Software Engineer

We Love AI Jobs; United Kingdom; Teletrabalho; GBP 60 000 - 90 000; Tempo integral

Resumo da oferta

SailPoint is seeking a Software Engineer to build platform services and full-stack features for our Identity Security Cloud in a remote UK role.

You will work with Golang on backend, Angular on the frontend, and AWS infrastructure, collaborating with data scientists on AI-enabled policy decisions, and participate in the on-call rotation.

This is a permanent, fully remote position requiring UK residency (British passport, Settled Status or ILR).

Qualificações

• 2+ years of software engineering experience.
• Bachelor's degree or equivalent experience.
• Experience with Golang and Angular.
• Experience with AWS and DynamoDB.
• Familiarity with CI/CD and automated testing.

Responsabilidades

• Build and operate scalable platform microservices and full-stack features for identity policy workflows.
• Work with data scientists to integrate AI-related features into policy decision workflows.
• Improve testing, CI/CD, performance, and platform reliability while participating in on-call support.

Conhecimentos

Golang

Angular

Microservices

AWS

TypeScript

CI/CD

DynamoDB

Automated testing

Formação académica

Bachelor's Degree or equivalent experience

Ferramentas

DynamoDB

Descrição da oferta de emprego

# Software EngineerSailPointRemote (United Kingdom)Full-timeAI tools:CursorClaude CodePyTorchscikit-learnUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis engineer will build platform services and full-stack features for SailPoint’s Identity Security Cloud, including policy decisions across millions of identities. The role involves Golang, Angular, AWS, collaboration with data scientists on AI-related features, and participation in an on-call rotation.* Permanent* Fully Remote* 2+ years* Bachelor's Degree or equivalent experience### Skills and expertiseGolangAngularMicroservicesAWSTypeScriptCI/CDDynamoDBAutomated testing### Key responsibilities* Build and operate scalable platform microservices and full-stack features for identity policy workflows.* Work with data scientists to integrate AI-related features into policy decision workflows.* Improve testing, CI/CD, performance, and platform reliability while participating in on-call support.## How this job comparesCompared with 1,047 open mid-level engineering jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 1,047 open mid-level engineering jobs at 274 companies.Remote work: This job is remote. 104 of the 1,047 mid-level engineering jobs (10%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The main focus is platform software engineering, but the engineer will collaborate with data scientists on AI-related features. The posting also expects routine use of AI development tools and workflows.## Full descriptionThis is a UK-based role. You will be required to interview in person.Must have permanent residency in the UK (I.e. British Passport, Settled Status or ILR)'About SailPointSailPoint is defining the next era of identity security. Our unified, AI-powered platform seamlessly secures both the Human Fabric of your workforce and the Agentic Fabric of AI and non-human identities, completely eliminating organizational blind spots.Built on core principles like zero-standing privilege and contextualized risk, our platform transforms identity from a vulnerability into a strategic business advantage. Today, we are trusted by some of the largest, most complex organizations in the world to deliver intelligent, autonomous identity security at scale.About the roleAs a Software Engineer on the Platform Engineering team, you will design, build, and run mission-critical platform services that enable applications to define policies, make real-time decisions, and react dynamically to changes across millions of identities in our Identity Graph.In a typical day, you will write high-performance Golang code, develop robust full-stack features using Angular on the frontend, and implement resilient microservices deployed on AWS. You will collaborate closely with distributed team members, partner with data scientists on AI-driven features, and optimize distributed cloud architectures for low-millisecond latency.About the teamYou will join one of our UK Platform Engineering teams dedicated to designing, building, and operating core services for SailPoint's Identity Security Cloud. We are a collaborative group of backend and UI specialists transitioning to full-stack feature ownership. We value knowledge sharing, high code quality, and regular collaboration, meeting in person once per quarter for a one- to two-day team offsite.Roadmap for success30 days:• Complete SailPoint engineering onboarding, configure your development environment, and obtain repository access.• Review architectural documentation for the Identity Graph and policy engine to understand domain concepts and platform standards.• Shadow teammates during sprint ceremonies, design discussions, and code reviews.• Deliver and merge your first Golang pull request with comprehensive unit tests.60 days:• Build and deploy your first end-to-end microservice feature within the policy engine.• Write robust unit and integration tests adhering to platform code coverage standards.• Participate actively in peer code reviews, offering actionable feedback.• Familiarize yourself with monitoring dashboards, alerting systems, and on-call runbooks.6 months:• Independently deliver scalable, full-stack platform features using Golang and Angular.• Partner with the Data Science team to integrate AI-related features into policy decision workflows.• Join the primary 24x7 on-call rotation (approximately one week in 20) to support platform availability and reliability.• Identify and implement automated CI/CD pipeline improvements to accelerate release cycles.1 year:• Lead technical design and implementation for high-throughput, low-latency microservices handling millions of identity access requests.• Mentor team members and champion engineering best practices across microservices architecture and cloud infrastructure.• Drive performance tuning initiatives across distributed cloud databases such as DynamoDB, Aurora, or Snowflake.• Contribute to architectural roadmaps and technical strategy for core platform initiatives.Requirements