Senior DevOps Engineer

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Responsibilities

Design, implement, and maintain secure, reliable, and scalable cloud infrastructure; Build and improve CI/CD pipelines that support frequent, repeatable, and low-risk deployments; Automate infrastructure provisioning, configuration, deployment, and environment management; Maintain infrastructure as code using tools such as Terraform, CloudFormation, Pulumi, or comparable technologies; Improve consistency across development, testing, staging, and production environments; Build and maintain containerized application environments and orchestration capabilities; Implement and improve monitoring, logging, tracing, alerting, dashboards, and production-health reporting; Partner with engineers to establish SLIs, SLOs, and actionable operational metrics; Improve application and infrastructure resiliency, scalability, availability, and disaster recovery readiness; Manage secrets, certificates, identity, permissions, network controls, and cloud security configurations; Support vulnerability management, dependency security, patching, and infrastructure hardening; Improve deployment strategies including automated rollback, blue-green deployment, canary releases; Diagnose and resolve production incidents involving infrastructure, networking, application deployment, performance, capacity, or cloud services; Participate in incident response, post-incident reviews, root-cause analysis, and corrective-action planning; Reduce cloud waste and improve infrastructure cost visibility; Build self-service tools and reusable deployment patterns for application engineering teams; Document infrastructure architecture, operational procedures, recovery processes, and troubleshooting guidance; Participate in production support and an appropriate on-call rotation; Use AI-assisted engineering tools to accelerate scripting, troubleshooting, documentation, and infrastructure analysis

Requirements

Approximately 5+ years of experience in DevOps, SRE, Cloud Engineering, Platform Engineering, or closely related role; Strong experience operating production workloads in AWS; Strong hands-on experience with infrastructure as code (Terraform, CloudFormation, Pulumi); Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI, AWS CodePipeline); Strong knowledge of Docker and containerized application delivery; Experience with Kubernetes, Amazon ECS, or another container orchestration platform; Strong understanding of cloud networking (VPCs, subnets, routing, load balancers, DNS, firewalls, gateways, private connectivity); Experience with cloud IAM, role-based access, least-privilege design, and secrets management; Experience implementing logging, metrics, dashboards, alerts, and distributed tracing; Familiarity with observability platforms (Datadog, New Relic, Grafana, Prometheus, CloudWatch, OpenTelemetry); Strong Linux and command-line skills; Scripting experience with Python, Bash, JavaScript, or comparable language; Understanding of application deployment patterns for modern web applications, APIs, background workers, and event-driven systems; Experience supporting relational databases, backups, restore processes, high availability; Knowledge of incident-management practices, root-cause analysis, capacity planning, and production-readiness reviews; Working knowledge of cloud security, vulnerability remediation, encryption, certificates, key management, and compliance-oriented controls

Nice to have

Experience supporting a multi-tenant SaaS platform; Experience with serverless infrastructure and event-driven cloud services; Experience with PostgreSQL and managed database services; Experience with CDNs, media delivery, large-file processing, video workloads, or storage-intensive applications; Experience with security and compliance frameworks relevant to enterprise SaaS; Experience building internal developer platforms or self-service engineering capabilities; Experience with automated performance, resilience, chaos, or disaster-recovery testing; Experience improving cloud cost allocation, forecasting, and optimization; Experience supporting globally distributed engineering teams

Benefits

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation; Be part of a global team with equal opportunities for collaboration across continents and cultures; Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards