We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

As a Software Engineer at Checkr, you will work on high impact engineering projects that help build a fairer future for all. You will work in a collection of small services built on Ruby and Javascript, with both SQL and NoSQL databases, as well as message queues for asynchronous tasks. Checkr was founded by engineers for engineers; we want to create the best environment for developers to build, learn and love their work.

What you’ll do:

• Own the product development of features from design, implementation, to release
• Partner with product, design and other stakeholders in designing new features
• Collaborate with other engineers in architecting and implementing new features
• Design, develop, test, deploy, maintain, and improve our products
• Deliver performant, reliable, scalable, and secure code capable of supporting hundreds of thousands of transactions a day
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Develop new end to end web applications
• Instrument and deploy new product experiments with a data-driven mindset

What you bring:

• 2+ years of full stack software development experience
• Proficiency in Ruby and Javascript/React (or similar languages/frameworks)
• Proficiency with test frameworks and automation (e.g. Cypress)
• Passionate about XP practices, Domain Driven Design, and Continuous Delivery
• Experience developing RESTful APIs. Experience with Elasticsearch nice to have
• Bonus points for experience with in-house component-based design systems
• Strong documentation skills
• A strong sense of ownership from feature design through production release
• A desire to collaborate with external stakeholders
• An eagerness to learn, collaborate, improve, innovate, and have fun
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

How you will make an impact:

Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK).

We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure.

How you will make an impact:

• Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost.
• Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters.
• Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable.
• Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention.
• Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements.
• Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch.

What you'll bring:

You likely have many of the experiences below, but not necessarily all of them:

• Hands-on Elasticsearch expertise in production:
• Supporting customer-facing features or platforms backed by ES
• Designing schemas and queries for high-cardinality, multi-tenant workloads
• Operating large clusters (capacity planning, scaling, incident response)
• Multi-tenant platform experience:
• Building shared data services used by multiple product teams
• Implementing rate limits, quotas, and noisy-neighbor protections
• Thinking in terms of contracts and SLOs, not one-off integrations
• Strong distributed systems background:
• JVM-based services (Scala/Java) and event-driven or streaming architectures
• Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches
• Staff-level impact and collaboration:
• Leading cross-team projects from design through rollout
• Translating technical decisions into clear business and product trade-offs
• Clear written communication (RFCs, design docs, post-incident reviews)

Nice To Have:

• Experience with Scala and the Play framework or similar JVM stacks.
• Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems).
• Exposure to FinOps / infra cost optimization in data-heavy systems.
• Experience in MarTech / AdTech or other high-volume, low-latency data domains.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,00 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.