openqareer

Senior DevOps/Platform Engineer

Looi Consulting · Buenos Aires, Buenos Aires

# Senior DevOps/Platform Engineer **Looi Consulting** · Buenos Aires, Buenos Aires · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role Part-Time Contract | Remote | Approximately 20 Hours per Week About the Role A mission-critical SaaS platform used by approximately 800 flooring businesses to manage leads, estimates, product selection, inventory, scheduling, installations, invoicing, and payments is being modernized from a legacy .NET/ASP, SQL Server, stored-procedure-heavy environment to React, Node.js, TypeScript, native PostgreSQL, REST APIs, and AWS. Much of the initial conversion has been completed using AI-assisted development. The immediate priority is to clean up, test, validate, and safely release the converted system while existing customers remain active. We are looking for a hands-on Senior DevOps/Platform Engineer who can strengthen the delivery platform, observability, security, and production safeguards required for frequent, low-risk releases. Responsibilities - Assess the current AWS infrastructure, CI/CD pipelines, environments, deployment process, and production risks. - Improve automated build, test, security-scanning, deployment, and rollback workflows. - Support small, frequent releases through feature flags, staged rollouts, health checks, and automated validation. - Establish safe coexistence between legacy and modern services during the migration. - Build and maintain infrastructure as code for repeatable, auditable environment provisioning. - Strengthen monitoring, centralized logging, distributed tracing, alerting, dashboards, and incident-response procedures. - Define service-level indicators for availability, latency, error rates, database health, queues, and critical business workflows. - Help diagnose performance and stability issues involving AWS, Node.js services, APIs, PostgreSQL, Babelfish, and legacy .NET components. - Support the transition from Babelfish and SQL Server-oriented behavior to native PostgreSQL. - Review capacity, connection-pool, timeout, retry, queue, and load-shedding configurations. - Improve resilience for asynchronous and event-driven workloads using services such as Lambda, SQS, EventBridge, API Gateway, Redis, and dead-letter queues. - Implement secure secrets management, access controls, audit logging, vulnerability management, backup, and recovery procedures. - Verify that rollback remains safe after application or database writes, including backward-compatible schema changes. - Review AI-generated infrastructure and deployment changes for correctness, security, maintainability, and operational risk. - Document deployment standards, incident procedures, environment configuration, and operational ownership. - Partner closely with engineering and product teams, with meaningful overlap during US working hours. Required Qualifications - At least 7 years of professional DevOps, SRE, platform engineering, or cloud infrastructure experience . - Strong hands-on experience operating production workloads in AWS. - Proven ownership of CI/CD architecture, automated deployments, monitoring, incident response, and rollback. - Experience supporting production systems built with Node.js, React, PostgreSQL, and .NET. - Strong understanding of: - Infrastructure as code - Networking, DNS, load balancing, and API gateways - Containers and serverless workloads - Logs, metrics, traces, alerts, and production dashboards - Secrets management and least-privilege access - Backups, disaster recovery, and production readiness - Database migrations and backward-compatible schema changes - Connection pooling, capacity planning, retries, idempotency, and failure recovery - Experience introducing staged deployments, feature flags, canary releases, or blue-green deployments. - Ability to troubleshoot across application, infrastructure, network, and database layers. - Experience working on incremental modernization where legacy and modern systems must run in parallel. - Strong written and spoken English with the ability to communicate risk and recommendations clearly. - Ability to work independently and deliver senior-level ownership within a part-time schedule. Preferred Qualifications - Experience with AWS Lambda, SQS, EventBridge, API Gateway, Redis, CloudWatch, and container-based AWS services. - Experience migrating SQL Server workloads to PostgreSQL, particularly through Babelfish. - Experience with Terraform, CloudFormation, or similar infrastructure-as-code tooling. - Experience operating workflow-heavy SaaS involving inventory, scheduling, invoicing, payments, or other production-critical transactions. - Familiarity with OpenTelemetry, distributed tracing, and structured logging. - Experience reviewing infrastructure or deployment code generated through Claude Code, Codex, Cursor, or similar AI tools. - Experience improving engineering platforms for teams releasing daily or near-daily. What Success Looks Like During the initial engagement, this person will: - Produce a clear assessment of the current infrastructure, deployment risks, and release blockers. - Establish reliable CI/CD and environment-management standards. - Improve monitoring across the core quote-to-invoice workflow. - Make deployments smaller, repeatable, observable, and safely reversible. - Strengthen production readiness for the AI-converted React, Node.js, and PostgreSQL platform. - Reduce instability associated with Babelfish, database connections, asynchronous workloads, and legacy-modern coexistence. - Create practical operational documentation the engineering team can maintain after the engagement. Engagement Details - Remote, part-time contract - Approximately 20 hours per week - Regular overlap with the US-based team required - Initial focus on release readiness and platform stabilization, followed by modernization, scalability, and support for AI-enabled product capabilities

Наблюдалась 2026-10-07, впервые 2026-10-06, источник — Indeed.

Открыть у работодателя