Role Proficiency:
Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities
Outcomes:
Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team membersMeasures of Outcomes:
Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainingsOutputs Expected:
Code:
Code as per design Follow coding standardstemplates and checklists Review code – for team and peers
Documentation:
checklists
guidelines
standards for design/process/development Create/review deliverable documents. Design documentation
r and requirements
test cases/results
Configure:
Test:
scenarios and execution Review test plan created by testing team Provide clarifications to the testing team
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Manage knowledge:
share point
libraries and client universities Review the reusable documents created by the team
Release:
Design:
LLD
SAD)/architecture for Applications/Features/Business Components/Data Models
Interface with Customer:
Manage Team:
opportunities
etc Ensure team is engaged in project
Certifications:
Skill Examples:
Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware’s. Strong analytical and problem-solving abilitiesKnowledge Examples:
Appropriate software programs / modules Functional and technical designing Programming languages – proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile – Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solvedAdditional Comments:
Senior Software Engineer –AWS SRE Devops Experian Automotives looking for AWS Platform SRE to help build and maintain our Automotives products platform and ensure the reliability, performance, and scalability of cloud-based data infrastructure, leveraging AWS services to create a robust and secure environment. Roles and Responsoibilites:- Strong and working experience on AWS Platform and below are the responsibilities • Infrastructure Automation and Management: o Create and manage Infrastructure as Code (IaC) using tools like Terraform on AWS platform. o Automate deployments, scaling, backups, and disaster recovery processes. o Develop and maintain CI/CD pipelines to ensure smooth deployment and rollback processes. • Security and Compliance: o Implement security best practices, including network security, IAM policies, and encryption. o Conduct security audits and compliance checks to ensure regulatory adherence. o Respond to security incidents and implement remediation measures. • Collaboration and Continuous Improvement: o Work with development teams to ensure services are reliable, scalable, and easily monitored. o Collaborate with cross-functional teams to design, build, and maintain cloud infrastructure. o Identify and implement improvements to operational processes and workflows. • Performance and Reliability Optimization: o Analyze performance metrics and optimize infrastructure and application performance. o Define and enforce Service Level Objectives (SLOs) and Service Level Indicators (SLIs). o Conduct capacity planning and scaling to manage anticipated loads. • Disaster Recovery and Business Continuity: o Design, implement, and test disaster recovery and business continuity plans. o Ensure regular backups and replication to minimize data loss and downtime. Experience and skillset:- • 7+ years of experience as a Cloud Site Reliability Engineer on AWS Platform. • 3+ years of Strong experience with AWS services (AWS S3, EC2, Glue, Redshift, RDS) in shared service or hybrid environments. • Proficiency in AWS services (EC2, S3, RDS, Lambda, VPC, CloudWatch, IAM, etc.). • Strong knowledge of scripting languages (Python) and automation tools (Terraform). • Experience with CI/CD tools and DevOps practices. • Familiarity with monitoring and logging tools. • Strong troubleshooting and problem-solving skills, Good to have exposure to Machine Learning (ML) and Artificial Intelligence (AI) fields. • Exposure to industry-standard Data Governance processes and procedures.