Data Infrastructure Job at Randstad (Bengaluru)

Senior Software Engineer - Data Infrastructure

We build the data and machine learning infrastructure to enable Plaid engineers ...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience
Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration
Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
Demonstrated leadership abilities, including experience mentoring and guiding junior engineers

Job Responsibility

Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
Debugging, troubleshooting, and reducing operational burden for our Data Platform
Growing the team via mentorship and leadership, reviewing technical documents and code changes

What we offer

medical, dental, vision, and 401(k)
equity and/or commission

Fulltime

Junior Data Infrastructure Engineer

As part of the Data Infrastructure team you will be supporting mission critical ...

Location

United Kingdom , Brighton

Salary:

Not provided

Brandwatch

Expiration Date

Until further notice

Requirements

An interest in how computer infrastructure actually works, and a passion for learning
Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
Experience with Linux systems administration, including experience of trouble shooting
Fluency with one or more scripting languages, ideally Bash or Python
Experience helping your peers
Pride in the quality of your work

Job Responsibility

Supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure
Development of tooling and operational support for our platforms
Help with staging support
Join the team supporting the production systems
Take a full part in the life of the team
Start designing the infrastructure we run

Head of Data Infrastructure & Analytics

As our remote Head of Data Infrastructure & Analytics, you will take the helm of...

Location

United States

Salary:

200000.00 USD / Year

Puffy

Expiration Date

Until further notice

Requirements

7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments
Expert-level knowledge: GA4, GTM, server-side tracking, data pipeline architecture, e-commerce tracking
Can diagnose and fix tracking setup errors across the entire stack
Strong technical skills: SQL expert, Python or R proficiency for data validation
Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event-driven architecture
Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks
Proven team leadership: Can manage 3+ person analytics team
Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)
Background in analytics engineering or data reliability engineering
Track record in high-growth e-commerce (sleep, wellness, DTC)

Job Responsibility

Data Quality Infrastructure (Your #1 Priority)
Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error
Build automated validation systems that catch bugs before humans see them
Implement pre-leadership QA processes with hard gates
Create monitoring and alerting
Technical Architecture & Reliability
Design and maintain server-side tracking implementation for attribution accuracy
Architect data pipelines that handle $2M+ monthly ad spend tracking without errors
Own end-to-end data flow: website events → collection → transformation → warehouse → reporting
Establish technical standards

What we offer

Continuous learning
10% monthly bonus
Premium insurance
Achievement recognition
Free snacks and lunches
Generous annual leave
AI tools and tech stack
18+ nationalities
Social events & activities
Learning and development support (we pay for courses you need to upskill)

Fulltime

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
Experience designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
A proven track record of impact-driven problem-solving in a fast-paced environment
A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience working across both technical and non-technical counterparts
Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Job Responsibility

Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

What we offer

equity
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Research Engineer, Data Infrastructure

As a Research Engineer in Data Infrastructure, you will design and implement a “...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems that collect, upload, and manage data from robotic fleets
Familiarity with architectures combining on‑robot components, on‑premises clusters, and cloud systems
Experience with data labeling tools or building tooling for dataset visualization and annotation
Skills in creating or applying machine learning models for dataset organization / automated labeling

Job Responsibility

Optimize operational efficiency of data collection on the NEO fleet
Design triggers on the robot to determine if and when data should be uploaded
Automate ETL pipelines so fleet‑wide data is easily queryable and available for training
Work with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating labeling of very large datasets
Develop machine learning models to automatically label and organize datasets

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Data Infrastructure Engineer

The Data Infrastructure team builds distributed systems and tools supporting Int...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

3+ years of full-time, professional work experience in the data space using Python and SQL
Solid experience building and running data pipelines for large and complex datasets including handling dependencies
Hands-on cloud provider experience (preferably AWS) including service integrations and automation via CLI and APIs
Solid understanding of data security practices and are passionate about privacy
Some DevOps experience
You care about your craft

Job Responsibility

Evolve the Data Platform by designing and building the next generation of the stack
Develop, run and support our data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS
Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs
Develop automation and tooling to support the creation and discovery of high quality analytics data in an environment where dozens of changes can be shipped daily
Implement systems to monitor our infrastructure, detect and surface data quality issues and ensure Operational Excellence

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Data Infrastructure Engineer

Data Infrastructure Engineer – New York or DC (hybrid) – Competitive Salary + Eq...

Location

United States , New York or DC

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
Designing and deploying intuitive, user-friendly APIs
Demonstrated ability to train and deploy models at scale
Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
Handling and securing large-scale production data
Demonstrated proficiency in Python, Go, or C
A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
A passion for innovation and a collaborative spirit

Job Responsibility

Joining as part of the founding Engineering team, you will be a key part of developing secure data sharing middleware
Their software will integrate seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
The data infrastructure engineer requires a mix of software development and ML Ops practices, resulting in an exciting, fast paced engineering role
You will be able to demonstrate experience building, shipping and supporting mission critical services in support of the services that make up the Data platform
This role requires the ability to provide solutions for the full data stack – from the data management, software development and model and deployment lifecycles

What we offer

Competitive Salary + Equity

Fulltime

Data Infrastructure

Randstad

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Requirements:

Additional Information:

Job Posted:
February 17, 2026

Expiration:
March 19, 2026

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