Platform Engineer

About Databook

Databook is the world’s first AI-powered enterprise customer intelligence platform. Dubbed “Moneyball for Sales”, Databook was founded in 2017 to give enterprise sales representatives and go-to-market teams a differentiating advantage. Today, leading enterprise companies rely on Databook to help their teams engage as experts – improving the buying experience for customers and accelerating revenue acquisition. Our customers include Microsoft, Salesforce, Databricks, and more. We are a Series B company backed by Bessemer Ventures, DFJ Growth, M12 - Microsoft’s Venture fund, Salesforce Ventures and Threshold Ventures. We are a customer-focused, innovative, and collaborative learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe.

About our Technology Team

The Engineering team at Databook brings together collaborative and technically passionate individuals to deliver innovative customer intelligence solutions that drive real value for our clients. Led by past Google and Salesforce engineers, this group offers an opportunity to explore all aspects of the engineering lifecycle, to be close to the client, and to make a real difference. We give our engineers a lot of autonomy to own and solve complex, novel problems - from system design to natural language processing (NLP) and machine learning (ML). The Engineering team offers a place where engineers can collect an abundance of experience and practice their leadership skills; all in a hyper-growth context.

Working Arrangements:

This position offers a hybrid work mode, (3 days in office and 2 days allowing employees to work remotely). Office Location is Gandhinagar, Vikhroli (W) in Mumbai.

The Opportunity

We're seeking a proactive and skilled Platform Engineer to play a crucial role in enhancing the reliability, scalability, and performance of our platform. This position offers an exciting opportunity to collaborate closely with cross-functional teams, integrate new technologies, and improve our DevOps and SRE practices. The ideal candidate will possess a robust background in backend engineering, DevOps, and site reliability engineering, and will work within a complex enterprise cloud platform to deliver high-quality solutions.

If you're passionate about driving excellence, building robust systems, and contributing to the evolution of a cutting-edge AI platform, we invite you to join our dynamic team!

Responsibilities

• Promote best practices and standards across the engineering teams to ensure high reliability and performance of the platform.
• Collaborate with product management, engineering, and other stakeholders to enhance platform reliability and scalability, aligning with business objectives and driving technical excellence.
• Develop, maintain, and optimize backend systems and infrastructure to support our platform’s growth and scalability.
• Implement and improve our CI/CD pipelines, automation, monitoring, and alerting systems to enhance the platform's stability and performance.
• Document and track system performance, incidents, and resolutions, producing detailed technical reports and dashboards.
• Formulate plans and provide guidance on backend architecture, deployment strategies, and reliability improvements.
• Participate in an on-call rotation to ensure 24/7 platform reliability and rapid response to incidents.

Qualifications

• 5+ years of experience in Platform or Infrastructure Engineering, DevOps, SRE, or a similar role.
• Strong experience in backend development using languages such as Python, JavaScript/Typescript.
• Strong understanding of API design and implementation.
• Strong competency in SQL.
• Proficiency with CI/CD tools and frameworks (e.g., Jenkins, GitLab CI, CircleCI).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with IaC tools like Terraform, CloudFormation, or Ansible.
• Familiarity with monitoring and observability tools and frameworks such as Datadog, Splunk, New Relic, or Prometheus.
• Strong analytical and problem-solving skills with a focus on long-term solutions.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Ability to work in a fast-paced business environment and manage multiple priorities simultaneously.

Working Arrangements:

• This position offers a hybrid work mode, allowing employees to work both remotely and in-office as mutually agreed upon.

Ideal candidates will also have:

• Experience with or interest in Machine Learning and Generative AI.
• Experience with performance, load, and stress testing frameworks.
• Familiarity with security best practices and tools for cloud environments.

Join us and enjoy these perks!

• Competitive salary with bonus 
• Medical insurance coverage
• 5 weeks leave plus public holidays
• Employee referral bonus program
• Annual learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development
• Complimentary subscription to Masterclass

Databook is the pioneer and leader in Strategic Relationship Management (SRM). The company’s award-winning SRM platform leverages advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency. On average, Databook clients achieve 5x more customer meetings, 3x more pipeline, 2.5x larger deals and 1.5x faster cycle time.