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Salesforce

Software Engineering SMTS

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $135K - 200K a year · our estimate

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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.

Role

Design and build production-grade backend services in Java and Python, ship them with modern DevOps/CI-CD practices, and bring AI/ML capabilities into the platform. This team operates a large-scale, highly-available distributed cloud platform.

Responsibilities

  • Build and scale Java and Python services and APIs
  • Own services end-to-end
  • Automate CI/CD pipelines
  • Apply DevOps practices (containers, Infrastructure as Code, observability)
  • Integrate AI/ML capabilities into the platform
  • Participate in code reviews, mentoring, and on-call rotations
  • Minimum Qualifications
  • CS degree or equivalent experience
  • 5+ years of software development experience with strong Java and Python skills
  • 3+ years of CI/CD experience (Jenkins, Spinnaker, GitLab CI, GitHub Actions)
  • 3+ years of DevOps experience (Docker, Kubernetes)
  • Experience with a public cloud provider (AWS, GCP, or Azure)
  • Experience integrating AI/ML capabilities
  • Experience with Maven/Gradle
  • Linux and networking experience
  • Preferred Qualifications
  • SQL experience with PostgreSQL and Oracle
  • Hands-on machine learning experience (TensorFlow, PyTorch, scikit-learn)
  • Experience with data platforms (Kafka, Spark, Airflow)
  • Experience with observability tools (Prometheus, Grafana, Datadog)
  • NoSQL experience (MongoDB, Redis, DynamoDB)
  • Experience supporting 24/7 high-availability production environments
  • Positioning
  • Primary: Java/Python
  • Strong required secondary: DevOps, CI/CD, AI
  • Preferred: PostgreSQL/Oracle plus machine learning
  • 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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, Bellevue, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 33 more places

55 of their 340 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

Still hiring?

13 checks

No red flags

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6 checks

1 red flag

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  • Your field
  • Level
  • Stack
  • Work model
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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Java
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • PyTorch
  • Kafka
  • Redis
  • MongoDB
  • Azure
  • Linux
  • CI/CD
Type
Full-time
Industry
SaaS
Specialty
Backend
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Specialty
Backend
Experience
5+ years
Tech stack
  • Python
  • Java
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • PyTorch
  • Kafka
  • Redis
  • MongoDB
  • Azure
  • Linux
  • CI/CD

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • Bellevue, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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