Abnormal Security Logo

Abnormal Security

Software Engineer 2 - Development Infrastructure

Posted 18 Hours Ago
Remote
Hiring Remotely in USA
149K-215K Annually
Mid level
Remote
Hiring Remotely in USA
149K-215K Annually
Mid level
Design and deliver development infrastructure systems, maintain CI/CD tools and pipelines, improve GitHub Actions, Docker images, and deployment workflows, and resolve complex on-call issues. The role involves cloud-native engineering, distributed systems, containerization, microservices, generative AI workflows, code reviews, planning, and coaching other engineers.
The summary above was generated by AI
About the Role

Abnormal AI empowers businesses of all sizes to combat cybercrime through our innovative cloud products. To achieve our mission, we're building a suite of interconnected security solutions on a unified platform, designed to operate flawlessly in global data centers.

The Development Infrastructure team plays a critical role in multiplying the impact of our product teams. We create an environment that fosters high-quality software development, and engineering excellence. This team has become instrumental in the success of our engineering organization.

You are someone who:

  • Thrives in a collaborative, fast-paced environment
  • Possesses a passion for helping others build world-class systems
  • Demonstrates exceptional teamwork skills
  • Embraces continuous learning and enjoys tackling complex problems
What you will do
  • Lead the design and delivery of complex, multi-component features and systems of the Development Infrastructure team's offerings, and shape the roadmap for this area.
  • Develop and maintain CI/CD infrastructure and tools for Engineering to develop and ship their changes reliably with less effort.
  • Design and implement enhancements to GHA infrastructure, base Docker images and build/deploy pipelines with improvements in scalability, performance and costs.
  • Use AI tools to explore and compare solutions, and adapt the generated changes to real production constraints, weighing system complexity and long-term maintainability.
  • Take ownership of on-call issues, including complex issues where the root cause is unclear, and fix the systemic gaps behind them.
  • Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.
Must Haves
  • 3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.
  • 2+ years of experience working with Python.
  • Experience delivering complex projects end-to-end in a cloud native environment.
  • Experience building or operating CI/CD, build, or deployment systems in production, including on-call and incident response.
  • Understanding of distributed systems, containerization and microservices.
  • Practical experience using Generative AI tools in day-to-day engineering workflows.
Nice to Haves
  • Experience creating and maintaining CI/CD systems.
  • Experience with GitHub Actions.
  • Experience with Go.
  • Experience with Bazel.
  • Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience”, “Development Infrastructure” or similar.
  • Knowledge of Docker, Kubernetes, or similar technologies.
  • Familiarity with Generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.

#LI-ML1

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Base salary range:
$149,200—$214,500 USD

A note on AI in our process: 
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Similar Jobs

An Hour Ago
Remote or Hybrid
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.
Top Skills: AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchVectordbs
An Hour Ago
Remote or Hybrid
245K-335K Annually
Expert/Leader
245K-335K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science for consumer and developer experiences, partnering with engineers and product managers to deliver customer-focused products. Builds, evaluates, validates, and deploys machine learning models using large-scale numerical and textual data. Applies statistical modeling, A/B testing, clustering, classification, sentiment analysis, time series, and deep learning while translating technical insights into business outcomes. The role also includes team leadership, talent development, and evaluating emerging AI and cloud technologies.
Top Skills: SparkAWSCondaGenerative AiH2OMachine LearningPythonRRelational DatabasesScala
An Hour Ago
In-Office or Remote
292K-439K Annually
Senior level
292K-439K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads population health strategy, clinical innovation, care-model design, and evidence-based program development. Uses clinical, claims, and utilization data to identify intervention opportunities and evaluates products, partnerships, clinical guidelines, and care programs. Represents clinical perspectives with providers, health systems, clients, and executives while developing clinical talent. Requires an active medical license, board certification, clinical leadership, clinical practice, population health experience, strong analytics, and communication skills.

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account