Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

FLSA Classification: Exempt

Salary Range: $240,000 - $260,000 plus bonus and incentive stock options

Reports to: SVP, Engineering & Construction

Location: Brooklyn, NY (Hybrid)

About The Company:

NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State’s mission to achieve 100% clean energy by 2040.

With the backing of Manulife Investment Management and The Carlyle Group - two of the world’s leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York’s grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement.

Job Summary:

Reporting to the SVP, Engineering & Construction, the Vice President, Engineering provides executive leadership and full ownership of NineDot Energy’s Engineering function across the company’s renewable energy and battery energy storage (BESS) portfolio. This role is accountable for engineering strategy, technical governance, and portfolio-wide engineering outcomes from early feasibility through commissioning and commercial operation.

The VP, Engineering serves as NineDot’s senior technical authority, with deep expertise in electrical power systems and SCADA/controls, and broad working knowledge across civil, structural, mechanical, and fire protection disciplines. The role is responsible for final technical decision-making and ensures all engineering solutions meet the highest standards for safety, reliability, constructability, regulatory compliance, cost effectiveness, and long-term asset performance.

In addition to technical leadership, the VP, Engineering is responsible for building and scaling a high-performing engineering organization, establishing clear standards and decision frameworks, and enabling consistent, high-quality technical execution. The role partners closely with Development, Project Planning & Permitting, Construction, Project Controls, Finance, Legal, and Operations to deliver complex projects efficiently and responsibly.

Responsibilities:

Engineering Leadership, Governance & Technical Authority

• Own and lead the Engineering function, including enterprise engineering strategy, governance, standards, systems, and organizational design.
• Serve as NineDot’s final technical authority, with decision rights to approve, modify, or reject engineering approaches, consultant recommendations, and vendor solutions.
• Establish, maintain, and evolve enterprise-wide engineering standards and QA/QC frameworks to ensure technical rigor, safety, constructability, and regulatory compliance across the portfolio.
• Define and implement scalable engineering processes that support portfolio growth while aligning with business objectives, risk tolerance, and long-term asset strategy.
• Maintain accountability for engineering quality, consistency, and risk management across all projects and development stages.
• Retain deep technical credibility and hands-on capability to engage in complex or high-risk engineering matters directly.
• Ensure compliance with all applicable codes, standards, and regulatory requirements, including NEC, NFPA, IEEE, UL, ASCE, NYC Building Code, FDNY regulations, Con Edison, and NYISO standards.
• Oversee system-level design integrity across electrical power systems, SCADA and controls, grounding, protection coordination, interconnection, fire protection, and life safety systems.

Project & Portfolio Engineering Oversight

• Own engineering outcomes across the full project lifecycle, from early feasibility through IFC, construction support, and as-built documentation.
• Ensure engineering solutions align with cost, schedule, safety, constructability, operational objectives, and portfolio risk tolerance.
• Lead and sponsor integrated design reviews at key milestones, holding internal teams and external engineering vendors accountable for multidisciplinary coordination, technical quality, and delivery performance.
• Provide executive technical leadership in resolving complex RFIs, nonconformances, change requests, and field engineering issues, including defining and validating system testing, commissioning, and acceptance procedures (FAT/SAT) in coordination with Construction and Operations.
• Drive continuous improvement through post-project technical reviews, incorporating lessons learned into standards, specifications, and engineering processes.

Organizational & People Leadership

• Build, lead, and develop a high-performing Engineering organization by establishing clear structure and accountability, recruiting and growing top talent, and fostering a culture of technical excellence, collaboration, and continuous improvement.

Cross-Functional, External Engagement & Continuous Improvement

• Serve as NineDot’s senior external technical representative, leading regulatory engagement and stakeholder relationships with NYC DOB, FDNY, utilities, AHJs, engineering partners, and industry forums.

Core Competencies:

• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
• Drives Results - Constantly achieving results, even under tough circumstances.
• Interpersonal Savvy - Relating openly and comfortably with diverse groups of people.
• Cultivates Innovation - Creating new and better ways for the organization to be successful.
• Financial Acumen - Interpreting and applying understanding of key financial indicators to make better business decisions.
• Strategic Mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies.
• Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Business Insights - Applying knowledge of business and the marketplace to advance the organization’s goals.
• Develops Talent - Developing people to meet both their career goals and the organization’s goals.
• Directs Work - Providing direction, delegating, and removing obstacles to get work done.
• Ensures Accountability - Holding self and others accountable to meet commitments.

Required education and experience:

• Bachelor’s degree in Engineering from an accredited institution (civil, electrical, mechanical, or related engineering discipline required).
• Minimum of 15+ years of progressive engineering experience, including leadership of multidisciplinary engineering teams on complex energy or infrastructure projects.
• Professional Engineer (PE) license required; New York State licensure strongly preferred (or ability to obtain within 6 months).
• Proven experience leading and scaling engineering teams within a multi-project development environment.
• Experience supporting energy projects in New York City that have successfully achieved permitting approval from the NYC Department of Buildings is preferred.
• Strong familiarity with New York State and local regulations governing renewable energy and battery storage projects.
• Excellent written and verbal communication skills, with the ability to present technical concepts to executive leadership and external stakeholders.
• Demonstrated ability to manage competing priorities, assess risk, and deliver results in a fast-paced environment.
• Highly organized, detail-oriented, and results-driven.
• Proficiency with Google Suite and Microsoft Office; experience with Procore, SAP and Airtable or similar tools is a plus.

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

At NineDot Energy, we believe diverse perspectives drive innovation and are the foundation of our success. As such, we do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, age, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.

If you're passionate about this role but don’t meet every qualification listed, we still encourage you to apply. You may be the right candidate for this or other opportunities with us. We’re committed to building a team that reflects a broad range of experiences, backgrounds, and skills.

NineDot Employee benefits include but are not limited to:

• Medical, dental and vision coverage
• 5% employer match on your 401k retirement account
• 20 paid vacation days off, plus 7 sick days, 9 federal holidays and 3 personal floating holidays
• 12 weeks of 100% paid parental leave for both the primary and secondary caregiver within the first year of birth or adoption
• Wellness initiatives including a $1,000 stipend
• 16 volunteer hours plus two planned company-wide volunteer outings per year

About the position

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

Who We're Looking For

As an Simulation Engineer - FEA, you will build hands-on experience applying finite element analysis to real-world engineering challenges across multiple industries including aerospace and defense. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.

You bring expertise in structural mechanics, and materials science with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of NASTRAN, ABAQUS or ANSYS Mechanical, adept at automating these tools to create scalable optimisation workflows that drive impactful results. Exposure to open-source FEA tools (CalculiX, FEniCS), or explicit dynamics (LS-DYNA, Abaqus/Explicit) is a plus. Proficiency in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to quickly learn programming languages), is an advantage.

With 1-2 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up FEA simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement. Familiarity with turbomachinery analysis, gas turbine, or aircraft structural sizing is a natural fit for this role. Experience with multidisciplinary optimization (MDO) is a bonus, though not essential at this level. In addition, background in composite materials analysis alongside some exposure to damage tolerance and fracture mechanics, would be a strong fit as well.

Note: Due to the nature of our aerospace and defense work, this position is open to US citizens only.

This Role

In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.

You’ll play a crucial role in delivering high-fidelity simulations by:

• Assist in building complex structural and multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
• Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation through scripting, for executing advanced design optimization and DoE studies.
• Partner with customers to address their most complex engineering challenges through advanced FEA & AI solutions; communicate results clearly
• Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
• Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
• Document your work through clear technical reports and process notes, contributing to the team's shared knowledge base.
• Traveling domestically and globally (North America, Europe, Asia, Oceania) up to 3-4 weeks per quarter to work side-by-side with customers in building solutions on-site.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

What we offer

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump's infrastructure team is a global organization of Engineers who architect, build, and maintain our world-class infrastructure. From colocation design and implementation, to optimizing exchange connectivity, to building low-latency wide area networks and world-class HPC research clusters, we leverage research and automation to consistently innovate and scale our infrastructure to drive our trading and evolving business.

We are looking for an experienced Electrical Engineer to lead the electrical engineering design and oversight of Jump's mission-critical HPC data center infrastructure. This role takes responsible charge of power system design, from medium voltage distribution through high-density rack-level delivery, across new builds, expansions, and ongoing operations. You will establish electrical design standards, perform engineer-of-record duties, and work closely with mechanical, structural, and technology teams to ensure integrated, resilient system design for our high-performance computing environments.

What You'll Do:

Electrical System Design & Standards
- Lead the electrical engineering design for Jump's critical HPC data center infrastructure projects, taking responsible charge for overall project delivery and technical excellence.
- Design/Review plans for  complex power systems including generator plants, medium voltage distribution, uninterruptible power systems, automatic transfer systems, and redundant power architectures for mission-critical facilities.
- Develop initial electrical system concepts and establish design standards, specifications, and criteria for data center projects.
- Perform calculations, equipment selection, equipment specification, system design, and system layout for high-density computing environments.
- Produce high-quality technical deliverables including drawings, specifications, and reports consistent with Jump requirements and industry standards.

Engineer of Record & QA/QC
- Perform Engineer of Record duties and assume responsible charge for electrical discipline deliverables.
- Serve as engineer of record for electrical power striping from RPPs/busways to device cabinets, ensuring correct phase balancing, circuit allocation, and redundancy across high-density HPC environments.
- Participate in QA/QC processes and technical reviews of work produced by team members and external partners.
- Conduct due diligence reports, gap analyses, and feasibility studies for new data center sites and expansions.

Project & Team Leadership
- Lead multi-discipline project teams and coordinate with mechanical, structural, and technology teams to ensure integrated system design.
- Establish and manage project budgets, schedules, and resource allocation for assigned projects.
- Mentor and train junior engineers while providing technical leadership and guidance.

Construction & Field Operations
- Perform field investigations, construction administration, and commissioning oversight.
- Process and review RFIs, change orders, bulletins, and addenda during construction phases.
- Evaluate existing site conditions and provide detailed assessment reports.

Vendor & Stakeholder Management
- Interface with colocation providers, contractors, equipment vendors, and manufacturers throughout the project lifecycle.
- Support business development activities and maintain relationships with key stakeholders.

AI-Driven Engineering
- Use AI tools daily to accelerate design work, perform calculations, analyze power data, draft documentation, and improve engineering workflows.
- Identify opportunities to apply AI across electrical design and operational processes.

Codes, Standards & Continuing Education
- Maintain current knowledge of electrical codes, industry standards, and emerging technologies relevant to data center design.
- Stay current with LEED principles and their application to data center environments.

Additional duties as assigned or needed.

Skills You'll Need:

- Bachelor's degree in Electrical Engineering or Architectural Engineering with electrical building systems emphasis from an accredited university.
- Professional Engineer (PE) license required.
- EIT credential required if PE not yet obtained.
- Minimum 7+ years experience designing electrical systems for mission-critical facilities, data centers, or high-performance computing environments, preferably in a consulting or end-user engineering capacity.
- Proven track record as lead project engineer capable of directing technical teams and managing complex projects.
- Experience interacting with clients, contractors, architects, and cross-functional project teams.
- Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
- Excellent written and verbal communication skills with ability to interface with technical and non-technical stakeholders.
- Strong project management skills including proposal writing, budget management, and stakeholder relations.
- Attention to detail, highly organized, self-starter with ability to manage multiple projects simultaneously.

Technical Skills:

- Expert knowledge of electrical systems including medium/low voltage distribution, emergency power systems, UPS systems, and grounding.
- Experience with data center-specific requirements including redundancy levels (N, N+1, 2N), concurrent maintainability, fault tolerance, and high-density power distribution.
- Proficiency with Revit and AutoCAD MEP for electrical design and Building Information Modeling (BIM).
- Ability to read and review floor plans, sections, elevations, and visualize systems in 3D space.
- Strong working knowledge of electrical codes and standards (NEC, NFPA, IEEE).
- Understanding of LEED principles and their application to data center environments.
- Programming/scripting experience (Python preferred) is a plus.
- Demonstrated heavy use of AI tools (e.g., LLM-based assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.
- Extremely high personal standards for work quality.
- Reliable and predictable availability, including the ability to work evenings and weekends as required.

Navan is seeking a Senior Applied Economist to join the Data Science & Machine Learning team. This is a foundational, "first-of-its-kind" role at Navan, designed for a technical leader who can bridge the gaps between hands-on machine learning, rigorous economic theory, and driving business outcomes.

In this role, you will be the primary architect of our internal economic "brain." You will move beyond point-estimate forecasting to build sophisticated models that account for market nuances, uncertainty, and causal drivers. You will partner closely with Finance, Treasury, and FP&A to steer the company’s financial trajectory, while providing the strategic frameworks that Sales and Pricing teams use to maximize customer adoption and revenue.

What You’ll Do:

• Next-Generation Forecasting: Uplevel our existing forecasting pipelines (currently built on Prophet). You will integrate econometric rigor to improve accuracy and, crucially, provide a range of likely outcomes (probabilistic forecasting) that Finance and Treasury can rely on for risk management.
• Causal Inference & Strategy: Design and execute experimental and quasi-experimental frameworks to identify the "levers" of the business. You will answer critical questions regarding price elasticity, product feature attribution, and the ROI of sales incentives.
• Strategic Blueprinting: Partner with Sales and Account Management to create data-driven frameworks for pricing and customer retention. You will translate complex causal models into actionable blueprints for go-to-market teams.
• Production-Level Data Science: Work hands-on within our ML infrastructure. You will write production-quality Python code to deploy models into our AWS and Snowflake-based ecosystem, ensuring your insights are automated and scalable.
• Internal Advisory: Act as the subject matter expert on economic literature and methodology, translating technical findings into strategic recommendations for executive leadership.

What We’re Looking For:

• Education: An advanced degree (PhD preferred, Masters required) in Economics, Statistics, or a related quantitative field with a heavy emphasis on econometrics or causal inference.
• Experience: 4+ years of post-academic experience in an applied research, finance, or data science role, ideally within a high-growth tech environment or fintech.
  • Technical Proficiency:
    • Deep expertise in Python and its data science ecosystem (pandas, statsmodels, scikit-learn, etc.).
    • Advanced SQL skills, with experience querying large-scale data warehouses like Snowflake.
    • Experience working in production environments and a strong understanding of the ML lifecycle is nice to have.
• Econometric Mastery: Proven ability to apply advanced methods (e.g., Synthetic Control, IV, Diff-in-Diff, Structural Modeling) to messy, real-world datasets.
• Self-Starter Mentality: Experience functioning in "underdefined" spaces. As our first economist, you must be comfortable setting the roadmap.
• Communication: The ability to explain not just the "what," but the "why" and the "what if." You can communicate uncertainty and risk to a CFO just as clearly as you can discuss model architecture with an ML Engineer.
• Preferred Qualifications:
  • Prior experience in Fintech, Payments, or Travel industries.
  • Experience building and scaling "first-of-their-kind" functions within a data organization.

About the Role

We’re hiring a Quality & Reliability Engineer to level up how we test, release, and operate software at Dirac. You’ll work closely with our engineering team to drive end-to-end quality—improving test coverage, automation, observability, and incident response across our platform.

This is a hands-on IC role with high leverage. You’ll reduce downtime, increase confidence in releases, and make everyone around you more effective—by embedding quality into the way we build, ship, and operate.

What You’ll Do

- Own Quality at Scale – Design and implement test plans, coverage strategies, and reliability workflows that improve release hygiene and catch issues early.
- Build Test & Release Infrastructure – Develop and maintain automated test frameworks and CI/CD pipelines that gate broken code and keep staging environments clean.
- Improve Observability & Debuggability – Strengthen logging, alerting, and monitoring to make failures fast and easy to diagnose.
- Act as a Reliability Partner – Work alongside software and DevOps engineers to reduce flakiness, prevent regressions, and keep BuildOS production-ready.
- Lead Postmortems & Incident Reviews – Help build a blameless culture of learning, where quality issues lead to structural improvements, not just quick fixes.
- Bridge Engineering & Customer Teams – Embed insights from support, QA, and the field directly into automated test cases and product workflows.

What You Bring

- Experience with modern QA and testing practices, including unit, integration, and end-to-end tests.
- Familiarity with test frameworks like Cypress, Jest, PyTest, Selenium, etc.
- Experience building or maintaining CI/CD pipelines (GitHub Actions, GitLab, CircleCI, etc.).
- Experience with modern build and deployment tooling (e.g., Terraform, Docker, NixOS, CircleCI)
- Strong programming comfort in TypeScript, Python, or C++.
- Familiarity with gRPC, HTTP APIs, and scripting tools like Postman or curl.
- Systems thinker who sees how bugs ripple through code, infrastructure, and users.
- Strong communicator—can work across functions and translate messy problems into clean fixes.
- High agency and ownership—you don't just find problems, you fix them.

Nice To Have

- Experience with release automation, staging hygiene, or canary/bake-in pipelines.
- Background in manufacturing, industrial systems, or related physical industries.
- Early-stage startup experience—comfortable with ambiguity and momentum.