DevOps Team Lead at hdjm

Description

The DevOps Team Lead at the AWS cloud platform manages and operates a multi-account cloud environment, focusing on automation, security, and reliability. This role involves translating product needs into infrastructure requirements, guiding team delivery, and ensuring efficient, secure, and cost-effective operations. The leader will balance hands-on engineering tasks like designing and building Infrastructure-as-Code estates and optimizing CI/CD pipelines with technical leadership responsibilities, including setting engineering standards, refining backlogs, strengthening platform reliability, and participating in incident response.

Required Skills

Software Engineering
Infrastructures
DevOps
Terraform
IaC
AWS
CI/CD Pipelines
Containerized Workloads
Distributed Production Workloads
Scripting Proficiency
Agile/Scrum Practices

Additional Information

Required Previous Experiences: Extensive experience in software engineering, infrastructure, or DevOps, with demonstrated experience operating at a senior or technical lead level in complex cloud environments.
Expert-level, current hands-on experience with Terraform or equivalent Infrastructure as Code, including managing large-scale cloud environments through IaC.
Experience with IaC at scale, including reusable module design and versioning, state architecture, safe refactoring, upgrades, drift detection and remediation, and bringing legacy infrastructure under IaC management.
Deep hands-on AWS experience across compute, storage, networking, IAM, and security, ideally within a multi-account AWS Organization.
Proven ownership of infrastructure CI/CD pipelines, including automated policy, validation, and security controls.
Experience designing and operating containerized or distributed production workloads with appropriate networking, security, and observability.
Scripting proficiency and a track record of automating operational work.
Demonstrated ownership of production operations, including on-call, incident response, runbook development, and the ability to independently troubleshoot and resolve platform issues.
Experience leading Agile/Scrum practices, including backlog ownership, refinement, estimation, planning, and stakeholder negotiation.
Strong ability to turn ambiguous needs into thorough, actionable technical plans that account for requirements, dependencies, risks, milestones, and estimates.
Strong understanding of cloud security, compliance, and risk management, including least privilege, zero trust, encryption, and appropriate exception management.
Excellent written communication, documentation, and stakeholder engagement skills.
A self-directed, collaborative approach with a focus on improving systems rather than repeatedly working around problems.
Willingness and ability to participate in a rotating night and weekend on-call schedule and independently manage production incidents while on call.
Preferred Qualifications: Microsoft Azure experience, particularly Azure Cloud Adoption Framework concepts, landing zones, governance, policy, cost management, and IaC tooling.
Experience operating globally distributed or multi-region applications, including data replication, global routing, failover, data residency, and regional compliance considerations.
Experience with monorepo IaC environments, policy-as-code, IaC security tooling, or automated code-quality platforms.
FinOps experience, including tagging-based cost allocation, commitment planning, anomaly detection, and multi-region cost analysis.
SRE practices, including SLOs, error budgets, observability, and structured incident management.
Experience supporting analytics, data engineering, database, or integration workloads as a platform provider.
AWS certification such as Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty.
Experience with hybrid connectivity to on-premises environments or improving software development lifecycle practices.
Experience provisioning or operating infrastructure for AI/ML platforms, including model serving, vector stores, accelerated compute, or supporting data pipelines.

About hdjm

hdjm

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