About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

About the Role

As a Principal Software Engineer, you'll lead architectural decisions, write code, and solve complex technical problems while driving collaboration across teams to ensure successful outcomes. You'll be a mentor and thought leader, flexing between hands-on coding and high-level strategic leadership. Crucially, you will spearhead our AI transformation, driving the integration of artificial intelligence into our product features and revolutionizing our engineering workflows. If you're passionate about setting technical standards, championing AI innovation, solving challenging problems, and shaping the future of software, this is your chance to make a significant impact.

Your Area of Focus

• Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC).
• Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge.
• Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features.
• Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers.
• Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption.
• Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies.
• Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices.

Your Professional Qualifications

• Experience: 12+ years of software engineering experience with 8+ years of technical leadership experience.
• AI Leadership: Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.).
• Languages: Python, Java, JavaScript.
• Frameworks: Vue, React, Flask, SpringBoot (Experience with AI orchestration frameworks like LangChain or LlamaIndex is a strong plus).
• Databases: MySQL, Oracle, Postgres, DynamoDB, Firestore (Familiarity with Vector Databases is highly desirable).
• Cloud: AWS, GCP.
• Adaptability: Flex time spent coding from 10% to 90% as needed by team(s).
• Drive: Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business.
• Influence: Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders.
• Continuous Improvement: Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership.
• Standard Setting: Leader in establishing best practices and standards for the engineering organization.
• Communication: Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences.
• Evaluation: Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape.

 (For Recruiter use only) #LI-SS1 #LI-Remote

Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We’re looking for Software Engineers with prior payments experience to join our enterprise payments team, where we’re building innovative solutions for Rightsholders for their payments infrastructure across online and physical payments.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across teams and discipline boundaries to develop the best product in our industry
• Own large areas of the payments stack, from design through operation, including reliability, cost, and performance outcomes
• Iterate and develop against our native payment processing solution, including growing usage across our US and EMEA client base
• Collaborate closely with Finance, Risk, and Product to define and deliver payment strategies

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others
• Experience owning end-to-end payment systems and integrations with external processors (e.g., Stripe, Adyen), including designing resilient, idempotent workflows and handling real-world failure modes.
• Experience operating payment systems in production, including monitoring, incident response, and performance optimization (e.g., authorization rates, cost efficiency).
• Experience working cross-functionally with Product, Finance, and Risk to deliver payment solutions aligned with business goals.
• Experience leading projects or mentoring engineers, with interest in growing into a broader technical or people leadership role.
• Experience ensuring financial correctness through reconciliation, auditability, and robust data modeling

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

We are looking for Software Engineers with varying levels of experience to join SeatGeek’s R&D team.

What you'll do

• Run a modern, containerized service-oriented architecture using industry-leading software development practices
• Ship code to production many times a day
• Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand
• Evaluate new technologies and improve our software stack to keep our technological edge
• Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
• Work across team and discipline boundaries to develop the best product in our industry

What you have

• Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
• Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
• Passion for software craftsmanship and product. You have well-considered opinions about how software should work, and hold yourself and your code to a high standard
• A product mindset. You think beyond the code, about user experience, business impact, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with any of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages: Python (FastAPI), Go, C# (.NET Core), React+Typescript, Swift, Kotlin
• Infrastructure: AWS, Kubernetes, ArgoCD, Datadog, Gitlab
• Datastores: Aurora (Postgres), ElastiCache (Memcached), OpenSearch, DynamoDB
• Streaming & workflows: Kafka, Flink, Airflow, Temporal

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $144,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

The Accounts team is a seasoned team at SIE which interacts with various critical systems server side, client side and commerce related teams. Using state of the art technology, leveraging AWS services, we create high transaction, low latency systems that live at the heart of every module in platform engineering.

This is a fast paced, high-visibility engineering position within SIE’s platform engineering organization helping to establish a linear scale, highly available, fault-tolerant, globally distributed accounts services platform.

 This next generation Accounts platform will support the fast growing SIE customer base on both world class PlayStation consoles, ,devices and PC platforms. This key role will lead the technology transformation of the accounts services platform including existing and new services to support the dramatic customer growth on the platform.

 As a Senior Software Development Engineer in the team, you will design and develop highly scalable, distributed services, as well as collaborate with product managers, architects , engineers, and operations team members across playstation.  This is a fast-paced environment that leverages lightweight SOA design patterns. We encourage innovation and expect developers to take a high level of ownership throughout the software life cycle.

If you are a strong developer with experience and interest in distributed systems, databases, performance and scalability, we'd like to talk to you.

Basic Requirements:

• Bachelor's Degree or Master’s Degree in Engineering, Computer Science or equivalent experience

• 5+ years of experience in developing business critical software using Enterprise Java/J2EE, Web Services, REST, JSON/XML, expert level of object oriented programming analysis and design

• 2+ years’ experience developing with AWS native services such as EC2, EKS, S3, Kinesis, Glue, Lambda, SQS, SNS and DynamoDB

• Experience developing applications on Java Services on Linux platforms

• Experience with servlet containers (e.g., Tomcat, Reactor Netty), JAXRS, Spring, and related technologies

• Experience developing web services using JSON and XML

• Prior experience working with Python is a plus

• Proficient in software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Demonstrated ability to take a project from initial scope out of requirements to launch

• Possess deep knowledge of computer science fundamentals such as object oriented design, data structures, algorithm design, problem solving, and complexity analysis.

Preferred Qualifications:

• Experience with micro service architecture.

• Experience creating UML artifacts (e.g., class, sequence, and component diagrams)

• Experience with AI driven development tools for code review and pipeline management

• Experience in requirements engineering, describing software product features, and technical designs.

• Experience with large scale account management systems with high throughput requirements

• Experience in deploying, operating, and managing services in AWS or other cloud environments.

• Asynchronous programming, Non-blocking I/O, Event-driven and backpressure handling

• Experience building high performance, active-active, linearly scalable production services (Enterprise Java/J2EE, or C++, Web Services, REST, SQL/NoSQL data layers)

Staff Site Reliability Engineer

San Diego, CA

As a key leader of the Commerce - Technical Operations team, you will help drive the availability and enablement for PlayStation Store, Catalog, Entitlement, Pricing and Device Management platforms. You will partner closely with product engineering teams to deliver innovative player features and elevate operational excellence for millions of players worldwide.

Responsibilities:

Your responsibilities will include hands-on application management within a public cloud environment, ensuring availability, resiliency, scalability and performance. You will work side by side with our service development teams to develop, automate and ensure the production readiness of all new services and features introduced.

• Review and influence service architecture and system design to improve resiliency, fault tolerance, and scalability. Establish and promote best practices across engineering teams.
• Own and evolve Infrastructure-as-Code for managed services (AWS, GCP). Design and build scalable, reusable modules and automation that standardize provisioning, configuration, and operations
• Improve and develop production-grade automation, and tooling to improve measureable outcomes in operational process, manual toil, MTTx reduction, etc.
• Increase observability across the platform by implementing robust monitoring, logging, and tracing patterns. Build actionable dashboards and define meaningful alerting strategies that reduce MTTD and MTTR while minimizing noise.
• Leverage service telemetry and historical data to anticipate capacity needs, detect anomalous behavior, and proactively prevent incidents. Develop data-informed approaches to performance optimization and reliability engineering.
• Lead performance and capacity planning initiatives. Apply cloud-native patterns (e.g., auto-scaling, spot capacity, container orchestration with EKS) to optimize cost, performance, and availability at scale.
• Contribute code to shared repositories and platform components improving reliability, scalability, and maintainability.
• Collaborate across SIE with a variety of engineering, product, security and PMO teams to drive reliability improvements and ensure consistent operational standards across PlayStation services.
• Contribute to and help evolve reliability engineering practices, including SLIs/SLOs, error budgets, and operational readiness standards.
• Provide rotational on-call support, including incident detection, triage, and resolution for production systems, with a focus on continuous improvement of system reliability.
• Lead post-incident reviews, producing clear root cause analyses and driving follow-through on corrective and preventative actions across teams.

Qualifications:

• BS degree in Computer Science, Engineering, or related technical subject area.
• 7+ years hands-on AWS experience – integrating, developing and managing applications
• 10+ years of relevant SRE or operational work experience supporting a high-volume and/or critical production, software environment
• 10+ years of hands on software engineering or systems engineering experience (Java and/or React services)
• 5+ years of experience with building automation into daily operational processes through one or more programming languages (preferably Python or Go).
• Hands-on experience using modern AI engineering technologies, including LLM models, MCP-based integrations, and agentic workflow patterns, to improve SRE Operations.
• Strong experience in configuring, tuning and automating operational responsibilities for AWS managed data services including RDS, DynamoDB and Elasticache
• Experience with monitoring and log management tools (ie: DataDog, CloudWatch, Grafana, Splunk)
• Experience with container technologies and orchestration (ie: Docker, Kubernetes, EKS)
• Hands-on experience in triaging and tuning Java cloud applications with integration into AWS
• Solid understanding of AWS networking systems and protocols (ie: ALB, R53, API-Gateway, TCP/IP, HTTP/HTTPS, DNS)
• Experience with developing or support Continuous Integration and Continuous Delivery/Deployment pipelines (CI/CD)
• Excellent leadership presence, verbal and written communication

#LI-KS1

About the Role

iCapital is looking to a hire a Vice President to join the Platform Infrastructure team. This team plays a critical role in keeping the production and development environments running smoothly and securely.  This role will utilize advanced cloud capabilities to facilitate Platform Infrastructure strategy of market agility and lean operating principles with a strict focus on quality to meet the ever-growing demands of clients. The ideal candidate is highly collaborative, creative, intellectually curious and passionate about forming and implementing cutting-edge cloud computing capabilities. As a Platform Engineer, this individual will be wearing multiple hats in a highly visible role interacting with all aspects of the business.

Responsibilities

• Build highly available solutions across the entire SDLC stack with a primary focus on an internet facing fintech site.
• Coordinate the relationship between the Platform Infrastructure team and the Information Security Team in remediating security issues related to platforms, CI/CD pipelines, or development tools.
• Contribute to security best practices for shifting security left and establishing a strong security culture within the DevOps and Platform Infrastructure team.
• Develop and maintain tools to support the development environment on MacOS and Linux tool environment with focus on improving developer productivity.
• Maintain site reliability with a focus on building highly scalable systems integrating resiliency and high availability at all levels.
• Develop software and tooling to secure and automate cloud infrastructure building software delivery capabilities with fully automatic workflows.
• Design and operate a Kubernetes environment for container management and orchestration.

Qualifications

• 6+ years of DevOps or SRE experience with 4+ years of AWS experience
• 6+ years of CI/CD pipeline development in GitLab, GitHub, or similar frameworks
• 3+ years of experience with security best practices in AWS, including remediating SecurityHub findings
• 3+ years of experience with DevSecOps tools, including SAST tools, DAST tools, and SCA tools
• Microservices (Docker, Kubernetes) experience in a production environment is strongly desired
• Strong Linux OS-level and command-line and scripting knowledge and configuration management principles
• Working knowledge of databases such as MongoDB, Postgres, and DynamoDB
• Coding beyond simple scripting with strong opinions on maintainable and reusable code in Python, Ruby or Java is desired
• Experience with computer provisioning on a Cloud based platform using Terraform or Cloud formation 
• Exceptional analytical skills and able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
• Experience building a Microservice based architecture
• Strong written and verbal communication skills
• Able to design and implement complex, but easily managed, automated infrastructure
• A desire to share, teach and learn as part of a team 
• Expert level knowledge of networking

• Experience with distributed systems design, maintenance, and hands-on troubleshooting

• Experience with debugging issues with the FIX protocol to include maintaining and establishing fix sessions and or session management + order routing
• Experience in system tuning and performance testing
• AWS certifications are a plus

Benefits

The base salary range for this role is $150,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Role Overview

We are seeking a Principal DevOps Engineer to serve as a transformative force in how ZetaGlobal builds, deploys, and operates software at scale. This is not a maintenance role. You will be a DevOps disruptor: someone who challenges the status quo, reimagines deployment pipelines, and empowers hundreds of developers across multiple teams to ship code to production safely, multiple times per day, concurrently.

Your prime responsibility is to enable true continuous integration and continuous deployment (CI/CD) directly to production using canary releases, blue/green deployments, incremental rollout pipelines, feature flag-driven releases, and any other proven strategy that delivers speed with safety. You will architect and operate these systems within a regulated, globally compliant environment spanning GDPR, CCPA, and SOC 2 requirements.

In addition, you will serve as a Site Reliability Engineer (SRE) leader, ensuring safe operations, incident readiness, and platform stability as we continue to scale. You will influence both DevOps/SRE practices and software architecture decisions, simplifying and streamlining operational management across the organization.

Key Responsibilities

CI/CD & Deployment Excellence

• Design, build, and operate production-grade CI/CD pipelines enabling multiple developers on multiple teams to deploy concurrently to production, multiple times daily, with zero-downtime guarantees.
• Implement and optimize advanced deployment strategies including canary releases, blue/green deployments, rolling updates, incremental rollouts, and feature flag-gated releases via Statsig.
• Build self-service deployment tooling that empowers developers to own their release process while enforcing safety guardrails, automated rollback triggers, and automate compliance gates.
• Establish deployment observability with real-time canary analysis, automated health scoring, and progressive delivery metrics integrated with Grafana, Prometheus, and Honeycomb.
• Champion CI/CD workflows using GitLab CI/CD, Helm charts, and Terraform to ensure infrastructure and application deployments are version-controlled, auditable, and reproducible.

Platform Reliability & SRE

• Define and enforce SLOs/SLIs/SLAs across services, establishing error budgets that balance velocity with reliability.
• Lead incident response processes, including on-call rotations, runbook development, blameless postmortems, and incident command structure.
• Design and implement robust observability stacks leveraging Grafana, Prometheus, Loki, and Honeycomb for metrics, logging, tracing, and alerting at scale.
• Proactively identify and eliminate reliability risks through chaos engineering, load testing, capacity planning, and failure mode analysis.
• Reduce operational toil through automation, self-healing infrastructure patterns, and intelligent alerting to minimize mean time to detection (MTTD) and recovery (MTTR).

Infrastructure & Architecture

• Manage and optimize AWS infrastructure spanning EC2, SQS, DynamoDB, and related services with Infrastructure as Code (Terraform) best practices.
• Design and operate Kafka-based event streaming infrastructure for high-throughput, low-latency data pipelines supporting real-time marketing and analytics workloads.
• Ensure robust networking across the platform, including DNS management, service mesh configuration, load balancing, TCP/IP optimization, routing policies, and VPC architecture.
• Manage containerization strategy using Docker, ensuring efficient image builds, vulnerability scanning, registry management, and runtime security.
• Support data infrastructure operations across Snowflake, MySQL, and other database platforms, collaborating with data engineering teams on reliability and performance.

Compliance, Security & Governance

• Embed compliance controls directly into CI/CD pipelines, ensuring automated enforcement of GDPR, CCPA, and SOC 2 requirements at every stage of the software delivery lifecycle.
• Implement audit trails, change management controls, and deployment approval workflows required by regulatory frameworks in the MarTech and AdTech domains.
• Collaborate with Security and Legal teams to ensure infrastructure and deployment processes meet global compliance obligations across all operating regions.
• Maintain awareness of evolving privacy regulations (ePrivacy, state-level US laws, international data residency requirements) and proactively adapt infrastructure accordingly.

Technical Leadership & Influence

• Serve as a technical leader and DevOps disruptor, challenging legacy processes and introducing modern practices that dramatically improve developer velocity and operational safety.
• Influence software architecture decisions to simplify and streamline operational management, advocating for patterns that are deployment-friendly, observable, and resilient by design.
• Clearly communicate complex technical strategies to engineering leadership, product stakeholders, and cross-functional teams to build alignment and drive adoption.
• Develop reference architectures, internal standards, and golden path templates that codify best practices and accelerate onboarding of new services and teams.
• Participate in on-call rotations and lead by example in incident response, demonstrating the operational discipline expected across the engineering organization.

Required Qualifications

• 10+ years of progressive experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering roles, with demonstrated impact at staff or principal level.
• Expert-level Kubernetes knowledge, including cluster administration, Helm chart authoring, custom controllers/operators, network policies, RBAC, and multi-cluster management on AWS EKS.
• Deep expertise in CI/CD pipeline architecture and advanced deployment strategies (canary, blue/green, progressive delivery, feature flag integration) at scale.
• Strong proficiency with Infrastructure as Code using Terraform, including module design, state management, and multi-environment orchestration.
• Expert knowledge of Docker containerization, including multi-stage builds, security hardening, image optimization, and container runtime management.
• Production experience with Apache Kafka, including cluster management, topic design, consumer group strategies, and operational monitoring for high-throughput streaming workloads.
• Strong networking fundamentals: DNS (Route 53, internal DNS), TCP/IP, routing, API Gateway, load balancing (ALB/NLB), service mesh, VPC peering, transit gateways, and network troubleshooting.
• Extensive AWS experience spanning EKS, EC2, SQS, DynamoDB, IAM, VPC, CloudWatch, and related services in production environments.
• Hands-on experience with observability platforms: Grafana (dashboards, alerting), Prometheus (metrics, PromQL), Loki (log aggregation), and Honeycomb (distributed tracing, BubbleUp analysis).
• Working familiarity with multiple language stacks including Node.js, React, Python, Java, and Ruby, sufficient to understand build systems, dependency management, and runtime characteristics.
• Experience operating within regulated environments, with practical knowledge of GDPR, CCPA, SOC 2, and compliance automation in MarTech or AdTech domains.
• Proven ability to influence engineering culture, drive adoption of new practices, and communicate complex technical strategies clearly to both technical and non-technical stakeholders.
• Demonstrated experience with GitLab CI/CD pipelines, including advanced pipeline features such as parent-child pipelines, dynamic environments, and security scanning integration.

Preferred Qualifications

• AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty.
• Experience with Statsig or similar feature flag and experimentation platforms for progressive delivery and A/B testing in production.
• Background in chaos engineering tools and practices (Gremlin, Litmus, Chaos Monkey) for proactive resilience validation.
• Experience building internal developer platforms (IDPs) or platform-as-a-product organizations.
• Familiarity with FinOps practices and cloud cost optimization strategies.
• Contributions to open-source DevOps/SRE tools or active participation in the broader infrastructure community.
• Experience with service mesh technologies (Istio, Linkerd) for advanced traffic management and security.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $180,000 - $210,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-YW1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

Position Overview

We are seeking a skilled DevOps / Cloud Engineer to join the team responsible for managing core network platform - OSS. In this role, you will design, deploy, and operate cloud and hybrid infrastructure, build and maintain CI/CD pipelines, and take ownership of running third-party vendor software in our environment. You will bridge the gap between infrastructure and application operations, ensuring our systems are scalable, secure, highly available, and cost-efficient. 

Key Responsibilities:

• Design, deploy, and manage AWS cloud and hybrid infrastructure solutions using Infrastructure as Code (IaC) tools
• Deploy, operate, and maintain cloud environments across multi-account and multi-region AWS architectures
• Deploy, configure, and operate vendor-supplied software within our cloud/hybrid environment, serving as the operational owner for these applications
• Coordinate with vendors on installation, upgrades, patching, and configuration changes, translating vendor requirements into infrastructure and deployment solutions
• Ensure vendor applications meet our availability, performance, and security standards through own monitoring and incident management processes
• Own the security, availability, and reliability of infrastructure, applying best practices for IAM, encryption, and vulnerability management
• Build, maintain, and improve CI/CD pipelines that automate testing, security scanning, and deployment workflows
• Automate infrastructure provisioning, configuration management, and operational tasks to eliminate manual toil
• Implement and maintain monitoring, alerting, and observability tooling to enable proactive issue detection and resolution
• Analyze cloud performance metrics and resource utilization to continuously optimize system efficiency and control costs
• Partner closely with internal and vendor teams to align on cloud infrastructure deployment and integration practices - bridging code and underlying infrastructure
• Provide technical guidance and mentoring to teammates, driving engineering excellence 

Qualifications 

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent professional experience.

Experience:

A minimum of 3+ years of hands-on experience in cloud infrastructure, DevOps, or site reliability engineering roles.

• Public Cloud Expertise (AWS, Azure or GCP): Proven hands-on experience with public cloud services including compute, networking, databases, K8s, IAM, monitoring
• Infrastructure as Code: Proficiency in Terraform or AWS CDK for building and managing infrastructure at scale
• CI/CD: Demonstrated experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Containerization & Orchestration: Solid experience with Docker and K8s for application deployment and management
• Hybrid & Multi-Environment Operations: Experience operating workloads across cloud and on-premises or hybrid environments
• Third-Party Software Operations: Experience deploying and managing vendor-provided applications in cloud environments, including coordination of upgrades, patching, and configuration
• Databases: Hands-on experience with SQL (e.g., PostgreSQL, MySQL/RDS) and NoSQL (e.g., DynamoDB, Redis/Elasticache) databases
• Messaging & Queuing: Familiarity with message-driven systems such as SQS, RabbitMQ or Kafka
• Scripting & Automation: Proficiency in at least one scripting language (Python, Bash, or similar) for automation tasks 

Preferred Qualifications: 

• AWS or Azure/GCP certification (e.g., AWS Certified DevOps Engineer, Solutions Architect)
• Skills in remote debugging and troubleshooting distributed systems
• Familiarity with security and compliance frameworks (e.g., SOC 2, ISO 27001)
• Experience with observability platforms (e.g. Prometheus/Grafana, ELK)
• English proficiency at B2 level or above; able to collaborate effectively with global, cross-functional teams
• Experience in software development is a plus
• Background in telecom, satellite, or other high-availability, mission-critical environments is a plus 

Soft Skills:

• Strong problem-solving mindset with a bias toward automation and operational efficiency
• Collaborative and communicative — comfortable working in a globally distributed team
• Ownership mentality - take responsibility for end-to-end reliability of systems under your care
• Adaptable and self-directed, with the ability to manage competing priorities in a fast-paced environment
• Meticulous attention to detail in documentation, change management, and operational procedures 

Technology Stack:

• Cloud - AWS (EC2, EKS, RDS, DynamoDB, Elasticache, S3, Route53, VPC networking, IAM, CloudWatch)
• IaC - Terraform, AWS CDK
• Containers & Orchestration - Docker, K8s
• CI/CD - GitHub Actions, GitLab CI, Jenkins, ArgoCD (or similar)
• Messaging - SQS, Kafka
• Scripting - Python, Bash
• Databases - PostgreSQL, MySQL, DynamoDB, Redis
• Monitoring & Observability - Prometheus, Grafana, CloudWatch
• Version Control - Git 

Physical Requirements 

• Ability to work in a standard office or remote home-office environment and use a computer for extended periods
• Ability to participate in occasional after-hours incident response actions

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

About the Role

We’re looking for a skilled and passionate designer with strong production capabilities to help uplevel our creative output. Strong in After Effects and Adobe software, and (at minimum) interested in Cinema 4D and 3D design and animation. You'll be part of a fast-paced, fast-growing creative team with the opportunity to work on projects big and small—directly impacting revenue on a multibillion-dollar global tech brand.

As a member of the larger marketing team, you’ll play a role in supporting a multi-disciplinary brand team—working cross-functionally with marketing, growth, and creative department stakeholders to create compelling, high-quality content across all channels. This role reports into our Senior Creative Director.

We are committed to a thriving in-office culture. This role requires that you be on-site at our HQ in San Mateo, CA 5 days a week. 

What You'll Do

• Focusing primarily on brand and product marketing, you’ll be a hands-on maker helping create the content that drives our growth.
• Creating relevant, tailor-made product marketing and brand content for static, animated, and video formats.
• Refining ideas and improving executions—putting the high polish on everything we make.
• You’ll have the chance to wear many creative hats in the creative department, including design, creative ideation, attending photoshoots, video production, and more.
• You’ll help identify creative opportunities that improve the creative output, and help find unique tactics to leverage creative assets and outputs from other campaigns.

What You Bring

• 3-5+ years of visual design & motion design experience in a creative/advertising setting.
• A portfolio of work showcasing a strong multidisciplinary approach to visual solutions and storytelling, including all forms of brand and advertising-based design and production.
• Hands-on experience in the creative process focusing largely on production & execution.
• You’re also an After Effects and motion graphics dynamo—from visual design, 2D animation, and editing in Premier, you love the art and craft of making compelling content, in static and motion.
• You have 3D skills or, at the very least, are interested in learning. We’re looking for someone who is interested in at least 30% of their workflow to be 3D. However, it can be much higher if you have experience.
• Able to work effectively in a fast-paced environment with rapidly shifting priorities.
• You’re curious and a critical thinker—you look deeper than visual harmony, thinking about what makes the most compelling piece of communication.
• Love storyboarding and helping develop the narrative? Perfect.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend 
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.

About the Team

Alerts are an important part of the Verkada ecosystem and our customers rely on alert notifications to stay on top of live events such as persons of interest entering buildings, if a door was forced open after hours or simply knowing when to let the delivery person in. The Alerts and Operations team is responsible for building and maintaining the end-to-end systems for Events, Alerts and Notifications, processing upwards of 500 million events weekly from over a million devices worldwide.

Our systems process real-time events from Verkada's global device fleet, delivering intelligent, actionable alerts through multiple channels including email, SMS, push notifications, and webhooks.

In 2025, we launched Operations, a suite of features designed for customers monitoring critical infrastructure with dedicated security teams, starting with enhanced collaboration tools and expanding integration capabilities.

We're actively exploring how AI can help customers use our products more efficiently and respond more effectively to events, while continuing to improve the core reliability and intelligence of our alerting systems.

What You'll Do

• Build and maintain scalable backend systems that process hundreds of millions of events, alerts and notifications weekly from security devices deployed around the world. 
• Contribute to building backend infrastructure integrated with AI capabilities 
• Own features end-to-end, from design through implementation, testing, deployment, and monitoring in production.
• Develop and maintain Verkada’s public API interface that our customers use for various integrations. 
• Collaborate with product managers, frontend engineers, and teams across the organization to deliver high-quality products.

What You Bring

• Degree in Computer Science or similar field. 
• 3+ years of professional experience as a Back End Engineer, ideally at a rapidly growing start up or innovative company.
• Strong programming skills in Go, Python, Java, or C++. Willingness to learn Go if not already proficient.
• Experience with relational databases (Postgres, MySQL) or non-relational databases (DynamoDB, MongoDB).
• Demonstrated ability to ship features and take ownership of backend systems. 
• Experience with message queues (Kafka, SQS) or search technologies (OpenSearch, Elasticsearch) is a plus.
• Experience working in cloud environments (AWS, GCP, Azure) and container orchestration platforms (Kubernetes, Docker) is a plus.
• Must be willing and able to work onsite five days per week.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Team

Alerts are an important part of the Verkada ecosystem and our customers rely on alert notifications to stay on top of live events such as persons of interest entering buildings, if a door was forced open after hours or simply knowing when to let the delivery person in. The Alerts and Operations team is responsible for building and maintaining the end-to-end systems for Events, Alerts and Notifications, processing upwards of 500 million events weekly from over a million devices worldwide.

Our systems process real-time events from Verkada's global device fleet, delivering intelligent, actionable alerts through multiple channels including email, SMS, push notifications, and webhooks.

In 2025, we launched Operations, a suite of features designed for customers monitoring critical infrastructure with dedicated security teams, starting with enhanced collaboration tools and expanding integration capabilities.

We're actively exploring how AI can help customers use our products more efficiently and respond more effectively to events, while continuing to improve the core reliability and intelligence of our alerting systems.

What You'll Do

• Build and maintain scalable backend systems that process hundreds of millions of events, alerts and notifications weekly from security devices deployed around the world.
• Lead technical design discussions and make architectural decisions for new features across our event processing, alert rule management, and notification delivery services.
• Own complex systems end-to-end, from initial design through implementation, testing, deployment, monitoring, and ongoing optimization.
• Drive the development of backend infrastructure integrated with AI capabilities.
• Mentor and support junior engineers through code reviews, technical guidance, and knowledge sharing.
• Contribute to Verkada's public API that customers use for integrations with their existing security and operations systems.
• Collaborate with product managers, engineering leaders, and teams across the organization to define and deliver high-impact products.

What You Bring

• Degree in Computer Science or similar field. 
• 5+ years of professional experience as a Back End Engineer with a track record of building and operating large-scale distributed systems, ideally at a rapidly growing start up or innovative company.
• Deep expertise in Go, Python, Java, or C++ with strong software engineering fundamentals.
• Proven experience designing and working with both relational (Postgres, MySQL) and non-relational databases (DynamoDB, MongoDB, OpenSearch, Elasticsearch).
• Track record of leading technical initiatives, making architectural decisions, and delivering complex systems from concept to production.
• Experience with event-driven architectures and message streaming platforms (Kafka, SQS).
• Experience working in cloud environments (AWS, GCP, Azure) and container orchestration platforms (Kubernetes, Docker).
• Demonstrated ability to mentor engineers and elevate team technical standards.
• Must be willing and able to work onsite five days per week.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

About the Role

What You'll Do

About the Role

The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.

We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.

As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.

Responsibilities

• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
• Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
• Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
• Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
• Implement model versioning, experiment tracking, and artifact management across environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
• Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
• Implement monitoring and alerting for system health, model performance, and drift.
• Enforce security, compliance, and governance requirements for AI workloads.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Document standards, best practices, and reference architectures for MLOps and AI infrastructure.

Required Qualifications

• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
• Experience supporting machine learning systems in production, including deployment and monitoring concerns.
• Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
• Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
• Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
• Strong proficiency with Terraform and scripting/programming in Python or similar languages.
• Solid Linux, systems, and troubleshooting fundamentals.
• Excellent communication skills and ability to work across teams.
• Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
• Exposure to Generative AI / LLM workloads in production environments.
• Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
• Experience operating in regulated or fintech environments.
• Background in cost optimization for compute‑intensive workloads.
• Strong written and verbal communication skills.
• AWS certifications are a plus.

Benefits

The base salary range for this role is $180,000 to $230,000 depending on experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

About the Role

iCapital is looking to hire a DevOps Database Engineer to join the Platform Infrastructure team. This role is responsible for owning the performance, reliability, security, and operation of the company’s SQL and NoSQL database platforms.  The role operates within a database team who partners with application engineering, platform, and security teams to ensure databases are scalable, resilient, secure, and observable across all environments.

Responsibilities

• Own end to end performance of SQL and NoSQL databases across environments, including query optimization, indexing strategies, execution plan analysis, and tuning of database runtime parameters (i.e. PostgreSQL query plans, MongoDB indexes, DynamoDB access patterns).
• Prevent performance regressions proactively through representative load testing, performance analysis tooling, and CI or CD validation gates.
• Partner with application teams on schema design, data modeling, and workload driven performance improvements, including relational schemas, document models, and NoSQL access patterns.
• Design, operate, and harden production grade SQL, NoSQL, and document database systems with strong replication, failover, backup or restore, and security controls.
• Define, implement, and validate backup and disaster recovery strategies, including routine restore testing and compliance with RPO and RTO objectives.
• Establish SLIs and SLOs for database health, including latency, error rates, contention, replication lag, storage growth, and cache efficiency across SQL and NoSQL databases.
• Deliver actionable dashboards and alerts and maintain operational runbooks alongside up to date documentation.
• Lead or participate in production incident response and post incident reviews related to database platforms.
• Enforce database security best practices in partnership with InfoSec, including least privilege access, RBAC, auditing, encryption, secure secret handling, access reviews, and secure service to database authentication across SQL and NoSQL data stores.
• Codify database infrastructure and operations using Infrastructure as Code such as Terraform and CI or CD pipelines.
• Standardize baseline configurations, schema migration practices, and operational guardrails across relational, document, and NoSQL databases.

Qualifications

• Hands‑on experience operating production‑scale SQL and NoSQL databases, with strong troubleshooting skills under pressure
• Experience with managed cloud database services, including SQL and NoSQL databases (i.e. AWS RDS and Aurora PostgreSQL, MongoDB Atlas, DocumentDB, DynamoDB)
• Deep expertise across the following areas like performance tuning, indexing, query optimization, vacuum/auto vacuum, bloat management, data modeling, backup/restore, capacity planning, scalability design, and cost and performance tradeoffs
• Experience with observability, alerting, and operational metrics for data platforms
• Automation‑first mindset with hands‑on experience in Infrastructure as Code, Gitlab CI/CD pipelines, and repeatable operational runbooks
• Experience with IAM‑based access controls, KMS and encryption, secrets management, and compliance‑driven governance controls
• Proven experience developing and maintaining Terraform modules
• Strong Linux fundamentals and scripting experience such as Bash or Python
• Experience with Docker and Kubernetes for database‑adjacent workloads

Benefits

The base salary range for this role is $110,000 to $135,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The Role

We are seeking a seasoned, hands-on Full-Stack Engineer with a proactive, "gets-it-done" attitude to be a foundational member of a new team. You will be instrumental in building the code that brings this new product to life.

This role is for a true builder who thrives on ambiguity, loves to tackle "0-to-1" challenges, and can own complex features from the database all the way to the UI. You will be a key technical voice, collaborating directly with product management and other senior engineers to define and deliver on our vision.

What You'll Do

• Build from Scratch: Write high-quality, maintainable code for both the backend (Python/Node/Go) and frontend (React), working in a balanced 50/50 split.
• Collaborate on Architecture: Work closely with Staff Engineers and Product Managers to define and refine the system architecture for a new product.
• Own the Lifecycle: Design, develop, test, and maintain new features from concept to production.
• Champion Quality: Write comprehensive unit, integration, and end-to-end tests to ensure code quality and system reliability.
• Collaborate Broadly: Work closely with Product Managers to refine requirements and translate business needs into technical solutions.
• Thrive in Ambiguity: Excel in a fast-paced, agile environment where priorities can shift quickly and proactive problem-solving is essential.

What You Bring (Must-Haves)

• Extensive Experience: 8+ years (14+ preferred) of professional software development experience building complex, large-scale applications.
• Proactive & Problem-Solving Mindset: A "gets-it-done" attitude is your most critical soft skill. You are a self-starter who identifies problems and builds solutions.
• Backend Expertise: 3+ years of strong, professional Python/Node.Js/Go experience in a production environment, building robust APIs and backend services.
• Frontend Expertise: 3+ years of strong, professional React experience, with a deep understanding of the modern React ecosystem, including: State Management, UI Libraries, Frameworks, and Testing.
• Commitment to Testing: A non-negotiable belief in the importance of comprehensive testing.
• Excellent Communication: The ability to articulate complex technical ideas to technical and non-technical audiences.

What We'd Love to See (Nice-to-Haves)

• Proven experience leading or co-leading system architecture decisions.
• Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
• Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions, Jenkins).

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

United States, Remote 
$90,000 - $95,000 Pending Experience and Seniority.

The Role

We are seeking a seasoned, hands-on Full Stack Engineer with a proactive, "gets-it-done" attitude to be a foundational member of a new team. You will be instrumental in building the code that brings this new product to life.

This role is for a true builder who thrives on ambiguity, loves to tackle "0-to-1" challenges, and can own complex features from the database all the way to the UI. You will be a key technical voice, collaborating directly with product management and other senior engineers to define and deliver on our vision.

What You'll Do

• Build from Scratch: Write high-quality, maintainable code for both the backend (Python) and frontend (React), working in a balanced 50/50 split, with a strong focus on rapid iteration and MVP delivery.
• Prototype & Iterate: Design and ship lightweight backend services and APIs quickly, avoiding over-engineering while maintaining code quality and scalability where needed.
• Collaborate on Architecture: Work closely with Staff Engineers and Product Managers to define and refine system architecture, making pragmatic technical decisions aligned with product maturity.
• Own the Lifecycle: Design, develop, test, and maintain new features from concept to production.
• Champion Quality: Write comprehensive unit, integration, and end-to-end tests to ensure code quality and system reliability.
• Collaborate Broadly: Work closely with Product Managers to refine requirements and translate business needs into technical solutions.
• Thrive in Ambiguity: Excel in a fast-paced, agile environment where requirements may be incomplete, priorities can shift quickly, and proactive problem-solving is essential.

What You Bring (Must-Haves)

• Extensive Experience: 8+ years (14+ preferred) of professional software development experience building complex, large-scale applications.
• Proactive & Problem-Solving Mindset: A "gets-it-done" attitude is your most critical soft skill. You are a self-starter who identifies problems, researches solutions, and executes efficiently.
• Backend Expertise:
  3+ years of strong, professional Python experience in a production environment, building robust APIs and backend services.
  Experience designing lightweight, scalable APIs for rapid product iteration.
  Strong understanding of RESTful design, web architecture, and backend best practices.
• Frontend Expertise:
  3+ years of strong, professional React experience, with a deep understanding of the modern React ecosystem, including state management, UI libraries, frameworks, and testing.
• Rapid Learning Ability: Demonstrated ability to quickly learn and apply new technologies in innovation-driven environments.
• Commitment to Testing: A non-negotiable belief in the importance of comprehensive testing.
• Excellent Communication: The ability to articulate complex technical ideas clearly in both written (async) and verbal contexts, including client-facing discussions.

What We'd Love to See (Nice-to-Haves)

• Proven experience leading or co-leading system architecture decisions.
• Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines (e.g., GitHub Actions, Jenkins).
• Professional experience with Node.js / TypeScript for backend services.
• Experience working in prototyping, innovation, or early-stage product environments.

At .Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

LOCATION - Remote, United States

About the Role
Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture.

What You’ll Accomplish

• Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams
• Provide guidance and mentorship to engineers on cost-optimization best practices
• Collaborate with teams across the organization to implement cost-saving measures
• Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues
• Proactively lead infrastructure initiatives that have a company-wide impact
• Partner with engineering teams to influence cost-effective architectural and design choices
• Develop automation workflows to enhance team productivity and efficiency
• Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms

Your Expertise

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s degree preferred
• 2+ years of experience in FinOps or cloud cost management
• 5+ years of experience in cloud infrastructure management, development or related roles
• Proficiency in some of the following technologies: AWS, Datadog, Kubernetes, Vantage, Terraform, Java
• Strong analytical and problem-solving skills with a keen attention to detail
• Excellent communication and leadership abilities
• Ability to work collaboratively in a cross-functional team environment

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role
We’re looking for a highly driven Senior Software Engineer to join our Streaming team, which powers the backbone of Attentive’s messaging and personalization platform. Our event streaming systems handle over 2 million messages per second and sit at the heart of how product and data engineering teams build real-time, customer-facing experiences.

What You’ll Accomplish

• Architect and evolve Attentive’s next-generation event streaming platform: Design high-throughput, low-latency solutions that power mission-critical messaging, personalization, and data integration use cases across Attentive’s ecosystem
• Enhance self-service for product engineering and data teams: Build and refine self-serve tools for event observability, debugging, load testing, and system configuration, empowering teams to experiment and ship quickly
• Simplify and modernize streaming architecture: Remove unnecessary abstraction layers, enable direct access for power users, and ensure the platform is flexible for both “paved path” and advanced use cases
• Solve complex distributed systems challenges: Improve event delivery reliability, cost efficiency, and system integration for real-time and batch workloads
• Champion best practices and technology selection: Stay ahead of industry advancements in event streaming, advocating for tools and approaches that balance innovation with long-term reliability
• Collaborate across engineering: Partner with product, data, and infrastructure teams to launch new customer-facing features, integrations, and scalable solutions built on streaming infrastructure

Your Expertise

• 5+ years experience architecting and supporting high-throughput, distributed systems at scale—especially those involving event streaming or messaging platforms
• Deep understanding of the internals of distributed streaming frameworks such as Kafka, Flink, Pulsar, and/or Spark
• Proficient in Java (Spring Boot) and familiar with modern development practices, including object-oriented design, data structures, and algorithms
• Able to debug issues across the stack—from message serialization and event schemas to network and JVM tuning—and communicate tradeoffs clearly
• Familiar with resource scheduling, data locality, and how infrastructure choices impact cost and system behavior
• Experience with observability and developer tooling for streaming (e.g., tracing, metrics, replay).Infrastructure-as-code expertise (Terraform, Helm), comfortable with Kubernetes (EKS) and cloud-native environments
• Track record of modernizing platforms: sunsetting legacy systems, moving to managed services, or implementing self-service capabilities
• Excited by new technologies, but pragmatic about introducing them—focused on solving real business problems

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $150,000-$210,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.

As a Senior Software Engineer in our Intelligent Messaging, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands.

What You’ll Accomplish

• Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability.
• Collaborate with cross-functional teams to build applications that support multi-channel communications for marketers.
• Implement and optimize systems that process and deliver billions of messages daily.
• Improve code quality through code reviews, testing, and advocating for best practices.
• Identify and address technical debt to ensure the long-term health of our codebase.
• Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products.

Your Expertise

• 5+ years of professional experience in software development focusing on backend systems.
• Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming.
• Experience building and maintaining scalable, high-performance applications.
• Proven ability to collaborate effectively with cross-functional teams.
• Solid understanding of software development best practices, including code reviews, writing tests, and continuous integration.

Nice to Haves

• Experience with service-oriented architecture and distributed systems.
• Familiarity with AWS services and cloud infrastructure.
• Knowledge of databases such as DynamoDB, Postgres, or Redis.
• Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).
• Familiarity with frontend development with React and TypeScript.
• Experience with DevOps practices and tools such as Docker and Kubernetes.

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.
• Infrastructure tooling includes Istio, Datadog,Terraform, CloudFlare, and Helm.
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $190,000 - $230,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role

Attentive’s streaming platform is the backbone of our real-time messaging and personalization ecosystem, powering billions of events and processing millions of messages per second. It enables teams across the company to build responsive, data-driven products at massive scale.

We’re looking for an Engineering Manager to lead the Streaming Platform team, responsible for evolving and operating the core infrastructure that powers event ingestion, processing, and delivery across Attentive. In this role, you will combine strong technical leadership with people management to drive the next generation of our streaming architecture balancing reliability, scalability, and developer productivity.

You’ll work at the intersection of infrastructure, data, and product engineering, partnering closely with teams across the organization to ensure our streaming platform unlocks innovation in personalization, experimentation, and growth.

This is a high-impact role for a leader who thrives on scaling distributed systems and building high-performing teams in a fast-moving environment.

What You’ll Accomplish

Technical & Platform Leadership

• Define and drive the technical vision and roadmap for Attentive’s streaming platform (Kafka, Pulsar, Flink, etc.), aligning with company-wide goals.
• Evolve the streaming platform to support AI/agent-driven workloads, including real-time feature pipelines, low-latency inference, event replay, and closed-loop feedback systems for continuous learning and decisioning.
• Partner with ML and data teams to define standards and primitives (data contracts, observability, consistency) that enable reliable integration between streaming systems and AI agents while maintaining scalability, debuggability, and platform simplicity.
• Oversee the design and evolution of high-throughput, low-latency, and cost-efficient streaming systems that power mission-critical use cases.

Team Leadership & Execution

• Build, mentor, and lead a high-performing team of engineers, fostering a culture of ownership, collaboration, and continuous improvement.
• Balance hands-on technical involvement with people leadership, providing guidance on architecture, design, and execution.
• Drive effective planning, prioritization, and delivery across multiple initiatives while maintaining high standards for quality and reliability.

Developer Experience & Platform Adoption

• Champion improvements to the streaming developer experience, including tooling for observability, debugging, testing, and configuration.
• Enable product and data teams to move faster by building self-service capabilities and paved paths, while supporting advanced use cases for power users.
• Promote best practices in event design, schema management, and system usage across the organization.

Cross-Functional Collaboration

• Partner with product, data, infrastructure, and ML teams to deliver scalable, real-time solutions for customer-facing features.
• Act as a bridge between platform and application teams, ensuring alignment on priorities, tradeoffs, and system capabilities.
• Influence broader engineering strategy around real-time systems, data infrastructure, and platform architecture.

Operational Excellence

• Ensure high standards for reliability, observability, and incident response across the streaming ecosystem.
• Drive improvements in system performance, cost efficiency, and scalability.
• Establish and maintain best practices for monitoring, alerting, and debugging distributed systems at scale.

Your Expertise

• 9+ years of experience in software engineering, with 2+ years in engineering management or technical leadership roles.
• Strong background in distributed systems and high-throughput data infrastructure, particularly event streaming or messaging systems.
• Experience with technologies such as Kafka, Pulsar, Flink, Spark, or Kinesis, and a deep understanding of their tradeoffs and operating models.
• Proven ability to lead complex platform or infrastructure initiatives spanning multiple teams.
• Solid backend engineering skills (preferably Java/Spring Boot) with the ability to engage in technical design and code reviews.
• Experience building and operating systems with a focus on scalability, reliability, and debuggability.
• Familiarity with cloud-native infrastructure (AWS, Kubernetes/EKS) and infrastructure-as-code (Terraform, Helm).
• Strong understanding of observability practices (metrics, tracing, logging) in distributed systems.
• Demonstrated ability to hire, mentor, and grow engineers, and foster an inclusive, high-performance culture.
• Excellent communication skills, with the ability to clearly articulate technical tradeoffs and influence stakeholders.

What We Use

• Event Streaming: Apache Kafka, Pulsar, Flink
• Cloud Infrastructure: AWS (EKS/Kubernetes), Terraform, Helm, Istio, CloudFlare
• Backend: Java, Spring Boot, Gradle, DynamoDB, Postgres, Redis
• Observability: Datadog, distributed tracing, custom tooling
• Data & Automation: Python, Airflow, and integrations with ML/analytics systems
• Frontend (for tooling): React, TypeScript, GraphQL

Why This Role

• Own and shape the core real-time platform that powers Attentive’s entire product ecosystem
• Lead a team working on systems at massive scale (billions of events, millions/sec throughput)
• Influence company-wide architecture and unlock new capabilities in personalization and experimentation
• Grow as a leader while staying close to deep technical challenges in distributed systems

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $210,000 - $265,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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About the Role
The Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high performing onsite experiences powered by strong engineering and intelligent AI driven optimization.

What You’ll Accomplish

• Lead, mentor, and grow a high performing engineering team responsible for building the backend systems powering onsite customer growth products
• Set the technical vision and roadmap for backend services, APIs, and data driven systems that power personalized onsite experiences at scale
• Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
• Ensure the reliability, scalability, and performance of the systems that support customer growth and real time user interactions
• Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
• Foster a learning oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
• Own delivery of key product initiatives, balancing long term platform investments with near term business objectives
• Promote clean, maintainable, well tested code and high engineering standards across the team

Your Expertise

• 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
• Strong proficiency in one or more modern programming languages such as Java, or Typescript
• Experience designing and operating distributed systems, APIs, and microservice architectures at scale
• Hands on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
• Deep understanding of databases, messaging systems, or streaming technologies such as PostgreSQL, Redis, or Kafka
• Track record of building reliable, scalable, high throughput systems that support customer facing products
• Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
• Strong communication and cross functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
• A mindset rooted in ownership, curiosity, and a passion for building meaningful systems that drive measurable customer impact

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $193,000 - $250,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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By applying for this position, your data will be processed as per Attentive's Privacy Policy.

About the Role

We're looking for a Director of Engineering to lead our Shopper Management organization, the group responsible for how Attentive understands shoppers and helps determine the best ways to engage with them. This is the data foundation that powers everything: identity resolution, user profiles, segmentation, CRM, and product and offer intelligence. When a marketer asks "who is this shopper, what do they care about, and how should I reach them?", your team provides the answer.

This is a unique role that sits at the intersection of data platform engineering and product-facing systems. You'll own the technical strategy for building a unified, trustworthy shopper data foundation while delivering the marketer-facing experiences that make that data actionable. The pillar spans 5 teams, across identity systems, behavioral data pipelines, segmentation infrastructure, and CRM capabilities.

You'll be the engineering leader for a strategic pillar of the company, partnered closely with Product and Design leadership to drive our evolution to an omni-channel marketing platform with a deep customer focus, making Attentive the best place not just to send messages, but to understand the people behind them.

What You’ll Accomplish

• Set technical direction for the Shopper Management organization, spanning identity resolution, user profile, segmentation, products & offers, and CRM — ensuring these historically independent systems converge into a coherent, shopper-centric architecture
• Lead and grow an engineering organization across multiple sub-teams, hiring strong technical leaders, coaching managers, and building a culture of ownership and craft
• Drive the unified shopper technical strategy by evolving our cross-channel model that enables powerful personalization and attribution
• Build end-to-end data traceability and observability so that every system decision, from segment membership to message targeting, is explainable and auditable, laying the groundwork for client-facing insights
• Improve data quality and consistency across the platform, reconciling profiles with segmentation datasets, validating data integrations, and ensuring shopper data is standardized and accessible across all product surfaces
• Own the operational health of the domain, reducing support burden through better tooling, retiring legacy systems, and investing in automated quality detection and self-service debugging
• Partner with Product and Design to deliver marketer-facing experiences that make shopper data inspiring and usable, from segmentation tools to CRM interfaces and shopper profiles
• Accelerate developer velocity by investing in reliable dev/test environments, stable CI/CD, decoupled service architectures, clear system ownership, and agentic automation
• Collaborate cross-functionally with ML, messaging, analytics, and growth teams, whose systems depend on the shopper data foundation you maintain

Your Expertise

• 10+ years of software engineering experience, with 5+ years leading engineering teams including managing managers
• Deep understanding of related data platform architectures: you've led teams building identity systems, customer data platforms, user profile stores, event pipelines, or segmentation engines at scale
• Familiarity with direct marketing and martech ecosystems: you understand how customer data flows from collection through activation, and you appreciate the nuances of CRM, audience building, and personalization
• Strong people-first leadership: you develop engineering managers and tech leads, create high-trust environments, and make the people around you better. You know that the best technical outcomes come from well-supported teams
• Experience operating large-scale data systems: comfort with technologies like Spark, Dynamo, Flink, Kafka, Snowflake, Clickhouse, and similar tools for real-time and batch data processing
• Product sensibility: you can partner effectively with Product and Design, translating business needs into technical strategy and helping your teams understand the "why" behind what they build
• Track record of managing technical migrations and platform modernization: you've navigated the complexity of deprecating legacy systems while maintaining reliability and shipping new capabilities
• Strong communication skills: you can articulate technical strategy to executive stakeholders, align cross-functional partners, and create clarity in ambiguous problem spaces

Nice to Have

• Experience in martech, adtech, or e-commerce platforms where customer data and identity resolution are core to the product
• Background working with ML teams to operationalize predictive attributes into usable, personalized products within a direct marketing platform
• Experience with experimentation frameworks and A/B testing infrastructure
• Familiarity with data privacy and compliance requirements in the context of customer identity and behavioral data

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $243,000 - $315,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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What Impact You’ll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You’ll Be Owning

GRVTY is seeking a Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience in System Administration
• Demonstrated experience building and maintaining secure web applications on the Sponsor’s network JWICS C2S network
• Designing, developing, querying and maintaining ElasticSearch/AWS OpenSearch and related technologies
• Writing and tuning complex queries against structured and unstructured data sets using both SQL and ElasticSearch/OpenSearch languages
• Integrating Services C2S services including Lambdas, SNS, SQS, etc.
• Integrating AWS services including Lambdas, SNS, SQS, etc., in the sponsor’s classified environment
• Demonstrated experience leveraging a background in programming, software tools and packages, operating systems, and networking to solve collection needs in cloud environments.
• Demonstrated experience with the ability to listen and transcribe from mission need to technical requirements for Sponsor consideration.
• Demonstrated experience with the ability to reflect back an understanding of the mission need described and convey how a technical solution will deliver mission results.
• Demonstrated experience prioritizing work based on mission need.
• Demonstrated experience documenting and communicating technical and non-technical mission requirements for all audiences.
• Demonstrated experience working with other technical teams across multiple organizational boundaries.
• Demonstrated experience with assessing project requirements and making informed recommendations.
• Demonstrated experience with Python.
• Demonstrated experience with Linux shell scripting.
• Demonstrated experience building Docker containers and images.
• Demonstrated experience with cloud services, including Lambda functions and layers, S3, Batch, EC2, EventBridge, SQS, SNS, IAM roles, DynamoDB, and container services.
• Demonstrated experience using AWS Cloud Development Kits (CDK). (CloudFormation, Terraform or similar are NOT substitutes for CDK experience)
• Demonstrated experience transforming data in various file formats into common formats, such as JSON, CSV, or XML.
• Demonstrated experience working with application developers to identify and implement infrastructure and deployment requirements.
• Focus on monitoring, troubleshooting, and automating deployments, and secondarily, additional strengths in managing IT security vulnerabilities and security controls

What Would Be Nice to Have

• Demonstrated experience with tools, such as IDA Pro, Ghidra, JADX, or APKtool.
• Demonstrated experience with multiple cloud providers.
• Demonstrated experience with other programming languages besides Python.

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 

• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 

• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 

• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 

• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 

• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

• Own architectural integrity from concept through production deployment on AWS. 

• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 

• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

ABOUT THIS ROLE

As a Software Development Engineer in Test (SDET III), you will be a pillar of our Software Quality team, ensuring the performance and reliability of an AI-driven platform that operates in the real world. You will partner with engineers and product managers to architect scalable automation frameworks and drive a culture of technical excellence. We are looking for a high-level individual contributor who doesn't just find bugs, but engineers the infrastructure that prevents them.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

• Framework Architecture: Design, implement, and maintain scalable automation frameworks from scratch for UI (web/mobile), API, and backend services.

• Technical Leadership: Lead quality initiatives for complex, multi-service projects, providing architectural guidance and performing deep-dive code reviews for test code.

• CI/CD Integration: Own the integration of automated test suites into DevOps pipelines to ensure seamless execution and rapid feedback loops for the engineering team.

• Root Cause Analysis: Debug complex distributed systems to identify root causes across application code, infrastructure, and network configurations.

• Performance & Reliability: Design and execute sophisticated load, stress, and performance tests to ensure system stability under peak traffic and real-world conditions.

• Tooling Development: Build custom internal tools and dashboards to improve developer productivity, test data management, and environment orchestration.

• Test Case Management: Strategize and maintain comprehensive test coverage, utilizing manual testing only where automation is not feasible or effective.

• Cross-Functional Collaboration: Partner with stakeholders to define quality metrics and ensure all applications meet LVT’s high standards before deployment.

OUR IDEAL CANDIDATE

• Technical Education: Holds a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

• Programming Mastery: Expert-level proficiency in at least one major language (e.g., Python or TypeScript) with a focus on writing clean, maintainable, and DRY code.

• Automation Expertise: 5+ years of hands-on experience with modern tools like Playwright, Selenium, or Appium, and API frameworks such as PyTest.

• Architecture Knowledge: Deep understanding of microservices, REST/GraphQL APIs, and the communication protocols of distributed systems.

• DevOps Proficiency: Experienced with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP), including managing CI/CD tools like GitHub Actions or Jenkins.

• Data Savvy: Advanced SQL skills and experience testing NoSQL databases such as MongoDB or DynamoDB.

• Security & Observability Mindset: Familiarity with automated security scanning (SAST/DAST) and monitoring stacks like ELK, Splunk, or Datadog.

• Mentorship: A proven track record of mentoring junior-to-mid-level SDETs and fostering a culture of technical rigor and excellence.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform.
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 3 years of hands-on experience.

Roblox Storage team powers the data foundation behind every experience on the platform. As a Senior/Principal Software Engineer for Data Access, you will architect and build the next‑generation managed OLTP data access layer — engineered for extreme scale, global availability, and uncompromising security. You will design core infrastructure capable of serving hundreds of millions of queries per second while ensuring reliable, low‑latency access to data worldwide.

The challenges are large‑scale, highly technical, and business‑critical: you will shape foundational storage systems, evolve platform‑wide scalability and reliability, and provide strong technical leadership that raises engineering quality across teams. This work requires deep innovation, clear architectural vision, and a passion for distributed systems — redefining how Roblox engineers build, access, and trust data at scale.

You will:

• Partner with Product, Engineering, and Security teams to define long‑term strategy and technical requirements for the Data Access platform. 
• Lead the architecture, implementation, and operation of our storage Infra‑as‑a‑Service offerings, setting the engineering bar for scalability, reliability, and system hardening across teams.
• Improve and scale our large distributed 24x7 services and deliver features with urgency, cost efficiency, zero down time, and high reliability.
• Design and build frameworks or tools to automate development, testing, deployment, management, and monitoring of mission critical services.
• Collaborate with partner teams, producing project work plans, measurable metrics, delivery milestones, rollout plans, oncall alerts, and runbooks while leveraging existing technology stack.
• Give a high level of attention to creating high quality and reusable code, keeping development continuous without compromising site reliability.
• Improve SLAs across the platform and reduce end‑to‑end rollout time for critical storage and data-access features.

You have:

• Strong experience designing and delivering large-scale distributed systems handling millions of real-time requests per second.
• Deep data management knowledge in one or more of the following technologies: RDBMS (CockroachDB, SQL Server, Postgres, MySQL, RDB), Caching (Redis), Kafka, KV store (DynamoDB, Cassandra).
• Strong experience building deployment pipelines on top of container orchestrators like Kubernetes or Nomad and service discovery systems like Consul.
• Strong experience with programming languages like Rust, Go, Java, or C++.
• Strong scripting and test automation abilities.
• Experience with telemetry stacks, like Grafana, Prometheus, AlertManager, and Kibana.
• BS degree (or equivalent professional experience) in Computer Science, with at least 6 years of hands-on experience.

OVERVIEW

ALO’s Digital Engineering team is looking for a highly motivated Graduate or PhD-level Intern with strong foundations in computer science and modern internet-scale systems. This role is designed for candidates who want hands-on experience building and scaling server-side systems, cloud-native services, and AI-assisted development workflows in a real-world, production environment.

You will work closely with senior engineers on designing, developing, and optimizing distributed systems that power ALO’s digital platforms.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our San Ramon, CA office.

RESPONSIBILITIES  

• Design, develop, and test server-side components and APIs
• Assist in building and scaling distributed cloud-based systems
• Collaborate with senior engineers on architecture and implementation decisions
• Apply AI-assisted coding tools to improve productivity and code quality
• Write clean, maintainable, and well-documented code
• Participate in code reviews and technical discussions

MINIMUM QUALIFICATIONS

• Master's degree in computer science, Software Engineering, or a related field OR PhD candidate in Computer Science or a closely related discipline
• Strong understanding of Internet fundamentals, including:
  • HTTP/HTTPS
  • RESTful APIs
  • Web protocols and networking basics
• Solid experience with server-side programming
• Proficiency in at least one modern programming language, such as:
  • Java (preferred)
  • Python
  • Go
  • C++
• Strong conceptual understanding of:
  • Distributed systems
  • Concurrency and scalability
  • Fault tolerance and system reliability
• Working knowledge of cloud architecture, with emphasis on AWS, including services such as:
  • EC2, S3, RDS/DynamoDB
  • Lambda
  • API Gateway
  • IAM, VPC (conceptual understanding acceptable)
• Exposure to AI/ML-assisted development, including:
  • Using AI tools for code generation, refactoring, or testing
  • Understanding strengths and limitations of AI-generated cod

PREFERRED QUALIFICATIONS

• Hands-on experience building or deploying cloud-native applications
• Familiarity with:
  • Microservices architecture
  • Containerization (Docker, Kubernetes – a plus)
• Experience working with:
  • Version control systems (Git)
  • CI/CD pipelines
• Coursework or research in:
  • Distributed computing
  • Cloud systems
  • Machine learning or applied AI
• Strong problem-solving skills and ability to reason about system design trade-offs

WHAT YOU'LL GAIN

• Hands-on experience with production-scale systems
• Exposure to modern cloud architecture on AWS
• Practical application of AI/ML tools in software development
• Mentorship from experienced engineers in a fast-paced digital team
• Opportunity to make real impact on Alo’s digital platforms

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

ALO's Digital Engineering team is looking for a highly motivated Graduate or PhD-level Intern with strong foundations in computer science and modern internet-scale systems. This role is designed for candidates who want hands-on experience building and scaling server-side systems, cloud-native services, and AI-assisted development workflows in a real-world, production environment.

You will work closely with senior engineers on designing, developing, and optimizing distributed systems that power ALO's digital platforms.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Design, develop, and test server-side components and APIs
• Assist in building and scaling distributed cloud-based systems
• Collaborate with senior engineers on architecture and implementation decisions
• Apply AI-assisted coding tools to improve productivity and code quality
• Write clean, maintainable, and well-documented code
• Participate in code reviews and technical discussions

QUALIFICATIONS

• Master's degree in computer science, Software Engineering, or a related field OR PhD candidate in Computer Science or a closely related discipline
• Strong understanding of Internet fundamentals, including:
  • HTTP/HTTPS
  • RESTful APIs
  • Web protocols and networking basics
• Solid experience with server-side programming
• Proficiency in at least one modern programming language, such as:
  • Java (preferred)
  • Python
  • Go
  • C++
• Strong conceptual understanding of:
  • Distributed systems
  • Concurrency and scalability
  • Fault tolerance and system reliability
• Working knowledge of cloud architecture, with emphasis on AWS, including services such as:
  • EC2, S3, RDS/DynamoDB
  • Lambda
  • API Gateway
  • IAM, VPC (conceptual understanding acceptable)
• Exposure to AI/ML-assisted development, including:
  • Using AI tools for code generation, refactoring, or testing
  • Understanding strengths and limitations of AI-generated code

PREFERRED QUALIFICATIONS

• Hands-on experience building or deploying cloud-native applications
• Familiarity with:
  • Microservices architecture
  • Containerization (Docker, Kubernetes – a plus)
• Experience working with:
  • Version control systems (Git)
  • CI/CD pipelines
• Coursework or research in:
  • Distributed computing
  • Cloud systems
  • Machine learning or applied AI
• Strong problem-solving skills and ability to reason about system design trade-offs

WHAT YOU'LL GAIN

• Hands-on experience with production-scale systems
• Exposure to modern cloud architecture on AWS
• Practical application of AI/ML tools in software development
• Mentorship from experienced engineers in a fast-paced digital team
• Opportunity to make real impact on ALO’s digital platforms

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

Overview

• We’re seeking an experienced Lead Engineer to design, build, and deliver core Retail Store systems that power Alo’s in-store and omnichannel experiences.

• This role will be hands-on and technical, owning the design and delivery of store-facing applications including POS, OMNI order fulfillment by stores, and inventory receiving.

• International store expansion will be a key responsibility, alongside ongoing enhancements and reliability of domestic and global store systems.

• Work closely with Product, Retail Operations, ERP, and external partners to deliver scalable, reliable, and pragmatic solutions for real-world store environments.

• Requires deep technical expertise, strong system design skills, and ownership mindset for store-critical platforms.

Responsibilities

• Lead the technical design and implementation of store systems including POS, OMNI fulfillment (ship-from-store, BOPIS, cancellations, returns), and inventory receiving.

• Act as a hands-on technical lead, setting architecture, coding standards, and best practices across the team.

• Translate business and operational requirements into scalable, resilient, and maintainable technical solutions.

• Contribute directly to development using Java, Python, NodeJS, and React across backend and frontend systems.

• Design and build integrations with Shopify, ERP, OMS, loyalty platforms, and third-party vendors.

• Support international store expansion by deep diving into localization, regional compliance, taxation, and operational requirements for new countries.

• Ensure systems work effectively in physical retail environments, including POS hardware, peripherals, and unreliable network conditions.

• Collaborate closely with store managers and store teams to understand operational pain points and deliver pragmatic, easy-to-adopt solutions.

• Partner with Retail Operations and Product on rollout planning, training support, and adoption of new store-facing features.

• Design and operate event-driven and distributed systems using Kafka, ensuring idempotency, retries, and eventual consistency.

• Own service reliability for store systems by defining SLOs, improving error rates, and reducing MTTR.

• Build and maintain monitoring, alerting, and observability using tools such as Splunk and New Relic.

• Participate in on-call rotations, incident response, root-cause analysis, and post-incident improvements.

• Plan and execute for peak retail events (promotions, holidays, store launches) and support change discipline during critical windows.

• Drive best practices for testing, CI/CD, release management, and infrastructure-as-code.

• Ensure data accuracy, auditability, and reconciliation across inventory, order, and financial systems.

• Maintain strong security, access controls, and compliance standards for systems used in physically accessible store environments.

• Mentor junior engineers through technical guidance, code reviews, and design discussions.

Qualifications

• 7+ years of software engineering experience, with experience leading technical design and delivery for complex systems.

• Strong domain experience in Retail systems, store operations, and omnichannel commerce.

• Experience delivering store-facing systems such as POS, inventory receiving, and order fulfillment.

• Proficiency in Java, Python, and NodeJS; experience building backend services using Spring.

• Experience with frontend development using React.

• Hands-on experience integrating with Shopify and other retail platforms.

• Strong experience with relational and NoSQL databases including Oracle DB, MySQL, and DynamoDB.

• Experience designing and operating event-driven architectures using Kafka.

• Strong understanding of distributed systems concepts including retries, idempotency, eventual consistency, and transactional patterns.

• Experience with monitoring, logging, and alerting using tools such as Splunk and New Relic.

• Experience owning production reliability, incident response, and operational metrics.

• Proficiency with build and configuration tools such as Maven, Ant, and YAML.

• Experience with source control and collaboration using GitHub.

• Hands-on experience with containerization and orchestration using Docker and Kubernetes.

• Experience deploying and operating systems in AWS, including SAM and Terraform.

• Understanding of payment processing, settlement, taxation, and country-specific compliance considerations.

• Experience with omnichannel retail workflows including store fulfillment, ship-from-store, BOPIS, split shipments, cancellations, and returns.

• Strong ownership mindset with accountability for technical quality and business outcomes.

• Data-driven problem solver with pragmatic engineering judgment.

• Excellent cross-functional collaboration and communication skills.

• Comfortable operating in fast-paced, imperfect retail environments where store impact is critical.

The base salary range for this position is $175,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

ALO brings together mindfulness, movement, and modern technology. Our retail experiences are thoughtfully designed, from studio to store to digital touchpoints, and powered by systems that must be as elegant as they are resilient.

As an intern at ALO, you won’t be observing the sidelines. You’ll help build technology that directly shapes how guests experience the brand every day. Here, innovation is rooted in purpose, craftsmanship, and impact.

OVERVIEW

At ALO, retail is more than a transaction—it’s an experience grounded in intention, movement, and connection. As a Retail Engineering Summer Intern, you’ll help build the technology that powers seamless in-store and omni-channel experiences for both customers and store associates.

This internship offers hands-on exposure to modern retail platforms, cloud-native systems, and data-driven decisioning, supporting capabilities such as Buy Online Pick In Store (BOPIS), Same Day Delivery (SDD), Ship-to-Store (STS), Ship-from-Store (SFS) and Point of Sale (POS) innovation. You’ll work alongside engineers, product managers, and retail operations leaders to deliver scalable solutions that directly impact how ALO shows up in physical and digital spaces.

This role is ideal for graduate students and early-career engineers who are excited about applying strong technical fundamentals to real-world retail challenges at scale.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our San Ramon, CA office.

RESPONSIBILITIES  

• Develop and enhance microservices-based applications using Java and Python
• Build and deploy scalable, cloud-native solutions leveraging AWS services (Lambda, S3, DynamoDB, RDS, etc.)
• Support database design, optimization, and performance tuning using MySQL
• Collaborate with engineering and product teams to integrate systems that power omni-channel retail flows
• Contribute to POS feature enhancements that improve in-store associate efficiency and customer experience
• Participate in code reviews, debugging, and production issue troubleshooting
• Learn and contribute to CI/CD pipelines, API development, and cloud engineering best practices
• Create and maintain technical documentation; share learnings with the broader team

REQUIRED QUALIFICATIONS

• Currently pursuing or recently completed a BS or MS in Computer Science, Software Engineering, or a related technical field
• Hands-on experience with Java and Python
• Foundational understanding of microservices architecture and RESTful APIs
• Familiarity with AWS cloud services and relational databases such as MySQL
• Strong problem-solving mindset with the ability to thrive in a fast-paced environment
• Clear communication skills and a collaborative, team-first approach

PREFERRED QUALIFICATIONS

• Exposure to retail, eCommerce, or omni-channel systems
• Experience with cloud-native development, distributed systems, or event-driven architectures
• Interest in data-driven systems, analytics, or AI-enabled decisioning within retail workflows
• Prior internship, academic project, or hands-on experience building production-grade software

WHAT YOU'LL LEARN / GROWTH OPPORTUNITIES

• How modern retail platforms support real-time inventory visibility, fulfillment, and store execution
• Practical experience building scalable, cloud-based services used across physical and digital channels
• Exposure to the intersection of engineering, retail operations, and customer experience design
• Best practices for working in agile teams, from concept through deployment
• Mentorship from experienced engineers and technology leaders in a high-growth environment

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Staff Machine Learning Engineer, you will lead the development of a large-scale ML Inference Platform at Reddit.

• Lead the end-to-end design, implementation, and maintenance of a highly available, low-latency GPU-based model serving system for search, ranking, and LLMs supporting Millions of QPS.
• Design and develop ML and Generative AI systems in cloud-based production environments on Kubernetes at scale.
• Rapidly develop prototypes and develop a high-performance feature hydration and processing system as a part of the inference stack - including routing, caching, and batching.
• Lead a unified GPU model export framework to support converting trained models into optimized GPU inference models.
• Strong understanding of real-time ML observability to track feature/model performance.
• Experience working with LLM serving online at scale.
• Built an E2E inference performance benchmarking framework
• Deep Understanding of multi-cluster compute environment and network topology that is specific to ML inference use cases.

Who You Might Be:

• 7+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
• Have experience operating orchestration systems such as Kubernetes at scale
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
• Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
• Strong proficiency in Python and deep experience with modern AI/ML frameworks (Triton, Dynamo, vLLM, Pytorch)

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Get to know the role

• Job Title: Manager, Software Development

• Job Summary: Manages and oversees the design and development of software applications.

• FLSA Classification (US Only): Exempt

• People Manager: Yes

What you’ll do

• Lead, coach, and manage a team of Software Engineers, fostering strong engineering practices and effective collaboration with cross‑functional technology teams and business stakeholders in an agile environment.

• Define and own the future‑state roadmap for the portfolio, providing regular updates on progress, delivery milestones, and key performance indicators.

• Guide design, analysis, and architectural decision‑making across platforms to deliver scalable, end‑to‑end solutions that balance business needs, cost considerations, and system impact.

• Lead and facilitate multi‑team design and planning sessions to align on solution approaches and execution strategies.

• Drive exploration, development, and adoption of AI‑enabled solutions to improve team productivity, platform performance, and overall delivery outcomes.

• Provide technical and strategic leadership across initiatives, including setting standards, contributing to organization‑wide processes, and participating in committees or cross‑team efforts that improve consistency and quality.

• Develop team members through coaching, feedback, and performance management, including establishing development plans and mentoring current and future leaders.

• Foster a culture of accountability, continuous improvement, and innovation that encourages thoughtful experimentation and challenges the status quo in support of business outcomes.

What you’ll bring

• 2–5 years of demonstrated experience leading and managing engineering teams or complex technical initiatives.

• 5+ years of experience building, operating, or overseeing modern, multi‑tier digital applications and services in production environments.

• Bachelor’s degree in a related field or equivalent practical experience.

• Experience leading teams working with modern JavaScript ecosystems, including React and React‑based frameworks such as Next.js, or equivalent technologies.

• Strong understanding of web and service fundamentals, including HTTP, RESTful APIs, authentication, caching, and browser‑server interactions.

• Experience working with cloud‑native architectures, including containerized workloads (EKS, ECS) and managed data stores (RDS, DynamoDB) on AWS or comparable cloud platforms.

• Proven ability to lead both teams and projects, influence across a highly matrixed organization, and effectively resolve organizational and delivery challenges.

• Experience operating in distributed, scalable production environments with awareness of monitoring, reliability, and operational best practices.

• Strong communication skills with the ability to engage and influence both technical and non‑technical stakeholders at all levels.

• Results‑oriented mindset with a strong customer focus, attention to quality, and commitment to execution.

• Growth mindset with the ability to adopt new practices and lead their adoption across teams.

• Proficiency with standard productivity and collaboration tools, including Microsoft Office Suite and Atlassian products.

Base Salary Range: For this role, new hires generally start between $141,000.00 - $188,000.00 per year. The full range is $141,000.00 - $254,000.00 per year. This range is applicable for the labor market where the role is intended to be hired. The final base salary is directly related to the candidate’s qualifications and professional experience uniquely.

#LI-PS #LI-Hybrid

Location

Palo Alto, CA

Job Description

Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. 

Additionally, our Data Engineers perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business values and customer success.

Responsibilities:

• Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
• Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
• Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
• Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
• Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
• You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Communicate project status and results to various levels of leadership.

Qualifications:

• At minimum Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 3 years of professional experience, or a Master’s degree with strong academic project experience and one year of work experience.  
• Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
• Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
• Experience building and maintaining ETL data pipelines
• Experience with software development life cycle including testing, documenting, delivery and support
• Working knowledge of AWS/cloud technologies
• Experience using query optimization as well as data modeling techniques.
• Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)

Personal Qualities:

• Bias for action: Rhombus seeks ‘doers’ who will get things done with accuracy, speed and at scale.
• Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.

Salary Range

• The estimated base salary range for this position is $110,000 to $180,000/year

Benefits 

• Full medical, dental, vision coverage for employee and dependents 
• 401k matching program 
• PTO and Holidays 
• Bonus and other incentive programs
• Access to mental health program
• Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus 

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. 

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. 

Guild is seeking a Senior Software Engineer II to join our Member Experiences pillar, focused on enhancing the scalability, flexibility, and reliability of our client data onboarding and integration systems. In this role, you will design and deliver robust software solutions that serve the evolving needs of our Employer Partners and the employees they support.

We’re looking for a self-driven, product-minded engineer who thrives in fast-paced environments and is comfortable navigating ambiguity. You will collaborate cross-functionally with internal stakeholders to develop adaptable, high-impact systems that help our partners deliver seamless access to Guild’s education benefits and coaching services.

As a senior member of the team, you’ll contribute from day one; crafting high-quality, scalable solutions that can keep pace with Guild’s rapid growth and the dynamic volume of client and user needs.

As a Senior Software Engineer II, you will:

• Develop and maintain robust software systems that power core member experiences; ranging from user-facing applications to internal tools and supporting service layers; ensuring performance, maintainability, and adaptability.

• Partner with senior and staff engineers to design modular, observable, and secure architectures that scale with Guild’s growth and accommodate evolving business needs and high-volume client demands.

• Write clean, testable, and reusable code. Contribute to end-to-end development including testing, CI/CD pipelines, monitoring, and deployment, ensuring high availability and quality in releases.

• Lead by example in code quality, technical decision-making, and documentation practices. Create and contribute to design documents, architecture decision records (ADRs), and technical discussions that communicate trade-offs clearly.

• Work closely with product managers, designers, operations teams, and external client technical teams to translate business requirements into effective engineering solutions. Contribute to planning, estimation, and execution of product roadmap items.

• Use operational data; such as logs, metrics, and user feedback; to identify and implement enhancements in performance, reliability, and developer velocity. Take ownership of resolving issues and driving root cause analysis and sustainability.

• Improve internal development processes, tools, and workflows to enhance code quality, speed of delivery, and system security.

• Participate in on-call rotations and incident response. Provide constructive code reviews and mentorship to help elevate teammates and build a high-performing engineering culture.

You are a strong fit if you have:

• 5+ years of software development experience with: Python, TypeScript, Node.js, React, PostgreSQL, DynamoDB, and GraphQL

• Hands-on experience with: AWS services, including Lambda, Serverless Framework, Glue, API Gateway, and CDK or other Infrastructure-as-Code (IaC) tools

• A deep understanding of: the full software development lifecycle; from gathering technical requirements and selecting technologies to deploying and maintaining production systems

• AI Experience:  Utilizing AI-assisted development tools such as Cursor, GitHub Copilot, or similar; Experience integrating LLM APIs (e.g., OpenAI) and building AI-powered features, including assistants, summarization, RAG workflows, and vector search

Ideal Candidate Qualities:

• Demonstrated success working in a production AWS microservices environment

• Ability to write simple, clean, and maintainable code

• Brings thoughtful technical opinions, but remains open to new perspectives (“strong opinions, loosely held”)

• Willingness to take calculated risks and contribute vision and direction to both the team and Guild as a whole

• A mindset of continuous learning and improvement

• A genuine passion for Guild’s mission and long-term impact

• Excellent collaboration skills; able to work cross-functionally, share knowledge, and foster team alignment

We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $160,000 - $195,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.

Posting Date: May 4, 2026

*This role will stay open for a minimum of 3 days. 

Overview 

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the Role

Flex is looking for a Staff Software Engineer to join our core platform team. We want engineers with ideas (because they’ll definitely be heard on our small and tight-knit team) and ambition! Successful devs will feel comfortable in a startup environment and will be happy to work in a remote-first team with a lot of independence. As a Staff Engineer at Flex, you’ll help set technical direction and shape the long-term architecture of our backend services while still being hands-on with coding and delivery. You will collaborate across engineering, product, design, and other stakeholders to ensure scalable, reliable, and impactful systems that power consumer experiences, partner integrations, and our core business platforms. You’ll also play a critical role in mentoring engineers, elevating technical standards, and ensuring the success of projects end-to-end.

Our Engineering Teams

• Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
  
  
• Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
  
  
• Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
  
  
• Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.

What You’ll Do

• Design, implement and maintain our Finance service and internal tooling, including financial reporting, reconciliation/audit process.
• Design and develop new APIs and functionalities to support large money movements across our banking partners via different payment rails, such ACH.
• Scale out core platform to support business growth while maintaining performance and reliability 
• Continuously improving our daily operations with automation, tooling, design evolution, observability etc.
• Work closely with product, analytics, finance and engineering peers to launch new financial features into our platform

What We're Looking For

• 6+ years of experience in software development or a related field 
• Experience in technical leadership, guiding engineering teams through complex projects 
• Experience with Java, Python, Golang, or TypeScript/Node.js.
• Strong experience with relational SQL and NoSQL databases, such as MySQL/PostgreSQL/DynamoDB
• Experience in designing and developing the fault-tolerant and scalable distributed systems 
• Experience with AWS cloud services: ESC/EKS, Lambda, API Gateway, VPN, RDS etc
• Infrastructure as code(AWS CLI, AWS CDK/Terraform)  
• Strong communication skills with the ability to understand and explain technical issues to a non-technical audience 
• Follow engineering best practices as well as propose new ones 
• Experience with finance reporting and reconciliation
• Deep experience with writing complex query and data mining
  
  

• Tier A: (NYC/SF): $200,000 —$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000 —$212,500 USD

#LI-Remote

About the role

Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Platform you will have opportunities to work with:

• Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
• Event data stream ingestion which supports near real-time fraud rules setup. 
• Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud. 

What You'll Do:

• Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
• Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework. 
• Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms 

Qualifications

Minimum Qualifications

• Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
• 6+ years of professional software development experience.
• 5+ years of hands-on experience with Java.
• 2+ years of experience with React or React Native.
• 2+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collabo

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 5+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

About the job

Flex is hiring Senior Software Engineer, Backend roles across four engineering teams: Consumer, Partner Integrations, Core Platform, and Risk. When you apply, you will automatically be considered for all open Senior Backend positions, and your placement will be determined based on your experience and expertise assessed during the interview process.

As a Senior Backend Engineer at Flex, you will play a key role in designing, building, and scaling backend services and APIs that power our products, partner integrations, and critical risk management platforms. You’ll collaborate closely with cross-functional teams to deliver robust, fault-tolerant systems that impact renters and partners at scale.

You will own the end-to-end lifecycle of your services- from requirements and architecture through implementation, testing, deployment, and monitoring- and help elevate the team by driving technical best practices and mentoring junior engineers.

Our Engineering Teams

• Consumer Engineering: Builds the APIs and backend systems powering Flex’s main consumer-facing products. This team focuses on delivering scalable services for a seamless rent payment experience through our mobile and web apps.
  
  
• Partner Integrations Engineering: Owns the backend services and integrations that connect Flex to financial partners and payment networks, ensuring reliable, secure payment flows and partner-facing experiences.
  
  
• Core Platform Engineering: Maintains the backend systems and infrastructure supporting all business features, including Payments, Billing, Identity, and Partner Integrations, ensuring Flex’s foundation is robust and scalable.
  
  
• Risk Platform Engineering: Develops the platforms and APIs that mitigate credit and fraud risk, enhancing customer accessibility while safeguarding against misuse through advanced rules engines, machine learning, and event data systems.

A minimum of 4 years of experience with Java is required for this position.

What You'll Do

• Design, develop, test, and scale backend services and APIs that power Flex’s consumer products, partner integrations, risk management systems, and core platform services.
• Build and operate robust, fault-tolerant distributed systems with multiple external dependencies.
• Implement service APIs for web and mobile apps, simplifying complex rent payment processing.
• Work closely with Product, Design, Infrastructure, Sales, Partner, and Customer Success to deliver features and integrations that delight customers and partners.
• Translate feature requirements into technical specifications and lead the architecture and implementation of scalable solutions.
• Drive the full lifecycle of services and APIs you build, including deployment, monitoring, and optimization for high availability and performance.
• Contribute to evolving Flex’s service-oriented architecture, REST APIs, message queues, and scalable systems design.
• Develop risk management systems such as rules engines, ML-powered fraud detection, and high-scale event ingestion pipelines.
• Mentor junior engineers and help elevate the team’s engineering practices through code reviews, architecture discussions, and technical leadership.
• Ensure services are observable and reliable using monitoring tools and industry best practices.
• Collaborate on CI/CD improvements and automation to increase code quality and delivery velocity.

Key Qualifications

• • Strong computer science fundamentals with a proven track record of building scalable backend systems.
  • 5–6+ years of professional software engineering experience with a focus on backend development.
  • 4+ years of hands-on Java experience, with deep knowledge of the Java ecosystem.
  • Proficient in Java frameworks and tools used at Flex: Spring (core/web/boot), Gradle, JUnit, JVM tuning and performance optimization.
  • Experience operating services in distributed, service-oriented architectures at scale.
  • Familiarity with REST API design, mobile API best practices, and message-driven architectures.
  • Skilled at building robust, fault-tolerant systems and integrating with multiple external dependencies.
  • Experience designing and maintaining data pipelines and working with big data platforms (bonus: Snowflake).
  • Hands-on experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB), containerization (Docker/Kubernetes), and Infrastructure as Code (CDK/Terraform).
  • Skilled in observability and monitoring tools (e.g., DataDog) to ensure high availability.
  • Ability to write high-quality code that is testable, maintainable, scalable, and secure, using industry best practices throughout the SDLC (unit testing, build automation, CI/CD).
  • Excellent communicator, comfortable working with distributed teams and cross-functional stakeholders.
  • Proven ability to mentor junior engineers and raise the technical bar through best practices.
  Risk Platform candidates: Experience in risk engineering, rules engine architecture, and implementing risk/fraud/credit policies in production systems is highly valued.

• Tier A: (NYC/SF): $172,000 —$215,000 USD
• Tier B: $154,800—$193,500 USD
• Tier C: $146,200 —$182,750 USD

#LI-Remote

About the job

Flex is looking for a Software Engineer who will be responsible for implementing the various backend systems that support all business features.

In this role, you will be part of the backend engineer team, responsible for the services and integrations that power our products, such as Payment, Billing, Identity, partner integration, etc. You’ll be designing, developing, testing, and scaling systems needed to deliver great user and partner experiences.

You’ll work closely with your product, design and engineering peers to solve our users' most pressing problems around rent payment. You’ll roll out changes to our customers in an agile manner with a delivery cadence that favors small, frequent iterations. The ideal candidate will be comfortable leading scoping, design and implementation for APIs they build and can drive their production rollouts to completion with minimum oversight.

A minimum of 4 years of experience with Java is required for this position.

Minimum Qualifications

• Minimum of 6 years experience in software engineering
• Minimum of 4 years experience with Java
• Ability to work on a globally-distributed team with a high degree of ownership
• Experience working with technical and non-technical stakeholders, successfully aligning and setting expectations on scope and delivery
• Ability to grow in a fast-paced and dynamic environment that will challenge you to always bring your best
• Experience building robust, fault-tolerant systems with multiple external dependencies
• Experience designing, building, and maintaining data pipelines
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier 1 (NYC/SF/Seattle): $172,000—$212,000 USD
• Tier 2: $154,800—$193,500USD
• Tier 3: $146,200—$182,740 USD

#LI-Remote

Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 7+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000—$212,000 USD

What Impact You’ll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You’ll Be Owning

GRVTY is seeking a Software Developer (Systems Software) with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. Support a team specializing in designing, engineering, implementation, development and maintenance of enterprise quality mission systems, networks, and applications.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated experience implementing and managing Cl/CD pipelines (Jenkins required)Strong proficiency with Infrastructure as Code tools: Terraform (required)
• Demonstrated experience with AWS services including EC2, S3, RDS, Lambda, VPC, 1AM, CloudWatch, and other core services
• Demonstrated experience with containerization (such as Docker and Pod man)
• Strong scripting proficiency: Bash (required) and Python (required)
• Experience with database self-hosting including installation, configuration, backup/recovery, high availability, and performance tuning (PostgreSQL and MySQL)
• Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Alertmanager and CloudWatch
• Demonstrated experience integrating and deploying diverse software systems: AWS cloud services, open-source applications, COTS/GOTS products, and custom applications
• Strong understanding of networking, security, 1AM policies, and AWS architecture best practices
• Experience with Git-based workflows, branching strategies, and version control best practices

What Would Be Nice to Have

• Experience deploying and managing data platform components: Apache Spark, Tri no, Apache Ranger, Apache Iceberg, Apache Superset, data catalogs
• Familiarity with data lakehouse architectures and supporting infrastructure
• Experience with secrets management solutions (AWS Secrets Manager, Parameter Store)
• Knowledge of disaster recovery, backup strategies, and continuity planning
• Familiarity with API gateways and modern microservices patterns
• Experience with cost optimization practices in AWS
• Background deploying and supporting Al/ML workloads or model serving infrastructure
• Experience mentoring team members on DevOps and cloud best practices
• Experience with NoSQL databases (DynamoDB, MongoDB, etc.)
• Familiarity with additional monitoring tools (Grafana, ELK stack)
• Experience integrating customer's Enterprise services

About the Staff Machine Learning Engineer at Headspace:

The AI & Machine Learning group at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of AI. Our group builds conversational AI systems including Ebb, as well as search, recommendation & personalization systems that power the Headspace experience. The Staff ML Engineer for Personalization will be part of the team developing and delivering the holistic system to enable the personalization of the Headspace experience, including content recommendation, personalized nudges & notifications, and a tailored conversational AI experience with Ebb. You’ll have the opportunity to lead the vision, alignment, development, deployment, and adoption of these solutions, helping to realize Headspace’s mission to improve the health and happiness of the world.

What you will do:

• Technical Leadership: Lead the development of recommender systems for Headspace meditation & mindfulness content as well as other backend services that enable a personalized member experience including search, a user knowledge graph, and conversational AI memory. This will involve developing and deploying complex, scalable AI models and applications. Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare. Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth.
• Shape Personalization Architecture: Contribute to the design, development, and evolution of our AI systems, taking it from high-level vision to robust implementation, enabling production-ready AI capabilities.
• Collaborative Problem-Solving: Partner with our team of software engineers,ML engineers, and MLOps engineers, and our Product & Clinical leads to build high quality features that improve members’ lives.

What you will bring:

Required Skills:

• Bachelor of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience
• 5+ years of ML engineering experience in an academic or professional setting, programming in Python
• 5+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems.
• 3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)
• Experience with unit, integration, and end-to-end testing, version control
• Strong problem solving and communication skills and ability to influence across internal organizations
• Mentorship of junior engineers and contribution to DEIB initiatives

Preferred Skills:

• Master’s degree in relevant field or equivalent experience
• Professional experience with clinical and/or healthcare applications of machine learning
• Familiarity with current ML literature
• Experience with implementation of robust and highly scalable services
• Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM

Location: We are currently hiring this role remotely. Candidates must permanently reside in the US full-time.

For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. 

Pay & Benefits:

The anticipated new hire base salary range for this full-time position is $140,400-$200,000 + equity + benefits. 

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. 

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.

Why You’ll Love Working Here:

A mission that matters—with impact you can see and feel

A culture that’s collaborative, inclusive, and grounded in our values

The chance to shape what mental health care looks like next

Competitive pay and benefits that support your whole self

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. 

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. 

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.  

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. 

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice

About the Principal Machine Learning Engineer at Headspace:

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. These applications include building conversational AI systems, healthcare assistance tools, and recommendation and personalization systems. In this team, you’ll be tasked with owning and delivering cutting edge language-based ML applications that will power the core features of Headspace. You’ll have the opportunity to lead the vision, alignment, development, deployment, and adoption of these solutions, helping to bring Headspace to the forefront of AI and to realize its mission to improve health and happiness of the world.

What you will do:

• Technical Leadership: Lead the development of complex, scalable AI models and applications from inception to production. Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare. Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth.
• Shape ML Platform Architecture: Drive the design, development, and evolution of our internal ML platform, taking it from high-level vision to robust implementation.
• Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions.

What you will bring:

Required Skills:

• Master’s of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience
• 8+ years of ML engineering experience in an academic or professional setting, programming in Python
• 8+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems.
• 5+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)
• Experience with unit, integration, and end-to-end testing, version control
• Strong problem solving and communication skills and ability to influence across internal organizations
• Mentorship of junior engineers and contribution to DEIB initiatives

Preferred Skills:

• PhD in relevant field or equivalent experience
• Professional experience with clinical and/or healthcare applications of machine learning
• Familiarity with current ML literature including optimization methods and agent-based models
• Experience with implementation of robust and highly scalable services
• Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM

Location: We are currently hiring this role Remotely. If located in San Francisco then it will be hybrid (3 days a week). Candidates must permanently reside in the US full-time.

For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. 

Pay & Benefits:

The anticipated new hire base salary range for this full-time position is $162,000-$250,000 + equity + benefits. 

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. 

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.

Why You’ll Love Working Here:

A mission that matters—with impact you can see and feel

A culture that’s collaborative, inclusive, and grounded in our values

The chance to shape what mental health care looks like next

Competitive pay and benefits that support your whole self

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. 

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. 

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.  

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. 

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice