A developer is responsible for several Java-related duties throughout the software development lifecycle, from concept and design to testing. The developer is required to create user information solutions through the development, implementation, and maintenance of Java-based components and interfaces.
Position Requirements:
Desired Knowledge:
Must have Skills:
Candidate should possess strong knowledge in below 3 or more areas:
Good to have skills:
QA Automation engineer who understands basics of DevOps [pipeline structures, Jenkins]
Key Skills:
NOTE: Don’t require a framework as we’re using TAP.
As the Security Lead Engineer, you will be responsible for leading and implementing security measures to safeguard our organization's systems, networks, and data. You will play a pivotal role in securing our infrastructure, detecting and mitigating threats, and ensuring compliance with security best practices and standards.
Key Responsibilities:
Qualifications:
We are looking for an experienced API developer using Apigee to join our team. The ideal candidate will be responsible for designing, developing, and maintaining APIs that enable communication between various software applications. The API developer will work closely with cross-functional teams to understand business requirements and translate them into API specifications.
Key Responsibilities:
Requirements:
As a Senior DevOps Engineer with a strong emphasis on DevOps practices, you will lead the charge in optimizing our software development and operations processes. Your primary objective is to elevate our DevOps capabilities by focusing on key areas such as builds – the pipeline, automation, and code quality, all while incorporating vital security components. An Ideal candidate will possess a deep understanding of security from a DevOps perspective. The person must be able to identify gaps, bring the DevSecOps framework to the next maturity level while seeing the bigger picture by effective use of automation, coordinating with cross functional team and enabling the industry best practices within the team.
Key Responsibilities:
Qualifications:
In this role, you will take the lead in enhancing our DevOps capabilities, ensuring that our software development processes are efficient, secure, and optimized for quality. By balancing DevOps excellence with a security-conscious mindset, you will help us deliver reliable and secure software solutions.
The ideal candidate for this role will have strong Core Java skills and a solid understanding of building, testing and deploying microservices. Primary responsibilities will include design, develop and test globally deployed cloud based microservices solutions with high availability. Be responsible for current software development practices and principles to identify and implement process improvements. Work with micro-services teams on RESTful API designs - assist with future scripted API's and websocket investigations.
Key Skills:
Technical Competency:
Prefered Skills:
As a technical team member work with the Offshore / US project team / client on engagements focussed on Oracle EBS / Cloud application.
Desired Knowledge :
Must have skills:
About You :
We’re looking for high achieving full-time Staff AI Engineer to join our engineering team. Someone who has interest in and a good understanding of devops and wants to help design, implement, launch, and scale major AI/ML systems and user-facing features. You're comfortable working in a fast-paced environment with a small and talented team where you're supported in your efforts to grow professionally. You're able to manage your time well, communicate effectively, and collaborate in a fully distributed team. Our backend tech stack currently consists primarily of Python Flask web apps. Our data stores include MongoDB, Neo4J and Redis. We utilize AWS EventBridge for our integrations and design loosely coupled applications. Our stack includes GPT integrations and data processing pipelines supporting generative ai applications. The underlying infrastructure runs on AWS using a combination of managed services like EKS and non-managed services running on EC2 instances. All of our compute runs through CI/CD pipelines that build Docker images, run automated tests, and deploy to our clusters in AWS. Our backend primarily serves a well-documented API that our front-end Salesforce App and Web app consumes. Our infrastructure is automated using Terraform and other AWS tools.