Software Engineering SMTS
- Vancouver, BC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 4+ years backend software development experience
- Posting language
- English
- Posted
Original job description
Description
The Ajna team builds and operates Salesforce’s internal Kafka-as-a-Service platform - the distributed messaging backbone that powers real-time data pipelines, alerting, analytics, and event streaming across every major Salesforce product and cloud environment.
The platform serves a broad ecosystem of internal engineering teams across commercial, GovCloud, and sovereign cloud environments globally. This team pursues principled, high-impact architectural evolution with direct consequences at production scale.
The team operates with distributed coverage across Pacific and India Standard Time zones, maintains continuous on-call coverage, and is actively invested in intelligent automation - including AI-powered tooling built in-house to support triage and auto-remediation at scale.
What We Are Looking For
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
Salesforce Information
Check out our Salesforce Engineering Site.
The Ajna team builds and operates Salesforce’s internal Kafka-as-a-Service platform - the distributed messaging backbone that powers real-time data pipelines, alerting, analytics, and event streaming across every major Salesforce product and cloud environment.
The platform serves a broad ecosystem of internal engineering teams across commercial, GovCloud, and sovereign cloud environments globally. This team pursues principled, high-impact architectural evolution with direct consequences at production scale.
The team operates with distributed coverage across Pacific and India Standard Time zones, maintains continuous on-call coverage, and is actively invested in intelligent automation - including AI-powered tooling built in-house to support triage and auto-remediation at scale.
What We Are Looking For
- Strong distributed systems fundamentals, including deep understanding of Kafka internals (leader election, ISR management, consumer groups, log compaction, partition rebalancing) and the ability to reason about consistency and availability trade-offs in multi-tenant environments
- Kubernetes engineering proficiency, including StatefulSets, Autoscaling, PersistentVolumeClaims, and Helm; demonstrated experience debugging production Kubernetes workloads
- Infrastructure-as-code experience with Terraform for cloud resources (IAM, object storage, messaging, block storage)
- Java engineering depth; the team’s core services are Java-based and require clean, performant, operationally sound implementation
- Operational ownership mindset: participation in on-call rotation, production incident investigation, and systematic root cause analysis
- Strong written communication skills and the ability to produce architectural designs that influence decisions across team and organizational boundaries
- Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
- Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers
- Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)
- Developing Infrastructure-as-Code using Terraform
- Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos
- Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance
- Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt
- Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available
- A related technical degree required
- 4+ years backend software development experience
- Deep knowledge of programming in Java, Golang, Python, or Ruby
- Experience using and contributing to open source technology: Kafka, Spinnaker, Zookeeper
- Experience owning and operating multiple instances of a critical service
- Experience with Agile development methodology and Test Driven Development
- Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
Salesforce Information
Check out our Salesforce Engineering Site.
More about this job
Responsibilities
Design, develop, automate, and operate resilient distributed systems and cloud infrastructure across multiple cloud platforms, using technologies such as Kafka, Kubernetes, Java, and Terraform. Participate in on-call operations, investigate production incidents, and improve service availability, resilience, and performance.
Requirements
Requires a related technical degree and at least four years of backend software development experience, with strong programming skills in Java, Golang, Python, or Ruby. Candidates should have experience with Kafka and other open-source technologies, critical service ownership, Agile and test-driven development, and production infrastructure operations.
Skills
- Distributed Systems
- Apache Kafka
- Kubernetes
- Terraform
- Java
- Golang
- Python
- Ruby
- Infrastructure as Code
- Production Operations
- Incident Response
- Root Cause Analysis
- Microservices
- Test-Driven Development
- Agile Development
- Monitoring and Alerting
Benefits
- Wellbeing Reimbursement
- Parental Leave
- Adoption Assistance
- Fertility Benefits
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Apache Kafka
- Kafka Internals
- Leader Election
- In-Sync Replicas
- Consumer Groups
- Log Compaction
- Partition Rebalancing
- Kubernetes
- StatefulSets
- Autoscaling
- PersistentVolumeClaims
- Helm
- Terraform
- Java
- Golang
- Python
- Ruby
- AWS
- Google Cloud Platform
- Microsoft Azure
- Alibaba Cloud
- Infrastructure as Code
- Spinnaker
- Zookeeper
- Docker
- Mesos
- Microservices
- Distributed Systems
- Agile Development
- Test-Driven Development