Staff Software Engineer, Data Platform Job at Scale (San Francisco)

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Software Engineer Staff

This role has been designed as ‘Hybrid’ with an expectation that you will work o...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

BTech / MTech in CS/CE or related field with 12+ years of proven experience
In-depth knowledge of data networking, e.g., TCP/IP, Ethernet, Packet forwarding, Routing etc.
Proficiency with device drivers, system bring-up, FreeBSD/Linux internals
Understanding of Ethernet, OTN, SONET etc. technologies desired
Strong technical, analytical, and problem-solving skills
Strong in C, C++ programming, OO analysis & design, data structures and system debugging skills
Good understanding of firmware, hardware level details for Optics, PCIe, SPI, I2C, Retimers, FPGA, CPLD, MDIO, Flash Driver
Prior software development experience on networking products would be a plus

Job Responsibility

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products
Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
Determines hardware compatibility and/or influences hardware design
Board-bring up related experience
10G, 40G, 100G and 400G interface related platform software
Platform infrastructure related software like Chassis/line card, fabric, Optics, HA etc.
Networking knowledge of L2, L3, Packet forwarding etc.
Responsible for these product developments in the platform area in either JunOS or Junos Evoled based software architecture
Work closely with system and solution test teams to ensure products/solutions delivered are with highest quality
Work closely with HPE Technical Assistance Team for providing engineering assistance in supporting critical customer escalations for customer deployments

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Software Engineer Staff

This Software Engineer Staff will be engaged in data science-related research an...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Utilize analytical and programming skills and open-source systems, such as Apache Storm, Apache Spark, Elasticsearch, Cassandra, Graph DB etc. develop data processing pipeline required efficacy and latency
Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine
Require the experience to develop the reusable and highly scalable data processing component
Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
Develop good quality python APIs to support micro services
Require the knowledge of APIs to various No SQL storage systems, Elasticsearch, Cassandra, and Redis, etc.
Good understanding Python Flask web service and be able to develop good quality code
Troubleshoot production environment and customer reported issues
Require the knowledge of the multi-cloud production environment
Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink

Job Responsibility

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products
Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools
Determines hardware compatibility and/or influences hardware design
Engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology and autonomous platform to provide an unprecedented visibility into the user experience
Collaborate with other engineers and product managers to build the next generation of autonomous Wi-Fi networks leveraging big data and predictive models
Use knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, and classify them in real-time
Leverage the data collected from the Wi-Fi network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot
Determine the likelihood of failures across the Wi-Fi network and performing failure scope analysis

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Software Engineer Sr Staff - Platforms Developer

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, electronics, telecommunication engineering, or a related discipline
14 to 19 years of experience in networking and system software development
Proficiency in C and C++ programming
Familiarity with data structures and system debugging techniques
Expertise in Host Complex, System Peripherals & Drivers: CPU complex (x86)
PCIe, SPI, I2C, MDIO
FPGA, CPLD, Flash Drivers
Expertise in Ethernet Interfaces (ranging from 1Gig to 400G+, including 800G, 1.6T), MacSec, Timing, Optics (SFP, QSFP, QDD, OSFP)
Expertise in High-speed packet forwarding with network processors, PHYs, and SerDes
Cloud Architectures

Job Responsibility

Collaborate with product managers, architects, and other engineers to define software requirements and specifications
Design, implement, and maintain networking and system software components using C and C++ programming languages
Conduct object-oriented analysis and design to ensure robust and scalable solutions
Debug complex system-level issues, leveraging your deep understanding of fundamental OS concepts (especially in Linux or similar operating systems)
Participate in hardware and system-level design discussions, ensuring carrier-class software development
Work with Linux device drivers, system bring-up, and the Linux kernel
Navigate large codebases effectively
Apply strong technical, analytical, and problem-solving skills to enhance software performance and resilience
Utilize scripting technologies and modern DevOps practices
Collaborate with cross-functional teams, including networking, embedded platform software, and hardware experts

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Staff Backend Software Engineer - Partner Platform

Addepar is seeking a Staff Backend Software Engineer to join our Partner Platfor...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Addepar

Expiration Date

Until further notice

Requirements

Strong programming experience (preferably in Python)
Solid background in databases and working with large datasets (e.g. Spark, other big data frameworks)
Excellent communication and cross-functional collaboration skills

Job Responsibility

Build scalable data integration pipelines that support mission-critical projects across the organization
Own and contribute to end-to-end engineering projects using the Addepar data lakehouse
Partner with stakeholders across analytics, operations, and product to deliver solutions that directly impact clients and business teams
Participate in the design, development, and optimization of tools and systems for account conversions, historical data imports, and embedded integrations
Maintain and expand the foundational codebase supporting the data lakehouse ecosystem

What we offer

Reasonable accommodation for individuals with disabilities
Commitment to equal opportunity and diversity
Global flexible workforce model

Staff Software Engineer, Backend

The Staff Engineer will work closely with AI/ML engineers, product managers, app...

Location

United States , NYC

Salary:

160000.00 - 190000.00 USD / Year

Conductor

Expiration Date

Until further notice

Requirements

Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience
8+ years of experience in software development, with experience in product-driven companies
Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications
Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued
Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques
Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks
Knowledge of MLOps practices, model deployment, and AI system integration in production environments
Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment
Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams
Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks

Job Responsibility

Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth
Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards
Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently
Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks
Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices
Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions
Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery
Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows
Mentor senior and junior engineers, fostering technical excellence and knowledge sharing within the engineering organization

What we offer

100% covered employee medical plan
a dental & vision plans
401(k) with employer contribution
an unlimited vacation policy
10 sick days
short-term disability
long-term disability
generous paid parental leave
employee assistance program
flexible savings accounts

Fulltime

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Software Engineer, Data Platform

Scale

Location:
United States , San Francisco ▼
Seattle
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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