The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

#LI-Remote

About Nubank

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the role

The Traffic Management team keeps Nubank’s customer‑facing and internal services reachable and secure. It is the layer that routes and protects every service request, from mobile app entry points to service‑to‑service calls across all our regions and environments. This function owns the strategy and execution for our service mesh ensuring our products can scale safely as we grow and expand. In this role, you will drive the reliability, scalability and security of this critical platform, evolving our service mesh, strengthening resilience and observability, and pushing our capabilities so that product teams can ship quickly without compromising stability.

You'll be responsible for

• Lead and Deliver end‑to‑end milestones on the traffic platform, from problem definition to rollout and follow‑up, breaking complex problems into clear tasks and keeping progress and risks visible for the team and key stakeholders.
• Take ownership of complex and sometimes ambiguous problems, analyzing options and trade‑offs, and proposing clear, pragmatic solutions that balance reliability, performance, security and effort.
• Ensure the stability and quality of what you and the team ship: design with failure in mind, put the right tests and observability in place, and react quickly to incidents, driving follow‑ups that prevent them from happening again.
• Collaborate with engineers, product and partner teams to understand needs, align on priorities and turn them into clear technical plans and milestones that are connected to the team’s goals.
• Use AI and agents in an AI‑first way in your routine to investigate issues, write and review code, explore solution options and automate repetitive work, helping the squad adopt safe, effective AI workflows rather than just individual usage.
• Create and maintain clear technical documentation and runbooks that help other engineers understand, use and operate the traffic platform with confidence, and share knowledge through reviews, sessions and participation in function‑level initiatives.
• Help other engineers grow by giving and receiving feedback through code reviews, design discussions, pairing and day‑to‑day collaboration, acting as a reference for good engineering practices inside the team.
• Participate in support and on‑call routines for the area, using incidents, tickets and metrics as input to suggest and drive medium‑term improvements to the platform and to how we work.

We Are Looking for a Person Who Has

• Operated large-scale, high-performance synchronous distributed systems in the cloud, working directly with load balancers, reverse proxies, TLS/mTLS and routing, and using metrics, logs and traces to debug issues, optimize performance and improve overall reliability.
• Worked hands-on with Kubernetes-based infrastructure and Infrastructure-as-Code tooling — defining and evolving manifests, routing and deployment strategies, and managing DNS configuration — with a solid understanding of how these pieces fit together to deliver resilient traffic paths in production.
• Uses AI as part of their daily engineering workflow, leveraging AI tools and agents to investigate issues, write and review code, explore solutions and automate repetitive work, while consistently validating outputs and holding quality and safety as non-negotiable standards.
• Led end-to-end infrastructure platform projects from design to production go-live, breaking work into clear milestones, coordinating across stakeholders, managing risks and trade-offs, and following through post-rollout to stabilize and evolve the solution.
• Experience with Istio or other service-mesh technologies such as Linkerd or Envoy-based solutions — or legacy stacks like Finagle — designing and evolving traffic policies, resilience features and observability for service-to-service communication.
• Worked with AWS networking and compute primitives (ALB/NLB, security groups, VPC, Route 53, IAM) in production environments, with an understanding of how these layers interact with application traffic.
• Hands-on experience using Infrastructure-as-Code tools such as Pulumi or Terraform to design, version and roll out changes to cloud and Kubernetes infrastructure in a safe, repeatable way.
• Previously built platform capabilities or shared libraries for other engineers — abstractions, SDKs or internal tooling — that make it easier and safer for product teams to consume traffic and networking capabilities at scale.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the Role

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

Key Responsibilities

• Enterprise Automation & Platform Engineering:
  • Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
  • Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
• AI & "Vibe Coding" Governance:
  • Drive the technical strategy for AI adoption within engineering workflows.
  • Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
  • Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Internal Tooling Standards:
  • Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
  • Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Cross-Functional Technical Leadership:
  • Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

What are we looking for?

Technical Skills

• Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

• Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).

• Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

• AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).

• Advanced English

Behavioral & Strategic Skills

• Governance-Aware: You understand that "efficiency" must be balanced with "security." You can design systems that are safe by default without destroying developer velocity.
• Problem Solver: You are comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
• Multiplier: You enjoy documenting your work, creating "Golden Paths" for other engineers, and teaching others how to use the tools you build.

Location

• Durham, United States
• Miami, United States
• Palo Alto, United States
• Washington DC, United States

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Work Model for this Role

Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Location-Specific Disclosures

• Palo Alto: Total compensation includes base salary, RSUs and benefits. Base salary range: $11,712 - $17,568

Who We Are  

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).  

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.  

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.  

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 

Staff Site Reliability Engineer 

Reports To 

Site Reliability Engineering Manager 

The Job 

We are seeking a capable, motivated generalist who thrives in a change-controlled, compliant environment and enjoys working across hybrid cloud and on-premises systems. This role partners closely with application architecture and peer engineering teams while contributing hands-on across platform engineering, DevOps, and SRE. 

This position is expected to take ownership of complex technical initiatives and see them through to completion—balancing hands-on implementation with effective delegation and cross-team coordination. 

Responsibilities 

• Lead end-to-end delivery of complex technical initiatives, from problem definition and design through implementation, rollout, and operation 
• Own the design, implementation, and reliability of systems across hybrid cloud and on-premises environments  
• Take accountability for technical outcomes, including system reliability, scalability, and performance in regulated, change-controlled environments  
• Drive execution by coordinating work across engineers and teams, delegating effectively while remaining hands-on where needed  
• Partner with application architecture and peer teams to shape system design and influence technical decisions  
• Build, deploy, and operate infrastructure and applications using automation and infrastructure as code  
• Implement secure, immutable infrastructure using modern tooling (e.g., Terraform, Kubernetes, Helm, Ansible)  
• Improve observability, monitoring, and incident response practices  
• Establish and promote best practices for reliability, security, and operational excellence across teams  
• Mentor engineers and contribute to raising the technical bar across the organization  
• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization  
• Performs other duties as assigned 

Qualifications 

• Bachelor's degree in Computer Science or a related field, 7+ years of experience, or equivalent demonstrated impact in SRE, DevOps, or Infrastructure Engineering 
• Broad technical experience across infrastructure and distributed systems, with the ability to design effective solutions, apply appropriate patterns, and anticipate scaling, reliability, and operational challenges  
• Strong understanding of distributed systems behavior, including application runtime characteristics, service-to-service communication, networking, and failure modes in production environments  
• Experience operating in regulated, compliant, or change-controlled environments  
• Experience working in hybrid environments (AWS preferred; on-premises infrastructure required)  
• Strong experience with Infrastructure as Code, configuration management, and orchestration tools (Terraform, Helm, Kustomize, Ansible)  
• Experience with Kubernetes and virtualization technologies  
• Experience with observability platforms (e.g., Datadog), including building monitoring and alerting integrations  
• Experience with build and release systems (e.g., GitHub Actions, Makefiles, Python tooling)  

Location  

To be considered for the role you must reside near Miami, FL or Austin, TX.  

Travel 

Occasional travel may be required 

Work Environment  

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role may also travel to data center sites, and the work environment at a data center may contain loud noise, construction, and other operational elements. 

Physical Demands  

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.    

Position Type/ Expected Hours of Work  

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. The employee is expected to be available generally around U.S. time zones and will be part of an on-call rotation. The current rotation is 1 week every 5 weeks. 

Supervisory Experience (Yes or No)  

No 

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Platform Engineering Lead builds and operates Rumble’s Internal Developer Platform (IDP) as an internal product that abstracts infrastructure complexity, standardizes golden paths,
and accelerates developer velocity while supporting both DevOps and SRE practices

Key Responsibilities
• Lead the Platform Engineering Team.
• Design, deliver, and continuously evolve the self-service IDP: CI/CD golden paths, IaC templates (Terraform/Ansible), Kubernetes abstractions, pre-configured environments, monitoring
integrations, code repository environment and cloud-resource abstractions for Rumble Cloud.
• Treat the IDP as a product: run user interviews with Development and Production Ops squads, maintain a public roadmap, and measure success by developer velocity metrics (e.g.,
deployment frequency, lead time).
• Embed secure development hygiene, AI-augmented workflows (with mandatory Human-in-theLoop), and Behavior-Driven Development practices into the platform tools.
• Collaborate with the Site Reliability Engineering (SRE) team so the IDP itself is reliable in production (shared ownership model: Platform owns design & evolution; Site Reliability
Engineering (SRE) owns runtime reliability).
• Eliminate toil and duplication across products so cross-functional squads can self-serve deployments, scaling, and observability without reinventing infrastructure.
• Apply Theory of Constraints (TOC) to platform adoption bottlenecks and drive quarterly governance reviews with the Platform Steering Committee.

Required Qualifications
• Strong demonstrable experience building internal platforms or developer-experience tools at
scale.
• Strong background in Kubernetes, GitOps, Infrastructure-as-Code, and self-service portals.
• Product-management mindset (roadmap ownership, customer feedback loops).
• Experience integrating AI tools into engineering workflows while preserving human oversight.
• Familiarity with secure development hygiene (NIST 800-218).
• Cloud-native and automation-first engineering culture.
• Strong leadership

Annual Compensation Range: 

$125,000 - $155,000 USD base + benefits + equity (If based in the United States)

$110,000 - $145,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure.

The actual salary offered varies depending on the candidate's skill level and experience. 

This posting refers to an active vacancy within the organization.

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Rumble is seeking an experienced Infrastructure Engineer (Data Center) responsible for the operation, maintenance, and optimization of critical data center infrastructure.

As a key member of the Data Center Services Team, you will:

• Build, configure, and deploy physical and virtual servers for various applications.
• Perform ongoing maintenance, upgrades, and health checks on servers.
• Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
• Perform OS and security patching and upgrades.
• Diagnose and resolve system issues efficiently and effectively.
• Monitor infrastructure-related tickets and respond within established SLAs.
• Create and maintain clear technical documentation, processes, and procedures.
• Travel to data center locations as required to support operations.

Required Qualifications

• 3+ years of experience working with and building virtual machine–based solutions.
• 3+ years of experience building container-based solutions.
• 3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
• Ability to work independently as well as collaboratively on a high-performing team.
• Strong communication skills and proficiency in documentation.
• Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.

Preferred Qualifications

• Familiarity with security and compliance
• Experience with Proxmox or similar open-source virtual machine environments and containers.
• Working knowledge of installation and basic administration of open-source databases.
• Networking experience (load balancing, firewalls, DNS).
• Strong awareness of security and compliance best practices.
• Python and Bash scripting experience.
• Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.

Desired Qualifications

• Linux certification, CompTIA A+, or equivalent technical experience.
• Experience with one or more programming languages.

Annual Compensation Range: 

$107,000 - $134,000 USD base + benefits + equity (If based in the United States)

$84,000 - $106,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you'll do:

1. Data Pipeline & Integration
• Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.
• Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.
2. Analytics & Visualization
• Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
• Implement best practices in data modeling and visualization for operational efficiency.
3. Cloud Infrastructure
• Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
• Develop and maintain CI/CD pipelines for data-related services and applications.
4. Database Management
• Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
• Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.
5. Security & Compliance
• Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
• Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.
• Implement data governance frameworks to maintain data integrity and confidentiality.
6. Collaboration & Documentation
• Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
• Document data pipelines, system architecture, and processes for internal and external stakeholders.

About you:

• Education & Experience
• 7+ years of professional experience in data engineering or a similar role.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Technical Skills
• Databricks (Spark): Proven expertise in building large-scale data pipelines.
• Looker: Experience in creating dashboards, data models, and self-service analytics solutions.
• AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc.
• MongoDB & PostgreSQL: Demonstrated ability to design schemas, optimize queries, and manage high-volume databases.
• SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
• Soft Skills
• Excellent communication and team collaboration abilities.
• Strong problem-solving aptitude and analytical thinking.
• Detail-oriented, with a focus on delivering reliable, high-quality solutions.
• Preferred
• Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
• Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
• Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000.  Our job postings cover multiple career levels and individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.