Amplitude
Staff Software Engineer
Vaga remota de Engineering : Data com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis3 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáMéxicoEstados Unidos
Resumo da vaga
Staff Software Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What You’ll Do
- Work across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management.
- Design and implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions.
- Design for high-throughput automated query workloads — as AI agents become a primary source of queries, ensure Nova’s architecture supports sustained, concurrent, and programmatic query patterns at scale.
What You’ll Do
- Own and execute projects that materially reduce infrastructure cost — compute, storage, network, and memory — while maintaining or improving latency and throughput.
- Profile and optimize JVM performance: GC tuning, memory management, concurrency, and data layout decisions that compound at our scale.
- Build guardrails and observability to catch expensive or pathological queries before they impact the system.
What You’ll Do
- Strengthen Nova’s reliability posture: identify systemic failure modes, drive durable fixes, and raise the bar on how we detect and respond to production issues.
- Participate in on-call rotation to root-cause incidents and turn one-off fixes into architectural improvements.
- Contribute to capacity planning, safe rollout practices, and the operational tooling that keeps Nova healthy.
What You’ll Do
- Lead the design and execution of multi-month projects that improve Nova’s architecture, performance, or capabilities.
- Contribute to technical direction through design docs, architecture discussions, and code reviews — helping the team make principled tradeoffs.
- Mentor senior engineers on distributed systems thinking, production debugging, and system design.
- Collaborate with Product, Middleware, Data Pipeline, and other engineering teams to ensure Nova’s capabilities translate into customer value.
Who You Are
- Gets energy from working deep inside a complex distributed system — understanding how data flows through it, where the bottlenecks are, and how to make it meaningfully better.
- Has built or significantly extended an OLAP engine, columnar database, query processor, or large-scale data processing system — not just operated one.
- Thinks about cost, performance, and reliability as interconnected concerns, not separate workstreams.
- Communicates clearly about technical tradeoffs and earns influence through the quality of your work and ideas, not through title.
- Finds it natural to help other engineers level up — through pairing, design reviews, or just being the person who explains the “why” behind a system’s design.
Qualifications
- 7+ years of industry experience in backend or infrastructure engineering, with depth in distributed data systems.
- Hands-on experience building or extending analytical/OLAP systems — query engines, columnar storage, large-scale data processing frameworks, or equivalent.
- Track record of driving significant cost optimization on cloud infrastructure at scale (compute, storage, network).
- Strong computer science fundamentals: distributed systems (partitioning, replication, consistency, failover), data structures and algorithms, concurrency and multi-threading, performance optimization.
- Production experience with modern cloud infrastructure — AWS (S3, DynamoDB, EC2), Kafka, Redis/ElastiCache, Kubernetes, Terraform — or strong equivalents.
- Proficiency in Java, C++, or Python.
- Demonstrated technical influence beyond your immediate team: leading design discussions, driving cross-team alignment, mentoring engineers.
Qualifications
- Experience with specific OLAP or query engine systems: Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake, or similar.
- Deep JVM expertise — GC tuning, profiling, memory optimization at production scale.
- Experience with columnar data formats and encodings (Arrow, Parquet, ORC, or custom formats).
- Familiarity with product analytics, experimentation platforms, or event-driven data systems.
- Contributions to open-source data infrastructure projects or published work in the data systems space.
Our values:
- Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
- Ownership: We take the initiative to solve problems that drive our shared company success.
- Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
- Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.
Our values:
- Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
- Flexible time off, paid holidays, and more
- Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual), and much more
- Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
- Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only)
- Employee Stock Purchase Program (ESPP)
Our values:
- Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
- We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
- We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
- We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
- We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
- We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
- Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.
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