About the Role

This position exists to develop and enhance the customer onboarding experience and set up systems owned by the Customer Journey (CJ) team, within the Multi-Product Platform (MPP) division. The role plays a critical part in helping the team deliver on its mission: making POV (Proof of Value) onboarding smoother, faster, and increasingly self-serve. You will contribute directly to the backend systems that take enterprise customers from evaluation to full deployment, and help strengthen the team’s ability to deliver reliable, automated onboarding workflows at scale.

What you will do

Abnormal AI is looking for a driven and growth‑oriented Backend Software Engineer to join the Customer Journey (CJ) team. The team builds and maintains Abnormal’s customer onboarding and tenant management systems within the Multi-Product Platform (MPP) division. As a member of the team, you will build and scale backend services, contribute to automating manual steps in the onboarding process, and help decouple downstream systems from the onboarding pipeline. You’ll work across APIs, backend services, and data workflows to solve technical challenges related to large-scale customer provisioning at scale. We’re looking for candidates who are eager to learn, excited to work collaboratively, and motivated by building systems that directly impact how customers experience Abnormal.

Must Haves

• 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving.
• 1+ years of hands-on experience in backend development using Python or Golang, with exposure to cloud-native environments.
• Solid understanding of databases, REST APIs, and data pipelines.
• Familiarity with LLMs and AI development tools such as Cursor, GitHub Copilot, or Claude.
• Experience working individually as well as in groups on a regular basis.
• Experience working with distributed teams, proficient in asynchronous and written communication.
• Experience building features and components from scratch and operating them, balancing feature development with operational tasks.

Nice to Haves

• Experience with Apache Airflow
• Familiarity with AWS services and deployment practices.
• Experience in building a feature or component from scratch

🚀 Ready to be part of AI transformation at Abnormal AI? Apply Now!

Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!

#LI-UC1

The Role

We are building a real-time threat intelligence platform from the ground up. This is a zero-to-one initiative focused on streaming critical security data to enterprise teams at scale. As an SWE-2 on this team, you won't just be executing on a roadmap, you'll be helping us find the problems that aren't on it yet. We are looking for a backend engineer with a builder mindset who thrives in an environment where they can take ownership and help define the technical path forward.

What You Will Do

• Build & Scale: Develop and maintain high-performance backend services using Python or Golang.
• Stream Real-Time Data: Build and optimize streaming architectures to handle live threat intelligence with low latency.
• Search & Indexing: Implement and tune OpenSearch/Elasticsearch layers to ensure massive datasets are searchable and actionable.
• Define the "How": Take high-level goals and translate them into technical specs and clean, maintainable code.
• Cloud Ownership: Manage your own deployments and infrastructure within AWS/EKS.
• AI-Augmented Development: Use AI tools to speed up development cycles and automate routine backend tasks.
• Collaborative Innovation: Work closely with the team to identify architectural gaps and proactively suggest improvements.

Must Haves

Nice to Have

• Frontend Basics: Familiarity with React/TypeScript for building internal tools or data visualizations.
• Security Context: An interest in cybersecurity or experience working with security data.
• Tooling: Experience using modern AI productivity tools to increase engineering velocity.

Education

Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.

About the Role

We’re looking for an Associate Technical Program Manager who excels at driving execution for AI-driven SaaS products. This is a unique yet exciting opportunity for an early-career professional to join and contribute to Abnormal's Research & Development Operating System. The creation of predictable, reliable, and standardized R&D processes is crucial for Abnormal's future strategy and success. To continue thriving in business, Abnormal is focused on developing several new products and features leveraging AI technologies. Technical Program Managers will provide a consistent framework and fabric of execution as a foundation for executing these products.

In this role, you’ll partner closely with Product and Engineering teams to architect, define, and execute systems that ensure programs run predictably, efficiently, and with high visibility.

The ideal profile thrives in an entrepreneurial environment, handling competing priorities and ambiguity with confidence. You have a growth mindset and are a quick and keen learner.  

In this job, you will bring these skills

• Project / Program Management & Organization: Excellent project manager with delivering large cross functional complex projects. Able to take complex technical requirements and translate into program plans. 
• Exceptional communicator: Able to effectively collaborate with both technical and non-technical stakeholders in both written and verbal form.
• Works well in ambiguity: Ability to be a kickstarter especially in this initial Engine building phase.
• Ownership: Goal-oriented with an ownership mentality. Ability to self-organize, pull in resources with clear expectations and drive successful outcomes
• Continuous improvement: Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better. Growth mindset and grit will be key traits to success.
• Technical Capabilities: Leverage a technical background to support engineering in technical design and gain credibility.

Role Responsibilities

• Translate complex technical requirements from Product Engineering, Platform and Infrastructure Engineering, ML Engineering, and other critical stakeholders into program plans with clearly defined milestones, owners, and deadlines
• Drive programs and manage project schedules by determining dependencies across project teams, proactively addressing risks, and reporting progress to stakeholders to ensure on-time delivery of program deliverables
• Participate in technical strategy development and resource planning with engineering and product partners
• Build strong relationships with key stakeholders to drive alignment and progress toward shared goals
• Design, establish, and iterate on best practices and repeatable processes for operational excellence, including incident management and leading post-mortem's 

Must Haves

• 1 to 3 years of overall professional experience with at least 1 year in Technical Program or Project Management
• A Bachelor's degree in Engineering or a closely related discipline
• Experience with product lifecycle management and product operations best practices
• Experience working with SaaS products like Jira, etc and understanding of SQL
• Experience working in iterative, fast-paced weekly release environments, leveraging agile and scrum processes for planning, execution, and delivery.
• Experience working with multiple stakeholders adhering to timelines and bridging gaps in the execution of roadmaps
• Curiosity for AI-first security products and a desire to understand how they reach customers successfully

Nice to Have

• Experience working with AI technologies and tools for Program Management

We are a fast growing team, and your impact will be felt immediately and opportunities for growth are abundant at our scaling company. If this all sounds like a good fit for you, why not join us?

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The Opportunity

Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built—faster, smarter, and more efficient.
We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.

What You’ll Do

• Abnormal’s engineering expectations emphasize strong judgment in using AI to explore solutions, refine outputs, and deliver reliable production outcomes.
• Leverage AI-Augmented Development to enhance productivity, optimize workflows, and automate repetitive tasks.
• Build backend services and workflows that make POV onboarding smoother, quicker, and more self-serve for customers.
• Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules.
• Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences.
• Collaborate with strong engineers and cross-functional partners to deliver impactful solutions for customers and internal teams.
• Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale.
• Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation.

Must Haves

• 3+ years of professional experience in software development.
• Backend development experience with Python and/or Golang.
• Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
• Experience or passion for building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, debugging, and performance optimization.

Nice to Have

• Experience building onboarding, provisioning, workflow orchestration, or platform automation systems.
• Familiarity with backend systems that provide process visibility, status tracking, or operational tooling.
• Experience with distributed systems, service-oriented architectures, or event-driven workflows.
• Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows.
• Experience improving service reliability, resiliency, and observability in production systems.
• Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products.

About the Role

Abnormal Security is looking for an experienced and driven Platform & Infra software engineer to join the PI team. Join us and help build the platforms that power Abnormal's growth

• Observability Platform - Own and evolve the monitoring, metrics, and alerting infrastructure that every engineering team at Abnormal depends on. You'll work across the Prometheus, Chronosphere, and Grafana stack to ensure engineers can see what their systems are doing in real time — building dashboards, managing metric pipelines at scale, operating the PagerDuty alerting pipeline, and driving cost-efficient observability across all production environments (US, EU, and GovCloud).

  Your Impact

• Own the observability stack (Prometheus, Chronosphere, Grafana, PagerDuty) that every team relies on to detect, diagnose, and resolve production issues — when you make it better, every engineer at Abnormal gets faster.
• Design platforms and developer tooling that remove friction — reducing deployment times, simplifying pipeline authoring, and letting product teams focus on building rather than firefighting.
• Drive SLAs and SLOs for critical shared infrastructure ensuring the systems behind our products are resilient and cost-efficient.
•  Your architectural decisions on alerting pipelines and cross-environment deployments will define what products we can build and how quickly we deliver them to customers.

What you will do 

• Work with the Tech Lead, Engineering Manager, and Product Manager to design, develop, and deliver key platform features — from technical design docs through production rollout
• Own features end-to-end: scoping, implementation, testing, deployment, and post-launch monitoring across multiple environments (US, EU, GovCloud)
• Take ownership of 1-3 key services within Observability (Prometheus, Chronosphere, Grafana, PagerDuty pipeline) or Data Infra (Airflow, Spark) and be accountable for their reliability, performance, and evolution
• Participate in on-call rotations — triage, diagnose, and resolve production issues independently, building deep operational knowledge of the systems you own
• Improve system resilience by converting runbooks into automated solutions, refining SLAs/SLOs, and proactively identifying performance bottlenecks and failure modes
• Assume ownership of the reliability of everything you build, including comprehensive unit tests, integration testing, and observability instrumentation
• Build platforms, tooling, and APIs that make it easier for other engineering teams to ship — whether that's faster pipeline deployments, better dashboards, or simpler alerting configuration
• Partner with internal customers (product and engineering teams) to understand their needs and translate them into scalable platform capabilities
• Communicate effectively in an async-first, distributed environment — proactively providing updates, discussing challenges, and proposing solutions without prompting
• Mentor junior engineers on the team, helping them ramp up on service operations and development practices
• Raise the bar of engineering excellence through code reviews, knowledge sharing, design discussions, and contributing to team best practices

Must Haves 

• Backend Engineering & Distributed Systems (4+ years)
• 4+ years of hands-on backend engineering experience designing, building, and operating production-grade distributed systems
• Strong proficiency in Python — the primary language for Airflow DAGs, platform services, and automation tooling
• Working proficiency in Golang — used for high-performance infrastructure components, metric pipelines, and platform services
• Experience building systems that process data at scale — whether metric ingestion pipelines, stream/batch processing, or high-throughput API services
• Demonstrated experience owning a service or platform end-to-end — from technical design through production deployment, monitoring, and iteration
• Comfortable balancing feature development with operational responsibilities: you've shipped features and kept them running reliably at scale
• Experience writing technical design documents that articulate trade-offs, propose solutions, and get buy-in from peers and tech leads
• Track record of breaking down ambiguous problems into concrete, deliverable milestones
• Experience with fault tolerance patterns — retries, circuit breakers, graceful degradation, backpressure — and knowing when to apply each
• Proven incident response capability: you've been on-call, diagnosed production issues under pressure, and driven them to resolution
• Strong testing discipline — unit tests, integration tests, and an understanding of what to test and how to keep test suites maintainable
• Ability to design systems with a forward-looking perspective — thinking about how your architecture handles 10x growth, multi-region deployment, and evolving requirements
• Ability to contribute to and influence cross-team technical direction — you're not just implementing specs, you're shaping the solution
• Async-first communication excellence — strong written communication skills for design docs, Slack discussions, PR reviews, and status updates across time zones
• Proactive communicator — you surface blockers early, share con
• Solid understanding of monitoring, alerting, and observability principles — you've instrumented services, set up dashboards, defined SLIs/SLOs, or triaged production incidents using metrics and logs

Nice to Have 

• Hands-on experience with Prometheus — PromQL queries, recording rules, alerting rules, relabeling configs, and understanding metric cardinality challenges at scale
• Experience with Grafana — building dashboards, templating, managing datasources, and creating meaningful visualizations for operational and business metrics
• Familiarity with commercial observability platforms like Chronosphere, Datadog, New Relic, or Honeycomb — understanding trade-offs between self-hosted and managed solutions
• Experience designing or operating an alerting pipeline — PagerDuty, OpsGenie, or similar — including alert routing, escalation policies, and reducing noise/alert fatigue

Cloud Infrastructure & Kubernetes

• Familiarity with AWS services — EC2, ECS, EKS, S3, RDS, IAM, CloudWatch, Lambda, SQS/SNS — and understanding how to architect cost-effective, secure cloud infrastructure
• Experience with Kubernetes (K8s) — deploying and operating workloads, understanding pods/services/deployments, Helm charts, and debugging cluster-level issues
• Exposure to Infrastructure-as-Code tools — Terraform, Pulumi, or CloudFormation — and understanding the value of declarative infrastructure management
• Experience with CI/CD pipelines — GitHub Actions, Jenkins, or similar — and optimizing build/deploy times for platform services

Programming & Framework

• Experience with Django or similar Python web frameworks — building APIs, managing migrations, and understanding ORM performance characteristics
• Familiarity with gRPC or protobuf for inter-service communication in a microservices architecture

Technical Leadership & Platform Thinking

• Experience leading a small team (2-4 engineers) to build a feature or component from scratch — scoping, task breakdown, code reviews, and delivery management
• Experience building internal developer platforms or tooling — CLIs, SDKs, self-service portals, or automation that improved developer productivity
• Track record of reducing operational toil — automating runbooks
  
  
  

About the Role

At Abnormal Security, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats.

The MPP organization in Abnormal Security owns the product platform which enables scalable product development to support the business to create and launch various enterprise-level products for the customers with consistent experience. We are looking for a Sr Software Engineer who will be a feature lead for the Customer Journey (CJ) team, which is focused on optimizing how customers onboard and start using Abnormal’s products. You'll help build systems that streamline the onboarding and proof-of-value (POV) experience, reducing manual steps and accelerating time-to-value. This role involves full-stack development, close collaboration with cross-functional teams, and the opportunity to directly impact customer experience from day one.

What You’ll Do

1. Technical Delivery & Operational Excellence
1. Build and iterate on product offerings, APIs, platforms, frameworks and tools.
2. Responsible for designing, developing, and maintaining feature buildouts to support a world-class user experience for our customers.
3. Ensure system stability and reliability of your crafted work.
4. Participate in regular code and design reviews as well as team-wide on-call rotation.
5. Write code with testability, readability, edge cases, and errors in mind.
6. Write and review technical design documents.
2. Teamwork & Collaboration
1. Communicate effectively in Async manner with team members to provide updates, discuss challenges and propose solutions.
2. Collaborate closely with product managers, designers, and engineers.
3. Take ownership of projects and is a driver who adds instant adrenaline and drives positive impact when placed on projects and teams.
4. Participate in team roadmap discussions & (good to have) proposing long term plans.
5. Actively contribute to knowledge sharing within the team and participate in professional development activities.

  Must have Skills

• Experienced Sr Software Engineer having 7+ years of industry experience with strong software engineering fundamentals. 
• Futuristic, ability to look at the bigger picture, growing system needs.  
• Growth-oriented, looking to increase impact, responsibility, and ownership over time
• Proven ability to own and drive complex systems end-to-end, with strong knowledge of team-owned services and the ability to collaborate and influence cross-team goals and roadmaps.
• Strong experience writing production Python code and working with Postgres databases.
• Solid experience in system design and building resilient, scalable applications with an emphasis on operational excellence.
• Detail driven and care about code quality, testing, and performance.
• Ability to make practical trade-offs and propose technical solutions, including writing technical design documents and leading its adoption.
• Strong understanding of service health, monitoring, fault tolerance, and incident response practices.
• Strong communication skills and proven ability to work autonomously and asynchronously with remote collaborators and stakeholders.
• Strong communication and mentorship skills to influence team-wide engineering practices.

Nice to Have Skills

• Experience with Golang and airflow orchestration.
• Familiarity with ChatGPT, Cursor and other GenAI productivity tools.

#LI-AB2

What you will do

• Architect & Scale: Design and maintain high-throughput detection systems and backend services, ensuring low latency and high reliability.
• Data Orchestration: Lead the development of robust data pipelines using Spark and Airflow to supply detection teams with high-fidelity data for ML model training and evaluation.
• Technical Leadership: Partner with Engineering Managers to define technical roadmaps, mentor junior/mid-level engineers, and drive best practices in code quality and system design.
• AI-Driven Innovation: Lead the team in adopting AI productivity initiatives, leveraging tools like Claude, OpenAI, and GitHub Copilot to accelerate the development lifecycle and automate internal workflows.
• Cross-functional Collaboration: Work closely with TPMs, Product Managers, Data Scientists, and Security Researchers to translate complex business needs into scalable technical solutions.
• Operational Excellence: Manage and optimize cloud-native infrastructure on AWS/EKS, ensuring systems are cost-effective, secure, and performant.

Must Haves

• 8+ years of professional experience: Proven track record in production-level backend development with Python or Golang.
• Data Engineering Expertise: Expert-level proficiency in building and optimizing distributed data pipelines using Spark and Airflow (or equivalent orchestration tools).
• Cloud & Infrastructure: Extensive experience managing and scaling cloud-native applications on AWS (highly preferred), GCP, or Azure, with a proven track record of hands-on container orchestration using EKS.
• Leadership & Mentorship: Experience leading technical projects, mentoring engineers, and contributing to the long-term technical strategy of a team.
• System Design: Strong ability to design complex integrations and handle significant throughput/latency challenges.
• Problem Solving: A methodical approach to performance debugging, benchmarking, and resolving bottlenecks in large-scale systems.
• Database Proficiency: Strong experience with Postgres or similar relational databases at scale.
• Education: BS in Computer Science, Applied Sciences, or a related engineering field.

Nice to Haves

• Frontend Literacy: Familiarity with React and TypeScript to assist with internal tool visualizations.
• Data Ecosystems: Experience with Databricks, Snowflake, or similar data lakehouse architectures.
• Cybersecurity Domain: Background in threat detection, network security, or fraud prevention.
• Advanced Degrees: MS in Computer Science or Electrical Engineering.

#LI-AB2

About the Role

What you will do

Must Haves

Nice to Haves

#LI-

About the Role

Abnormal AI is looking for a Staff Software Engineer to serve as the technical lead for the APAC leg of our Multi-Product Platform division. Our team owns the full customer journey — from the moment a prospect sees a demo to the day they're a fully onboarded, thriving customer — and everything in between.

At Abnormal, we keep our customers — ranging from Global 2000 organisations to small businesses — safe from complex, cutting-edge attacks that could cause financial loss and disrupt business operations. Our novel approach to email security, account takeover detection, and other use cases has made us one of the fastest-growing security companies of all time, with 15%+ of the Fortune 500 among our customers. As we cement our leadership in email security, expanding our product portfolio is the next bold chapter — and our team is at the centre of it.

Few roles let you work at this many levels simultaneously. Day to day, you will partner directly with engineering and product leaders across the R&D organisation — shaping the roadmap, making the hard architectural calls, and being the person the team looks to when the path forward isn't obvious. What you build won't live in the background: it will be the foundation that tens of thousands of users interact with, the infrastructure that powers Abnormal's growing App Store, and the self-serve experience that makes onboarding and offboarding seamless for our customers.

Beyond the technical depth, you'll operate at the intersection of product strategy, distributed systems, and international expansion — shaping how Abnormal enters new markets, serves the public sector, and reaches customers across segments. The problems are genuinely hard, the stakes are real, and the team around you is strong. If you've been looking for the role where you finally get to build at full scale — with the autonomy to architect boldly and the context to make decisions that stick — this is it.

What You Will Do

• Lead and mentor a team of 15+ engineers, raising the technical bar while helping individuals grow into the best versions of their engineering careers.
• Drive the evolution of the Abnormal customer journey as we expand into international markets, enter the public sector, and serve new market segments.
• Own and develop complex, customer-facing features that simplify the Abnormal experience for the world's largest organisations.
• Define and uphold SLAs for our systems while maintaining a high standard for operational excellence — reliability is not optional at our scale.
• Partner with internal stakeholders and external customers to gather feedback and iterate quickly, turning insight into shipped product.
• Shape a team culture that engineers are proud to be part of, and a hiring process that leaves candidates with a positive impression of Abnormal — regardless of outcome.

This is a leadership role. You will contribute both code and guidance — you are accountable for delivering great solutions and for improving the team around you.

Must Haves

• 8+ years of experience designing and building web and distributed applications, deployed across multiple data centres.
• 2+ years at staff level, with a track record of working across teams, mentoring senior engineers, and delivering high-impact outcomes.
• Demonstrated experience leading multi-quarter, customer-facing projects from inception through to stable, high-quality operation.
• Strong experience collaborating across multiple cross-functional teams (Engineering, Product, Design, and beyond).
• Deep, well-formed opinions on technical excellence — spanning design, development, code quality, testing, debugging, and production operations.
• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.

Nice to Have

• Experience in cybersecurity or security-adjacent products.
• Background at enterprise-level SaaS companies.
• Familiarity with our stack: Python / Go, TypeScript, React / Redux, AWS, Kubernetes.

Why Abnormal

Abnormal AI is a mission-driven company at an inflection point. We're not just adding features — we're expanding the frontier of what enterprise security looks like, and doing it at the speed the threat landscape demands. You'll work with people who care deeply about craft, take ownership seriously, and believe that great engineering and great security are inseparable.

#LI-AB2

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

About the Role

The Inbound Data Team (IDT) owns the integrations and data ingestion systems that make critical signals available that powers multiple downstream products and related detection/remediation services. SaaS integrations extend coverage beyond email to provide cross-platform visibility into user behavior and centralize compromised account detection and remediation across identity, collaboration, and cloud infrastructure applications. This product line (and the downstream consumers it supports) is one of Abnormal’s biggest strategic bets and will drive significant company growth over the next several years. IDT’s work is foundational: by delivering reliable, timely, and contextual data, the team enables downstream detection systems, ML models, and remediation processes to operate effectively.

We’re hiring a Senior Software Engineer (SWE3) to design, build, and operate high-scale, low-latency ingestion and data-integration systems that serve multiple product lines. This role combines hands-on backend systems work, production ownership, and mentorship responsibilities to increase reliability, reduce latency, and accelerate feature delivery across the organization.

What We’re Looking For:

• System design & communication: Excellent system-design skills and the ability to clearly communicate tradeoffs across product, ML, security, and platform teams.
• Proven production scale experience: Experience designing and operating services at very large scale (e.g., 1B+ transactions/day or equivalent high throughput).
• Backend systems expertise: Hands-on experience building production-grade backend systems (Go/Python) and services that run reliably in production.
• Distributed systems expertise: Proven track record designing and operating large-scale, low-latency distributed systems under real production load.
• Ownership & impact: A proactive engineer who takes full ownership of complex projects and drives them to measurable results.
• Detail-Oriented: You’re meticulous about code quality, testing, performance and observability, ensuring that every aspect of your work meets the highest standards.
• Growth Mindset: You’re committed to continuous learning and personal growth, leveraging opportunities to expand your skills alongside seasoned professionals in engineering, product, and design.
• Technical Proficiency: You’re comfortable with test-driven development and thrive in complex organizations where standardized interfaces and best practices are key to success.

What You’ll Do

1. Design and Development: Lead the design and development of robust, scalable, and secure backend systems using Golang, Python. You will own the delivery of end-to-end projects, from conceptual design through to deployment, ensuring that each project meets the high standards expected within the Division.
2. Ownership & Technical Leadership: Take full ownership of key deliverables within the Division’s Quarterly Roadmap and define milestones, and drive projects to successful completion.
3. Reliability & Observability: Ensure system SLOs/SLAs for latency, availability, throughput, and correctness; instrument services with tracing, metrics, dashboards, and alerts so downstream teams can rely on the data.
4. Support and On-call: Provide expert technical support, troubleshoot complex issues, and participate in on-call rotations to maintain system reliability and performance.
5. Cross-Division Leadership: Align teams around key projects, de-risk complex initiatives, and ensure seamless execution across the Division. As a Senior Engineer, you’ll be a multiplier, enhancing the capabilities of those around you.
6. Collaboration and Communication: Engage in asynchronous communication with team members to share updates, resolve challenges, and propose solutions. You’ll also participate in code reviews and system design discussions, contributing to the team’s technical excellence.
7. Continuous Learning and Improvement: Actively share your knowledge with the team and participate in professional development activities to keep your skills sharp and relevant.

Must Have Skills

• 6+ years of industry experience as a Backend Software Engineer, with demonstrated impact building and operating production-grade Go and/or Python services at scale (e.g., services processing 1B+ transactions/day or equivalent). 
• Strong understanding of Golang and its ecosystem, as well as Python and REST frameworks.
• Practical experience with streaming/messaging systems (Kafka / Kinesis / Pulsar) and stream processing frameworks or equivalents.
• Familiarity with AWS services and deployment practices.
• Proficiency in containerization using Docker or similar technologies.
• Solid understanding of database systems and SQL proficiency.
• Excellent system design and communication skills for cross-team collaboration.

#LI-AB2

Job Description

About the Role

Abnormal Security is looking for an experienced and driven backend software engineer to join the Product Features team. Join us and help build the platforms that power Abnormal's growth

• Integrations Platform - The backbone of customer trust. Engineer high-volume infrastructure that connects our cybersecurity platform to the tools enterprises rely on. Your work directly influences why customers choose Abnormal.
• Configuration Platform - The engine of developer velocity. Build intelligent systems that transform how 100+ engineers ship products. 

  Your Impact 

• Scale at the core: Design distributed systems handling massive volumes across cloud infrastructure
• Multiply team productivity: Create platforms that let engineers ship faster and build better
• Shape product decisions: Own infrastructure that defines what products we can build and how quickly we deliver them
• Drive business growth: Your platforms directly enable new customer wins and product launches

Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.

What you will do 

• Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
• Assist in guiding and mentoring junior members of the team
• Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
• Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
• Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities

Must Haves 

• 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
• Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
• Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
• Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
• Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
• Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
• Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems

Nice to Have 

• Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
• 2+ years of experience programming in Golang
• Familiarity with AWS services and deployment practices.
• Experience leading a small team to build a feature or component from scratch

Why You’ll Love It Here

• You’ll solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
• You’ll work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
• You’ll get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
• You’ll be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.

#LI-JP2

The Opportunity

Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. Our products help security teams detect sophisticated attacks, investigate risk quickly, and automate response at enterprise scale.

We’re building a team of strong engineers who are excited to use modern AI development tools to build faster, make better decisions, and ship high-quality software with more leverage.

We’re looking for a Software Engineer II - Backend to join our Customer Journey Team. This is an opportunity to work on core backend systems that shape how customers get onboarded onto the Abnormal platform—making the process smoother, faster, more automated, and increasingly self-serve.

The Customer Journey team builds the product and platform experiences that help customers get onboarded quickly and successfully. We solve onboarding problems by reducing manual work, improving reliability, and making complex setup flows easier for customers and internal teams. The team owns the workflows, automation, and visibility needed to move customers from initial setup to full activation. As a SWE2, you will build scalable systems and user experiences that improve onboarding quality, speed, and time-to-value.

If you’re excited by backend engineering, large-scale distributed systems, high-reliability services, and AI-augmented development, this is a high-impact opportunity to help shape a foundational part of Abnormal’s customer experience.

What You’ll Do

• Abnormal’s engineering expectations emphasize strong judgment in using AI to explore solutions, refine outputs, and deliver reliable production outcomes.

• Leverage AI-Augmented Development to enhance productivity, optimize workflows, and automate repetitive tasks.

• Build backend services and workflows that make POV onboarding smoother, quicker, and more self-serve for customers.

• Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules.

• Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences.

• Collaborate with strong engineers and cross-functional partners to deliver impactful solutions for customers and internal teams.

• Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale.

• Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation.

Must Haves

• 3+ years of professional experience in software development.

• Backend development experience with Python and/or Golang.

• Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.

• Experience or passion for building scalable, enterprise-grade applications.

• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

• Strong fundamentals in computer science, data structures, debugging, and performance optimization.

Nice to Have

• Experience building onboarding, provisioning, workflow orchestration, or platform automation systems.

• Familiarity with backend systems that provide process visibility, status tracking, or operational tooling.

• Experience with distributed systems, service-oriented architectures, or event-driven workflows.

• Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows.

• Experience improving service reliability, resiliency, and observability in production systems.

• Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products.

Ready to be part of AI transformation at Abnormal Security? Apply Now!

Once you apply, you’ll be invited to our AI-Augmented Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!

About You

You’re an experienced, customer-obsessed technical support professional with a passion for solving complex problems in high-stakes environments. With 4+ years of experience, you’ve developed a track record of supporting enterprise customers, driving technical investigations, and advocating for continuous product improvement.

You're energized by the evolving threat landscape in email and SaaS security, and you’re excited to support a platform that uses behavioral AI to stop the attacks others miss. You're equal parts communicator, troubleshooter, and customer champion—committed to delivering exceptional support and building customer trust at every step.

What You Bring:

• 4+ years in technical support roles, ideally in cybersecurity, enterprise SaaS, or API-driven platforms.
• Strong knowledge of email security fundamentals, SaaS platforms, and cloud ecosystems like Microsoft 365, Google Workspace, Slack, Okta, Splunk, Crowdstrike, Cortex SOAR, Rest API or Zoom.
• Proven ability to debug complex technical issues, analyze logs, and collaborate cross-functionally with Engineering and Product teams.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Familiarity with support and collaboration tools such as Zendesk, Salesforce, Jira, and Confluence.
• A mindset for continuous learning, efficiency, and improving both the customer experience and internal support processes.
• Experience using AI tools (e.g., GPT-based assistants, internal chatbots, or AI-powered support platforms) for troubleshooting or prompting is a strong plus.
  
  

In This Role, You Will:

• Act as a trusted L1 technical advisor for enterprise customers using Abnormal’s Cloud Email Security, AI Security Agents, and Saas Security.
• Own and resolve inbound support tickets—including configuration issues, API questions, behavioral false positives, and threat investigations.
• Provide customers with clear, timely updates, root cause insights, and solution recommendations that reinforce product confidence and trust.
• Collaborate closely with Engineering to ensure timely, high-quality resolutions and robust post-mortem documentation.
• Support seamless customer onboarding and engagement by working alongside Customer Success Managers.
• Create and maintain internal and external knowledge base content to improve case deflection and empower customers.
• Identify patterns in support interactions to flag recurring pain points and drive product improvements.

#LI-UC1

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

About the Role

At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats.

The MPP organization in Abnormal AI owns the product platform which enables scalable product development to support the business to create and launch various enterprise-level products for the customers with consistent experience. We are looking for a Sr Software Engineer who will be a feature lead for the Configuration Platform team under the MPP organisation. Our Configuration Platform team is creating a unified, intelligent system that empowers engineers to ship faster and build better. You'll architect solutions that set new standards for developer productivity, making configurations a competitive advantage. Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.

What You’ll Do

1. Technical Delivery & Operational Excellence
1. Build and iterate on product offerings, APIs, platforms, frameworks and tools.
2. Responsible for designing, developing, and maintaining feature buildouts to support a world-class user experience for our customers.
3. Ensure system stability and reliability of your crafted work.
4. Participate in regular code and design reviews as well as team-wide on-call rotation.
5. Write code with testability, readability, edge cases, and errors in mind.
6. Write and review technical design documents.
2. Teamwork & Collaboration
1. Communicate effectively in an asynchronous manner with team members to provide updates, discuss challenges and propose solutions.
2. Collaborate closely with product managers, designers, and engineers to ensure seamless integration and effective development.
3. Take ownership of projects and is a driver who adds instant adrenaline and drives positive impact when placed on projects and teams.
4. Participate in team roadmap discussions & (good to have) propose long-term plans.
5. Actively contribute to knowledge sharing within the team and participate in professional development activities.

  Must have Skills

• Experienced Sr Software Engineer having 7+ years of industry experience with strong software engineering fundamentals. 
• Experience in building low-latency and high-throughput systems.
• Futuristic, the ability to look at the bigger picture, and the growing system needs.  
• Growth-oriented, looking to increase impact, responsibility, and ownership over time
• Proven ability to own and drive complex systems end-to-end, with strong knowledge of team-owned services and the ability to collaborate and influence cross-team goals and roadmaps.
• Strong experience writing production Python and Golang code and working with SQL and NoSQL databases.
• Solid experience in system design and building resilient, scalable applications with an emphasis on operational excellence.
• Detail-driven and care about code quality, testing, and performance.
• Ability to make practical trade-offs and propose technical solutions, including writing technical design documents and leading their adoption.
• Strong understanding of service health, monitoring, fault tolerance, and incident response practices.
• Strong communication skills and proven ability to work autonomously and asynchronously with remote collaborators and stakeholders.
• Strong communication and mentorship skills to influence team-wide engineering practices.

Nice to Have Skills

• Experience with Golang and Airflow orchestration.
• Platform as a product experience.
• Familiarity with ChatGPT, Cursor and other GenAI productivity tools.

#LI-AB2