DevSecOps – Staff Engineer

Chennai , India
full-time

AI overview

Drive secure CI/CD pipeline design and automation while collaborating across teams to enhance security and compliance for cloud infrastructure.

A DevSecOps Staff Engineer integrates security into DevOps practices, designing secure CI/CD pipelines, building and automating secure cloud infrastructure and ensuring compliance across development, operations, and security teams.

 

Responsibilities

  • Design, build and maintain secure CI/CD pipelines utilizing DevSecOps principles and practices to increase automation and reduce human involvement in the process
  • Integrate tools of SAST, DAST, SCA, etc. within pipelines to enable automated application building, testing, securing and deployment.
  • Implement security controls for cloud platforms (AWS, GCP), including IAM, container security (EKS/ECS), and data encryption for services like S3 or BigQuery, etc.
  • Automate vulnerability scanning, monitoring, and compliance processes by collaborating with DevOps and Development teams to minimize risks in deployment pipelines.
  • Suggesting architecture improvements, recommending process improvements.
  • Review cloud deployment architectures and implement required security controls.
  • Mentor other engineers on security practices and processes.

Requirements

  • Bachelor's degree, preferably in CS or a related field, or equivalent experience
  • 10+ years of overall industry experience with AWS Certified - Security Specialist.
  • Must have implementation experience using security tools and processes related to SAST, DAST and Pen Testing
  • AWS-specific: 5+ years’ experience with using a broad range of AWS technologies (e.g. EC2, RDS, ELB, S3, VPC, CloudWatch) to develop and maintain an Amazon AWS based cloud solution, with an emphasis on best practice cloud security.
  • Experienced with CI/CD tool chain (GitHub Actions, Packages, Jenkins, etc.)
  • Passionate about solving security challenges and being informed of available and emerging security threats and various security technologies.
  • Must be familiar with the OWASP Top 10 Security Risks and Controls
  • Good skills in at least one or more scripting languages: Python, Bash
  • Good knowledge in Kubernetes, Docker Swarm or other cluster management software.
  • Willing to work in shifts as required

Good to Have

  • AWS Certified DevOps Engineer
  • Observability: Experience with system monitoring tools (e.g. CloudWatch, New Relic, etc.).
  • Experience with Terraform/Ansible/Chef/Puppet
  • Operating Systems: Windows and Linux system administration.

Perks:

  • Day off on the 3rd Friday of every month (one long weekend each month)

  • Monthly Wellness Reimbursement Program to promote health well-being

  • Monthly Office Commutation Reimbursement Program

  • Paid paternity and maternity leaves

 

Any full time degree 

Perks & Benefits Extracted with AI

  • Commutation reimbursement: Monthly Office Commutation Reimbursement Program
  • Paid Parental Leave: Paid paternity and maternity leaves
  • Wellness Stipend: Monthly Wellness Reimbursement Program to promote health well-being

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

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