance frameworks, including data quality management and data security.
Software Development: Develop and maintain code adhering to best practices and software engineering standards.
Automated Machine Learning (AutoML): Experience with AutoML tools and libraries to streamline the process of model selection, hyperparameter tuning, and feature engineering.
Version Control: Use version control systems and engage in paired programming with team members.
Cloud Environment: Work within an Azure cloud environment, although experience with other cloud frameworks is acceptable.
DevOps and Containers: Gain an understanding of data pipelines, Docker, and containers, with a dedicated specialist available for hands-on experience.
ML Frameworks: Collaborate with the team using PyTorch and ONNX.
Database Expertise: Leverage SQL databases and explore opportunities for database automation or Vector database implementation.
Model Evaluation and Selection: Proficiency in selecting appropriate evaluation metrics, cross-validation strategies, and statistical techniques to assess model performance accurately.
Qualifications:

We are seeking someone with a minimum of 5 years’ experience with Python and related technologies, such as type hinting, package management, and Pythonic testing.
Experience in ETL for BI and reporting purposes (Python and SQL) is important, as well as experience developing secured APIs to provide access to data and software services.
Proficiency in Python development for production-level applications.
Working knowledge of Python ML packages.
Familiarity with version control systems and paired programming.
Experience or understanding of cloud environments (Azure preferred).
Expertise in programming languages such as Python, and proficiency with machine learning libraries/frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
Background in DevOps practices, data pipelines, Docker, and containers is a plus.
Familiarity with PyTorch and ONNX is advantageous.
Experience with SQL databases; knowledge of database automation or Vector database is highly desirable.
Agile methodology experience.
Nice to have

Knowledge of workflow orchestration tools like Apache Airflow, Composer
Knowledge of ML algorithms, or passion to learn new skills
Experience with Test-Driven Development (TDD), Behaviour Driven Development (BDD)
Experience building Machine Learning pipelines
Experience with Google Cloud
Experience in ML Ops/DevOps
Benefits:

Flexible hybrid work arrangements
Exposure to cutting-edge ML and AR projects.
Opportunity to collaborate with a talented and innovative team.