CrawlJobs Logo

Senior Staff Software Engineer - Distributed Systems

Germany · Job Posted February 16, 2026
Apply Position
Job Link Share

Job Description

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Senior Staff Software Engineer to contribute to the technical architecture, design, operation and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization.

Job Responsibility

  • Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands
  • Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team and our SRE teams
  • Drive significant performance, latency, and availability improvements for our data lake services
  • Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance
  • Investigate and resolve fault-tolerance and high availability issues as well as performance and scale challenges both inside and across service boundaries
  • Contribute to open-source projects such as DuckDB and Apache Polaris
  • Embrace Fivetran innovations with open-source standards and toolsets
  • Set technical directions and influence cross-functional teams

Requirements

  • 5+ years of hands-on or research experience maintaining and operating high-performance containerized applications that span multiple services
  • Deep understanding of cloud infrastructure, deployment, service orchestration, software optimizations and performance engineering of highly distributed services
  • Proven track record of leading and delivering large and complicated projects
  • Strong development skills in Java
  • Experience running and debugging Kubernetes containerized services
  • Solid experience with public clouds (AWS, Azure, GCP)
  • Growth mindset and excitement about breaking the status quo by seeking innovative solutions
  • Excellent team player who is consistent in making everyone around you better

Nice to have

  • Hands-on or research experience with high-performance relational data management systems
  • Demonstrated knowledge of columnar storage formats
  • Strongly prefer an MS or PhD in Computer Science

What we offer

  • 100% employer-paid medical insurance*
  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
  • RSU stock grants*
  • Professional development and training opportunities
  • Company virtual happy hours, free food, and fun team-building activities
  • Monthly cell phone stipend
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Staff Software Engineer - Distributed Systems

8 matching positions

Staff Software Engineer, Search & Distributed Systems

We are looking for a Staff Software Engineer who would thrive on being accountab...
Location
Location
USA , Buffalo
Salary
Salary:
165000.00 - 260000.00 USD / Year
acvauctions.com Logo
ACV Auctions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience, with at least 3+ years operating at a Senior or Staff level focusing on distributed systems and high-throughput platforms.
  • Deep, authoritative knowledge of Elasticsearch internals. You have managed large-scale clusters and deeply understand mapping, analysis, query optimization, cluster state management, and split-brain mitigation.
  • Proficiency in the systems upstream and downstream of Search. You have hands-on experience with Kubernetes (EKS/GKE), API Gateway/BFF architectures, and event streams (Kafka).
  • A proven track record of implementing fault-tolerant patterns (retries, rate limiting, circuit breaking, dead letter queues) in microservice architectures.
  • Expert-level ability to instrument systems and diagnose complex performance issues using modern observability stacks (Datadog, Prometheus, Grafana, OpenTelemetry).
  • Strong communication skills with a proven ability to influence cross-functional teams, build consensus around architectural decisions (the Knoster model!), and mentor mid-level and senior engineers.
Job Responsibility
Job Responsibility
  • Architect for Scale: Design, configure, and scale our Elasticsearch clusters. You will define our global strategies for shard routing, Index Lifecycle Management (ILM), heap tuning, and data tiering to support massive auction throughput.
  • Master the Failure Modes: Anticipate and engineer away points of failure. You will design circuit breakers, implement backpressure mechanisms, and tune asymmetric timeouts to prevent retry storms between our BFFs, K8s services, and the Search layer.
  • Expert Troubleshooting & IR: Act as the ultimate technical escalation point for complex, cross-system performance degradation. You will dive deep into JVM metrics, Garbage Collection pauses, K8s network bottlenecks, and slow logs to uncover and remediate root causes.
  • Holistic System Ownership: Manage the entire data lifecycle. You will optimize the ingestion pipelines syncing our event datastreams driven by producers and consumers (Kafka) to Elasticsearch, ensuring eventual consistency and data integrity at scale.
  • Drive Engineering Excellence: Draft authoritative architectural Blueprints, SOPs, and Runbooks. You will elevate the surrounding engineering culture by coaching teams on distributed systems design, observability best practices, and incident management.
  • Modernize & Innovate: Scan the horizon for emerging technologies. You will help evaluate and integrate next-generation search capabilities (e.g., Vector Search, RAG architectures) to support our broader AI and machine learning initiatives.
What we offer
What we offer
  • Multiple medical plans including a high deductible, low cost health plan
  • Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
  • Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance
  • Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
  • Employee Stock Purchase Program with additional opportunities to earn stock in the Company
  • Retirement planning through the Company's 401(k)
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer (Impala Performance Engineer)

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of industry experience in performance related work ideally on large scale distributed systems
  • Understanding of DBMS algorithms and data structure fundamentals
  • Understanding of hardware trends and full stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, distributed systems performance
  • Deep understanding of performance measurement methodologies and performance analysis tools and techniques
  • Strong design and coding skills (Java/C++/Golang/Python preferred)
  • Ability to work in a distributed setting with team members spread across multiple geographies
  • Demonstrated ability to work on large cross-functional projects, including strong communication skills and a collaborative mindset
  • Hands-on experience with containerization and Kubernetes
  • B.S. or M.S. in Computer Science or equivalent experience
Job Responsibility
Job Responsibility
  • Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse stack
  • Work with product managers, developers and the field team to understand performance and scale requirements and customer workload characteristics, and develop benchmarks and related performance analysis tooling based on these requirements
  • Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
  • Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
  • Evaluate performance of competitor systems
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer (Impala Performance Engineer)

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Hungary , Budapest; Szeged; Remote
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of industry experience in performance related work ideally on large scale distributed systems
  • Understanding of DBMS algorithms and data structure fundamentals
  • Understanding of hardware trends and full stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, distributed systems performance
  • Deep understanding of performance measurement methodologies and performance analysis tools and techniques
  • Strong design and coding skills (Java/C++/Golang/Python preferred)
  • Ability to work in a distributed setting with team members spread across multiple geographies
  • Demonstrated ability to work on large cross-functional projects, including strong communication skills and a collaborative mindset
  • Hands-on experience with containerization and Kubernetes
  • B.S. or M.S. in Computer Science or equivalent experience
Job Responsibility
Job Responsibility
  • Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse stack
  • Work with product managers, developers and the field team to understand performance and scale requirements and customer workload characteristics, and develop benchmarks and related performance analysis tooling based on these requirements
  • Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
  • Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
  • Evaluate performance of competitor systems
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right
New

Senior Staff Software Engineer

In this role, you will lead sustaining and performance improvements across Terad...
Location
Location
United States , San Diego
Salary
Salary:
156400.00 - 234700.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in distributed systems, database engine, performance engineering, or large-scale data platforms
  • Strong expertise in diagnosing complex, cross-layer issues involving memory, OS, networking, infrastructure, concurrency, and execution behavior in production environments
  • Deep understanding of system internals (e.g., SQLE, PDE, or equivalent execution/runtime environments)
  • Demonstrated ability to lead technical investigations and influence engineering decisions across teams
  • Strong problem-solving and communication skills in cross-functional engineering environments
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
Job Responsibility
Job Responsibility
  • Lead sustaining and performance improvements across Teradata’s memory and execution systems, ensuring correctness, reliability, and customer trust under complex, large-scale workloads
  • Focus on diagnosing and resolving memory-driven system behaviors that manifest in customer-impacting scenarios, particularly under AI-driven and high-concurrency workloads
  • Drive long-term improvements by identifying systemic gaps in memory behavior and influencing design, validation, and operational practices across the platform
  • Own end-to-end resolution and prevention of classes of customer-impacting issues related to memory pressure, allocation, and execution-path behavior
  • Lead cross-team technical investigations involving SQLE, PDE, OS, networking, infrastructure, and performance teams to resolve complex, system-wide issues
  • Influence engineering decisions through deep technical insights derived from real-world system behavior under memory pressure
  • Diagnose and resolve complex system behaviors driven by memory pressure, resource contention, and cross-layer execution dynamics
  • Identify and resolve cases that appear as SQL Engine issues but originate in memory or execution-layer interactions
  • Provide PDE-adjacent L4 triage and escalation support, particularly for high-severity incidents
  • Drive root cause analysis and translate field learnings into systemic engineering improvements
What we offer
What we offer
  • healthcare
  • life and disability insurance plans
  • 401(k)-retirement savings plan
  • time-off programs
  • Fulltime
Read More
Arrow Right

Senior Staff Engineer Software (Cloud Platform, Production & Reliability – Machine Identity Security)

The Production Engineering team is responsible for building, scaling, and operat...
Location
Location
United States , Santa Clara
Salary
Salary:
126000.00 - 203500.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering (SRE)
  • Strong experience designing and operating cloud infrastructure on AWS, Azure, or GCP
  • Deep expertise managing and scaling Kubernetes environments (EKS, AKS, or GKE)
  • Strong experience with Infrastructure as Code tools (Terraform, Ansible, or Pulumi)
  • Proven experience designing and maintaining complex CI/CD systems (Jenkins, GitLab CI, ArgoCD, GitHub Actions)
  • Strong programming/scripting skills (Python, Go, or similar) for automation and tooling
  • Experience operating in high-scale, 24/7 production environments with ownership of incident response and reliability
  • Solid understanding of Linux systems and networking fundamentals (DNS, TCP/IP, load balancing, VPC, mTLS)
  • Strong problem-solving skills and ability to work across teams
Job Responsibility
Job Responsibility
  • Design, build, and evolve highly available cloud infrastructure platforms with a focus on scalability, resilience, and reliability
  • Lead improvements across production systems, including performance, availability, and incident response
  • Drive and standardize Infrastructure as Code (IaC) practices to improve consistency and reduce operational overhead
  • Design and optimize CI/CD pipelines to support fast, secure, and reliable software delivery at scale
  • Partner with development teams to improve system reliability, observability, and cloud-native design patterns
  • Define and implement monitoring, alerting, and observability strategies across distributed systems
  • Lead incident response efforts, including root cause analysis and long-term remediation strategies
  • Identify and eliminate operational toil through automation and system improvements
  • Mentor engineers and contribute to raising the bar for production engineering practices
What we offer
What we offer
  • restricted stock units
  • bonus
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer (Search)

We are on a mission to build a reliable, fast, and scalable search for DoorDash....
Location
Location
United States , San Francisco, CA; Sunnyvale, CA; Seattle, WA
Salary
Salary:
231200.00 - 340000.00 USD / Year
doordash.com Logo
DoorDash
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. or M.S. in Computer Science or equivalent
  • 10+ years of industry experience, with a track record of leading large-scale, high-impact components and systems
  • Proven ability to drive multi-quarter technical roadmaps as a technical lead, with clear ownership of architectural decisions
  • Deep expertise in distributed systems and data pipelines at scale. Expertise in search infrastructure, including indexing and serving stack
  • Strong understanding of ML systems, embedding-based retrieval, model serving tradeoffs, and multi-stage ranking architectures
  • Strong technical intuition paired with the ability to influence and align cross-functional stakeholders
  • Humility and growth mindset, leading through expertise and collaboration, not hierarchy
Job Responsibility
Job Responsibility
  • Lead at scale: Serve as the uber tech lead for Search, providing technical vision and architectural direction across the entire organization. Own a multi-year roadmap that spans multiple services and teams powering mission-critical products at DoorDash
  • Architect the next-generation search stack: Drive the rebuild of core search infrastructure, including indexing pipelines, embedding-based retrieval, and ML ranker serving in latency-sensitive paths. This stack will power both consumer search and agentic commerce experiences at DoorDash scale
  • Influence across teams: Drive alignment across ML, Infrastructure, Product, and partner engineering teams. Mentor staff and senior engineers across the search org to raise the bar of technical excellence
  • Shape engineering culture: Set the technical bar for how the search org designs, ships, and operates large-scale systems, and define the patterns that will outlast any single project
  • Hands-on problem solving: Dig into complex distributed systems challenges, from low-latency serving to indexing freshness tradeoffs, and write code that moves the needle
What we offer
What we offer
  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off and paid sick leave in compliance with applicable laws
  • medical, dental, and vision benefits
  • 11 paid holidays
  • disability and basic life insurance
  • family-forming assistance
  • mental health program
  • Fulltime
Read More
Arrow Right

Senior Staff Software Engineer - Financial Products (Backend)

The Financial Products team is seeking a Senior Staff Software Engineer (Backend...
Location
Location
United States , Sunnyvale
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related technical field
  • 10+ years of professional full-time software engineering experience
  • Strong expertise in modern backend languages—specifically Go, Java, or C++
  • Master’s degree in Computer Science, Engineering, or a related field
  • Proven track record of designing, building, and maintaining high-scale, resilient distributed systems
  • Prior experience building mission-critical financial services software (e.g., payments, lending, credit cards, or trading platforms)
  • Experience leading senior engineering teams and fostering a culture of technical rigor and rapid delivery
Job Responsibility
Job Responsibility
  • Architect & Innovate: Partner with Product, Design, and Business leadership to translate ambitious product visions into scalable, high-concurrency backend solutions
  • Technical Leadership: Serve as the primary technical authority for the team, steering architectural choices, overseeing rigorous code reviews, and ensuring system reliability
  • Engineering Excellence: Champion and implement industry-best practices for code health, automated testing, and long-term maintainability
  • Scale Systems: Build and optimize frameworks that support Uber's global scale, ensuring financial transactions remain seamless and secure
What we offer
What we offer
  • Bonus program
  • Equity award & other types of comp
  • Various benefits
  • Fulltime
Read More
Arrow Right

Senior Staff Engineer Software

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute ...
Location
Location
Israel , Tel Aviv
Salary
Salary:
Not provided
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building and maintaining production-grade distributed systems
  • Proficiency in Go (Golang) is a strong advantage
  • We are open to engineers with deep expertise in other backend languages (Java, Python, Rust, C#, or Node.js) who are willing to transition to a Go-primary stack and have a focus on clean, well-tested code
  • Strong grasp of system design, data structures, and algorithms in high-scale cloud environments
  • Experience with CI/CD, comprehensive testing (unit, integration, E2E), and rigorous code reviews
  • Proficiency in AWS, GCP, or Azure, including cloud-native services
  • Experience with observability (monitoring, logging, tracing) and system profiling
  • B.Sc. or M.Sc. in Computer Science, Software Engineering, or equivalent technical/military experience
Job Responsibility
Job Responsibility
  • Contribute to the development and scaling of cloud-native security solutions for enterprise organizations
  • Work within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards
  • Write reliable code, influence product direction, and design distributed systems
  • Make technical decisions that impact the long-term stability and performance of cloud workload protection services
  • Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment
  • Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase
  • Maintain Quality Standards: Critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks
  • Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks
  • Fulltime
Read More
Arrow Right