AWS Technical Lead

Skills

• Minimum 8+ years of software engineering with 5+ years hands-on AWS architecture experience.
• Expert-level proficiency across core AWS services including EC2, Lambda, ECS/Fargate, RDS/Aurora, DynamoDB, S3, API Gateway, SQS, SNS, EventBridge, Step Functions, VPC, IAM, KMS, and Secrets Manager.
• Proven ability to design scalable, resilient, cost-optimized cloud-native solutions aligned to AWS Well-Architected Framework.
• Guides development team on service selection and cloud-native implementation patterns.
• Strong hands-on experience designing performance baselines, defining SLAs/SLOs, and executing load testing (JMeter, Gatling, k6).
• Proficient in building comprehensive observability frameworks covering centralized logging (CloudWatch, ELK, Splunk), custom metrics and dashboards, distributed tracing (AWS X-Ray), and intelligent alerting with escalation policies.
• Experience with Datadog, New Relic, Grafana, and Prometheus.
• Ability to design reconciliation monitoring comparing mainframe and cloud outputs during parallel run.
• Strong experience in application design, distributed systems, and pattern selection for migration scenarios including event-driven architecture (SQS, SNS, EventBridge, Kafka), serverless design (Lambda, Step Functions), batch processing migration (AWS Batch), microservices decomposition, strangler fig pattern, and anti-corruption layer pattern.
• Proficient in distributed systems trade-offs including eventual consistency, saga pattern, idempotency design, circuit breaker, and retry patterns.
• Must have experience designing and implementing enterprise-grade CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline) with automated testing gates, multi-environment promotion strategies, and deployment patterns including blue-green, canary, and feature flags.
• Strong hands-on Terraform and CloudFormation experience.
• Experience integrating security scanning (SAST, DAST), performance testing, and automated rollback into pipeline design.
• Tools include JUnit, Mockito, REST-Assured, JMeter, Postman, SonarQube, GitHub, Maven.
• Hands-on experience designing and implementing integration layers connecting legacy/mainframe systems with cloud-native services.
• Strong proficiency in contract-first REST API design, API Gateway implementation, and asynchronous messaging patterns (SQS, SNS, MQ, Kafka, JMS).
• Experience with ETL/ELT pipeline design, CDC (Change Data Capture), data validation and reconciliation, and batch job migration from mainframe to cloud equivalents.
• Ability to design and coordinate parallel run integration between mainframe and cloud systems.

Responsibilities

• Act as the primary AWS technical authority for the development team — own all cloud architecture decisions within the workstream including service selection, integration patterns, infrastructure design, and coding standards.
• Lead and guide a team of developers day-to-day — assign tasks, unblock technical issues, conduct code reviews, and ensure every engineer understands what they are building and why it matters to the migration program.
• Design and implement the observability framework for migrated workloads — establish logging standards, build custom CloudWatch dashboards, configure distributed tracing (X-Ray), and define meaningful alerting thresholds with escalation runbooks.
• Establish and enforce performance engineering standards — define SLAs/SLOs for each migrated system, design and execute load testing before go-live, optimize AWS service configurations, and validate cloud performance against mainframe benchmarks during parallel run.
• Design, implement, and own the CI/CD pipeline for the workstream — including automated testing gates, multi-environment promotion strategy, deployment patterns (blue-green, canary), rollback procedures, and infrastructure as code (Terraform/CloudFormation).
• Design and implement integration architecture connecting mainframe and cloud systems — define API contracts, messaging patterns, data pipeline design, and reconciliation monitoring to ensure data parity between legacy and cloud outputs.
• Conduct rigorous code reviews for all architectural changes, integration points, and security-sensitive code — enforce standards, flag design deviations, and use reviews as a mentoring opportunity for the development team.
• Own the technical quality of sprint deliverables — ensure all code meets acceptance criteria, passes automated tests, and meets performance and security standards before sprint review.
• Drive technical spike investigations for complex migration scenarios — assess feasibility, document findings, recommend approach, and share outcomes with the Principal Architect and Program Manager.
• Coordinate integration points with other workstream Technical Leads — agree on API contracts, shared data structures, messaging schemas, and cross-team dependencies before development begins.
• Actively participate in PI Planning and sprint planning — provide accurate story estimates, flag AWS-specific risks and dependencies, and protect team capacity from unplanned scope.
• Maintain technical documentation as a delivery standard — AWS architecture decisions, integration specs, monitoring runbooks, deployment guides, and known issues log as part of each sprint's Definition of Done.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Pay

Salary Range: $100,000‑$140,000 a year