Associate Software Application Development Engineer Jobs

Minimum 5 years of experience in software development.

Extensive hands-on experience using generative AI for software engineering tasks or in a product you built.

Software Engineer (AI-Powered Development) key responsibilities

Proposing and conducting experiments with generative AI to enhance engineering processes, including problem decomposition, solution design, code generation, and advanced troubleshooting.

Documenting best practices and techniques in playbooks and guides that enable others to harness the power of generative AI effectively.

Using AI tools and techniques to develop and roll out actual features and products.

Minimum 5 years of experience in software development.

Extensive hands-on experience using generative AI for software engineering tasks or in a product you built.

Software Engineer (AI-Powered Development) key responsibilities

Proposing and conducting experiments with generative AI to enhance engineering processes, including problem decomposition, solution design, code generation, and advanced troubleshooting.

Documenting best practices and techniques in playbooks and guides that enable others to harness the power of generative AI effectively.

Using these AI tools and techniques to develop and ship actual features and products.

Participate in code reviews to maintain code quality, adhere to coding standards, and learn from experienced team members.

Basic knowledge of programming languages such as Java, Python, C++, or similar.

Strong problem-solving skills and the ability to learn quickly in a fast-paced environment.

Assist in identifying and troubleshooting technical issues within the codebase, implementing effective solutions to ensure software reliability and functionality.

Develop and execute unit tests and participate in integration testing to ensure software quality and robustness.

Bachelor's degree in Computer Science, Software Engineering, or a related field.

Having knowledge of software release management is an advantage

Good analytical and logical skills in understanding user requirements and application design concept

Having knowledge to create Software Requirement Specifications

Having knowledge or experience with one of this Programming Language is an advantage: .Net like C# and Vb.net, Java

Capabilities to work under pressure with team or minimum supervision

Having knowledge about SDLC (Software Development Life Cycle)

Have knowledge about ERP is a plus

Involving in developing the backend system Involving in developing the backend system.

Learn and help solve technical problems.

Work together with the engineering team to make sure the brief and delivered time.

You will be reported to the Lead Engineer to ensure you meet the coding standards and development processes

Final year student or Fresh graduation in computer science, software engineering or equivalent

Applies knowledge of software development best practices, including coding standards, source control management, build processes, and operations

Contributes to requirement (functional and non-functional) analysis

1 – 5 year experience in the embedded or industrial software development or fresh graduate having proven competencies.

Knowledge in embedded systems architecture (ex: ARM) and constraints.

Knowledge on DevSecOps process and tools (CI, JIRA, GIT, etc)

Experience working in Scrum team is an advantage

At least 2-3 years experience with web and application server technologies

Experience in testing software applications

Knowledge of Amazon Web Service, Digital Ocean, Cloudflare, Docker, Linux, Terraform, Bash Scripting

Monitor and troubleshoot the infrastructure to ensure system stability and performance

Ensures all assigned incidents and service requests are resolved within defined service level

Identify and communicate potential risks and issues that would have substantial impact on the project

Preferred qualification: Strong knowledge in electrical/electronic concept and design

Preferred qualification: Experience with threat modelling and risk assessment methodologies

Preferred qualification: Experience with secure coding practices for embedded systems

1 – 5 year experience in the embedded or industrial software development or fresh graduate having proven competencies.

Preferred qualification: Understanding of cryptographic protocols and mechanisms for embedded systems

Strong knowledge of hardware architecture, including microprocessors, memory, and I/O devices

Applies policy and procedures to solve variety of issues

Problems are moderate in nature

Build productive internal and external working relationships

Receives general instructions on routine work

Receives detailed instructions on new work

Solid programming ability in at least one language with at least 3 years of relevant experience.

Experience with AWS, Azure, Heroku or any other cloud platforms

Worked on non-trivial Javascript applications (and experience in VueJS)

Any experience in the one or more of the following is a definite plus:

Designing, documenting, and implementing efficient API endpoints

Implementing security and data-protection best practices