Adaptive Autosar + Bootloader Developer

Springer Capital is a cross-border asset management firm focused on real estate investment banking in China and the USA. We are offering a remote internship for individuals passionate about automation, cloud infrastructure, and CI/CD pipelines. Start and end dates are flexible, and applicants may be asked to complete a short technical quiz or assignment as part of the application process. 

Responsibilities: 

▪ Assist in building and maintaining CI/CD pipelines to automate development workflows 

▪ Monitor and improve system performance, reliability, and scalability 

▪ Manage cloud-based infrastructure (e.g., AWS, Azure, or GCP) 

▪ Support containerization and orchestration using Docker and Kubernetes 

▪ Implement infrastructure as code using tools like Terraform or CloudFormation 

▪ Collaborate with software engineering and data teams to streamline deployments 

▪ Troubleshoot system and deployment issues across development and production environments 

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

• Solid understanding of IP network and TCP/IP
• Minimum of 7+ years’ work experience in IT
• Minimum of 4+ years experience as DevOps Enginneer
• Good interpersonal skills and communication written and oral.

About Us

At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.

Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.

We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.

The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.

Website: http://www.digilytics.ai">www.digilytics.ai

• Know about our product
  • https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
  • https://www.digilytics.ai/RevUP/">Digilytics RelUP
• What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
• Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z

 Responsibilities

• Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
• Hands-on experience on Kubernetes/Docker/helm.
• Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
• Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
• CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
• Experience with SharePoint and O365 administration
• Azure/Kubernetes certification will be preferred.
• Microsoft Partnership experience is good to have. 
• Excellent understanding of required technologies
• Good interpersonal skills and the ability to communicate ideas clearly at all levels
• Ability to work in unfamiliar business areas and to use your skills to create solutions
• Ability to both work in and lead a team and to deliver and accept peer review
• Flexible approach to working environment and hours to meet the needs of the business and clients

Must Haves:

• Hands-on experience on Kubernetes/Docker/helm.
• Experience on Azure/Aws or any other cloud provider.
• Linux & CI/CD tools knowledge.

Experience & Education:

• A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
• Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
• Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
• A bachelor's degree, or equivalent, in Software Engineering and Computer Science

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.