Senior Engineer – AWS

Key Responsibilities

Incident & Problem Management

Lead triage, diagnosis, and resolution of critical (P1/P2) incidents across the AWS ecosystem.

Perform root cause analysis (RCA) and deliver customer-facing post-mortem reports with actionable prevention plans.

Coordinate with Technical Account Managers (TAMs), Service Teams, and customer stakeholders during live outages, Demos and meetings.

Advanced Troubleshooting (Broad AWS Coverage)

Compute: EC2 (AMI baking, Spot, Graviton), Lambda (concurrency, VPC), ECS/EKS (Fargate, Karpenter), Batch, Outposts.

Storage: S3 (lifecycle, replication, Event Notifications), EBS (io2 Block Express, snapshots), EFS, FSx (ONTAP, Lustre), Storage Gateway, Backup.

Database: RDS (Aurora, Multi-AZ, read replicas), DynamoDB (GSI, DAX, Streams), DocumentDB, Neptune, ElastiCache (Redis/Memcached).

Networking & Content Delivery: VPC (peering, TGW, Network Firewall), Direct Connect, Site-to-Site VPN, Route 53 (health checks, latency routing), CloudFront, Global Accelerator, API Gateway.

Security, Identity & Compliance: IAM (policies, SCPs, permissions boundaries), KMS, Secrets Manager, Security Hub, GuardDuty, Macie, Certificate Manager, WAF, Shield.

Management & Governance: AWS Organizations, Control Tower, CloudTrail, Config, Trusted Advisor, Service Quotas, License Manager.

Analytics: Athena, Redshift, EMR, Kinesis (Data Streams, Firehose), MSK, QuickSight, OpenSearch Service.

AI/ML & Serverless: SageMaker, Bedrock, Rekognition, Comprehend, AppFlow, Step Functions, EventBridge.

Developer Tools: CodeCommit, CodeBuild, CodePipeline, CodeDeploy, Cloud9, X-Ray.

Team Leadership & Knowledge Sharing

Mentor junior engineers and maintain internal knowledge base.

Contribute to internal tooling (custom dashboards, alerting, automation).

Required Qualifications

8+ years hands-on experience designing, operating, and troubleshooting production workloads on AWS.

AWS Professional-level certification (Solutions Architect Pro or DevOps Engineer Pro) + at least one Specialty (e.g., Security, Networking, Data Analytics, ML).

Broad, practical knowledge across compute, storage, database, networking, security, and management tools (see domains above).

Proficiency in Infrastructure as Code (CloudFormation, CDK, or Terraform).

Strong scripting: Python (boto3) and shell scripting; experience with automation frameworks.

Advanced Troubleshooting (Broad AWS Coverage)

Compute: EC2 (AMI baking, Spot, Graviton), Lambda (concurrency, VPC), ECS/EKS (Fargate, Karpenter), Batch, Outposts.

Storage:S3 (lifecycle, replication, Event Notifications), EBS (io2 Block Express, snapshots), EFS, FSx (ONTAP, Lustre), Storage Gateway, Backup.

Database: RDS (Aurora, Multi-AZ, read replicas), DynamoDB (GSI, DAX, Streams), DocumentDB, Neptune, ElastiCache (Redis/Memcached).

Networking & Content Delivery: VPC (peering, TGW, Network Firewall), Direct Connect, Site-to-Site VPN, Route 53 (health checks, latency routing), CloudFront, Global Accelerator, API Gateway.

Security, Identity & Compliance: IAM (policies, SCPs, permissions boundaries), KMS, Secrets Manager, Security Hub, GuardDuty, Macie, Certificate Manager, WAF, Shield.

Management & Governance: AWS Organizations, Control Tower, CloudTrail, Config, Trusted Advisor, Service Quotas, License Manager.

Analytics: Athena, Redshift, EMR, Kinesis (Data Streams, Firehose), MSK, QuickSight, OpenSearch Service.

AI/ML & Serverless: SageMaker, Bedrock, Rekognition, Comprehend, AppFlow, Step Functions, EventBridge.

Developer Tools: CodeCommit, CodeBuild, CodePipeline, CodeDeploy, Cloud9, X-Ray.

Team Leadership & Knowledge Sharing

Broad, practical knowledge across compute, storage, database, networking, security, and management tools (see domains above).

Proficiency in Infrastructure as Code (CloudFormation, CDK, or Terraform).

Strong scripting: Python (boto3) and shell scripting; experience with automation frameworks.

Mentor junior engineers and maintain internal knowledge base.

Contribute to internal tooling (custom dashboards, alerting, automation).

Incident Response

Proven ability to resolve critical incidents in large-scale environments (include SLA metrics).

Familiar with ITIL-style problem management and blameless post-mortems.

Lead triage, diagnosis, and resolution of critical (P1/P2) incidents across the AWS ecosystem.

Perform root cause analysis (RCA) and deliver customer-facing post-mortem reports with actionable prevention plans.

Coordinate with Technical Account Managers (TAMs), Service Teams, and customer stakeholders during live outages.

Qualifications

Customer-facing role for a minimum of 5+ years

3+ years designing, securing, and deploying large-scale applications and solutions

Experience with one of the major cloud vendor environments (development, access, migration)  

Effectively communicate with, and present to all levels of the organization

Subject matter expert in at least one major cloud provider (AWS/Azure/GCP)

Architect level development skills in at least one development language (Java, Python, PowerShell, etc.)

Strong skills integrating third party tools and solutions

Strong project and situational awareness

Strong attention to detail

Self-starter

Well organized

Able to travel as required

Requirements

AI / GenAI Knowledge Requirements

Basic understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI concepts.

Exposure to AWS AI/ML services such as Amazon Bedrock, SageMaker, Rekognition, Comprehend, Textract, or Lex.

Understanding AI-assisted operations, automation, and observability tools.

Awareness of Large Language Models (LLMs), prompt engineering, and AI governance/security best practices.

Ability to support AI/ML workloads on cloud infrastructure including GPU-enabled environments.

Familiarity with integrating AI services into DevOps and cloud automation workflows is an added advantage. Recognized Technical Expertise

Proven skills in multiple billable technologies (as measured by certification/approved training completion/proven abilities)

Recognized subject matter expert in professional discipline

Depth of knowledge and experience enables contribution in a more complex/critical environment

Contributions often exceed the full requirements of the expected competencies relative to one’s current job title Lead vs Contribute

Can participate with and lead a team of technical delivery resources across skillsets within a practice to help achieve customer’s business goals and technology needs

Can participate in and lead written deliverable creation across areas of expertise

Provides measurable input into AHEAD new products, processes, standards, and / or plans

Able to provide time estimates for work that needs to be accomplished based on the available information

Coordinates cross-practice and can contribute to cross-practice deliverables using current templates

Self-starter in finding work during non-scheduled work hours

Prioritizes and completes tasks independently on-time or ahead of schedule

Able to lead development and testing activities

Achieve high team standards. Contributes to the refinement of methodology and best practices to establish quality and effectiveness

Initiate and participate in authoring PCR requests when additional work is being requested Architect Skills

Depth and demonstrated expertise across at least one technology

Able to architect and lead deployment of moderately complex solutions related to cloud solutions

Understands performance, scaling and functional characteristics of software technologies

Ability to understand open-source and cloud use-cases, and recommend standard design patterns commonly used in such solutions (best practices) Certifications – good to have

AWS Certified Solutions Architect – Associate

AWS Certified SysOps Administrator – Associate

AWS Certified DevOps Engineer – Professional (Preferred)

AWS Certified Solutions Architect – Professional (Preferred)

HashiCorp Certified: Terraform Associate

Certified Kubernetes Administrator (CKA)

AWS Certified Machine Learning – Specialty (Good to Have)

Google Cloud Professional Machine Learning Engineer (Good to Have) Communications (verbal and written)

Communicates with external customers, which may include senior management, on matters that require explanation, interpretation, and/or advising

Often exceeds expectations with respect to customer expectations (communications, meets commitments, etc.)

Able to work with outside vendors on internal or customer related issues

Participate in pre-sales activities including scoping, positioning, technology adoption and maturation

Able to identify new client opportunities inside of the POD and communicate those to upper management including the Team Lead

Can communicate beyond tactics and technology and can help customers management set strategic direction

Can write and lead complex deliverables within the practice

Ability to understand and translate customer requirements into technical requirements Leadership and Influence

Works to influence direct team members, broader internal team, and external customers, to agree and accept new concepts, best practices, and approaches

Advises and trains more junior staff via mentorship while helping to drive the entire AHEAD platform

A reliable resource for marketing on thought leadership pieces for their practice for AHEAD and our customers

Has started speaking at industry conferences and/or webinars

Contributes to more complex workshops and understands how their area of expertise fits into our stitching message

Accepts responsibility for own actions and sometimes those of others as part of a team

Works well with immediate, extend and external teams, a true team player

Consistently meets expectations in terms of customer facing, writing, presentation and problem solving skills and requires little to no supervision in this area

Consistently exhibits a positive attitude towards AHEAD and its customers

Willing to go the extra mile when asked to do so (i.e., time outside of normal working hours to support a customer initiative, production roll-out, could also be > 40 hours for short intervals)

Consistently pursues self-development and drives the AHEAD business model for self and sometimes others on the team

Highly respected by peers and sales team Culture o Support initiatives beyond area of responsibility o Encourage cross team interaction o Motivate people to think creatively o Achieve success through others