The Backend Software Engineer will develop and maintain scalable systems and tools for data processing, optimizing application performance, and collaborating with teams.
ABOUT THE COMPANY
Teikametrics' AI-powered Marketplace Optimization platform help sellers and brand owners to maximize their potential on the world's most valuable marketplaces. Founded in 2015, Teikametrics uses Proprietary AI technology to maximize profitability in a simple SaaS interface. Teikametrics optimizes more than $8 billion in GMV across thousands of sellers around the world, with brands including Munchkin, mDesign, Clarks, Nutribullet, Conair, Nutrafol, and Solo Stove trusting Teikametrics to unlock the full potential of their selling and advertising on Amazon, Walmart and other marketplaces.
Teikametrics continues to grow exponentially, with teams spanning 3+ countries. We are financially strong, continuously meeting or exceeding revenue targets, and we invest heavily in strengthening the foundation of our organization.
ABOUT THE ROLE
Teikametrics is seeking a Backend Software Engineer to design, develop, and maintain tools that empower users to process and visualize analytical data at scale. This role focuses on building high-performance, scalable systems using a modern tech stack, including Java, Spring Boot, Kafka, Postgres, and AWS services. The position offers a unique opportunity to work on cutting-edge cloud-based solutions that drive actionable insights for businesses optimizing their operations.
HOW YOU'LL SPEND YOUR TIME
- Develop scalable software solutions that align with customer needs, enhancing performance, functionality, and adaptability to growth in user demand, data, and feature expansion.
- Continuously monitor and optimize application performance, addressing any potential bottlenecks or inefficiencies.
- Implement data validation and quality checks to ensure accuracy and consistency
- Collaborate with product managers, UX designers, and other stakeholders to understand product requirements and deliver solutions that meet or exceed expectations.
- Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
WHO YOU ARE
- 3-5 years as a software developer, specifically in web applications.
- Hands-on experience with HTTP, web services, and the overall web application development lifecycle.
- Proficiency in Java with Spring/Spring boot framework
- Competency with SQL and RDBMS for efficient database interaction.
- Exposure to NoSQL databases is preferred.
- Experience with Docker, Kubernetes with Dockerization (nice to have)
- Ability to set up reusable, testable and performant components, allowing for rapid development and well-organized code.
- Strong design sensibilities and informed opinions on usability and design for web applications.
- Passion for working with a small team of world-class developers, solving challenging problems.
- A desire to work in a collaborative environment focusing on continuous learning; participating in mentoring, tech talks, documentation, code review, and some pair programming.
WE'VE GOT YOU COVERED
- Every Teikametrics employee is eligible for company equity
- Remote Work – flexibility to work from home or from our offices + remote working allowance
- Broadband reimbursement
- Group Medical Insurance – Coverage of INR 7,50,000 per annum for a family
- Crèche benefit
- Training and development allowance
Press Reference about Teika
Teikametrics’ Marketplace Optimization Platform, Flywheel 2.0, Adds AI-Powered Automation to Maximize Advertising Performance Across Marketplaces
The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended. #LI-Remote
Top Skills
AWS
Docker
Java
Kafka
Kubernetes
NoSQL
Postgres
Spring Boot
SQL
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Senior Software Engineer responsible for building high-quality backend infrastructure for blockchain platforms, mentoring team members, and managing project deliverables.
Top Skills:
ClickhouseGoKafkaMongoDBRedisS3
Big Data • Fintech • Mobile • Payments • Financial Services
The role involves leading engineering projects for backend systems, collaborating with teams on product development, and ensuring system availability and quality.
Top Skills:
AWSKotlinKubernetesMySQLPython
Big Data • Fintech • Mobile • Payments • Financial Services
Responsible for delivering team goals, leading engineers, solving problems, and collaborating with product management while ensuring system availability and quality.
Top Skills:
AWSBuildkiteGithub ActionsJenkinsKotlinKubernetesMySQLPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
