Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.

This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.

What you’ll be doing

• Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
• Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
• Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
• Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
• Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
• Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
• Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test

What we need to see

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
• Strong proficiency in Python and experience with frameworks such as Flask or Django
• Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
• Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
• Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
• Proficiency with version control systems such as GIT or GitLab
• Strong Linux knowledge—deployment, debugging, system monitoring, and automation
• Familiarity with bash scripting and Linux‑based automation workflows

Ways to stand out from the crowd

• Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
• Experience with real‑time operating systems (RTOS) or embedded firmware development
• Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
• Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
• Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems

Bonus Qualifications – Agentic AI Tools & Intelligent Automation

Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:

• Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
• Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
• Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
• Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
• Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
• Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
• Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics

How you’ll demonstrate Ownership

We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future.

The Impact you bring to Cognite

• Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows.
• Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents.
• Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools.
• Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task.
• Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems.
• Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process.
• Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components.
• Stay up to date on the latest developments in the field, and mentor junior developers.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.
• 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale.
• 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs.
• Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers.
• Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform).
• Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response.
• Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain).
• Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly.

Preferred Experience

• Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks.
• Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent).
• Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs.

A snapshot of our many perks and benefits as a Cogniter

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Business Value Consulting (BVC) is a critical, client-facing role where the consultant will work closely with the MongoDB Sales team, playing a key role in driving the business forward. In a pre-sales perspective, BVCs engage with clients to capture and communicate the potential business value that our solutions provide. For post-Sales, BVCs validate the value, identify optimization opportunities and identify new growth opportunities. You will work across all industries, evaluating the business benefits and financial value to companies primarily in our Enterprise market.

*This role will be focus on North America, with flexibility for the candidates. Significant remote work allows us to support multiple Sales regions across the region. 

Responsibilities

• Support the sales organization, to impact both tactical and strategic opportunity success of our field sales force
• Develop Business Value Consulting collateral for internal and external use: when new MongoDB products are released, and when a gap or need of the practice is identified
• Serve as a mentor to sellers who may be unfamiliar with this role, and further improve the value selling capabilities of the rest
• Engage with customers using a value-based selling approach to build a compelling narrative that covers the current state, the desired future state, the value in closing the gap, and a delivery plan to ensure their success
• Use business, technical, and financial analyses to understand the baseline and future state capabilities of the customer
• Create and present the business case and the forecasted business impact the customer can achieve using MongoDB solutions
• Translate technical concepts and recommendations into business benefits for management and executives
• Travel is required but varies throughout the year

Requirements

• B.A. / B.S. from an accredited college; preference for Business Management, Economics, Finance or related degree
• 5+ years of proven experience as a Business/Technology Strategy Consultant with some Business Case experience
• 1-3+ years of experience working for a vendor in business value consulting role.
• Enterprise business and financial modeling experience, familiarity with key financial metrics: ROI, TCO, NPV, IRR
• Polished presentation and interpersonal skills
• Inquisitive personality to facilitate interview sessions with client roles, both business and technical stakeholders
• Experience addressing executive and senior level stakeholders
• Strong technical understanding of enterprise infrastructure, technology stack, software development methodologies (SDLC, Agile, DevOps), RDBMS and/or NoSQL software

An Ideal Candidate

• Audible-ready, ability to adapt to customer situations 
• Enjoys working in a fast-paced sales environment
• Experience working for a software vendor

About MongoDB

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

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

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

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

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

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

Req ID: 1273414990

The Information Technology (IT) Alliance plays an important role throughout the HelloFresh business – from delivering the best hardware and software service for each employee to managing the advanced technology in the fulfillment centres and logistic hubs, where the HelloFresh boxes are produced. Through exploration of emerging technologies and automating existing solutions, they're continually optimizing and reducing costs to support our ambitious growth.

Our Infrastructure Engineers assume development and operational responsibility for the HelloFresh network infrastructure that serves millions globally to deliver the best experience for our customers and internal users. Based in Newark, New Jersey you will provide on-site support to the Newark area. Together with Infrastructure Engineers from North America, Europe and Australia you will change the way people eat forever.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

You will...

• Take ownership of the architecture, design, development, deployment and operations of the network infrastructure using best practices 
• Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Infrastructure Engineers and Business teams 
• Have an in-depth understanding of HelloFresh’s network architecture, and act as ambassador for solutions offering support and mentorship to colleagues
• Work with state-of-the-art technologies like Cisco, Meraki and Fortinet

Travel to various of our operating locations within our global stations to support the local teams. (up to 25%)

You have… 

• 3-5 years of progressive experience in Network Engineering, Design & Management
• Experience maintaining LAN, WAN and WLAN infrastructures, Layer 2 and Layer 3 networks as well as IPv4/IPv6 networks and routing
• Working knowledge of enterprise switches, routers and firewalls e.g. Cisco Mobility (WLC), Cisco, Meraki, Fortinet, Arista, etc. plus site-to-site VPN connections using IPSec and IKE protocols
• Understanding of IT Security and Privacy Principles, network layer high availability and resiliency technologies such as HSDPA
• Familiarity with LogicMonitor or similar network monitoring and alerting tools
• Experience or knowledge of Wireless Heat Mapping with Ekahau or similar technologies is an added bonus
• Azure, AWS VPC or other hosting and virtualization experience is desirable 
• VMware/Proxmox and Windows Server administration experience, including hardware installation and support.

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

The Information Technology (IT) Alliance plays an important role throughout the HelloFresh business – from delivering the best hardware and software service for each employee to managing the advanced technology in the fulfillment centres and logistic hubs, where the HelloFresh boxes are produced. Through exploration of emerging technologies and automating existing solutions, they're continually optimizing and reducing costs to support our ambitious growth.

Our Infrastructure Engineers assume development and operational responsibility for the HelloFresh network infrastructure that serves millions globally to deliver the best experience for our customers and internal users. Based in Phoenix, Arizona you will provide on-site support to the Phoenix Metro area, including Goodyear. Together with Infrastructure Engineers from North America, Europe and Australia you will change the way people eat forever.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

You will...

• Take ownership of the architecture, design, development, deployment and operations of the network infrastructure using best practices 
• Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Product Owners, Infrastructure Engineers and Business teams 
• Have an in-depth understanding of HelloFresh’s network architecture, and act as ambassador for solutions offering support and mentorship to colleagues
• Work with state-of-the-art technologies like Cisco, Meraki and Fortinet

Travel to various of our operating locations within our global stations to support the local teams. (up to 25%)

You have… 

• 3-5 years of progressive experience in Network Engineering, Design & Management
• Experience maintaining LAN, WAN and WLAN infrastructures, Layer 2 and Layer 3 networks as well as IPv4/IPv6 networks and routing
• Working knowledge of enterprise switches, routers and firewalls e.g. Cisco Mobility (WLC), Cisco, Meraki, Fortinet, Arista, etc. plus site-to-site VPN connections using IPSec and IKE protocols
• Understanding of IT Security and Privacy Principles, network layer high availability and resiliency technologies such as HSDPA
• Familiarity with LogicMonitor or similar network monitoring and alerting tools
• Experience or knowledge of Wireless Heat Mapping with Ekahau or similar technologies is an added bonus
• Azure, AWS VPC or other hosting and virtualization experience is desirable 
• VMware/Proxmox and Windows Server administration experience, including hardware installation and support
  
  

You’ll get…

• Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
• Generous PTO, including sabbatical, and parental leave of up to 16 weeks
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Tuition reimbursement for continuing education
• Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
• Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain
  
  

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors

About the Role

The Challenge

Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data?

The Team and Scope

As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage.

Our Stack and Philosophy

We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you.

Your First 90 Days

Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.

What You Will Do

• Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
• Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
• Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
• Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
• Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
• Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business

Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas.  Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices.  We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.  

Please let us know if you need accommodations at any point during the interview process.

What We Look For

• Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
• Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
• Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
• Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
• Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.

We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.

Interview Roadmap:

• Recruiter phone interview (30 mins)
• At-home coding assessment (60 mins)
• Hiring Manager video interview (60 mins)
• Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days

How we will take care of you

Everyone at Caribou is a valued team member. Our compensation and benefits package includes: 

• Competitive compensation: $175k - $215k
• Eligible for annual performance based bonus
• Equity options
• 401k savings program
• Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
• Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
• Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
• Up to $1,000 per year for eligible professional development expenses.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Job Description

The Director, Site Reliability Engineering plays a critical role in ensuring the continuous and reliable operation of SmartRent services at the property level. This role drives system reliability, oversees property health, and partners closely with Engineering and Support teams to develop scalable processes and observability tools that sustain operational performance and deliver consistent client value.

Responsibilities

• Own property-level system reliability outcomes, including oversight of device-only networks and overall property health performance. 
• Drive adoption and effective utilization of SmartRent tools and services across properties through monitoring, insights, and continuous improvement efforts.
• Establish proactive detection and response frameworks to identify localized system issues and lead coordinated cross-functional resolution efforts. 
• Provide leadership oversight of property transfers and escalated issues, ensuring consistent resolution standards and service continuity. 
• Partner with Engineering leadership to design and implement observability tools and processes that enable scalable monitoring of system health and events.
• Define, document, and enforce standardized operational processes to ensure consistency, accountability, and cross-functional alignment. 
• Collaborate with Support leadership to develop dashboards and reporting capabilities that deliver actionable insights into property engagement, activity, and performance trends. 
• Lead the strategic oversight of IoT support operations, including installation support workflows and escalation management frameworks. 
• Oversee validation and controlled deployment of IoT firmware updates across hubs and connected devices to ensure reliability and minimize operational risk.
• Establish and maintain data integrity standards at the property level while contributing domain expertise to enterprise knowledge resources and training materials.

Required Qualifications

• Demonstrated experience in network operations, including both wired and wireless environments. 
• Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). 
• Strong troubleshooting expertise, including developing and maintaining runbooks and technical documentation. 
• Foundational programming, scripting, and automation skills; ability to leverage automation to improve operational efficiency is required. 
• Working knowledge of cloud-based infrastructure, such as AWS or comparable platforms. 
• Significant operational experience with a proven ability to design, implement, and sustain clear, scalable processes that teams consistently follow.
• Strong cross-functional collaboration skills, with experience working across internal teams to resolve complex operational issues and achieve shared goals.

Preferred Qualifications

• Demonstrated business acumen, including the ability to connect reliability and operational efforts to measurable business and customer value.
• Experience translating technical reliability outcomes into clear customer-facing or executive-level value narratives.

ABOUT ROCKET MONEY 🔮

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

ABOUT THE TEAM 🤝

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

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

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

ABOUT THE ROLE 🤹

In this role, you will:

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

ABOUT YOU 🦄

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

Bonus points if:

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

WE OFFER 💫

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

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

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

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

Job Description

The Embedded Software Engineer is responsible for developing and maintaining firmware for SmartRent devices, including Z-Wave controllers (hubs) and access control systems. This role supports the integration of hardware devices with SmartRent platform services, enabling reliable communication between field devices and cloud-based systems.

This role contributes to firmware development using the Nerves framework and Elixir-based systems and collaborates with hardware, platform, and application teams to implement new functionality, support device reliability, and maintain existing device software.

Responsibilities

• Lead medium- to large-scale development efforts across the embedded stack, from firmware through device interfaces, operating with a high degree of autonomy while collaborating with cross-functional teams.
• Design, develop, and maintain firmware for SmartRent IoT devices using Elixir and the Nerves framework.
• Lead the bring-up of new hardware platforms, including driver development, peripheral integration, and system validation.
• Develop and maintain device-local user interfaces running on embedded hardware using technologies such as Phoenix, Flutter, and gRPC.
• Integrate third-party systems, including HVAC, access control, and Z-Wave platforms, by interpreting vendor documentation and supporting required communication protocols.
• Develop and maintain automated tests and supporting documentation to ensure system reliability and prevent regressions across deployed devices.
• Develop project timelines, manage deliverables against defined milestones, and communicate risks, dependencies, and requirement changes proactively.
• Support team development through code reviews, technical guidance, knowledge sharing, and mentorship of less experienced engineers.
• Contribute to internal tooling, shared engineering resources, and open-source initiatives aligned with SmartRent’s technical ecosystem.

Required Qualifications

• Minimum of 4 years of hands-on software development experience.
• Proficiency in Elixir or Erlang/OTP, with working knowledge of the BEAM runtime, or demonstrated ability to learn and apply functional programming concepts.
• Experience with, or demonstrated interest in, embedded Linux systems development.
• Working knowledge of Linux internals, including device trees, kernel configuration, system boot processes, and shell tooling.
• Demonstrated ability to deliver projects from design through deployment with minimal supervision.
• Strong written and verbal communication skills, with the ability to collaborate effectively across teams.
• Demonstrated ability to learn and apply new tools, languages, and technologies as required.
• Must be authorized to work in the United States without the need for employer sponsorship now or in the future.

Preferred Qualifications

• Experience with the Nerves framework or embedded Elixir development.
• Experience with Phoenix, LiveView, or other Elixir-based web frameworks.
• Working knowledge of C/C++ for hardware-adjacent development or driver support.
• Familiarity with IoT communication protocols, such as MQTT, Z-Wave, or BLE.
• Exposure to HVAC or building automation systems.
• Experience integrating access control systems or similar hardware-based platforms.
• Ability to read and interpret hardware datasheets and schematics at a foundational level.
• Experience contributing to open-source projects or shared technical libraries.
• Familiarity with Amazon Web Services (AWS), particularly in IoT-related environments.

#LI-Remote

POSITION SUMMARY

We are seeking a skilled and motivated Field Engineer to join our team. In this hands-on role, you will serve as the critical link between our software engineering team and real-world deployment environments. You will execute, monitor, and troubleshoot software systems in active warehouse and industrial settings, ensuring seamless sensor deployments and high-quality execution across field operations.

KEY RESPONSIBILITIES

• Execute software front-ends (GUI and command-line interfaces) in field warehouse environments
• Troubleshoot software execution issues in real-time, ensuring minimal disruption to operations
• Collaborate closely with the broader software engineering team on issue diagnosis and continuous improvement
• Manage and monitor the quality of software execution in real-time during deployments
• Deploy and configure arrays of sensors into industrial warehouse settings
• Unpack, assemble, configure, disassemble, and transport technical equipment to and from field sites
• Maintain clear, accurate documentation of deployments, issues, and resolutions

REQUIRED QUALIFICATIONS

• 4+ years of experience in a relevant technical field role
• Willingness and ability to travel to field sites as required
• Proficiency with Linux, Bash, and/or Zsh environments
• Strong hands-on ability to unpack, assemble, disassemble, and transport technical equipment
• Demonstrated documentation skills — able to produce clear, thorough technical records
• Strong problem-solving skills with comfort working in fast-paced, dynamic environments
• Effective communicator — able to relay technical findings to both field and remote engineering teams

PREFERRED QUALIFICATIONS (BONUS POINTS)

The following are not required but will make your application stand out:

Software & Systems

• Familiarity with motion capture ecosystems: Optitrack, Manus, StretchSense, or Rokoko
• Experience with AR/VR headsets or Zed stereo cameras
• Basic Python scripting ability for automation or diagnostics
• Experience with AWS CLI and foundational cloud services
• Experience with real-time monitoring tools
• Experience with remote system administration

Hardware & Connectivity

• Knowledge of hardware communication protocols: I2C, SPI, UART
• Experience deploying sensor arrays or IoT devices in the field
• Familiarity with industrial automation or warehouse management systems

Documentation & Operations

• Experience writing technical documentation, SOPs, or deployment guides
• Experience with machine shop tools and physical fabrication

Salary Range: $110,000-$120,000/K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Job Summary:

The CXM will be responsible for building and maintaining strong relationships with our clients, ensuring they derive maximum value from our products and services, and driving client satisfaction and retention. This role requires a proactive approach to problem-solving, a customer-first mindset, and the ability to work cross-functionally with internal teams. The Client Experience Manager is the communication liaison for clients. They must effectively manage client needs, expectations and quickly resolve client issues.

Duties and Responsibilities:

• Act as the primary point of contact for assigned customers, establish and maintain relationships with key decision makers, and guide them through onboarding, adoption, and ongoing support.
• Conduct regular business reviews (Client Success Plans) to develop a deep understanding of the clients technical stack and business objectives.
• Identify and communicate opportunities for the client to successfully consume Abacus's products and services and provide tailored solutions that align with their needs.
• Own day-to-day pipeline management, including lead tracking, qualification, follow-ups, and deal progression from initial contact through close.
• Proactively schedule and conduct in-person client meetings, when feasible, to strengthen relationships, understand client needs, and drive deal progression.
• Advocate for the client by collaborating with internal teams to address issues, share feedback, and improve the customer experience.
• Provide timely action and responses to ad-hoc client requests and questions related to service offerings, products, projects, and billing.
• Handle escalations effectively, ensuring timely resolution of client concerns while maintaining strong relationships.
• Identifies at-risk client relationships and collaborate with internal team to identify issues and implement solutions and "get well" plans to remedy client concerns.
• This is a hybrid role requiring 2-3 days per week in an office location as determined by the business and organizational needs.
• All other duties assigned.

Qualifications and Experience:

• Associate's Degree in Computer Science or similar preferred.
• 3-5+ Years in Customer Success, IT, or technical account management required.

Knowledge, Skills, and Abilities:

• Exceptional communication, presentation, and interpersonal skills.
• Strong problem-solving and conflict-resolution abilities.
• Ability to manage multiple clients and prioritize tasks in a fast-paced environment.
• MSP, IT or Technical Support experience.
• Understanding of backup/disaster recovery concepts.
• Familiarity with cloud and cybersecurity services(Azure, AWS, etc.) and regulatory compliance.
• Possesses a solid understanding of networking fundamentals, including firewalls, switches, routers, access points, and Wi-Fi systems. Demonstrates the ability to explain, and guide clients through networking discussions.
• Advanced understanding of IT service management frameworks and deep knowledge of MSP service delivery models.
• Strong cross-functional team coordination skills.
• Strategies for addressing and resolving client concerns effectively while maintaining relationships.
• Taking responsibility for client outcomes and following through on commitments.
• Demonstrated ability to build trust and rapport with clients at all levels of an organization.
• Principles and practices of relationship management, client lifecycle, and retention strategies.
• Experience with MSA or Support ticketing systems (ConnectWise, Autotask, Service Now, JIRA, Salesforce).

Attributes That Will Drive Success:

• Time management mastery.
• Ability to learn and retain new technology and skills, team player, maintain calm and present yourself professionally in high stress situations.
• Strong communication skills to deliver prompt responses while demonstrating a high level of ownership over the issue.
• Service excellence dedication.
• Initiative-taking approach.
• Process improvement orientation.
• Account management, sales or client negotiating skills.
• Alignment with Abacus’s core values of Act with Integrity, Work and Win Together, Keep Learning and Growing, Turn Disruption into Direction

Salary DOE: 100k+commission

Job Summary:

The CXM will be responsible for building and maintaining strong relationships with our clients, ensuring they derive maximum value from our products and services, and driving client satisfaction and retention. This role requires a proactive approach to problem-solving, a customer-first mindset, and the ability to work cross-functionally with internal teams. The Client Experience Manager is the communication liaison for clients. They must effectively manage client needs, expectations and quickly resolve client issues.

Duties and Responsibilities:

• Act as the primary point of contact for assigned customers, establish and maintain relationships with key decision makers, and guide them through onboarding, adoption, and ongoing support.
• Conduct regular business reviews (Client Success Plans) to develop a deep understanding of the clients technical stack and business objectives.
• Identify and communicate opportunities for the client to successfully consume Abacus's products and services and provide tailored solutions that align with their needs.
• Own day-to-day pipeline management, including lead tracking, qualification, follow-ups, and deal progression from initial contact through close.
• Proactively schedule and conduct in-person client meetings, when feasible, to strengthen relationships, understand client needs, and drive deal progression.
• Advocate for the client by collaborating with internal teams to address issues, share feedback, and improve the customer experience.
• Provide timely action and responses to ad-hoc client requests and questions related to service offerings, products, projects, and billing.
• Handle escalations effectively, ensuring timely resolution of client concerns while maintaining strong relationships.
• Identifies at-risk client relationships and collaborate with internal team to identify issues and implement solutions and "get well" plans to remedy client concerns.
• This is a hybrid role requiring 2-3 days per week in an office location as determined by the business and organizational needs.
• All other duties assigned.

Qualifications and Experience:

• Associate's Degree in Computer Science or similar preferred.
• 3-5+ Years in Customer Success, IT, or technical account management required.

Knowledge, Skills, and Abilities:

• Exceptional communication, presentation, and interpersonal skills.
• Strong problem-solving and conflict-resolution abilities.
• Ability to manage multiple clients and prioritize tasks in a fast-paced environment.
• MSP, IT or Technical Support experience.
• Understanding of backup/disaster recovery concepts.
• Familiarity with cloud and cybersecurity services(Azure, AWS, etc.) and regulatory compliance.
• Possesses a solid understanding of networking fundamentals, including firewalls, switches, routers, access points, and Wi-Fi systems. Demonstrates the ability to explain, and guide clients through networking discussions.
• Advanced understanding of IT service management frameworks and deep knowledge of MSP service delivery models.
• Strong cross-functional team coordination skills.
• Strategies for addressing and resolving client concerns effectively while maintaining relationships.
• Taking responsibility for client outcomes and following through on commitments.
• Demonstrated ability to build trust and rapport with clients at all levels of an organization.
• Principles and practices of relationship management, client lifecycle, and retention strategies.
• Experience with MSA or Support ticketing systems (ConnectWise, Autotask, Service Now, JIRA, Salesforce).

Attributes That Will Drive Success:

• Time management mastery.
• Ability to learn and retain new technology and skills, team player, maintain calm and present yourself professionally in high stress situations.
• Strong communication skills to deliver prompt responses while demonstrating a high level of ownership over the issue.
• Service excellence dedication.
• Initiative-taking approach.
• Process improvement orientation.
• Account management, sales or client negotiating skills.
• Alignment with Abacus’s core values of Act with Integrity, Work and Win Together, Keep Learning and Growing, Turn Disruption into Direction

About the Role

We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern application development technologies and practices. The focus of this role is on building and maintaining robust, scalable, and high-performance applications across the full stack using TypeScript and some Python. Some experience with React and/or Angular would be helpful.

This role requires not only technical proficiency but also a forward-thinking perspective on the role of Artificial Intelligence (AI) in modern software development. Candidates must demonstrate an active engagement with AI tools, understanding their practical use, current limitations, and the strategic opportunities they present for the engineering discipline.

Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with some on-site work required at times.

Key Responsibilities

• Lead the design, development, and deployment of complex features across both the frontend and backend of our clients’ products.
• Write clean, maintainable, and well-tested code using TypeScript for type safety and scalability on both the client and server.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Collaborate with other team members to set technical standards, establish best practices, and make architecture decisions.
• Actively research and evaluate new technologies, tools, and methodologies to improve the engineering process.
• Demonstrate and articulate a practical understanding of AI tools (e.g., planning, code generation, intelligent testing frameworks) in daily engineering tasks, including their effective application and inherent limitations.

Qualifications

• 5+ years of experience in full-stack software development.
• Expert-level proficiency with TypeScript, including complex type definitions and advanced language features.
• Strong experience with server-side development, including building and consuming RESTful APIs or GraphQL services (proficiency with Hono Framework is a plus).
• Proficiency with relational and non-relational databases
• Familiarity with modern CI/CD pipelines, containerization (Docker), and cloud platforms (primarily AWS, with experience in GCP and/or Azure a plus).
• Preferred, but not required: Proficiency with React and its ecosystem (e.g., Hooks, Context API, Next.js, or similar frameworks). Experience with Angular (any version) in a professional capacity is a plus.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Salary Range $135,000 - $175,000

Application Process

A cover letter is required. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial Screening Call
• A Technical Assessment sent by email and returned by email
• A Panel Interview

The Role

As a Senior Full Stack Engineer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities

• Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
• Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
• Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
• Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
• Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
• Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
• Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.

Qualifications

Required

• 5+ years of professional experience in full-stack software development.
• Expert-level proficiency in Python for backend development.
• Strong working proficiency with Node.js.
• Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
• Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
• Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
• Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
• Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).

Nice to Have

• Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
• Familiarity with TypeScript for robust front-end or Node.js development.
• Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
• Experience working in a regulated or compliance-focused environment.
• A Bachelor’s or Master’s degree in Computer Science or a related technical field.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Application Process

To apply, please submit your resume and a cover letter. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial screening email
• A Technical Assessment Interview
• A Panel Interview

Salary Range $140,000 - $175,000

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.

WHAT WE DO

Our AI and Technology consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

The ideal candidate’s experience may include but is not limited to the following:

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity, and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.