Backend Engineer- Kubernetes Infrastructure (India)

Onehouse; Kolkata District; Hybrid; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Equity compensation

Health & wellbeing stipend

Provident fund eligibility

Remote-friendly work environment

Unlimited PTO

Lunch stipend

Equipment stipend

Parental leave

Job summary

Onehouse is hiring a Backend Engineer focused on Kubernetes Infrastructure. You will design and build software that powers the cloud data lake platform, working on Operators, Controllers, and platform automation across AWS, GCP, and Azure.

The role emphasizes backend development and distributed systems, not routine DevOps. You will collaborate with backend, data platform, and frontend teams to deliver scalable and observable infrastructure, with an emphasis on reliability and performance in

Qualifications

• 5+ years of experience building backend or infrastructure software.
• Strong programming skills in Go (preferred) or Java
• Experience developing Kubernetes Operators using controller-runtime.
• Hands-on experience with: Kubernetes Controllers; Custom Resource Definitions (CRDs); reconciliation loops; Operator pattern
• Strong understanding of Kubernetes APIs and Kubernetes architecture.
• Experience building distributed systems or cloud-native backend services.
• Experience debugging production systems running on Kubernetes.
• Familiarity with one or more cloud platforms (AWS, GCP, or Azure).
• Strong software engineering fundamentals including testing, debugging, code reviews, and system design.

Responsibilities

• Design and develop Kubernetes Operators and Controllers using Go and controller-runtime.
• Build Kubernetes-native automation for provisioning, upgrading, scaling, and managing distributed systems.
• Develop CRDs and reconciliation logic to automate platform lifecycle management.
• Build backend services that integrate with Kubernetes APIs and cloud infrastructure.
• Improve the reliability, scalability, and observability of infrastructure software running on Kubernetes.
• Collaborate with backend, data platform, and frontend engineers to deliver platform capabilities.
• Design software that powers Spark and AI workloads on Kubernetes.
• Participate in architecture discussions and contribute to long-term platform design.
• Debug complex distributed systems running in Kubernetes production environments.
• Maintain high engineering standards through code reviews, automated testing, and observability.

Skills

Go

Java

Kubernetes

Controller-runtime

Distributed systems

Cloud platforms

Tools

CRDs

Operator pattern

Job description

About Onehouse

Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).

We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!

The Community You Will Join

When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Cloud Infrastructure team is the glue that binds all of this together. We enable our data platform and infrastructure teams to be successful by acting as the foundation of a truly cloud native product.

The Impact You Will Drive:

• As a Backend Engineer on the Kubernetes Infrastructure team, you'll design and build the software that powers Onehouse's cloud platform. You'll work on Kubernetes-native infrastructure including Operators, Controllers, and platform automation that manage distributed data systems at scale. Your work will directly influence how our platform provisions, upgrades, monitors, and operates customer deployments across AWS, GCP, and Azure.

This is a software engineering role focused on extending Kubernetes not operating clusters as a DevOps or Site Reliability Engineer.

A Typical Day:

• Design and develop Kubernetes Operators and Controllers using Go and controller-runtime.
• Build Kubernetes-native automation for provisioning, upgrading, scaling, and managing distributed systems.
• Develop Custom Resource Definitions (CRDs) and reconciliation logic to automate platform lifecycle management.
• Build backend services that integrate with Kubernetes APIs and cloud infrastructure.
• Improve the reliability, scalability, and observability of infrastructure software running on Kubernetes.
• Collaborate with backend, data platform, and frontend engineers to deliver platform capabilities.
• Design software that powers Spark and AI workloads on Kubernetes.
• Participate in architecture discussions and contribute to long-term platform design.
• Debug complex distributed systems running in Kubernetes production environments.
• Maintain high engineering standards through code reviews, automated testing, and observability.

What You Bring to the Table:

• 5+ years of experience building backend or infrastructure software.
• Strong programming skills in Go (preferred) or Java
• Experience developing Kubernetes Operators using controller-runtime.
• Hands-on experience with:

• Kubernetes Controllers
• Custom Resource Definitions (CRDs)
• reconciliation loops
• Operator pattern

• Strong understanding of Kubernetes APIs and Kubernetes architecture.
• Experience building distributed systems or cloud-native backend services.
• Experience debugging production systems running on Kubernetes.
• Familiarity with one or more cloud platforms (AWS, GCP, or Azure).
• Strong software engineering fundamentals including testing, debugging, code reviews, and system design.

Nice to Have

• Built production Kubernetes Operators.
• Contributed to Kubernetes ecosystem projects.
• Designed software for large-scale cloud platforms
• Experience building control planes for distributed systems
• Passion for open source and cloud-native technologies.

What This Role Is Not

This is not primarily a DevOps, Site Reliability Engineering (SRE), or Kubernetes cluster administration role.

While you'll work closely with cloud infrastructure and production systems, your primary focus will be designing and building Kubernetes-native software rather than day-to-day cluster operations.

How We'll Take Care Of You

• Equity Compensation; our success is your success with eligible participation in our company equity plan
• Health & Well-being; we'll invest in your physical and mental well-being by reimbursing up to 20,000 INR for your monthly insurance premium
• Financial Future; we'll invest in your financial well-being by making this role eligible for the provident fund of which Onehouse will contribute up to 1800 INR/month
• Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business
• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 17 paid company holidays
• Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks
• Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 (USD) stipend for your initial office/desk setup
• Child Bonding!; 26 weeks off for birthing and 12 weeks for surrogate and adoptive parents - fully paid so you can focus your energy on your newest addition

House Values

One Team

Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of.

Tough & Persevering

We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one!

Keep Making It Better Always

Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward.

Think Big, Act Fast

We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns.

Be Customer Obsessed

Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.