Senior Software Engineer, Identity Security

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Opportunity

Slack's Identity Security team is looking for a Senior Software Engineer to help build the identity and access controls that protect Slack's infrastructure and the agents operating within it. This is a software engineering role: you'll write code, design services, and ship features that secure how humans and AI agents authenticate and access systems at Slack. Cloud platform experience is essential; prior identity domain experience is a plus but not required — we'll ramp you up on the identity-specific context.

What you will be doing

Design and build services: Develop and maintain identity and access management services on AWS and Kubernetes, working alongside senior engineers on system design, implementation, and operational reliability (monitoring, alerting, and SLOs).

Extend agentic identity controls: Build and improve the controls that govern how AI agents authenticate, request access, and operate within Slack's systems

Build automation: Design and build systems and APIs that remove manual steps from access management and reduce risk across the organization.

Collaborate cross-functionally: Partner with other engineers across Identity, Security, and Infrastructure on shared services and APIs.

Participate in code and design review: Contribute to a culture of high-quality code and sound system design through regular reviews with the team.

Grow with the team: Take on increasing ownership of projects and systems as you build identity domain expertise.

What you should have

5+ years of professional software engineering experience, including building and operating production backend systems.

Proficiency in a high-level programming language such as Python or Go.

Hands-on experience with AWS, including deploying and operating services in a cloud environment.

Working knowledge of distributed systems concepts (APIs, service architecture, data stores).

Solid understanding of security fundamentals and secure software development practices.

Strong verbal communication skills — able to explain technical tradeoffs clearly to teammates.

Strong written communication skills: you can write durable and clear documentation for a variety of readers, including engineering teammates, technical reviewers, and users

A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Requirements

• Interest in or exposure to authentication, authorization, identity lifecycle management, or access governance is a plus — not required.
• Previous experience with deploying and managing workloads in Kubernetes
• What's more important to us than a number is the skills you've developed, regardless of the length of time it took to get where you are. Have fewer years but feel you meet the requirements above? We look forward to hearing from you.
• Unleash Your Potential
• When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.