Software Engineer 1 - Cloud Infrastructure

The Platform & Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design, build, and operate the core compute and business-critical infrastructure services that form the foundation of Abnormal’s product platform. What you will do

• Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure)
• Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning.
• Drive design collaboration by participating in technical discussions and providing constructive reviews
• Contribute as a core member of an agile team with a strong sense of ownership and teamwork.
• Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions.
• Participate in an on-call rotation with a learning-oriented mindset, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements.
• Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both.
• Use AI as a primary way to explore, design, and ship solutions, and automate repetitive work and operational toil. Improve team and system context (docs, runbooks, AI skills) so AI-assisted work gets better for everyone.

• Bachelor’s degree in Computer Science or a related technical field
• 1-2 years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security and cost.
• 1+ years of experience with Python
• 6 months - 1 year of experience with at least 2 of these areas: Terraform, AWS (or equivalent public cloud provider services), Kubernetes.
• Experience working within mature software development practices, including source control, testing, and deployment.
• Experience with on-call rotations, incident response, and operating production-grade systems
• Experience using AI coding tools (e.g., Claude Code, Codex) in daily engineering work, with the judgment to validate, simplify, and reject AI-generated output that doesn’t hold up in production.
• Strong communication skills and the ability to thrive in a fast-paced, remote-first environment-balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset.

Nice to Haves

• Experience with Bash, Golang, and Terragrunt.
• Prior experience building large-scale infrastructure-as-code abstractions.
• AWS certifications., Field-based sales role responsible for expanding SOPHiA GENETICS’ genomic solutions across Washington, Oregon, and Northern California. Develop new business, build relationships with oncologists, pathology teams, laboratories, and senior decision-makers, explain genomic testing value, address clinical and technical questions with subject-matter experts, and convert opportunities into bookings. Candidates need oncology or molecular diagnostics sales experience and knowledge of genomic biomarkers and treatment decision-making., Leads the design and development of software solutions, resolves complex technical problems, and provides guidance to engineering colleagues. Responsibilities include preparing technical documentation, reviewing code and testing, applying modern development methodologies, and supporting business initiatives. The role typically requires a bachelor’s degree and at least three years of relevant experience. Preferred skills include Agile, cloud computing, DevOps, requirements analysis, system design, and project management.

Design, build, operate, and scale secure, reliable, cost-efficient cloud infrastructure across AWS and Azure. Develop infrastructure as code, support Kubernetes and microservice environments, collaborate with engineering teams, participate in on-call and incident response, automate operational toil, reduce technical debt, and improve platform reliability using AI-assisted development tools. The summary above was generated by AI, 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: $122,400-$176,000 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., 75K-150K Annually Mid level 75K-150K Annually Mid level Machine Learning * Payments * Security * Software * Financial Services Manages the lifecycle of less complex merchant services products and initiatives, including product selection, design, development, pricing, promotion, rollout, and performance analysis. Builds business cases, evaluates market and technology trends, collaborates with sales, marketing, digital, and external partners, and supports risk, compliance, and audit activities. Uses customer insights and business results to recommend product improvements.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Abnormal AI is an AI-native behavioral security platform that protects enterprises from advanced threats by analyzing and understanding communication patterns and access behavior at scale. We now protect more than 25% of the Fortune 500, and as we expand into new product lines and geographies, a scalable, reliable infrastructure foundation is critical to our next phase of growth.