Hire the Top 2% of
Remote Salesforce DevOps Developers
in Australia

Nathan T.

Vetted Salesforce DevOps developer in Australia (UTC+11)

I am a talented Software Engineer with additional experience as a Test Analyst and DevOps Engineer. I currently work on deploying to k8s clusters using Helm, managing Azure infrastructure using Terraform and develop automation using Python, TypeScript and bash shell scripts in GitLab pipelines. My capabilities also cover code review of Go services and test automation using Java frameworks

Leo A.

Vetted Salesforce DevOps developer in Australia (UTC+11)

Leo is a software engineer with a passion for solving hard problems and creating an impact while having fun. Leo loves everything to do with back-end development, containers, serverless technologies, and creating beautiful elegant solutions.

Nitish M.

Vetted Salesforce DevOps developer in Australia (UTC+10)

I am a full stack dev, codinf from more than a decade and from last 5 years in Australia. I am a technology agnostic developer and can code in JS, Python, Apex, C#, Java and many more. I can develop Rest API's easily and can use sever less stack from AWS. I know SQL, SOQL and many database languages too. From web app to mobile app I can do it all.

Madeesha F.

Vetted Salesforce DevOps developer in Australia (UTC+10)

DevOps Engineer in Australia with 6+years’ experience, specialized in DevOps practices with automating cloud deployments in environments, management tools, platforms, server source container infrastructure multi cloud configuration virtualization technologies, migration, control administration, monitoring and CI/CD pipelines include building and supporting web SaaS solutions based on Linux/Unix platforms seeking for a remote job in DevOps/Cloud space.

Tim R.

Vetted Salesforce DevOps developer in Australia (UTC+11)

I am a senior engineer with a strong background in machine learning, AI technologies, and AWS infrastructure. Having co-founded a startup, I’ve had the hands-on experience of building and scaling solutions from the ground up. That included finding talent both local and abroad. I’m currently looking for new opportunities in generative AI, AI engineering, or DevOps, where I can bring my expertise in cloud environments, AI/ML integration, and system automation. I’ve worked on production-ready systems using large language models (LLMs) from platforms like OpenAI and AWS Bedrock. I also enjoy solving complex data challenges by blending prompt engineering with PostgreSQL and vector databases. With solid skills in Python, cloud engineering, and frameworks like PyTorch, I’ve collaborated with teams to improve infrastructure and create AI-driven solutions. I’m passionate about building scalable systems that boost efficiency and add real value to users.

Muhammad J.

Vetted Salesforce DevOps developer in Australia (UTC+11)

I am a dynamic software engineer capable of changing according to the environment. I like to write quality code and follow industry standard as well as properly document and write test.

Kenneth B.

Vetted Salesforce DevOps developer in Australia (UTC+8)

I'm a highly accomplished full-stack software developer with over 17 years of experience in various programming languages, including C#, JavaScript, Typescript and Java. I have strong expertise in cloud platforms such as Azure, AWS and Azure DevOps, BitBucket. I have a proven track record in various roles, including QA Tester, Developer, Tech Lead, DevOps Engineer, and Solution Architect.

Vivek V.

Vetted Salesforce DevOps developer in Australia (UTC+11)

As data is the engine of every business, I took my data science course and loved to interpret the data, exploit the information from it and apply various machine learning algorithms and predict the future results. I am motivated, fascinated in understanding the meaningful insights of data and actively seeking for the full-time opportunities in the data science stream and always owed with “Can Do Spirit”. **TECHNICAL SKILLS Programming Languages:** Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Java, node.js Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering Web Technologies: HTML, Java Script, CSS, Bootstrap, WordPress Databases: SQL, Postgre SQL, Oracle, MongoDB Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL (AlteryX) Operating Systems: Windows, Linux(Ubuntu), Unix Management Tools: Microsoft Office, Integrity, Kubernetes, Docker, Git (For repositories), Stack, Jira, Confluence Cloud Services: Amazon Web Services (AWS), Azure (Kubernetes), DevOps In order to know some meaningful insights of data, how the data is revolving around the whole world and how it has impacted on the people is what made me keen to do my masters in "Data Science" at "Monash University". When I was doing this course, my passion for data science has grown still to a greater extent when my professor started to teach how based on the information gain, entropy "Decision Trees" algorithm has been designed and also through "Associative Learning" algorithms. How every activity associated with **machine learning (or) artificial intelligence i**s being related to one hidden accurate, appropriate algorithm inside it, made my learning and practical interlinking of my course subjects to the real-time world in a better way. 💡Deep understanding of network protocols (TCP/IP, UDP, DNS, DHCP, SDN), Troubleshooting. 💡Programming Languages: Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Ada95, node.js 💡Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology 💡Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering 💡Web Technologies: Apache Tomcat, HTML, Java Script, CSS, Bootstrap, WordPress 💡Databases: SQL, Oracle, MongoDB 💡Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL 💡Operating Systems: Windows, Linux(Ubuntu), Unix 💡Management Tools: Microsoft Office, Integrity, Kubernetes, Docker 💡Cloud Services: Amazon Web Services (AWS), Azure

Ram S.

Vetted Salesforce DevOps developer in Australia (UTC+10)

17 years experienced and dedicated Full-Stack Cloud Engineer with a strong background in NodeJS, TypeScript, backend services, AWS, Azure, ReactJS and Flutter. I possess a growth mindset and a can-do attitude. I am highly skilled in designing and managing scalable cloud infrastructures, backend micro services and excel at translating complex requirements into efficient software with robust architecture. I am keen to enhance my skills through new challenges.

Ankur S.

Vetted Salesforce DevOps developer in Australia (UTC+11)

Machine Learning and Cloud DevOps Engineer | TensorFlow, Python, Kubernetes & AWS Certified | Ex-Microsoft * Machine Learning (ML) engineer for an AI start up for over 6 months. * Cloud DevOps engineer for enterprise cloud transformation projects for over 4 years in Australia. ü Over 4 years of experience in automated provisioning of Kubernetes in cloud platforms like Google Kubernetes Engine (GKE), AWS Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS). * Key skills in TensorFlow, Python, Terraform, Helm Charts, Docker, Golang, GitHub workflows, Kubeflow, Flux CD, Shell scripting, Google Cloud Platform (GCP), Amazon Web Service (AWS) and Microsoft Azure. * Past 18+ years of experience in software industry with Cloud experience dating back to 2012. Coming from 14 years of dev experience in Microsoft technology stack. * Past skills in Azure DevOps, ARM Templates, PowerShell Core and C# .NET Core. Linked In profile: https://www.linkedin.com/in/ankursoniji/