Senior Software Engineer, Streaming Platform Job at Sentry (San Francisco)

Senior Principal Data Platform Software Engineer

We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a k...

Location

Salary:

239400.00 - 312550.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
Demonstrated experience building and operating data platforms or large‑scale data services in production
Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
Strong programming skills in one or more of: Kotlin, Scala, Java, Python
Experience leading cross‑team technical initiatives and influencing senior stakeholders
Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Job Responsibility

Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Software Engineer, Wikidata Platform

The Wikimedia Foundation is seeking a Senior Software Engineer to join the team ...

Location

Salary:

141352.00 - 175725.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

5+ years of experience as a backend or platform engineer working on distributed systems or data platforms
Deep understanding of database and knowledge graph representation technologies and standards
Proficiency in Java, C++, or other systems languages. Ability to set up, scale, and investigate systems is more important than expertise in a particular language.
Experience building and operating production-grade services with SLOs
Familiarity with modern observability tools (metrics, logging, tracing)
Understanding of graph databases, search indexes, or data processing pipelines
Ability to work collaboratively across disciplines and communicate clearly across technical and non-technical audiences
A commitment to learning, resilience, and contributing to a mission-driven engineering culture

Job Responsibility

Design, build, and maintain backend systems and APIs that power Wikidata’s query infrastructure
Improve reliability, observability, and automation of the Wikidata Query Service and data pipelines
Collaborate with SRE, data engineers, and product teams to ensure stability and scalability under growing usage
Monitor production systems, respond to operational incidents, and proactively identify and resolve bottlenecks
Support platform migrations and system upgrades (e.g., triple stores, streaming ingestion)
Contribute to deployment automation, CI/CD workflows, and service instrumentation
Participate in code reviews, design discussions, and technical planning
Document systems and share knowledge with team members and Wikimedia’s broader technical community

Fulltime

Senior Software Engineer, Experience Platform Team

The Experience Platform team is looking for a full-stack/backend software engine...

Location

United States , New York City

Salary:

Not provided

Pinecone

Expiration Date

Until further notice

Requirements

At least 5 years of experience in full-stack or backend development (NodeJS, Rust, Python, or Go)
Experience with queueing and streaming technologies like Kafka, Kinesis, or Pub/Sub
Familiarity with creating web interfaces with React or other frontend frameworks
Expertise in event-driven system design and distributed systems principles
Proficiency in building reliable data processing pipelines for usage tracking and reconciliation
Familiarity with integrating third-party APIs and handling inconsistent data
Hands-on experience with one or more major cloud providers (AWS, GCP, Azure), especially services related to data streaming, serverless compute, and data storage
Strong understanding of RESTful API design

Job Responsibility

Design event-driven architectures and distributed systems for reliable real-time and batch event processing
Develop queueing and streaming systems (e.g., Kafka, Kinesis) with robust event handling mechanisms
Build pipelines for ingesting, transforming, and aggregating usage data, ensuring accuracy and reliability
Integrate with external APIs and vendor systems, designing for resiliency against outages or inconsistent data
Create auditable and observable systems with monitoring, alerting, and verification mechanisms
Implement end-to-end user experiences across multiple services and web applications

What we offer

Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend