Software Engineering LMTS

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Salesforce Database Engineering builds and operates the cloud-native database platform that supports all core Salesforce traffic, forming the foundation of customer trust, availability, and scale across the Salesforce ecosystem.

About the Position:

We are looking for a Senior Database Development Engineer to deliver features in the database archival technology. Candidate must have strong cloud infrastructure skills coupled with experience/exposure to database internals/backup/restore domain background to work with a team that is responsible for architecting, developing, testing, and maintaining the service. In this role, you will work in a scrum team responsible for all aspects of Agile processes and work closely with a team of top talent and highly motivated software engineers with varying levels of expertise.

Our team consists of smart and tenacious engineers dedicated to excellence through product and platform expertise and uncompromising integrity. While we understand that delivery is important, we consider quality to be our highest priority. The code we deliver must be secure, perform well at scale, and provide the functionality promised to our customers.

As we scale our services in both in size and complexity - we must consistently provide the uptime and predictable performance that our customers demand. Our team is involved in enhancing, building, automating, and managing Salesforce Database Archival service and supporting service delivery pipelines and artifacts; adding and enhancing product capabilities, life cycle management components and scaling and healing solutions; observability dashboards, runbooks and troubleshooting guides. Our goal is to deliver highly available, elastically scalable, and cost-optimized Services on all Salesforce-supported substrates and environments

You will need familiarity with cloud infrastructure, archival/database internals, distributed systems, networking, exceptional software engineering skills, and relish the opportunity to work on very complex, highly concurrent, highly scalable, and resilient systems. You must have a proven track record of success where you demonstrated end-to-end ownership of design, implementation, monitoring, testing, and product support on large mission-critical systems at a petabyte scale.

As a senior/lead software engineer of the database archival team, you will be responsible for:

* Own design and development to deliver technical outcomes on all product and platform-related issues
* Help with backlog planning, and cross-team dependency planning and drive the team to execute on the plan.
* Design and develop high-quality code to improve archival service reliability, availability, quality, performance, and scalability
* Develop test strategies, design automation frameworks, and write unit/functional tests to drive up code coverage and automation metrics
* Demonstrate engineering expertise by working closely and collaborating with broader engineering teams, architects, and engineering managers to execute the strategy for your feature areas, help plan the backlogs, and enable your Scrum team to execute that roadmap flawlessly
* Owning and resolving Customer issues with utmost urgency and adhering to customer trust. Troubleshoot issues with the services that our team develops and owns, be passionate about automation
* Drive cross-team collaborative work environment with other Scrum teams and
engineering teams that foster autonomy, innovation, learning, respect and
transparency while holding a high bar for delivery

Requirements:

* BS/MS in computer science or a related field
* Excellent communication skills and problem-solving skills
* Experienced with developing backup/restore/database features for cloud database
* Experience with Scrum in an Agile development environment
* Prior experience with using Kubernetes to build and operate/manage stateful application clusters
* Knowledge of infrastructure as code for large complex systems - helm/terraform
* Experience in the public cloud technologies like AWS, mainly on EKS, EC2, IAM, VPC, S3
* Experience using telemetry and metrics to drive operational excellence will be an advantage
* Deep knowledge of object-oriented programming and experience with at least one scripting programming language: Java, Python
* Ability to debug, optimize code, and automate routine tasks and tests
* CI/CD automation experience, including an understanding of key open-source technologies like Jenkins, Spinnaker, and Docker.
* 10+ years in software development which includes experience in varying aspects of the development cycle, including design, coding, testing, and performance characterization, and possess 5+ years of above-related experience

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.

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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.