Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Qualification
AWS service operationsContainers and orchestrationObservabilityData reporting5+ years AWS Cloud experience deploying
Required
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
