San Francisco, CA

Developer Jobs in San Francisco, CA

4 jobs found

Include remote jobs

2d ago

Software Engineer (Data & Evals)

RediRecruit San Francisco, CA

San Francisco, CA

2d ago

$180k - $250k/yr Full time Big Data Data Engineer Data Platform

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Job Description

Onsite in San Francisco, RediRecruit invites a Software Engineer focused on Data and Evals to build and scale data infrastructure for large-scale AI and ML systems. This role centers on speech-to-speech data pipelines and productionizing research within a collaborative, in-person team environment.

Benefits

Competitive base salary of USD 180,000 to 250,000 per year
Significant equity as an early founding team member
Immigration support
Fully covered medical, dental, and vision insurance
401(k) retirement plan
In-person teamwork in San Francisco
Opportunity to work with 100+ TBs of data and large-scale AI models
Small team with high ownership and fast decision-making

Responsibilities

Build and scale infrastructure and distributed data pipelines for large-scale AI/ML systems
Process and manage tens to hundreds of terabytes of multimodal data
Support data systems used for training, evaluation, and improvement of speech-to-speech AI models
Work on batch processing, real-time streaming, and distributed orchestration systems
Build reliable pipelines for speech data transformation, filtering, evaluation, and model improvement
Collaborate closely with a small, high-performing engineering and research team
Help move cutting-edge AI research into real-world production environments

Requirements

Experience building infrastructure and distributed data pipelines to process tens to hundreds of terabytes of data
Experience working with multimodal data in AI/ML products or systems
Strong experience with batch processing, real-time streaming systems, and distributed orchestration
Hands-on experience with tools or technologies such as Spark, Kafka, Flyte, Kubernetes, or similar systems
Strong software engineering fundamentals and ability to build reliable, scalable systems
Demonstrated ability to learn quickly and adapt in a fast-paced startup environment
Strong ownership mindset and ability to work independently with high autonomy
Must be comfortable working in person with the team in San Francisco

Technologies

Spark
Kafka
Flyte
Kubernetes

Interview process

30 minute introductory conversation
Two technical interviews
Two culture interviews
Onsite collaboration session with the team to work on a data system

Nice to have

Early-stage startup experience
Independent project, startup, side hustle, or open-source work
Experience creating transformation pipelines for speech processing
Experience with transcription, diarization, speech enhancement, filtering, or audio data processing
Experience working with large-scale AI models or machine learning infrastructure
Interest in voice AI, speech systems, conversational AI, or multimodal AI products

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3d ago

Senior Software Engineer, Data Engineering

DoorDash USA San Francisco, CA

San Francisco, CA

3d ago

$131k - $192k/yr Full time Senior Big Data Data Engineer

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Job Description

Senior Data Engineer role at DoorDash focusing on scaling data infrastructure, automation, and pipelines, with a hybrid setup near San Francisco, Sunnyvale, or Seattle.

Responsibilities

Collaborate with business partners and stakeholders to capture data needs and requirements
Coordinate with engineering, product teams, and external partners to gather necessary data
Architect and build scalable, high volume data models and pipelines for Data Lake and Data Warehouse environments
Create and enforce data quality checks, perform QA, and implement monitoring routines
Enhance the reliability and scalability of ETL processes
Oversee a portfolio of data products delivering accurate and trustworthy data
Onboard and mentor new engineers joining the team

Requirements

5+ years of professional experience
3+ years in data engineering, business intelligence, or a similar role
Proficiency in programming languages such as Python or Java
3+ years using ETL orchestration and workflow management tools such as Airflow, Flink, Oozie, and Azkaban on AWS or GCP
Strong foundation in database fundamentals, SQL, and distributed computing
3+ years in distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies like Kafka or Flink
Experience with Snowflake, Redshift, PostgreSQL or other DBMS platforms
Excellent communication skills and experience collaborating with technical and non technical teams
Knowledge of reporting tools such as Tableau, Superset, and Looker
Comfortable in a fast paced environment, self starter and self organizing
Ability to think strategically and analyze market and consumer information
Must be located near one of the engineering hubs listed above

Technologies

Python
Java
Airflow
Flink
Oozie
Azkaban
AWS
GCP
Spark
Hive
Druid
Presto
Kafka
Snowflake
Redshift
PostgreSQL
Tableau
Superset
Looker

Benefits

Premium healthcare
Wellness expense reimbursement
Paid parental leave

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5d ago

Senior Software Engineer

Amplitude San Francisco, CA

San Francisco, CA

5d ago

$165k - $276k/yr Full time Backend Developer Senior Clickhouse

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Job Description

Senior Software Engineer role at Amplitude based in San Francisco, CA (onsite). Compensation: USD 165,000 - 276,000 per year. This position centers on the Nova OLAP engine, owning query execution, columnar storage, distributed compute, caching, and cloud infrastructure to enhance performance, cost efficiency, and reliability for a large-scale analytics platform.

Responsibilities

Contribute to Nova's query execution and distributed compute stack, including query planning, columnar storage formats, encoding and compression, caching, and cluster level resource management.
Develop new capabilities as Nova broadens support for additional warehouse-imported data types such as metrics, profiles, and dimensions.
Ensure Nova components withstand high throughput automated query workloads, including queries from AI agents, by designing for sustained, concurrent, and programmatic query patterns at scale.
Lead initiatives to reduce infrastructure costs across compute, storage, network, and memory while maintaining or improving latency and throughput.
Profile and optimize JVM performance through GC tuning, memory management, concurrency, and informed data layout decisions.
Build guardrails and observability to detect expensive or pathological queries before they impact system performance.
Strengthen the reliability of owned Nova components by identifying failure modes, delivering durable fixes, and improving production issue detection and response.
Participate in on-call rotations to root-cause incidents and transform one-off fixes into lasting improvements.
Contribute to capacity planning, safe rollout practices, and the operational tooling that sustains Nova's health.
Design and execute multi-week to multi-month projects within your area of ownership.
Contribute to technical direction through design docs, architecture discussions, and code reviews.
Collaborate with senior and staff engineers to learn and share knowledge with peers through pairing and design discussions.
Work with Product, Middleware, Data Pipeline, and other engineering teams to ensure Nova capabilities translate into customer value.

Requirements

Minimum 3 years of professional experience in backend or infrastructure engineering with exposure to distributed data systems.
Hands-on involvement in building or extending distributed data systems such as query engines, columnar storage, large-scale data processing frameworks, streaming systems, or storage engines.
Experience improving cost or performance on cloud infrastructure including compute, storage, and network.
Strong computer science fundamentals in distributed systems (partitioning, replication, consistency, failover), data structures and algorithms, concurrency and multi-threading, and performance optimization.
Production experience with modern cloud infrastructure such as AWS (S3, DynamoDB, EC2), Kafka, Redis/ElastiCache, Kubernetes, Terraform, or strong equivalents.
Proficiency in Java, C++, or Python.
Demonstrated ability to own and ship substantial components of complex systems and collaborate effectively with engineers and partner teams.

Technologies

Nova
AWS, S3, DynamoDB, EC2
Kafka
Redis, ElastiCache
Kubernetes
Terraform
Java, C++, Python
Druid, ClickHouse, Presto/Trino
BigQuery, Snowflake
Arrow, Parquet, ORC

Benefits

Comprehensive medical, dental, and vision coverage with premiums fully paid by the employer for employee plans on select options
401(k) retirement plan with an employer match of up to 1% of eligible pay per pay period, up to $2,000 annually
Flexible time off, paid holidays, and additional benefits
Generous stipends for wellness, commuter costs, learning and development, new hire home office equipment, and more
Parental benefits including 12 weeks of paid parental leave, Carrot Fertility benefits for adoption or surrogacy, and backup childcare support
Mental health and wellness benefits with no-cost access to Modern Health coaching and therapy sessions
Employee Stock Purchase Program (ESPP)

Who you are

You enjoy working inside a complex distributed system, understanding data flow, bottlenecks, and ways to make it substantially better.
You have hands-on experience building or extending distributed data systems such as query engines, columnar storage, streaming or batch processing frameworks, or storage engines.
You view cost, performance, and reliability as interconnected concerns rather than isolated tasks.
You communicate technical tradeoffs clearly and aim to influence through high-quality work and ideas.
You value learning from teammates and helping others through pairing, design reviews, or explaining the rationale behind system designs.

Nice to have

Experience with OLAP or query engine systems such as Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake, or similar
JVM expertise including GC tuning, profiling, and memory optimization
Familiarity with columnar data formats and encodings such as Arrow, Parquet, ORC, or custom formats
Knowledge of product analytics, experimentation platforms, or event-driven data systems
Contributions to open-source data infrastructure projects or related publications

Our Values

Humility: We approach collaboration with empathy and openness, seeking diverse perspectives.
Ownership: We take initiative to solve problems that advance the company’s success.
Growth Mindset: We persist through challenges and welcome feedback to develop ourselves and others.
Customer Centricity: The customer sits at the center of our decisions and actions.

Other Fun Facts About Amplitude

Our customers rate us highly as the leading product analytics solution for 23 quarters running on G2.
We invest in talent and infrastructure to build a powerful AI analytics platform and foster product innovation.
We support mentorship, management training, and wellness initiatives to develop our people.
We offer charitable giving grants and paid volunteer time off for all employees.
Founded in 2012, we went public via direct listing in September 2021 and trade under the ticker AMPL.
We are a global team with offices in multiple cities worldwide, including San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
Our Data Monster mascot embodies our love for numbers, charts, and graphs.

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10d ago

Software Engineer - Team Vault

Clipboard San Francisco, CA

San Francisco, CA

10d ago

$180k - $400k/yr Full time Backend Developer Engineer Engineering

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Job Description

Clipboard is seeking a Software Engineer to join the Vault team in San Francisco to build and own the financial infrastructure for the healthcare staffing marketplace.

Responsibilities

Own and optimize payment flows, including instant pay and facility invoicing and billing workflows
Design and implement fraud detection and prevention capabilities
Develop invoicing and reconciliation logic to ensure workers are paid accurately and facilities are billed correctly
Collaborate with operations and finance stakeholders to understand the business impact of the financial systems on facilities and workers

Requirements

Strong focus on correctness with a customer first mindset
End to end ownership of high stakes systems and willingness to own them when incidents occur
Prior experience with transaction systems, payment infrastructure, and handling financial data at scale is a plus

Technologies

Node/NestJS
TypeScript
MongoDB
Postgres
Redis
AWS (ECS, Terraform)

The Vault Team

Vault owns the financial infrastructure that powers Clipboard's marketplace, including worker payouts, instant pay, facility invoicing, fraud controls, and billing operations. When a worker completes a shift, Vault ensures payments are issued on time.

Interview Process

Take‑home PR assessment about 60–90 minutes, followed by a live discussion
Second take‑home task (technical design or a second PR) with a live follow‑up
Hiring manager interview
Final culture screen with our Head of People

Security note

Clipboard would never ask for money or bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team.

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Developer Jobs in San Francisco, CA

Software Engineer (Data & Evals)

Senior Software Engineer, Data Engineering

Senior Software Engineer

Software Engineer - Team Vault

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