Software Engineering MTS/SMTS

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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.

Our Security Software Engineering team builds and operates highly scalable, fault-tolerant, distributed systems to deliver cloud-scale security software services. We provide the fundamental building blocks to improve and preserve customer trust in Salesforce's products across multiple public cloud substrates and our own network infrastructure. We architect and implement our services, to protect Salesforce products/infrastructure and defend against malicious attacks.

We are looking for a talented and experienced engineer to advance our detection platform capabilities to detect known and unknown threats in real time by harnessing signals embedded within system and user generated logs. With a strong background in software engineering and MLOps practices, you will play a key role in building and operating detection platforms that employ both machine learning and rule-based approaches for detecting and mitigating security threats and risks.

• Design, implement, test and deliver highly scalable services, frameworks and tools.

• Work closely with cross functional team members to build features for the detection platform.

• Develop deep technical understanding and take ownership of the selected areas and technologies.

• Continuously raise standard of engineering excellence by implementing best practices for development, testing, and deployment

• Operate optimally in the hybrid engineering model where engineers are expected to be able to design and execute the vital work to ensure quality in their own code as well as other engineers

• Assist in technical authority, vision, documentation of operational procedures and guidance to ensure the continued evolution of the platform

• Operate in an Agile environment and participate in all phases of software development.

• Education: Bachelor or Master's degree in Computer Sciences or equivalent field

• Industry Experience: (5+ for SMTS, 2+ for MTS) years including

  • Experience in designing, implementing and operating large scale distributed systems in public cloud environments (AWS, GCP or Azure)

  • Experience with Containers and orchestration technologies (e.g. Docker, Kubernetes)

  • Familiarity with DevOps practices, CI/CD tools, Configuration management and Infrastructure as a code (IaC)

• Programming: Proficiency in object-oriented and multi-threaded programming in Java and/or Python

• Software Design: Demonstrable understanding of design patterns, distributed systems, data structures and algorithms

• Operating System: Development and software management on Linux (e.g., CentOS, RHEL) and Windows

• Agile: Experience with Agile development methodology

• Communication: Excellent oral and written communication skills

• Team: Work as a team player and value team success beyond personal contributions

• Strong debugging and troubleshooting skills

• MLOps: Experience with MLOps or deploying machine learning models in production  and familiarity with machine learning frameworks (like Kubeflow, MLFlow, Airflow etc.) and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

• Security: Strong fundamentals knowledge in security concepts: authentication/authorization frameworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)

• Platform development: Proven track of designing and coding large-scale PaaS or IaaS systems.

• Big Data: Proficiency and experience with relational and NoSQL databases, message queues (Kafka, SNS/SQS, etc), Splunk and other components in data pipelines

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.

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.