Sr. Software Engineer, Falcon NG-SIEM, FrontTier Expansions (Hybrid)

Description

The company has focused on stopping breaches since 2011, and its AI-native platform handles almost 3 trillion events per day, with that volume growing daily.

Customers span every industry and depend on the company to keep their operations running and communities safe.

The company uses AI across its work and expects staff to adopt it responsibly, test new ideas and improve how things get done.

The FrontTier Expansions team makes LogScale fleets run reliably on AWS, GCP, OCI and company-managed datacenters, wherever customers need them.

The team builds systems that ingest over 100 PB of event data daily, keep data for a decade, serve millions of queries per hour and support thousands of customers worldwide.

Responsibilities

• Own core services and libraries that let LogScale run across AWS, GCP, OCI and on-prem datacenters.
• Lead technical design for version upgrades, patch rollouts and configuration management that keep customer impact low.
• Build automation tools and microservices that standardize provisioning, upgrades and scaling across cloud providers.
• Plan capacity, forecast workloads and design dynamic scaling across different cloud environments.
• Build and extend observability tools for tracing, profiling, alerting and SLO frameworks that show fleet health.
• Build security in from the start, including authentication, authorization, encryption and audit logging that meet industry standards and compliance rules.
• Apply GitOps and DevSecOps practices within CI/CD pipelines.
• Work on shared libraries and frameworks used across the wider NG-SIEM/LogScale platform.
• Serve as technical lead and liaison between FrontTier Expansions and internal stakeholders.
• Design, deploy and troubleshoot services on Kubernetes clusters, both managed and self-managed.
• Take part in a global on-call rotation for production infrastructure.
• Mentor engineers in distributed systems, cloud architecture and engineering practice, and raise the team's technical bar.
• Keep reassessing architecture, performance and reliability as the platform expands to new clouds and customers.

Requirements

• At least 7 years of full-time experience in a service-oriented backend developer role; average experience in this role is 10-15 years.
• At least 5 recent years building microservices for a SaaS product in Go, Python or a similar object-oriented backend language.
• Strong grounding in data structures, algorithms and distributed systems.
• Hands-on work with at least one major cloud provider (AWS, GCP or OCI), plus a strong willingness and ability to pick up the others.
• Deep knowledge of distributed systems, scalability, and multi-threading and concurrency.
• Experience designing microservices, automation tools or infrastructure-as-code for production systems.
• Experience deploying, running and debugging production applications on Kubernetes.
• Experience with configuration management or IaC tools such as Chef, Ansible, Terraform or similar.
• Experience with CI/CD tools such as Jenkins, Git, Artifactory, Bitbucket or similar.
• Solid grasp of networking, including VPCs, load balancers and DNS.
• Understanding of security-first design: authentication, authorization, encryption and audit logging.
• Thorough command of engineering practice: testing, code review and resilient architecture.
• Proven record of mentoring engineers and raising a team's technical bar.
• Strong communication and proven ability to work with distributed, cross-functional teams across time zones.
• Self-starter who owns problems end to end and drives them to resolution.
• Available for an on-call rotation.
• Proven experience using AI technologies to improve decision-making, streamline workflows and processes, raise efficiency and drive business outcomes.
• Bonus: expert-level Go, or experience across several cloud platforms (AWS, GCP, OCI, Azure).
• Bonus: LogScale/Humio, Kafka or other distributed streaming and log management systems.
• Bonus: data lake or lakehouse architecture, or data federation at scale.
• Bonus: Kubernetes operator or Helm development, or CKA, CKAD or CKS certification.
• Bonus: SRE practice (SLOs, error budgets) and observability tools such as Prometheus, Grafana or Datadog.
• Bonus: cloud certifications (AWS, GCP or OCI) and FinOps or cost optimization experience.
• Bonus: open source contributions and effective use of AI coding assistants.
• Bonus: computer science degree or equivalent experience, and a cybersecurity or SIEM background.

Conditions

Hybrid role: 2-3 days per week on-site at the Austin, TX office.

Base salary range for U.S. candidates is $140,000-$220,000 per year, set by factors such as experience, skills, certifications, job level, supervisory status and location.

Right to work rules apply to this role, as set out in the posting.

Requisition code: LI-SS1.

Equal opportunity employer that runs an affirmative action program for veterans and people with disabilities, and bases employment decisions on valid job requirements.

Benefits

• Market-leading compensation and equity awards, with eligibility for bonuses and equity grants.
• Comprehensive benefits package that includes health insurance, 401k and paid time off.
• Physical and mental wellness programs.
• Competitive vacation and holidays.
• Paid parental and adoption leave.
• Professional development open to all employees, regardless of level or role.
• Employee networks, local neighborhood groups and volunteer opportunities.
• Office with world-class amenities.
• Certified as a Great Place to Work across the globe.