Remote Database engineer platform engineering Jobs – 111 Open Jobs Today

Sr. Systems Engineer
Trantor Software Pvt. Ltd —Remote
- ₹40,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Databases
- SQL
- C++
Quick apply
1d
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Mango Sciencies —Remote
- ₹2,96,003.91 - ₹13,77,609.90 a year
- Full-time
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- Azure
- Oracle
- Writing skills
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1d
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Techolution —Remote
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- SQL
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- Health insurance
1d
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Dezai —Remote
- ₹1,000 - ₹5,000 a month
- Remote
- B.Sc
- SQL
- AWS
- Work from home
- Flexible schedule
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1d
Quality Assurance Analyst
Enfycon INC —Remote
- Remote
- SQL
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W Energy —Remote
- Remote
- Azure
- Java
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2d
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INDUANSH PRIVATE LIMITED —Remote
- ₹60,000 - ₹90,000 a month
- Full-time
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- Computer Science
- Software troubleshooting
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QA Lead
Cloudify Solutions Pvt Ltd —Remote
- Up to ₹10,00,000 a year
- Full-time
- Remote
- SQL
- AWS
- JavaScript
- Health insurance
- Paid time off
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2d
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Gnani Innovations —Remote
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ScaleReal Technologies —Remote
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- Weekend availability
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- ₹16,00,000 - ₹17,00,000 a year
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- Azure
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Recruitment Hub 365 —Remote
- ₹14,00,000 - ₹15,00,000 a year
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- Full-time
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- System design
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- Paid time off
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Sr. Systems Engineer

Trantor Software Pvt. Ltd -
Remote

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Job details

Full-time
₹40,00,000 - ₹50,00,000 a year
1 day ago

Qualifications

Performance tuning
Cloud infrastructure
Go
Bash (Unix shell)
Databases
SQL
OS Kernels
C++
C
Distributed systems
Scripting
SAN
Agile
Linux
AI
Python
Debugging
High availability

Full job description

Role - Sr. Systems Engineer – Storage Systems

Location - Remote

Shift - 6.30 PM onwards

About Trantor Inc

Trantor Inc. is a global technology services and consulting company headquartered in Palo Alto, California, with delivery centers across the USA, Canada, and India. We partner with Fortune 500 companies and high-growth enterprises to drive digital transformation through Product Engineering, Cloud Enablement, Data & AI Solutions, Automation, and Customer Success Services. At Trantor, we thrive in a collaborative, agile, and people-first environment.

Why Join Trantor?

Trantor offers the opportunity to work on diverse, cutting-edge projects in a culture that values innovation, continuous learning, and collaboration. Enjoy the flexibility of a hybrid/remote role while contributing to impactful initiatives in a truly global organization.

About the Opportunity

The Infrastructure Systems Engineering team is building next generation private cloud infrastructure as part of a strategic initiative to bring critical workloads in-house and support future growth.

The environment supports a highly scaled distributed database platform that executes over 7 million tests per month and processes petabytes of storage daily. As the platform continues to grow, we are seeking engineers who can design, build, optimize, and troubleshoot storage systems at scale.

As a Sr. Systems Engineer – Storage Systems, you will work on the design, implementation, performance optimization, and reliability of large-scale distributed storage infrastructure. This role focuses on low-level systems engineering, storage architecture, distributed systems, Linux internals, and performance engineering.

You will collaborate with a small team of highly skilled engineers who value first-principles thinking, technical curiosity, data-driven decision making, and ownership.

Key Responsibilities

Storage Systems Engineering

Design and develop distributed storage infrastructure and services.
Build scalable, fault-tolerant storage architectures capable of supporting high-performance database workloads.
Develop and optimize storage components responsible for data placement, replication, recovery, and consistency.
Improve storage performance, scalability, and operational efficiency across large-scale environments.
Design and implement solutions for high availability, fault tolerance, and disaster recovery.

Performance Engineering

Analyze and optimize storage latency, throughput, and resource utilization.
Identify bottlenecks across storage, memory, CPU, and networking subsystems.
Perform low-level profiling and performance tuning of storage-intensive workloads.
Drive benchmarking and performance validation efforts.

Linux & Systems Development

Develop systems software in Linux environments.
Work with Linux kernel interfaces, filesystems, memory management, and I/O subsystems.
Troubleshoot complex performance and reliability issues at the operating system level.
Contribute to system-level tooling and observability capabilities.

Distributed Systems

Design and troubleshoot distributed systems operating at scale.
Investigate consistency, replication, and failure-recovery challenges.
Participate in architecture reviews and technical design discussions.
Own systems throughout the entire lifecycle from design through production support.

Required Qualifications

Experience

5+ years of experience developing systems software.
Proven experience designing, building, or optimizing distributed storage systems.
Strong understanding of storage architecture and distributed systems concepts.
Experience working on performance-critical infrastructure systems.
Experience troubleshooting complex production environments.

Technical Expertise

Deep expertise in one or more of the following:

Distributed Storage Systems
Object Storage
Distributed File Systems
Storage Performance Engineering
Filesystem Development
Linux Kernel Development

Programming

Strong proficiency in at least one of:

Experience with at least one scripting language:

Python
Bash

Linux

Strong understanding of:

Linux internals
Filesystems
Memory management
I/O subsystems
Process scheduling
Performance tuning

Distributed Systems

Experience with:

Replication
Fault tolerance
Consistency models
High availability architectures
Distributed debugging

Preferred Qualifications

Storage Technologies

Experience with one or more of:

Ceph
OpenZFS / ZFS
GlusterFS
Object Storage Platforms
SAN
NAS
iSCSI
LVM
NVMe-oF
RDMA

Performance & Observability

Experience using:

perf
eBPF
BPF
pcm
Tracing and profiling tools

Additional Experience

Kernel modules, filesystems, or storage driver development.
High-performance computing (HPC) environments.
Large-scale distributed database infrastructure.
Familiarity with SingleStore or distributed SQL databases.
Experience supporting AI/ML infrastructure workloads.

Pay: ₹4,000,000.00 - ₹5,000,000.00 per year

Application Question(s):

What is your notice period?
Do you have experience in Kernel?

Work Location: Remote

Quick apply

Refine Your Search

database engineer platform engineering jobs in remote

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SQL Developer & ETL, Python Data Engineer - 5+ Years

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