Description

This candidate must be a U.S. citizen (U.S. born or naturalized) who does not hold dual citizenship and agrees to complete a U.S. federal government Minimum Background Investigation (MBI) for a Moderate Public Trust position.

Overview Of The Role

We are seeking an experienced Backend Software Engineer with DevOps to join a dynamic team of software, systems, and security engineers. This role will involve developing robust Python services to automate complex workflows and integrate disparate systems, frequently leveraging AI/ML models for intelligent process optimization running on to Salesforce's cloud native stack.

It also involves working on enterprise-scale infrastructure, focusing on resolving infrastructure deployment challenges through software solutions. The ideal candidate will deliver high-velocity and high-quality infrastructure in public cloud environments, bringing a passion for innovative, automation-first solutions that leverage cutting-edge AI and traditional technical stacks.

Responsibilities

Develop and maintain scalable Python services and APIs for systems integration with internal Salesforce services and workflow automation, including LLMs models to enhance system intelligence and efficiency.
Debug and resolve infrastructure and application failures in Kubernetes and cloud-native environments.
Collaborate with internal teams for efficient iterations of automated CI/CD pipelines with the goal of maintaining service owner feature velocity, troubleshooting and reproducing issues reported in Production environments.
Lead the design, development, and distribution of operator tooling, leveraging Salesforce's robust CI/CD infrastructure.
Collaborate closely with engineers, product managers, and architects to transform manual processes into automated governance solutions. This includes designing, implementing, testing, and delivering new features to enhance customer adoption while maintaining platform stability and scalability.
Interact with a highly innovative and creative team of developers, open-source committers and architects across Salesforce.
Research and find the right tools for the job, and if they don't exist create them.

Required Qualifications

3+ years working experience with programming languages such as (Python, Golang) with a strong preference for Python.
3+ years of hands-on experience developing and maintaining DevOps processes - CI/CD pipelines, Infrastructure builds using Infrastructure as Code, Production operations and support and Automated testing.
3+ years operating production Kubernetes deployments, with a deep understanding of platform concepts and core components.
2+ years of hands-on experience building containerized workloads targeting Kubernetes environments.
2+ years developing infrastructure and application security for highly sensitive customer data & environments (IAM, PKI, Vulnerability management).
2+ years experience with Infrastructure as Code and Configuration Management technologies such as Terraform, Jinja2, Go Templates, Ansible etc.
2+ years experience deploying with a CI/CD orchestration services (Jenkins, Spinnaker)
1+ Experience running code reviews and mentoring junior developers.
Experience working within and building cloud native services on AWS with good understanding of tcp/ip networking protocols.
Experience leading and presenting engineering topics to non-engineering and executive stakeholders. Maintain and author system design documentation, diagrams, and related artifacts, and present them and roadmaps to senior leadership.
Team-player with the ability to work effectively and efficiently with others. Be a self-starter and possess a strong sense of self-motivation.
A related technical degree is required.

Preferred Qualifications

Leveraging knowledge of AI & LLM infrastructure to improve stability and scalability of the application
Experience with cloud based Kubernetes platforms such as EKS, GKE or similar.
Experience in any of the logging and monitoring stacks such as Splunk, Grafana, elastic search, Cloudwatch, Prometheus etc.
Experience using telemetry and metrics to drive operational excellence and managing enterprise grade services and applications in production.
Leading the design and development of prototypes, maintaining high standards of quality with code base and maintaining detailed documentation.
Experience with API design and development and familiarity with microservices architecture and related design patterns.
Experience with automated test harnesses and frameworks, and authoring test suites, for both unit and functional/integration tests, that can be invoked within CI/CD pipelines.
Experience with supporting developing security & compliance into pipelines (OPA, Chekov, Twistlock, Prisma, Casbin).

For roles in San Francisco and Los Angeles: Pursuant 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.

Sr Backend Software Engineer with DevOps

Job Type