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4 Days ago

Kafka Lead Software Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Salesforce

Overview

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.

Salesforce is expanding our Big Data Services team - looking for experts to drive the way we architect, deliver, and operate the services that run at the heart of our data platform. Our systems deliver trust and scale for critical customer-facing features like business intelligence and data integration as well as internal capabilities like the company's monitoring fabric and detection/response security systems. We are looking to add Software Engineers, with experience building and owning distributed services, who can step up and own big chunks of this vision on these projects.

The Ajna team at Salesforce provides Kafka as a Service at the scale of trillions of messages per day across numerous clusters in Salesforce managed data centers and in public cloud ecosystems. We are the trusted, high volume message bus for Salesforce, running multi-tenant clusters connecting many business units of the company together. The team works on ingest and extensions to the Kafka ecosystem to bridge clusters together and store streams as well as on highly reliable automation for tuning, operating, and scaling Kafka clusters.

We are excited about and actively working towards providing our services in a variety of public cloud substrates (AWS, Azure, GCP, Ali and 1P). We use Kubernetes to abstract cloud-specific infrastructure and provide a cloud-independent Kafka experience to our users. This puts us in a great position to advance and contribute back to the open-source projects we leverage, inside both Kafka and Kubernetes communities.

We are seeking for LMTS/PMTS to help take us to the next level of scale, performance, and maturity.

Opportunities Include

  • Architect our approach to managing our services on different public cloud substrates
  • Designing and building deployment automation and change pipelines
  • Leading efforts to improve monitoring, alerting, and incident response
  • Coaching other engineers on best practices for designing and operating reliable systems at scale
  • Contributing to prominent open-source projects
  • Measuring and improving the performance and availability of Kubernetes and Kafka
  • Building deep expertise with public cloud substrates, Kubernetes and Kafka (or perhaps you already have this?)

Requirements

  • Atleast 1-2 years of Lead/PMTS experience
  • Atleast 3 years experience working on any one of BigData Distributed Services
  • Minimum 8 years of experience as Software Engineer
  • Experience with Java and any scripting language in a Linux/UNIX data center environment
  • Experience in Distributed Systems
  • Experience with one or more public cloud substrates e.g. AWS, Azure, GCP
  • Experience with one or more of: Kafka, Spark, Kubernetes, Docker, Hadoop, Spinnaker, Terraform
  • Experience owning and operating multiple instances of a mission-critical service
  • Experience with Agile development methodology and Test-Driven Development
  • Experience using telemetry and metrics to drive operational excellence
  • Optional: Prior experience with Kafka as a service

Education

  • MS or BS in Computer Engineer/Science or related field, or
  • Relevant work experience with demonstrated success in the above areas at scale

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.
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