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Senior Engineer – AWS

1 month, 3 weeks ago
India
Full-time
Senior
Cloud Engineer
DevOps and Infrastructure
API Gateway AWS AWS CDK Azure CloudFormation CodeBuild CodePipeline DynamoDB EC2 GCP Generative AI Java LLM Machine Learning Memcached PowerShell Python Redis SageMaker Shell Scripting Terraform
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 69

Description

  • Serve as the primary technical escalation point for a broad range of AWS customers.
  • Lead triage, diagnosis, and resolution of critical P1/P2 incidents across AWS services.
  • Perform root cause analysis and produce customer-facing post-mortem reports with prevention plans.
  • Coordinate with TAMs, service teams, and customer stakeholders during live outages, demos, and meetings.
  • Provide advanced troubleshooting across compute, storage, database, networking, security, governance, analytics, AI/ML, serverless, and developer tools.
  • Design, develop, and deploy integration and cloud solutions for customer environments.
  • Mentor junior engineers and contribute to internal knowledge sharing and documentation.
  • Build or improve internal tooling such as dashboards, alerting, and automation.
  • Support pre-sales, scoping, positioning, and technology adoption discussions when needed.
  • Participate in after-hours and weekend support for major outages or change windows.

Requirements

  • 8+ years of hands-on experience designing, operating, and troubleshooting production workloads on AWS.
  • AWS Professional-level certification such as Solutions Architect Pro or DevOps Engineer Pro, plus at least one Specialty certification.
  • Broad practical knowledge across AWS compute, storage, database, networking, security, and governance services.
  • Proficiency with Infrastructure as Code tools such as CloudFormation, CDK, or Terraform.
  • Strong scripting ability in Python (including boto3) and shell scripting, with experience using automation frameworks.
  • Customer-facing experience for 5+ years.
  • 3+ years of experience designing, securing, and deploying large-scale applications and solutions.
  • Experience with at least one major cloud environment such as AWS, Azure, or GCP.
  • Architect-level development skills in at least one language such as Java, Python, or PowerShell.
  • Experience integrating third-party tools and solutions.
  • Ability to travel as required and provide after-hours support when needed.
  • Basic understanding of AI, ML, and Generative AI concepts, including AWS services such as Bedrock, SageMaker, Rekognition, Comprehend, Textract, or Lex.
  • Familiarity with LLMs, prompt engineering, AI governance/security best practices, and AI-enabled cloud automation is an added advantage.
  • Preferred certifications include AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect – Professional, HashiCorp Certified: Terraform Associate, CKA, and AWS Certified Machine Learning – Specialty.

Benefits

  • Full-time remote work arrangement.
  • Managed services environment with enterprise customer exposure.
  • Opportunity to work across a broad set of AWS technologies and complex customer challenges.
  • Participation in customer engagements, demonstrations, and strategic discussions.
  • Use of AI tools in parts of the hiring process with human-led final decisions.

Interested in this position?

Apply directly on the company website

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