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Staff / Senior Software Engineer, Data Infrastructure

Staff / Senior Software Engineer, Data Infrastructure

Salesforce.Com IncSan Francisco, CA, United States
20 hours ago
Job type
  • Full-time
Job 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.

Slack is looking for a Staff / Senior Data Infrastructure Engineer to join the Data Infrastructure team within the broader Data Engineering organization. The mission of our team is to build secure, reliable, and cost-efficient infrastructure that powers Slack's data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack.

Our systems power critical workflows - from batch and streaming ingestion to real-time analytics and orchestration. We're looking for strong technical leaders who can combine hands-on expertise with strategic impact , helping to scale and evolve the backbone of Slack's data infrastructure as we grow.

You'll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you'll be a Directly Responsible Individual (DRI) for one or more core data services, accountable for uptime, reliability, and performance, and a subject matter expert (SME) across multiple systems over time.

Here are a few examples of what we work on :

  • Enabling more realtime OLAP capabilities for internal and external customers
  • Scaling our compute and orchestration layer.
  • Creating and scaling agents to enable engineers and users on their workflow and data needs

What you will be doing

  • Design, build, and operate reliable and scalable data infrastructure powering Slack's analytics, ML, and data-driven decision-making.
  • Serve as DRI for 1-2 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance.
  • Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.
  • Build automation and self-service tools that empower data teams to easily adopt and manage data workflows.
  • Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions.
  • Contribute to observability, monitoring, and alerting via Grafana and related tooling.
  • Partner with other senior engineers to define best practices, technical standards, and support models for Slack's data ecosystem.
  • Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence.
  • What you should have

  • 7+ years of software or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms .
  • Proven experience in building, deploying, and operating distributed infrastructure at scale.
  • Strong technical background with big data and infrastructure technologies - such as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems.
  • Proficiency in Python, Golang, Bash, and SQL .
  • Familiarity with CI / CD (GitHub Actions) , Vault, Terraform, Chef, and Grafana .
  • Deep understanding of infrastructure reliability, observability, and cost efficiency principles.
  • Hands-on experience supporting data pipelines or data engineering workflows is a strong plus.
  • Excellent communication skills and the ability to collaborate across cross-functional teams.
  • A strong sense of ownership and a drive to deliver high-impact, autonomous results.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • What we value

    Slack has a positive, diverse, and supportive culture-we look for people who are curious, inventive, and collaborative . We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, and-above all-collaborative.

    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.

    Accommodations

    If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

    Posting Statement

    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.

    In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including : time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link : to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600. For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.

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    Software Engineer Infrastructure • San Francisco, CA, United States

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