Senior/Staff Platform Engineer

Openkrill; United States; Remoto; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Openkrill is seeking a Senior/Staff Platform Engineer to build, operate, and evolve large-scale production infrastructure. This hands-on role focuses on Kubernetes and cloud infrastructure, translating complex problems into reliable systems.

You will own platform-level concerns, write automation in Go/Python/Java, and drive reliability across hybrid/cloud environments. This is a highly autonomous remote role with Pacific Hours.

Competenze

• 10+ years in Platform/SRE/DevOps or related fields; Staff level preferred.
• Deep experience operating production Kubernetes platforms end-to-end.
• Production coding in Go, Python, or Java and strong incident response skills.

Mansioni

• Design, build, operate, and improve production Kubernetes platforms.
• Own cluster architecture, networking, isolation, security, and upgrades.
• Troubleshoot Kubernetes beyond application layer; diagnose complex infra issues.
• Operate large-scale cloud/hybrid infrastructure across environments.
• Develop automation to improve platform reliability and developer experience.
• Lead incident response and drive durable remediation with postmortems.

Conoscenze

Leadership

Incident response

Root cause analysis

Autonomy

Communication with stakeholders

Linux fundamentals

Problem solving

Formazione

Bachelor's in CS/Engineering or related field

Strumenti

Kubernetes

Terraform

Docker

CI/CD tooling

Ansible

Prometheus/Grafana/OpenTelemetry

Datadog

Descrizione del lavoro

Senior/ Staff Platform EngineerType: RemoteCoverage: Pacific Hours (8:00 AM – 5:00 PM PST and On-call every 4-5 weeks)Job Description:We are looking for a Senior/Staff Platform Engineer to build, operate, and evolve large-scale production infrastructure. This is a hands‑on platform and reliability engineering role for someone who has deep experience operating Kubernetes and cloud infrastructure, troubleshooting complex production systems, and building the automation and tooling that keeps those systems reliable.The work spans Kubernetes, Linux, cloud infrastructure, networking, observability, CI/CD, reliability, and production operations. You will write production code and automation in Go, Python, or Java, but this is not primarily a software development role. We are looking for an engineer who understands the systems underneath the applications and can independently diagnose and solve infrastructure problems across multiple layers.This is a highly autonomous role. You will work directly with technical stakeholders, own ambiguous infrastructure initiatives from design through production, and be trusted to drive technical decisions and critical issues without requiring constant direction.

Key Responsibilities

• - Design, build, operate, and improve production Kubernetes platforms.
• - Own platform-level concerns including cluster architecture, networking, workload isolation, resource management, security, upgrades, scaling, and reliability.
• - Troubleshoot Kubernetes beyond the application layer, including networking/CNI, scheduling, node behaviour, resource constraints, controllers, and cluster-level failures.
• - Operate and improve large‑scale, highly available infrastructure across cloud, hybrid, virtualised, and/or bare‑metal environments.
• - Diagnose complex issues spanning Kubernetes, containers, Linux, networking, and underlying infrastructure.
• - Optimise platform infrastructure for reliability, performance, scalability, and operational efficiency.

Software Development and Automation

• - Write, maintain, and improve production tooling and automation using Go, Python, or Java.
• - Build software and automation that improves platform operations, reliability, deployment, troubleshooting, and developer experience.
• - Read, debug, and contribute to existing production codebases.
• - Develop internal services, APIs, integrations, and operational tooling where needed.
• - Automate repetitive operational processes and reduce manual intervention across the platform.
• - Apply sound software engineering practices, including testing, code review, maintainability, and documentation.

Reliability and Production Operations

• - Own the reliability and operational health of critical production infrastructure.
• - Lead or contribute significantly to incident response for complex platform and infrastructure issues.
• - Investigate root causes and implement durable remediation rather than temporary fixes.
• - Define and improve SLOs, SLIs, alerting, and operational processes.
• - Troubleshoot systems using logs, metrics, traces, profiling tools, and system‑level diagnostics.
• - Drive improvements in availability, performance, capacity, resilience, and operational readiness.
• - Contribute to disaster recovery planning, testing, and continuous improvement.

Infrastructure as Code and Delivery

• - Build and maintain infrastructure as code using Terraform and related automation technologies.
• - Create reusable infrastructure patterns and improve automation as the platform evolves.
• - Build and improve CI/CD and deployment workflows supporting large-scale engineering environments.
• - Balance delivery speed with reliability, security, scalability, and operational requirements.
• - Work across infrastructure provisioning, configuration management, deployment automation, and production operations.
• - Participate in planning and executing production cloud or infrastructure migrations, including dependency analysis, networking, cutover, rollback, and production validation.

Observability

• - Build and maintain production monitoring, metrics, dashboards, alerting, logging, and distributed tracing.
• - Improve observability so engineers can identify and diagnose failures quickly.
• - Use production telemetry to identify reliability, capacity, and performance problems before they become major incidents.
• - Continuously improve incident detection and reduce time to diagnosis and recovery.

Collaboration and Technical leadership

• - Work directly with customer and internal engineering teams to understand requirements, investigate problems, and drive technical solutions.
• - Communicate architecture, technical decisions, risks, trade‑offs, and progress clearly to technical stakeholders.
• - Own complex infrastructure initiatives from initial problem definition through design, implementation, and production operation.
• - Contribute to architecture discussions, RFCs, design reviews, and technical direction.
• - Mentor other engineers and help improve engineering and operational practices across the team.
• - Operate independently in ambiguous situations and take ownership when immediate technical or management direction is unavailable.

Qualifications:Education and Experience

• - 10+ years of professional experience in Platform Engineering, Site Reliability Engineering, Infrastructure Engineering, DevOps, or related fields; 10+ years is preferred for Staff-level candidates.
• - Significant hands‑on experience operating complex production infrastructure and distributed systems.
• - Demonstrated experience building and operating production Kubernetes platforms, not only deploying applications onto existing clusters.
• - Production programming experience with Go, Python, or Java.
• - Strong experience with production reliability, incident response, troubleshooting, and operational ownership.
• - Experience independently owning complex technical initiatives from an ambiguous starting point through production.
• - Experience working directly with technical stakeholders or customers and communicating complex technical topics effectively.
• - Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Technical Skills

• - Deep understanding of production Kubernetes infrastructure, including cluster architecture, networking/CNI, NetworkPolicy, scheduling, resource management, nodes, security/RBAC, and cluster behaviour.
• - Strong Linux fundamentals and hands‑on production systems troubleshooting.
• - Strong understanding of networking concepts including DNS, routing, load balancing, connectivity, and cloud/Kubernetes networking.
• - Production experience with at least one major cloud platform: AWS, GCP, or Alicloud.
• - Infrastructure as code at scale using Terraform or equivalent tooling.
• - Configuration management and automation experience with technologies such as Ansible, Puppet, or similar.
• - Strong production debugging and root‑cause analysis skills across infrastructure and distributed systems.
• - Observability experience using metrics, logs, traces, dashboards, and alerting platforms such as Prometheus, Grafana, OpenTelemetry, Datadog, or equivalent.
• - Experience with CI/CD infrastructure and modern software delivery practices.
• - Docker and container tooling as part of the production lifecycle.
• - Production coding and automation experience in Go, Python, or Java.
• - Understanding of high availability, capacity planning, disaster recovery, and production resilience.

Preferred

• - Experience planning and executing production cloud or infrastructure migrations, including cutover and rollback strategies.
• - Experience operating large‑scale or multi‑cluster Kubernetes environments.
• - Experience with hybrid cloud, on‑premises, virtualised, or bare‑metal infrastructure.
• - Experience building or modifying Kubernetes controllers or operators.
• - Advanced Kubernetes networking, CNI, NetworkPolicy, service mesh, mTLS, or wo