India
3 days ago
Software Engineer

Family Description

Applied R&D (AR) consists of target-oriented research either with the goal of solving a particular problem / answering a specific question or for multi-discipline design, development, and implementation of hardware, software, and systems including maintenance support. Supplies techno-economic consulting to clients. AR work is characterised by its detailed and complex nature in order to systematically combine existing knowledge and practices to further developing and incrementally improving products, operational processes, and customer-specific feature development.

Subfamily Description

Software (SWA) comprises the definition, specification, and allocation of requirements from different sources utilising knowledge of systems engineering processes (specification & architecture). Contains processing of use case and feature requirements into conceptual models, operational scenarios, technical requirements, and functional description. Covers specification, design, implementation, and unit testing of Software (e.g. device drivers, microcode, hardware-related software & firmware) according to the requirements and architecture defined in the systems engineering process. Covers establishment and maintenance of Software Configuration Management (SCM) practices into software development projects, continuously building and integrating infrastructure tools and systems.

 

Impact

Impact is short-term and departmental/project in scope. Accountable for quality, accuracy and efficiency. Actions and errors can have functional area impact. 

Scope & Contribution

Individual Contributor: Variety of complex tasks within area of responsibility, Demonstrates initiative & contributes to problem solving. Acts with independence and discretion in routine matters. Makes decisions that affect own work. Managerial/Supervisory: May act as Team Leader or Project Leader with some direct supervisory responsibilities in addition to own work assignments. Variety of complex tasks within area of responsibility. Acts with independence and discretion in routine matters. Makes decisions that affect own work.

Innovation

Performs routine activites to meet departmental/project objectives. Requires moderate supervision. Applies commonly recognised concepts within their field of expertise. Shares knowledge with less experienced peers or have high collegial interaction. Raises innovative ideas. Demonstrates adaptability to changing business environments. Is willing to take on new roles or jobs appropriate to skill set in different environments and/or locations. 

Communication

Works to influence others to accept job functions view/practices and agree/accept new concepts, practices, and approaches. May conduct briefings with senior leaders within the job function. May at times be required to negotiate regarding operational issues. Has cross-cultural knowledge and global mindset

Knowledge & Experience

Strong expertise in Python or similar scripting languages. Hands-on working experience in one of the DevOps/SCM/CI tools Jenkins pipeline, distCC, Zuul, Webtechnologies, CloudSolution Technologies like OpenStack / AWS, Docker, Kubernetes, etc. Established skills and knowledge of theory and principles within a professional discipline. Uses functionally specific knowledge.Typically 3-5 years directly related experience and a graduate equivalent degree.

 

Responsibilities

Implement, and maintain automated build and deployment pipelines using industry-standard tools and frameworks (e.g., Yocto, Jenkins, Gerrit, distCC, ZUUL). Manage and customize toolchains, compilers, and libraries within the build environment to support the development and cross-compilation of software for embedded systems. Optimize build times, resource usage, and system performance through configuration tuning, parallelization, and caching strategies. Monitor build pipelines and investigate build failures or performance issues, identifying and implementing solutions to improve reliability and efficiency. Automate/optimize data driven pipelines with AI/ML algorithms 

 

Preferred Skills

Hands-on exposure in to SCM/CI methodologies, DevOps tools (Eg: Jenkins), Build Frameworks (Eg: Yocto)  and Scripting Languages (python, groovy, shell) Minimum 4 year’s of experience in R&D  Proven experience in designing and implementing CI/CD pipelines. Experience working on with Git technology and understanding of Git branching strategies. Strong scripting and automation skills (e.g., Python, Bash, PowerShell). Excellent problem-solving skills and a proactive approach to identifying and addressing issues. Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Desirable to have experience with containerization technologies like Docker, Kubernetes (EKS), or OpenShift Desirable to have exposure to AI/ML algorithms. 
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