Oracle EBS Project Manager

we’d love to speak with you. Skills and Qualifications:

Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.

Proficiency in scripting languages such as Python, Bash, or Ruby.

Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.

Experience with cloud platforms such as AWS, Azure, or GCP.

Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.

Experience with version control systems such as Git.

Familiarity with Agile methodologies and practices.

Understanding of networking concepts and principles.

Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.

Good understanding of security and data protection principles.

Roles and responsibilities:

● Building and setting up new development tools and infrastructure

● Working on ways to automate and improve development and release processes

● Deploy updates and fixes

● Helping to ensure information security best practices

● Provide Level 2 technical support

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

About us:
At Priori Capital, we are building The financial SaaS for the Businesses operating with digital assets by empowering the teams to operate in an  effective, efficient and error-free manner by bringing all things finance on one platform. We aim to solve digital asset management for institutions offering cryptographic security, user management setup and secure access to the blockchain ecosystem.

We’re looking for someone passionate about driving innovation and solving exciting problems.

What are you joining: 

We are currently in a fast-paced growth environment where the only constant is evolution!

Our team includes individuals with experience in internationally known blockchain and fintech companies like Polygon (Matic), udaanCapital, Iris, Infosys, Cognizant etc.

We are a part of the Kira community and backed by a Polygon Co-founder as an investor and mentor.

What will you do:

• Design to simplify the complexity - Work with our designers to simplify the systems that are working across chains, protocols or existing financial systems.
• Build for the future of finance - Build, deploy and come back to the whiteboard with the core team to innovate, ideate and scale solutions.
• Own your ship - Be responsible to build framework components, own the development process and drive the development cycle to improve transparency and productivity across the team.

What are we looking for:

• 2+ years of experience in Frontend Engineering building scalable web applications: Experience in web3/fintech is not a mandate to apply. You learn as you go!
• You should be good at your game: Detailed oriented and have a thorough knowledge of JavaScript, HTML5 and CSS3 & hands-on experience with either of VueJS, Angular, React OR similar.
• You have a strong bias for action: You seek problems. If you see one, you find the solution. If you have one, you should be already building it. If it fails, you move to the next!
• You want to grow but together: You want to learn and master new skills by tackling new problems with the team

We are more excited if you have this:

• Knowledge of Git, GraphQL, Flux, Webpack, etc.
• Good at analytical problem solving, know-how of core computer science and algorithms.
• Interested in blockchain or finance.
• Experience in Fintech or Web3 Applications

• Learn from the best!
• Work from wherever
• Self-managed leave policy
• Focus on Work-life Balance
• Learning Budget to hone a skill or learn new ones
• Be a part of the fast-growing environment
• Competitive Salary

JD for Java Developer Position (3-5 years)

Notice Period: 10-20 days or within 1 month

1. Excellent Java skills
2. Hands-on working experience with Spring, Hibernate, GIT, Jenkins
3. Strictly adhere to coding standards & unit testing
4. Excellent analytical skills and communication skills are a must
5. Knowledge of MySQL or any other DBMS

Added Advantage
1. ElasticSearch
2. AWS services like lambda, redis, graphql etc
3. Docker

Job Description:

• Integration of user-facing elements developed by front-end developers.
• Build efficient, testable, and reusable PHP modules.
• Solve complex performance problems and architectural challenges.
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
• Strong knowledge of PHP web frameworks (such as Laravel, Codeignitor, Yii, etc depending on your technology stack)
• Understanding the fully synchronous behavior of PHP.
• Understanding of MVC design patterns.
• Basic understanding of front-end technologies, such as JavaScript, JQuery, HTML5 and CSS3
• Knowledge of object oriented PHP programming
• Understanding accessibility and security compliance (Depending on the specific project)
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Understanding fundamental design principles behind a scalable application
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Gif.
• Build efficient, testable, and reusable PHP modules.
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc}
• Hands on Experience with AWS and NoSQL Database, Integration of AWS Services. (Mandatory)

Development: HTML5, CSS3, JS, JQuery, PHP(Must), Python, Java, Git, Dev Tools, C//.

Development Framework: Laravel, Codeigniter, React JS, Vue JS, Bootstrap. 

Tools: Trello, Slack, ASANA, Visual Studio Code, PHPStorm, Github, Selenium

Technologies Frameworks: Bootstrap, Laravel, WordPress. 

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.