Senior Software Engineer (Platform, Reliability and Product Engineering)

Location: Deerfield, Florida, United States; remote work is permitted only with the ability to go onsite for trainings. All work must be performed from within the United States; work from outside the US is not permitted without written approval. Candidates must be legally authorized to work in the United States.

Salary: $150,000–$175,000 per annum.

Company

hirify.global is partnering with a forensic laboratory and forensic software company whose LIMS supports casework, chain of custody, evidence tracking, reporting, access control, auditability, instrument and file integration, and customer-facing services.

What you will do

• Design, develop, test, maintain, and troubleshoot production application code and platform services.
• Design, operate, and document Azure cloud, government/public-sector cloud, on-premise, and hybrid infrastructure.
• Own CI/CD pipelines, infrastructure provisioning, environment promotion, release gates, rollback workflows, and deployment verification.
• Build monitoring, alerting, logging, uptime checks, capacity dashboards, incident runbooks, service-level objectives, and operational readiness processes.
• Perform root cause analysis for outages, performance issues, backup and deployment failures, security findings, and environment drift; participate in on-call coverage.
• Implement least-privilege, secrets, encryption, network, patching, logging, backup, audit-readiness, and compliance controls for forensic systems.

Requirements

• 6+ years of experience in full-stack engineering, DevOps, SRE, systems engineering, platform engineering, cloud operations, or a closely related field.
• Strong software engineering experience reading, debugging, modifying, and maintaining production application code.
• Hands-on Linux administration covering systemd, networking, permissions, logs, patching, shell scripting, TLS, certificates, and operational troubleshooting.
• Production cloud experience with Azure, AWS, or an equivalent platform; Azure experience is strongly preferred.
• Experience with CI/CD, Git workflows, infrastructure as code, environment promotion, rollback planning, monitoring, alerting, and incident response.
• Strong scripting or software engineering skills in Bash, Python, JavaScript/TypeScript, Go, or similar.
• Experience documenting troubleshooting steps, knowledge-base articles, support tickets, defects, communications, or technical guides.
• Legally authorized to work in the United States and able to perform all work from within the United States.
• Able to participate in incident response and work in an audit-ready environment where documentation, traceability, confidentiality, and evidence integrity matter; support for public-sector, law-enforcement, or forensic laboratory customers is required.
• Any offer is subject to successful background screening and signing confidentiality, acceptable-use, information-security, and intellectual-property agreements. Customer-required onboarding, training, access controls, security policies, and incident-reporting procedures must be followed.

Nice to have

• Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, Bioinformatics, or a related STEM field.
• Experience with Azure App Service, Application Gateway/WAF, Key Vault, managed identities, virtual networks, Azure Storage, Azure Monitor/Log Analytics, Linux VMs, and private networking.
• Experience with MongoDB, Node, React, object storage, MinIO or S3-style storage, GitLab CI/CD, Terraform/Bicep, Ansible, Docker, containers, and Proxmox or VMware-style virtualization.
• Experience in regulated, forensic, healthcare, government, public safety, legal, laboratory, or CJIS-adjacent environments.
• Experience building disaster recovery, backup and restore validation, deployment checklists, post-incident reviews, and customer-facing uptime practices.
• Azure, security, AWS, Kubernetes, or Linux certifications, or equivalent practical experience.

Culture & Benefits

• Permanent position with remote work available subject to onsite training attendance.
• Work involves confidential forensic data, customer information, regulated security processes, and privileged production access.
• Expectations include disciplined documentation, controlled change management, least-privilege access, secure handling of secrets and customer data, and immediate escalation of security or data-exposure risks.
• Inclusive accessibility and diversity, equity, and inclusion commitments support adjustments during the application or interview process.