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 on all aspects of Agile processes and work closely with 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 we'll 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, 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 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 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, 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 on 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 fosters autonomy, innovation, learning, respect and transparency while holding a high bar for delivery

Requirements:
BE/BTech/MTech 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 the stateful application clusters
Knowledge of infra structure 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 the understanding of key open sources technologies like Jenkins, Spinnaker, and Docker.
8+ years in software development which includes experience in varying aspects of development cycle, including design, coding, testing and performance characterisation, and possessing 5+ years of above related experience